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80 Actuarial Science Research Topics

FacebookXEmailWhatsAppRedditPinterestLinkedInIf you’re an aspiring scholar seeking captivating research avenues in Actuarial Science, you’ve arrived at the right destination. This blog post serves as a treasure trove of intriguing actuarial science research topics tailored for your thesis or dissertation at the undergraduate, masters, or doctoral level. Delve into the world of Actuarial Science and uncover a […]

If you’re an aspiring scholar seeking captivating research avenues in Actuarial Science, you’ve arrived at the right destination. This blog post serves as a treasure trove of intriguing actuarial science research topics tailored for your thesis or dissertation at the undergraduate, masters, or doctoral level.

Delve into the world of Actuarial Science and uncover a diverse array of subjects that fuse mathematics, statistics, and finance to tackle complex challenges in risk assessment, financial modeling, and more. Whether you’re at the outset of your academic journey or seeking to dive deeper into this dynamic field, these research topics will guide your exploration and contribute to the advancement of Actuarial Science knowledge.

A List Of Potential Research Topics In Actuarial Science:

Actuarial considerations for cyber insurance policy pricing.
Actuarial approaches to managing risks associated with pandemic-related insurance claims.
Actuarial implications of social inflation on liability insurance.
Role of actuaries in sustainable development finance and impact investing.
Impact of technological disruption on insurance distribution channels.
Role of actuaries in analyzing the financial impact of catastrophic events on insurance portfolios.
Evaluating the impact of genetic information on life insurance underwriting.
Actuarial approaches to analyzing longevity-linked bonds.
Role of actuaries in analyzing longevity risk transfer solutions.
Evaluating investment risk in insurance-linked securities.
Evaluating mortality improvement assumptions for pension valuations.
Evaluating the role of actuaries in managing investment risks for pension funds.
Role of actuaries in analyzing longevity risk for pension plans.
Actuarial implications of medical advances on health insurance.
Behavioral biases in retirement savings decisions and their impact.
Actuarial considerations for catastrophe bonds and alternative risk transfer.
Designing risk-sharing mechanisms in income protection insurance.
Evaluating the effectiveness of predictive modeling in fraud detection for insurance claims.
Managing longevity risk in defined benefit pension plans.
Economic valuation of intangible assets in insurance company portfolios.
Evaluating the impact of changing regulatory environments on insurance solvency.
Evaluating the effectiveness of data-driven pricing strategies in property and casualty insurance.
Evaluating the impact of social media data on insurance pricing.
Actuarial approaches to modeling medical cost trends in health insurance.
Role of actuaries in assessing the impact of technological advancements on life insurance products.
Impact of artificial intelligence on insurance underwriting processes.
Actuarial modeling of non-traditional insurance risks.
Cryptocurrency risk assessment in insurance investment strategies.
Actuarial considerations for climate-related catastrophe risk bonds.
Actuarial pricing models for microinsurance products.
Actuarial considerations for variable annuities with living benefit guarantees.
Actuarial approaches to optimizing retirement withdrawal strategies.
Pricing strategies for insurance policies in the gig economy.
Risk assessment for insurance companies in emerging markets.
Evaluating the impact of autonomous vehicles on motor insurance.
Actuarial analysis of annuity buyouts for defined benefit pension plans.
Actuarial modeling of longevity risk securitization.
Role of actuaries in assessing environmental liability risks.
Role of actuaries in developing sustainable insurance pricing strategies.
Actuarial assessment of climate risk disclosure requirements.
Evaluating the impact of demographic shifts on insurance demand.
Actuarial analysis of multi-line insurance policies and diversification benefits.
Designing innovative microinsurance products for climate-related risks in developing countries.
Role of actuaries in pricing and reserving for captive insurance companies.
Actuarial analysis of mortality and morbidity trends in critical illness insurance.
Evaluating the impact of pandemic outbreaks on insurance markets.
Ethical considerations in pricing insurance policies for vulnerable populations.
Exploring behavioral biases in insurance decision-making.
Role of machine learning in predicting insurance fraud patterns.
Predictive modeling for insurance policy cancellations.
Actuarial implications of population aging and its effect on retirement plans.
Actuarial aspects of natural catastrophe risk transfer.
Risk-based capital allocation in insurance company portfolios.
Designing optimal reinsurance structures for insurance companies.
Risk-sharing mechanisms in healthcare financing and their actuarial analysis.
Actuarial approaches to pricing and reserving for long-tail liability insurance.
Longevity risk hedging strategies for pension plans.
Actuarial analysis of reserve adequacy for long-term care insurance policies.
Evaluating the performance of dynamic investment strategies for pension funds.
Evaluating the role of actuaries in social impact investing.
Role of actuaries in analyzing the impact of inflation on insurance liabilities.
Actuarial modeling of insurance company capital allocation.
Role of actuaries in designing insurance solutions for cyber threats.
Designing insurance policies for emerging risks in the sharing economy.
The role of machine learning in mortality projection modeling.
Evaluating the impact of alternative energy adoption on insurance markets.
Portfolio diversification strategies for insurance companies.
Designing microinsurance products for agricultural risk mitigation.
Actuarial considerations for modeling mortality improvement trends in annuities.
Designing optimal capital management strategies for insurance companies.
Role of actuaries in analyzing sovereign risk for insurance investment.
Evaluating the impact of climate change on insurance claims frequency.
Pricing and risk assessment for weather derivative products.
Role of actuaries in analyzing risks associated with autonomous vehicles.
Role of actuaries in assessing the impact of climate risk on real estate insurance.
Evaluating the impact of climate change on mortality and morbidity rates.
Evaluating the effectiveness of risk management practices in insurance.
Risk-based pricing strategies for variable life insurance products.
Actuarial analysis of healthcare cost containment strategies.
Assessing the impact of climate change litigation on insurance industry regulations.

In conclusion, Actuarial Science serves as the bedrock of risk management in diverse sectors. From insurance companies to pension funds and beyond, the insights gleaned from actuarial analysis drive strategic decisions that shape financial stability and security. As you consider embarking on your journey in Actuarial Science research, these topics stand as gateways to innovative thinking and intellectual exploration. Through your pursuit of these research avenues, you’ll contribute to the evolving landscape of risk assessment, financial planning, and decision-making.

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Statistics and Actuarial Sciences Theses and Dissertations

This collection contains theses and dissertations from the Department of Statistics and Actuarial Sciences, collected from the Scholarship@Western Electronic Thesis and Dissertation Repository

Theses/Dissertations from 2023 2023

Parameter Estimation for Normally Distributed Grouped Data and Clustering Single-Cell RNA Sequencing Data via the Expectation-Maximization Algorithm , Zahra Aghahosseinalishirazi

Statistical modelling and applications for sustainable-development goals , Yiyang Chen

Multivariate Regression Analysis for Data with Measurement Error, Missing Values, and/or Sparsity Structures , Jingyu Cui

Addressing the Impact of Time-Dependent Social Groupings on Animal Survival and Recapture Rates in Mark-Recapture Studies , Alexandru M. Draghici

Generalized Poisson random variables: Their distributional properties and actuarial applications , Pouya Faroughi

Optimizing Dynamic Treatment Regimes with Q-Learning: Complications due to Error-Prone Data and Applications to COVID-19 Data , Yasin Khadem Charvadeh

Estimating the spatial correlation structure of measurement error in functional magnetic resonance imaging (fMRI) to improve multivariate inference , Lingling Lin

Cyber risk valuation via a hidden Markov-modulated modelling approach , Yuying Li

Advances in Copula Estimation and Distribution Theory , Yishan Zang

Modelling long-term security returns , XINGHAN ZHU

Theses/Dissertations from 2022 2022

Efficiency Improvements in the Least-Squares Monte Carlo Algorithm , François-Michel Boire

Portfolio Optimization Analysis in the Family of 4/2 Stochastic Volatility Models , Yuyang Cheng

Early-Warning Alert Systems for Financial-Instability Detection: An HMM-Driven Approach , Xing Gu

The Analysis of Mark-recapture Data with Individual Heterogeneity via the H-likelihood , Han-na Kim

Statistical Applications to the Management of Intensive Care and Step-down Units , Yawo Mamoua Kobara

Regression-based Methods for Dynamic Treatment Regimes with Mismeasured Covariates or Misclassified Response , Dan Liu

Statistical Roles of the G-expectation Framework in Model Uncertainty: the Semi-G-structure as a Stepping Stone , Yifan Li

Risk theory: data-driven models , Yang Miao

New Developments on the Estimability and the Estimation of Phase-Type Actuarial Models , Cong Nie

Copulas, maximal dependence, and anomaly detection in bi-variate time series , Ning Sun

Interdisciplinary Knowledge Exchange in Statistics with Applications in Fire Science and Statistical Education , Chelsea Uggenti

On the Geometry of Multi-Affine Polynomials , Junquan Xiao

Understanding Deep Learning with Noisy Labels , Li Yi

An Analysis of Weighted Least Squares Monte Carlo , Xiaotian Zhu

Application Of A Polynomial Affine Method In Dynamic Portfolio Choice , Yichen Zhu

Theses/Dissertations from 2021 2021

A class of phase-type ageing models and their lifetime distributions , Boquan Cheng

Application of Stochastic Control to Portfolio Optimization and Energy Finance , Junhe Chen

Making Sense of Noisy Data: Theory and Applications , Lingzhi Chen

The Mean-Reverting 4/2 Stochastic Volatility Model: Properties And Financial Applications , Zhenxian Gong

Compound Sums, Their Distributions, and Actuarial Pricing , Ang Li

On the Estimation of Heston-Nandi GARCH Using Returns and/or Options: A Simulation-based Approach , Xize Ye

Theses/Dissertations from 2020 2020

A Treatise of PD-LGD Correlation Modelling , Wisdom S. Avusuglo WSA

Visualization and Joint Analysis of Monitored Multivariate Spatio-Temporal Data with Applications to Forest Fire Modelling and Sports Analytics , Devan Becker

Generalized 4/2 Factor Model , Yuyang Cheng

Renewable-energy resources, economic growth and their causal link , Yiyang Chen

Some Insurance Options on Stochastic Drawdowns , Filip Dikic

Extensions of Classification Method Based on Quantiles , Yuanhao Lai

Point Process Modelling of Objects in the Star Formation Complexes of the M33 Galaxy , Dayi Li

Classification-based method for estimating dynamic treatment regimes , Junwei Shen

Statistical Methods with a Focus on Joint Outcome Modeling and on Methods for Fire Science , Da Zhong Xi

Ranking comments: An Entropy-based Method with Word Embedding Clustering , Yuyang Zhang

Theses/Dissertations from 2019 2019

A computationally efficient methodology in pricing a guaranteed minimum accumulation benefit , Yiming Huang

Some Recent Developments on Pareto-optimal Reinsurance , Wenjun Jiang

Classification with Measurement Error in Covariates Or Response, with Application to Prostate Cancer Imaging Study , Kexin Luo

Exploring the Estimability of Mark-Recapture Models with Individual, Time-Varying Covariates using the Scaled Logit Link Function , Jiaqi Mu

Split credibility: A two-dimensional semi-linear credibility model , Jingbing Qiu

Advances in Moment-Based Distributional Methodologies , Yishan Zang

How to Rank Answers in Text Mining , Guandong Zhang

On the Sparre-Andersen Risk Models , Ruixi Zhang

Valuation and Risk Management of Some Longevity and P&C Insurance Products , Yixing Zhao

Theses/Dissertations from 2018 2018

Modelling the Common Risk among Equities Using a New Time Series Model , Jingjia Chu

Stochastic modelling of implied correlation index and herd behavior index. Evidence, properties and pricing. , Lin Fang

Optimal Trading of a Storable Commodity via Forward Markets , Behzad Ghafouri

Statistical Modeling of CO2 Flux Data , Fang He

Advances in the Modeling of Heavy-tailed Distributions , Sang Jin Kang

The Statistical Exploration in the $G$-expectation Framework: The Pseudo Simulation and Estimation of Variance Uncertainty , Yifan Li

Statistical tools for assessment of spatial properties of mutations observed under the microarray platform , Bin Luo

Valuation of Multiple Exercise Option Using a Modified Longstaff and Schwartz Approach , Rahim Mohammadhasani Khorasany

Statistical Applications in Healthcare Systems , Maryam Mojalal

Exact Box-Cox Analysis , Samira Soleymani

Anisotropic kernel smoothing for change-point data with an analysis of fire spread rate variability , John Ronald James Thompson

Some applications of higher-order hidden Markov models in the exotic commodity markets , Heng Xiong

Advances in Semi-Nonparametric Density Estimation and Shrinkage Regression , Hossein Zareamoghaddam

Analysis Challenges for High Dimensional Data , Bangxin Zhao

Theses/Dissertations from 2017 2017

Properties of k-isotropic functions , Tianpei Jiang

Data-Adaptive Kernel Support Vector Machine , Xin Liu

Annuity Product Valuation and Risk Measurement under Correlated Financial and Longevity Risks , Soohong Park

Statistical Modelling, Optimal Strategies and Decisions in Two-Period Economies , Jiang Wu

Theses/Dissertations from 2016 2016

Joint Models for Spatial and Spatio-Temporal Point Processes , Alisha Albert-Green

Applications of Credit Scoring Models , Mimi Mei Ling Chong

Joint Analysis of Zero-heavy Longitudinal Outcomes: Models and Comparison of Study Designs , Erin R. Lundy

Data Smoothing Techniques: Historical and Modern , Lori L. Murray

Joint Modelling in Liver Transplantation , Elizabeth M. Renouf

Probability Models for Health Care Operations with Application to Emergency Medicine , Azaz Bin Sharif

Advances in Portmanteau Diagnostic Tests , Jinkun Xiao

Actuarial Modelling with Mixtures of Markov Chains , Yuzhou Zhang

Theses/Dissertations from 2015 2015

Healthy And Unhealthy Statistics: Examining The Impact Of Erroneous Statistical Analyses In Health-Related Research , Britney Allen

Recent Advances in Accumulating Priority Queues , Na Li

Quantitative Techniques for Spread Trading in Commodity Markets , Mir Hashem Moosavi Avonleghi

A Novel Method for Assessing Co-monotonicity: an Interplay between Mathematics and Statistics with Applications , Danang T. Qoyyimi

Completely monotone and Bernstein functions with convexity properties on their measures , Shen Shan

Online Nonparametric Estimation of Stochastic Differential Equations , Xin Wang

On the Dual Risk Models , Chen Yang

Theses/Dissertations from 2014 2014

Statistical methods for the analysis of RNA sequencing data , Man-Kee Maggie Chu

Valuation and Risk Measurement of Guaranteed Annuity Options under Stochastic Environment , Huan Gao

Statistical Applications in Wildfire Management and Prediction , Lengyi Han

Computing and Approximation Methods for the Distribution of Multivariate Aggregate Claims , Tao Jin

The Doubly Adaptive LASSO Methods for Time Series Analysis , Zi Zhen Liu

Risk models with dependence and perturbation , Zhong Li

Censored Time Series Analysis , Nagham Muslim Mohammad

A Spatial Analysis of Forest Fire Survival and a Marked Cluster Process for Simulating Fire Load , Amy A. Morin

Estimation of Hidden Markov Models and Their Applications in Finance , Anton Tenyakov

Perfect and Nearly Perfect Sampling of Work-conserving Queues , Yaofei Xiong

Decision Theory Based Models in Insurance and Beyond , Raymond Ye Zhang

Theses/Dissertations from 2013 2013

Seasonal Decomposition for Geographical Time Series using Nonparametric Regression , Hyukjun Gweon

Stochastic simulation and spatial statistics of large datasets using parallel computing , Jonathan SW Lee

Flexible Partially Linear Single Index Regression Models for Multivariate Survival Data , Na Lei

Joint outcome modeling using shared frailties with application to temporal streamflow data , Lihua Li

Asymptotic Theory for GARCH-in-mean Models , Weiwei Liu

Polynomially Adjusted Saddlepoint Density Approximations , Susan Zhe Sheng

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Statistics and Actuarial Science

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Mathematics and Actuarial Science Honors Theses

Theses/dissertations from 2023 2023.

Special Cases in Estimating Multiple Missing Values in Linear Models , Aaron Christopher Marshall

An Examination into Statistical Evaluations of Major League Baseball Coaches and Managers , Jacob Hamilton Zimmerman

Theses/Dissertations from 2022 2022

Studying Extended Sets from Young Tableaux , Eric S. Nofziger

Identifying how Home Advantage Manifests in Butler Basketball Using SFA , Emily M. Shoemaker

Theses/Dissertations from 2021 2021

Home Sweet Home: A Statistical Analysis of Home Court Advantage in Division I College Basketball , Lauren Isabel Turnbull

Theses/Dissertations from 2020 2020

Model-Based Cluster Analysis of Indiana Social Security Beneficiary Data , Gwendolyn Spencer

Theses/Dissertations from 2019 2019

Utilizing Multi-level Classification Techniques to Predict Adverse Drug Effects and Reactions , Victoria Puhl

Investigating the Factors That Best Describe Student Experience and Performance in College , Abigale Wynn

Theses/Dissertations from 2018 2018

Limits of Julia Sets for Sums of Power Maps and Polynomials , Micah Brame

Theses/Dissertations from 2017 2017

Crossed Product Algebras over Dihedral Field Extensions , Kaitlyn Lee

Complexities of Bi-Colored Rubik's Cubes , Taylor Pieper

Theses/Dissertations from 2016 2016

A Computational And Theoretical Exploration of the St. Petersburg Paradox , Alexander Olivero

Theses/Dissertations from 2015 2015

Symmetries and Patterns In Non-Euclidean Settings , Sarah Elizabeth Stoops

Theses/Dissertations from 2013 2013

Constructions and Enumeration Methods for Cubic Graphs and Trees , Erica R. Gilliland

Theses/Dissertations from 2012 2012

An Investigation of Melodic Musical Modeling Using Homogeneous and Non-Homogeneous Markov Chains , Eric Robert Sherman Buenger

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Actuarial Science Studies Research Project Topics in Actuarial Science for Kenyan Students 1. Modeling of Market Risk in Kenya for Life Insurers 2. Modeling the Impact of Cash Flow Management on The Insurance Industry (A Case

2020, Actuarial Science Studies Research Project Topics

Many actuarial Science Students in Kenya often struggle to find research topics whenever they want to do their researches in the Universities. This Paper should give you an Overview of some of the best topics to choose when doing research at the end of the University course work.

Related Papers

Jef Teugels

British Actuarial Journal

John Pemberton

This paper considers actuarial science within the context of the framework provided by the formal study of scientific method. A review of key points of recent developments within the methodology (study of method) of science and the methodology of economics is presented. A characterisation of actuarial science and its methods is then developed using as inputs the United Kingdom actuarial education syllabus and recent work of the profession, most notably Bell et al. (1998). The methods of actuarial science are then considered within the framework provided by formal methodology to propose an articulation of the methodology of actuarial science. This methodology is explored in relation to that of other sciences, and some of the implications and opportunities for actuarial science which arise from this investigation are identified. The paper concludes that actuarial science has a distinctive and potentially powerful empirical method of applied approximation. This methodological analysis is intended, in part, to add to the momentum of the programme concerned with furthering the use of actuarial methods within broader spheres (e.g. Nowell el al., 1996).

Journal of Insurance and Financial Management

[JIFM] Journal of Insurance and Financial Management

Actuarial function is one of the four key functions of an insurance company according to the Solvency II framework. Actuaries have numerous stakeholders both inside and outside the company. In the present article we show that duties for actuaries are really diverse in an insurance company. After a review on current literature, we discuss the role of actuarial function in solvency, investments, reinsurance, risk management and product management. We discuss also actuarial rules, actuarial administration, and stakeholders of the actuarial function. We conclude by considering the challenges of the actuarial profession and the many opportunities it offers to a young mathematician.

Journal of Probability and Statistics

Ricardas Zitikis

Decisions in Economics and Finance

Marcello Galeotti

International Journal of Management Science Research (IJMSR)

yohanna jugu

With its recent introduction as a course of study in the University of Jos, the number of students applying to study actuarial science in the University remains dismally low. This study was designed to assess the awareness level of actuarial science in the University of Jos community. Primary data obtained with a semi-structured questionnaire administered on 280 respondents comprising academic and non-academic staff and students was analyzed using Descriptive statistical techniques. The study revealed that although the majority of the respondents were aware of actuarial science as a discipline, a considerable number of respondents had not heard about it until now. However, a considerable number of respondents are still in the dark about what actuarial science is and many respondents think that actuarial science and insurance are one and the same. Others are of the belief that actuarial science has to do with auditing and accounting. Still, many others have no idea at all of what it ...

Shadrack Muli

North American Actuarial Journal

Angus Macdonald

Kangkong Kernets

Motivation. Provide an introduction to data quality and data management directed at actuaries. Method. Expand on the concepts in Actuarial Standard of Practice No. 23 (Data Quality), then introduce practical methods that actuaries, actuarial analysts, and management can apply to improve their situation, with references for more information. Results. Information quality is about more than coding data: processes affect quality. There are many principles and practices an actuarial department can employ immediately to improve the quality of the information it deals with. Actuaries have a unique role to play in the bigger arena of improving their organizations' information for decision making and it is in their interests to do so. Conclusions. What every actuary should know about data quality and data management. Availability. Code for creating Box Plots in Excel is a link with this paper at

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Actuarial Science Program

In addition to meeting the requirements of the University, in General Education and in the major, in order to qualify for graduation students must:

Complete six (6) credits in the Complementary Studies Program required of all majors in the School of Computer, Mathematical and Natural Sciences (SCMNS)
Pass the Senior Departmental Comprehensive Exam
Take all of junior - and senior - level actuarial science requirements in the Major at Morgan State University (unless granted prior written permission by the Dean of SCMNS to take courses elsewhere)
Earn a cumulative average of 2.0 or better and a major average of 2.5 or better, with no outstanding grades below "C" in the major (which includes all courses required for the major and required supporting courses)
Complete all Validation by Educational Experience (VEE) requirements for Applied Statistical Methods, Corporate Finance and Economics
Sit for at least one of the Society of Actuaries' examinations before graduation.
Prepare and present a senior thesis on an insurance/actuarial science-related topic that will be conducted under the supervision of a qualified faculty member and/or professional actuary. Students will give an oral presentation of their research to the Mathematics Department and School of Computer, Mathematical and Natural Sciences. Students may be able to substitute their senior thesis for a full technical report and presentation on an internship experience where students were immersed in the capacity of an actuarial science analyst or job-specific trainee

Upon successful completion of this four-year program, the student is awarded the B.S. Degree in Actuarial Science/ Mathematics (with concentration in Actuarial Science) by Morgan State University.

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Editorial for special issue on advances in Actuarial Science and quantitative finance

Published: 05 June 2022
Volume 24 , pages 475–479, ( 2022 )

Cite this article

actuarial science undergraduate thesis topics

Runhuan Feng ORCID: orcid.org/0000-0002-9957-1019 1 ,
José E. Figueroa-López 2 ,
Junyi Guo 3 &
Claude Lefèvre 4

1735 Accesses

Explore all metrics

This article provides an overview of all papers published on the special issue, Advances in Actuarial Science and Quantitative Finance. The special issue is intended to collect articles that reflect the latest development and emerging topics in these closely related two areas. Topics included in this special issue range from actuarial and risk theory, to optimal control for finance and insurance, to statistical inferences of financial and insurance models, to pricing, valuation and reserving.

Avoid common mistakes on your manuscript.

This special issue is created in conjunction with the 57th Actuarial Research Conference (ARC), which will take place at the University of Illinois at Urbana-Champaign from August 4 to 6, 2022. The Actuarial Research Conference series is one of the premier actuarial research conferences in the world. The ARC provides an annual opportunity for academics and practitioners to meet and discuss actuarial problems and their solutions. The conference is the central meeting point in North America for academics, researchers and practitioners from all over the continent and the world to gather and address all aspects of actuarial science. The ARC promotes all topics in education, research and industry engagements. The organizers hope to use this opportunity to reflect on the latest development in the field of actuarial science and quantitative finance during the COVID-19 pandemic and promote the interactions and collaborations between the applied probability and actuarial communities.

The purpose of this special issue to highlight the development of innovative probability models, methodologies and applications reflecting recent trends in finance and insurance. We are pleased with the large volumes of high-quality submissions to this special issue. There are a wide range of topics that have been submitted to this special issue, including epidemiological modeling, especially pertaining to the COVID-19 pandemic, risk theory and queuing theory, asset and liability management techniques, risk measures, solvency and financial instability, Monte Carlo simulations and other computational methods, as well as emerging risks modeling and technologies (cyber, climate, machine learning).

This special issue has a rich collection of 32 articles contributed by leading authors from all over the world. It is a testimony to the popularity of applied probability and statistical modeling and analysis in the literature of actuarial and financial mathematics. While it is impossible to provide a comprehensive review of all research work in a selected collection, we believe that this special issue offers a glimpse of the growing diversity of research interests in actuarial science and quantitative finance.

The papers in this collection can be roughly divided into four groups, each of which consists of multiple topics of active research in the literature.

1 Actuarial and Risk Theory

The mathematics of life and non-life insurance occupy a central place in actuarial science. The articles below show the variety of risk models studied (classical, renewal, diffusion approximation, epidemic type, …). They also highlight the many tools and methods useful for their analysis (ruin measurements, penalty function, stochastic orders, dependency modeling, …).

On the Discounted Penalty Function in a Perturbed Erlang Renewal Risk Model with Dependence

By F. Adékambi and E. Takouda.

On the Randomized Schmitter Problem

By H. Albrecher and J. C. Araujo-Acuna.

Ruin and Dividend Measures in the Renewal Dual Risk Model

By R. G. Alcoforado, A. I. Bergel, R. M. R. Cardoso, A. D. Elgídio dos Reis,

and E. V. Rodriguez-Martinez.

“Some Expressions of a Generalized Version of the Expected Time in the Red and in the.

Expected Area in the Red”.

By J. Callant, J. Trufin and P. Zuyderhoff.

On the Risk of Ruin in a SIS Type Epidemic

By C. Lefèvre and M. Simon.

General Draw-Down Times for Refracted Spectrally Negative Lévy Processes

By X. Huang and J. Zhou.

“Polynomial Series Expansions and Moment Approximations for Conditional Mean Risk.

Sharing of Insurance Losses”.

By M. Denuit and C.-Y. Robert.

“A Tail Measure with Variable Risk Tolerance: Application in Dynamic Portfolio.

Insurance Strategy”.

By W. Hu, C. Chen, Y. Shi and Z. Chen.

Bivariate Sarmanov Phase-Type Distributions for Joint Lifetimes Modeling

By K. Moutanabbir and H. Abdelrahman.

Fraction-Degree Reference Dependent Stochastic Dominance

By J. Yang, C. Zhao, W. Chen, D. Zhou and S. Han.

2 Optimization and Control in Finance and Insurance

Optimal control problems for life and non-life insurance are important research areas in actuarial mathematics. Optimal investment, reinsurance and dividend payment strategies under various objectives such as minimizing the probability of ruin, maximizing the utility of the terminal wealth and the expected total discounted dividends for the insurers are main topics in recent years. Also pension management and portfolio optimization in life insurance and finance play an important role in practice. The optimal stopping theory is another research area which has been applied in finance and insurance to find the optimal stopping strategies for various purposes. In recent years, deep learning as an efficient tool has attracted more attentions. The articles are evidence of recent progress in the above-mentioned research areas and contribute to interdisciplinary studies of insurance mathematics, finance and optimal control theory.

Bond Prices Under Information Asymmetry and a Short Rate with Instantaneous Feedback

By P. Chakraborty and K. Lee.

Portfolio Selection and Risk Control for the Insurer with Uncertain Time Horizon and Partial Information in an Anticipating Environment

By F. Chen, B. Li and X. Peng.

“Optimal Double-Stopping Problems for Maxima and Minima of Geometric.

Brownian Motion”.

By P. Gapeev, P. Kort, M. Lavrutich and J. Yhijssen.

Deep Learning for Constrained Maximisation

By A. Davey and H. Zheng.

“Optimal DC Pension Management Under Inflation Risk with Jump Diffusion Price Index and Cost of Living Process”.

By X. Zhang.

Robust Optimal Investment Problem with Delay under Heston’s Model

By Y. Zhao, H. Mi and L. Xu.

“Hitting Time Problems of Sticky Brownian Motion and Their Applications in Optimal.

Stopping and Bond Pricing”.

By H. Zhang and Y. Tian.

“Optimal Mean-Variance Investment-Reinsurance Strategy for a Dependent Risk Model.

With Ornstein-Uhlenbeck Process”.

By Y. Tian, Z. Sun and J. Guo.

Portfolio Optimization with a Guaranteed Minimum Maturity Benefit and Risk-Adjusted Fees

By A. MacKay and A. Ocejo.

3 Statistical Inferences for Financial and Insurance Models

There are two broad classes of financial models: discrete- and continuous-time models. Financial time series models such as GARCH have played central roles in much of the financial literature, and estimation and forecasting are primary tasks in the successful implementation of these models in practice. At the same time, continuous-time models are embedded in the theory of arbitrage-free pricing theory, which produced the advent of financial mathematics. While the complexity of the models grew significantly in the two decades after the seminal work of Black and Scholes, the statistical tools to apply them were lacking for many years. This changed substantially at the beginning of the 21st century with the advent of high-frequency financial data. Since then, statistical inference of continuous-time stochastic models based on high-frequency data has been an active research area. The articles below are prime examples of the richness and beauty of the broad area of statistical methods for financial and insurance models.

Statistical Inference for Partially Observed Markov-Modulated Diffusion Risk Model

By F. Baltazar-Larios and L. J. R. Esparza.

“Bounds on Multivariate Kendall’s Tau and Spearman’s Rho for Zero-Inflated.

Continuous Variables and their Application to Insurance”.

By M. Mesfioui and J. Trufin.

“Estimation of Tempered Stable Lévy Models of Infinite Variation”.

By J. E. Figueroa-López, R. Gong and Y. Han.

Inference for the Lee-Carter Model with an AR(2) Process

By D. Li, C. Ling, Q. Liu and L. Peng.

“Second Order Asymptotics for Infinite-Time Ruin Probability in a Compound Renewal.

Risk Model”.

By Y. Yang, X. Wang and S. Chen.

On Accelerating Monte Carlo Integration Using Orthogonal Projections

By H.-W. Teng and M.-H. Kang.

4 Pricing, Valuation and Reserving

Pricing and valuation of financial derivatives on exchanges and embedded options in insurance products remain a very active area of research in actuarial science and quantitative finance. Unique characteristic of derivatives and insurance pose more complexities with the increasing diversity and sophistication of product designs. In this special issue, some adopt no arbitrage pricing framework while others take game theoretical approaches. Given the long-term nature of insurance products, reserving and liability management are also essential for insurance and pension products. These issues are also well-studied by papers in this category.

“Perpetual American Double Lookback Options on Drawdowns and Drawups with.

Floating Strikes”.

By P. Gapeev.

A Numerical Method for Hedging Bermudan Options under Model Uncertainty

By J. Imai.

Valuation of Annuity Guarantees Under a Self-Exciting Switching Jump Model

By C. G. N. Leunga and D. Hainaut.

On a Markovian Game Model for Competitive Insurance Pricing

By C. Mouminoux, C. Dutang, S. Loisel and H. Albrecher.

Manage Pension Deficit with Heterogeneous Insurance

By D.-L. Sheng, L. Shi, Y. Zhao and D. Li.

Analysis of IBNR Liabilities with Interevent Times Depending on Claim Counts

By D. J. Geiger and A. Adekpedjou.

Dynamic Bivariate Mortality Modelling

By Y. Jiao, Y. Salhi and S. Wang.

Each article in this special issue collection represents a step towards the future of the discipline that we have tried to articulate in this editorial. As our community moves beyond the COVID-19 pandemic, we hope to encourage this community to continue to produce innovative work in response to the changing landscape of applied probability.

In honor of the late Professor Joseph L. Doob, an internationally renowned probabilist, the Doob Best Paper Prize has been created for this special issue. All papers submitted to this special issue have been considered for this prize. We are very pleased to announce that the paper portfolio optimization with a guaranteed minimum maturity benefit and risk adjusted fees by A. MacKay and A. Ocejo has won the best paper prize. The runners-up for this prize include deep learning for constrained utility maximisation by A. Davey and H. Zheng, fraction-degree reference dependent stochastic dominance by J. Yang, C. Zhao, W. Chen, D. Zhou and S. Han, and dynamic bivariate mortality modeling by Y. Jiao, Y. Salhi and S. Wang. Congratulations to the authors for their excellent research work!

Last but not the least, we would like to thank Professor Joseph Glaz, the editor-in-chief of the Methodology and Computing in Applied Probability, for his generous guidance and support of this special issue. Many thanks to all the contributing authors for their originality and ingenuity. Special thanks should also go to over 100 reviewers who have offered honest, meticulous, and thoughtful reviews over the course of production for this special issue, which would have not been possible without their strong dedication and tireless services.

Data Availability

Author information, authors and affiliations.

University of Illinois at Urbana-Champaign, Champaign, USA

Runhuan Feng

Washing University in St Louis, St Louis, USA

José E. Figueroa-López

Nankai University, Tianjin, China

Université Libre de Bruxelles, Bruxelles, Belgium

Claude Lefèvre

You can also search for this author in PubMed Google Scholar

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Feng, R., Figueroa-López, J.E., Guo, J. et al. Editorial for special issue on advances in Actuarial Science and quantitative finance. Methodol Comput Appl Probab 24 , 475–479 (2022). https://doi.org/10.1007/s11009-022-09962-1

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Received : 12 May 2022

Revised : 12 May 2022

Accepted : 15 May 2022

Published : 05 June 2022

Issue Date : June 2022

DOI : https://doi.org/10.1007/s11009-022-09962-1

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The University of Connecticut’s actuarial program is a vibrant program for undergraduate, master’s students and PhD students majoring in Actuarial Science.
It is one of the leading actuarial science programs in the country and the only one of its kind in New England.
For PhD students, UConn offers a unique blend of rigorous theoretical framework with practical grounding in problems of intense emerging interest in the marketplace.

$ed_cae_color_solid backg$

Our faculty also blends academic and practical industry experience. More on our program is available on its website .
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To graduate with a PhD in Mathematics, a student must satisfy all of the following requirements:

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If you have a Master’s degree in mathematics at UConn, then 30 credits are required, including 15 doctoral dissertation research credits.
Pass at least one prelim exam after each semester for the first three semesters of their graduate study.
Finish all prelim exam requirements by the beginning of the spring semester in their second year.
Finish all core course requirements by the end of their second year of graduate study,
Choose a thesis advisor no later than the end of the fall semester of the third year.
Form your advisory committee : Major Advisor and at least two Associate Advisors or Co-Major Advisors and at least one Associate Advisor.
Meant to further the student’s education, scholarship and professional development.
Material should be in the broad area in which the student intends to write a dissertation, but should not focus on the actual thesis research. Students present and answer questions about the material they have studied.
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The BSc in Actuarial Science at LSE is a programme of study that provides an intriguing blend of statistics, mathematics, finance, and the social sciences. It's designed for students with a strong mathematics aptitude and an interest to learn from a social science perspective that embraces multifaceted interdisciplinary approaches and insights (eg, societal context and ethical dimensions).

Students will learn through an approach characterised by its academic rigour, mathematical focus, and applications to solve important problems and tackle complex challenges especially for insurance, finance, climate change, government, commerce industry, and academic research. It aims to provide students with the intellectual foundation to prepare them for further study, or for professional and managerial careers, particularly in the actuarial profession or in other areas requiring the application of quantitative skills (eg, risk analysis and management; business and investment analysis) to support informed decision-making. Finally, this is a broad-based degree programme within which students may choose to study a specialist area according to their developing interests and career plans.

Many students find and complete work experience in actuarial and financial firms with support from our department and LSE Careers. Typically, our graduates move on to high-earning careers in insurance (life and general), banking, finance, pension, consultancy, and statistics.

This programme is also available with a placement year – BSc Actuarial Science (with a Placement Year) – which can greatly enhance your career prospects and provide invaluable workplace experience. This sets you apart from other graduates in a competitive employment market.

Accredited by the Institute and Faculty of Actuaries (IFoA) for the purpose of exemption from some professional examinations
Students may obtain exemption from some professional examinations of the Chartered Institute of Management Accountants (CIMA)’s CGMA® Professional Qualification through relevant pathway.

Learn more about this programme’s accreditation and exemptions

Watch The Joy of Stats , a documentary that gives an insight into the exciting world of statistics.

For an introduction to mathematics as it's applied in economics and finance:

M Anthony and N Biggs Mathematics for Economics and Finance (Cambridge University Press, 1996)

Much of university level mathematics and statistics is concerned with formal proofs and rigorous mathematical argument and this is necessary for some of the advanced mathematics required in finance, economics and other fields of application. For an introduction, we recommend:

R Allenby Numbers and Proofs (Butterworth- Heinemann, 1997)
P Eccles An Introduction to Mathematical Reasoning (Cambridge University Press, 1997)
T Gowers Mathematics: a very short introduction (Oxford University Press, 2002)
D Hand Statistics: a very short introduction (Oxford University Press, 2008)
M Liebeck A Concise Introduction to Pure Mathematics (Chapman & Hall/CRC Mathematics, 2005)

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Here, you can check our entry requirements for GCSEs, A-levels (please read them alongside our information about subject combinations) and the International Baccalaureate (IB) Diploma. We also consider applications from students with a range of other UK qualifications and from overseas. Please select the overseas button below and choose your country from the dropdown list to find the equivalency to A-levels of your qualification.

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For GCSEs, you’ll need a strong pre-16 academic profile such as several GCSE grades of A (or 7) and A* (or 8-9).

We also ask for a good set of GCSE grades or equivalent across a broad range of subjects, with a minimum of grade B (or 6) in GCSE English and Mathematics.

A*AA, with an A* in Mathematics

Where it's offered by your school or college, AS- or A-level Further Mathematics is expected to be taken and a grade A achieved.

We also consider your AS grades, if available.

Contextual admissions A-level grades

AAA with an A in Mathematics (although we prefer A*AB with an A* in Mathematics if possible)

Read our undergraduate admissions information to learn more about contextual admissions.

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Mathematics at A-level or equivalent is required. Further Mathematics at AS level or above is highly desirable.
The programme is quantitively focused. For this reason, Physics or Chemistry provide good preparation for this degree, although these are not mandatory subjects.
Good marks for any quantitative courses at GCSE level are also desirable.

Find out more about A-level subject combinations .

38 points overall, including 766 in higher level subjects, with 7 in "Mathematics: analysis and approaches"

Contextual admissions IB grades

37 points overall, including 765 in higher level subjects, with 7 in "Mathematics: analysis and approaches"

Applicants are encouraged to take the Test of Mathematics for University Admission (TMUA) . The test is not mandatory, however a good performance on the test may make an application more competitive.

We welcome students from all walks of life at LSE. We want to recruit students with the very best academic merit, potential and motivation. So, whatever your background, please do apply. Get all the details on our general entry requirements .

Competition for places at LSE is high. We cannot guarantee you an offer of a place even if you’re predicted or achieve our standard entry requirements.

Our standard offer requirements are intended only as a guide and, in some cases, you’ll be asked for different grades.

Programme content

Why study with us.

Discover more about our students and department.

Student stories

Meet the department.

The Department of Statistics at LSE is one of the oldest and most distinguished in the UK.

The department has an international reputation for the development of statistical methodology and a long history of pioneering contributions to research and teaching. Many of the world’s most famous and innovative statisticians have been associated with LSE.

Our research spans four main areas – data science, probability in finance and insurance, social statistics and time series, and statistical learning. The department has close links with the Data Science Institute at LSE – an interdisciplinary institute that fosters the study of data science, with a particular emphasis on the social, economic and political contexts.

All aspects of our research were ranked world-leading or internationally excellent in the most recent Research Excellence Framework (2021), submitted jointly with the Department of Mathematics .

The department’s research strengths are reflected in our teaching curriculum. We have a comprehensive range of undergraduate and postgraduate degrees and doctoral research opportunities – hosted in a vibrant department with a supportive and friendly community of staff and students.

Our alumni enjoy successful careers in diverse areas, such as banking, accounting, finance, statistics, government and business consulting while others pursue postgraduate study or research. Our alumni frequently return to LSE to share their career experiences with current students.

Learn more about our programmes and research .

Department of Statistics

2nd In Europe

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1st We're ranked top university in London for the 12th year running

Carbon neutral in 2021 lse became the first carbon neutral verified university in the uk, your application, who attends.

We consider each application carefully, taking into account all the details you’ve included on your UCAS form, such as:

academic achievement , including predicted and achieved grades (also see specific information about this programme in the "entry requirements" above)
subjects and subject combinations (also see specific information about this programme in the "entry requirements" above)
your personal statement
your teacher’s reference
educational circumstances

You may also have to provide evidence of your English proficiency, although this is not needed at the application stage. See our English language requirements page .

We’re looking for students who demonstrate:

outstanding mathematical abilities
an interest in actuarial science
involvement in related extra-curricular activities, such as mathematics competitions or Olympiads
independent thinking
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creativity and flexibility in problem-solving
self-motivation and a willingness to work hard
great communication skills.

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The table of fees shows the latest tuition fees for all programmes.

You're charged a fee for each year of your programme. Your tuition fee covers registration and examination fees payable to the School, lectures, classes and individual supervision, lectures given at other colleges under intercollegiate arrangements and, under current arrangements, membership of the Students' Union. It doesn't cover living costs or travel or fieldwork.

Your tuition fees, and eligibility for any financial support, depend on whether you’re classified as a home or an overseas student – known as your fee status. We assess your fee status based on guidelines from the UK Government’s Department for Education.

Learn more about fee status classification .

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We recognise that the cost of living in London may be higher than in your home town or country. LSE provides generous financial support, in the form of bursaries and scholarships, to UK, EU and overseas students.

Additionally, the UK Government provides loans to UK and some EU students. Some overseas governments also offer funding.

Further information on tuition fees, living costs, loans and scholarships .

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How you learn, how you're assessed.

Format and contact hours: you’ll usually attend lectures and related classes, seminars or workshops for 10 to 15 hours per week. Hours vary depending on the course. Get a broad idea of the study time involved in the Calendar within the Teaching section of each course guide .

Independent study: y ou’ll be expected to complete independent study and manage your time effectively. Typically, this will include research, reading and note-taking.

LSE teaching: our School is internationally recognised for teaching and research and you’ll learn from academics with a wide range of experience and knowledge. Courses may be taught by our academic staff, guest teachers, visiting members of staff, LSE teaching fellows and graduate teaching assistants, who are usually doctoral research students.

Learn about the teacher responsible for each course in the relevant course guide .

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Academic mentor: you’ll meet with your academic mentor regularly to discuss your work. Your mentor can provide advice and guidance on academic issues and, where appropriate, personal concerns.

Other academic support: at LSE, we offer lots of opportunities to extend your learning outside the classroom.

LSE LIFE is a great place to get advice and practise the skills you’ll need during your studies and beyond.

Through LSE LIFE, you can:

attend workshops on developing leadership skills, finding the right study/work/life balance and preparing for the world of work
develop your reading, academic writing and critical-thinking skills
gain experience of working in study groups and develop your cross-cultural communication and teamwork skills.

Disability and Mental Health Service: we want all LSE students to achieve their full potential. Students can access free, confidential advice through our Disability and Mental Health Service . This is the first point of contact for students.

Your timetable

The standard teaching day runs from 9am to 6pm, Monday to Friday. Undergraduate teaching is not normally scheduled for Wednesdays after 12 noon to allow for sports, volunteering and other extra-curricular activities.
The lecture and seminar timetable is published in mid-August and the full academic timetable (with information on classes) is published by mid-September via the LSE timetables web pages .
All personal undergraduate timetables are published in LSE for You (LFY) . For personal timetables to appear, you must be registered at LSE, be signed up for courses in LFY and ensured that there are no unauthorised clashes in your course selections. We try our best to minimise changes once personal timetables have been published. However, you’ll be notified about any changes by email.

Formative coursework

All taught courses include formative coursework, which is not assessed. This helps prepare you for summative assessment. We use a wide range of formative assessment methods, such as essays, case studies, reports, quizzes and mock exams.

Feedback on coursework is an essential part of the learning experience. Class teachers mark formative coursework and feedback is normally given within two weeks – provided the work is submitted on time.

Summative assessment

This assessment counts towards your final course mark and degree award.

Summative assessment for most courses is by a three-hour examination in June. A small number of courses are assessed by project work. Your degree award will be based on assessment over all three years, with an emphasis on the second and third years.

You’ll receive feedback on any summative coursework as part of the assessment for individual courses (except for final submitted dissertations). Feedback will normally be provided before the examination period.

Assessment on individual courses can change from year to year. See details of the current formative coursework and summative assessment for each course in the relevant course guide .

Find out more about LSE’s teaching and assessment methods .

Graduate destinations

Career support.

Graduates from the programme will be able to work on a range of financial services organisations from companies which operate in the life and general insurance sector through to accounting firms, specialist actuarial consultancies, investment banks , data analytics, statistics, civil service and graduate studies.

Further information on graduate destinations for this programme

Median salary of our undergraduate students 15 months after graduating:

Top 4 sectors our students work in:.

From CV workshops through to careers fairs, LSE offers lots of information and support to help you make that all-important step from education into work.

Many of the UK’s top employers give careers presentations at the School during the year and there are numerous workshops covering topics such as job hunting, managing interviews, writing a cover letter and using LinkedIn.

See LSE Careers for further details.

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Every undergraduate programme of more than one year duration will have Discover Uni data. The data allows you to compare information about individual programmes at different higher education institutions.

Programmes offered by different institutions with similar names can vary quite significantly. We recommend researching the programmes you're interested in and taking into account the programme structure, teaching and assessment methods, and support services available.

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Natural & Applied Sciences

Actuarial Science

Actuarial science research papers/topics, the actuarial conditions for the valuation of pension liability to become zero under minimum funding standard architecture.

Abstract Pension valuation exercises for a defined benefit scheme requires an appraisal of both the schemes assets and its liabilities in different circumstances. The valuations are required to comply with regulatory standards, most notably the minimum funding standard. The objectives of this study are: (i) to compute the estimate of minimum funding standard of pension liability (ii) to establish the actuari...

A Mathematical Technique of Computing Technical Provisions and Premiums in General Business Insurance Under the Influence of Chain-Ladder and Cape Cod Framework

ABSTRACT An insurance company promises its policyholders to pay out benefits if certain events occur, for example, events such as a car accident and health conditions. When this is happens, the insurance company has a liability to pay the claims by technical provisions or claim reserving. The calculation of claim reserving must be done carefully in such a way that it should not cause loss to the company. Two of the common methods to calculate technical provisions in non-life insurance are the...

Neuroprotective Potential of Lantana Trifolium Ethanolic Extract Against Ethambutol Induced Changes in the Optic Nerve

ABSTRACT Introduction: Ethambutol (EMB) has been discovered as an anti-tuberculosis drug since 1960, and is now very important in treatment of multidrug resistant tuberculosis which is on a rise due to emergence of Human Immunodeficiency Virus. However, EMB has been associated with severe side effects including optic neuropathy with no preventive and treatment measures. Purpose: To establish the protective potential of Lantana trifolium ethanolic extract against EMB induced optic nerve change...

A Framework For Adoption Of Use Of Interactive White Board System In Distance Learning At Universities: The Case Study Of Kampala International University

Table of ContentsDeclaration iApproval iiAcknowledgements iiiTable of Contents ivList of Tables viiList of Figures viiiList of Abbreviations ixDefinition of Terms xAbstract xiCHAPTER ONE 1INTRODUCTION 11.0 Introduction 11.1 Background of the Study 11.2 Problem of Statement 11.3 Purpose of the study 21.4 Objectives of the study 21.4.1 General Objectives 21.4.2 Specific Objectives 21.5 Research Questions 21.6 Scope of the study 21.7 Significance of the Study 31.8 Conceptual framework 3CHAPTER T...

Stochastic Modeling of Stock Prices On the Ghana Stock Exchange

ABSTRACT Financial models today rely on assumptions that make them insufficient in many real cases. The Geometric Brownian Motion model is assumed as a process for stock prices frequently. The study examined whether the behavior of weekly and monthly returns series of some selected equities listed on the Ghana Stock Exchange can be modeled with the Geometric Brownian Motion(GBM). The Augmented Dickey Fuller, Shapiro-Wilk, Ljung-box and some graphical methods are some statistical methods used...

Estimating Insurance Loss Distributions in General Insurance Contracts: A Case Study in Ghana

Insurance loss modeling concerns the prediction of future claims from policyholders in different risk classes based on past observations of claims made by the policyholders in these classes.It is a fundamental branch of Actuarial science and one of the cornerstones in general insurance contracts.Loss modeling and its variations have been widely studied by researchers in actuarial science and successfully applied by practisioners. Perhaps one of the most well-known theories along this line is ...

Speciation Of Cadmium And Lead In Soils From Open-Air Motor Vehicle Workshop In Nairobi And Levels In Nearby Vegetables And Stream

ABSTRACT The presence of toxic metals such as lead and Cadmium in the environment has been a source of worry to environmentalists, government agencies and health practitioners. This is mainly due to their health implications since they are non-essential metals. Heavy metals are associated with various soil components in various ways and the various associations can determine the reactivity, mobility and bioavailability of the metals. The primary objective of the present study was to determine...

Distorted Wave Method Applied To Elastic Scattering Of Electrons By Magnesium Atom

Abstract Knowledge of differential and integral cross sections for electron-atom or electron-ion collision is very important in the study of astrophysics, plasma physics and laser development. So it is essential to make studies of differential and integral cross sections for electron atom collision either experimentally or theoretically. In this study the Distorted Wave Method has been applied to calculate the differential and integral cross sections for elastic scattering of electrons by a m...

In Vitro Response Of Phomopsis Theae To The Products Of Azadirachta Indica And Extracts Of Warburgia Ugandensis

ABSTRACT Tea is one of the major cash crops in Kenya and a means of livelihood to people living around the region where it is grown. Branch and collar canker disease is among the many diseases which affect the crop hence reducing its production. Methods used to control the disease mainly involve the use of chemical fungicides which are toxic and not environmentally friendly. This study was therefore done to determine the use of plant products and extracts to manage the disease. Among the prod...

Application Of Auxiliary Variables In Two-Step Semi-Parametric Multiple Imputation Procedure In The Estimation Of Population Mean

ABSTRACT Multiple imputation procedure is used in handling of item non-response. The imputation procedure is affected by model misspecification and leads to loss in efficiency and biased results. The inclusion of auxiliary variables in the sampling design helps to avoid sensitivity of inference to model misspecification and improves the precision of estimate of population mean. The main aim of this study was to incorporate auxiliary variables in the Multiple Imputation to improve the accurac...

Analysis Of Amaranthus Oil From Selected Agro-Ecological Zones In Kenya

ABSTRACT Amaranthus is a pseudocereal that has its origin in Mexico, South America. It is commonly known as ‘terere’ in Kenya and is mostly used as leaf vegetable. It is fast gaining interest in Kenyan population as a grain due to its ability to adapt to different environments thus can be grown in semi-arid areas, its fast maturity time of 45-75 days, its high economic value and its vital nutrient composition. Amaranth is found to flourish in hot and dry climates where other cereals are d...

On-Host Behavioural Interactions Between Adult Rhipicephalus Appendiculatus And Characterisation Of The Mediating Pheromones

ABSTRACT Rhipicephalus appendiculatus (Brown Ear tick) is an efficient vector of Theileria parva the aetiological agent of East Coast fever (ECF) in cattle. Currently, ECF threatens about 28 million cattle in eastern, central and southern Africa. Control of this tick has largely depended on synthetic acaricides. The use of these chemicals for tick control has however, been compromised by increased cases of tick resistance, high cost of the acaricides and concerns over environmental pollution ...

Projecting fertility by educational attainment: Proof of concept of a new approach.

ABSTRACT The United Nations Population Division publishes fertility projections for all countries in the World Population Prospects (WPP). These are the most widely used projections for planning and policy implementation. Despite a substantial body of literature that suggests education has a significant impact on fertility, these projections do not incorporate changes in the composition of the population by level of education. We therefore propose and implement a method that incorporates edu...

Variation in diet of the West coast rock lobster (Jasus lalandil): influence of rock-lobster sex, size and food environment.·

Abstract Few studies of rock-lobster diet have included analyses of mature females or juveniles of either sex. This study focused on the diet of male and female West Coast rock lobsters (Jasus lalandil) in three size classes (viz.: 10 - 35 mm CL (carapace length) - small, 40 - 59 mm CL - medium and 70 - 85 mm CL - large), using visual analyses of stomach contents. The principle aims were to examine potential differences in diet between: (1) male and female rock lobsters; (2) changes in diet ...

Application Of Discrete And Continous Time Models In Valuation Of Credit Insurance For Asset-Based Lending Companies

ABSTRACT Asset-based lending companies and other loan providers are exposed to risk of loan defaults by borrowers. To reduce this risk, these companies acquire credit insurance. Thus when the borrower defaults in payment, the insurance company covers a percentage of the outstanding balance which generates a way to lessen and spread credit risk that the lender incurs. Therefore there are a number of methods put in place such as frequency-serverity and hazard rate models used to value credit in...

Actuarial science is a discipline that assesses financial risks in the insurance, finance and other fields and professions, using mathematical and statistical methods. Actuarial science applies mathematical skills to the social sciences to solve important problems for insurance, government, commerce, industry and academic researchers. Afribary provides list of academic papers and project topics in Actuarial science. You can browse Actuarial science project topics, Actuarial science thesis topics, Actuarial science dissertation topics, Actuarial science seminar topics, Actuarial science essays/papers, Actuarial science text books and lesson notes in Actuarial science field.

Popular Papers/Topics

Investment of pension funds in nigerian bond market, assessing the awareness level of actuarial science among staff and students of nigerian universities: a study of university of jos., portfolio optimization of small enterprises against adverse changes in interest rate, effects of firm specific factors on non-life insurance companies’ profitability in uganda; a case study of uganda insurance market, on mathematical models for pension fund optimal selection strategies, a review of mortality differential, performance measurement of probability distributions in modelling non-life insurance claims, modelling asset returns in a portfolio using ornstein-uhlenbeck stochastic proce, forecasting mortality rate and modelling longevity risk of ssnif pensioners, a stochastic analysis of investment prospects in west africa: a case of ghana and nigeria, assessing the impact of risk based insurance supervision methodology on non-life insurance companies in ghana, effects of dependent claims on the probability of ruins, the time to ruin given ruin occurs.

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80 Actuarial Science Research Topics
80 Actuarial Science Research Topics. If you're an aspiring scholar seeking captivating research avenues in Actuarial Science, you've arrived at the right destination. This blog post serves as a treasure trove of intriguing actuarial science research topics tailored for your thesis or dissertation at the undergraduate, masters, or doctoral ...
PDF Undergraduate Research in Actuarial Science and Financial Mathematics
Abstract. A program of undergraduate research in actuarial science and financial mathematics has been implemented at the University of Illinois over the last two years. This program has included two National Science Foundation-sponsored Research Experiences for Undergraduates (in Summer 2007 and Summer 2009) on the topic "Stochastic Modeling ...
Research Topics
The SOA develops, sponsors and publishes research on a variety of topics, including retirement, pensions, mortality, risk management, LTC, health and finance.
Statistics and Actuarial Sciences Theses and Dissertations
This collection contains theses and dissertations from the Department of Statistics and Actuarial Sciences, collected from the Scholarship@Western Electronic Thesis and Dissertation Repository. ... Statistical Methods with a Focus on Joint Outcome Modeling and on Methods for Fire Science, Da Zhong Xi. PDF. Ranking comments: ...
Actuarial Science Studies Research Project Topics in Actuarial Science
Many actuarial science researchers on stochastic modeling and forecasting of systematic mortality risk use Cairns-Blake-Dowd (CBD) Model (2006) due to its ability to consider the cohort effects.
Theses and Dissertations (Actuarial Science)
Improving our understanding of the equal weighted portfolio. Taljaard, Byran H. (University of Pretoria, 2022) This thesis analyses the performance of the equal weighted portfolio using an approach from stochastic portfolio theory. This framework allows for the decomposition of the relative performance of the equal weighted portfolio ...
Research projects
The Actuarial Research Centre (ARC) funded Longevity and Morbidity Risk (LMR) programme was led by Principal Investigator Professor Andrew Cairns of Heriot-Watt University and co-sponsored by the Society of Actuaries (SoA) and the Canadian Institute of Actuaries (CIA). Mortality linked derivatives and their pricing.
Statistics and Actuarial Science
2019-1. Chuyuan (Cherlane) Lin. MSc. Unsupervised Learning on Functional Data with an Application on the Analysis of U.S. Temperature Prediction Accuracy. J.Cao. 2018-3. Lasantha Premarathna. PhD. Partial Stratification in Capture-Recapture Experiments and Integrated Population Modeling with Radio Telemetry.
1468 PDFs
Actuarial science is a discipline that assesses financial risks in the field of insurance and finance using mathematical and statistical methods. Actuaries are creative, curious and adaptable ...
Mathematics and Actuarial Science Honors Theses
Home > UGSCHOLARSHIP > UNDERGRAD_HONORS_THESIS_COLLECTION > MATHEMATICS_UGTHESES. Mathematics and Actuarial Science Honors Theses . Follow. Theses/Dissertations from 2023 PDF. Special Cases in Estimating Multiple Missing Values in Linear Models, Aaron Christopher Marshall. PDF.
Quantitative topics in portfolio and risk management
Thesis (PhD)--University of Pretoria, 2019. Insurance and Actuarial Science. PhD. Unrestricted. Quantitative topics in portfolio and risk management. Login. ... (Actuarial Science) 15; Theses and Dissertations (University of Pretoria) 20849; Search UPSpace. Search UPSpace This Collection. Browse.
Actuarial Science Studies Research Project Topics in Actuarial Science
Many actuarial Science Students in Kenya often struggle to find research topics whenever they want to do their researches in the Universities. This Paper should give you an Overview of some of the best topics to choose when doing research at the end ... Actuarial Science Studies Research Project Topics in Actuarial Science for Kenyan Students 1 ...
Undergraduate Students
Undergraduate Students. In addition to meeting the requirements of the University, in General Education and in the major, in order to qualify for graduation students must: Sit for at least one of the Society of Actuaries' examinations before graduation. Prepare and present a senior thesis on an insurance/actuarial science-related topic that ...
Actuarial Science dissertations
Actuarial Science dissertations. Analysis of causes of death in England and Wales for the period 1976-2000 and mortality forecasts for 2030 (Nikos A. Lambrou, March 2003) Investment and longevity risks in annuity business: a comparative analysis of alternative annuity types for turkish market (Burak Sayin, August 2003) ...
Editorial for special issue on advances in Actuarial Science and
This article provides an overview of all papers published on the special issue, Advances in Actuarial Science and Quantitative Finance. The special issue is intended to collect articles that reflect the latest development and emerging topics in these closely related two areas. Topics included in this special issue range from actuarial and risk theory, to optimal control for finance and ...
Actuarial Science Undergraduate Thesis Topics
Actuarial Science Undergraduate Thesis Topics - Free download as PDF File (.pdf), Text File (.txt) or read online for free.
Actuarial Science Undergraduate Research Project Topics and Materials
ACTUARIAL SCIENCE Free Undergraduate Project Topics And Research Materials, Free Undergraduate Project Topics, Research Materials, Education project topics, Economics project topics, computer science project topics, Hire a data analyst ... UNDERGRADUATE PROJECT TOPICS; MBA-MSC-PGD THESIS R... FAQ; Contact Us; Call Us Today: 09159097300 ...
Actuarial Science Project Topics and Materials
Actuarial Science project topics and materials for undergraduate and post graduate students. Research project paper, seminar topics, proposals, titles, ideas and materials are available for dissertation, thesis and essay in Actuarial Science department. Find below the list of research project topics for Bsc, Msc and Phd Actuarial Science students.
Graduate Theses
Below is a list of the theses produced by graduate students in the Department of Statistics and Actuarial Science. 2023-3 Payman Nickchi Ph.D Linkage fine-mapping on sequences from case-control studies and Goodness-of-fit tests based on empirical distribution function for general likelihood model R ...
Ph.D. in Mathematics with Thesis in Actuarial Science
The Janet and Mark L. Goldenson Research Center for Actuarial Science provides a unique window into emerging problems in actuarial practice and the opportunity both for joint work with practitioners and for identifying pragmatically focused PhD dissertation topics. Our faculty also blends academic and practical industry experience.
BSc Actuarial Science
Introduction. The BSc in Actuarial Science at LSE is a programme of study that provides an intriguing blend of statistics, mathematics, finance, and the social sciences. It's designed for students with a strong mathematics aptitude and an interest to learn from a social science perspective that embraces multifaceted interdisciplinary approaches ...
Recent PhD Theses
Thesis. Panahi, Mahsa. (Steiner, S.) Statistical Methods in the Search for a Dominant Cause of Variation. Mussavi Rizi, Marzieh. (Dubin, J.) Dynamic Treatment Regimes and Interference in Dyadic Networks: A Joint Optimization Approach. Yin, Mingren.
Actuarial Science Books and Book Reviews
Estimating Insurance Loss Distributions in General Insurance Contracts: A Case Study in Ghana. Insurance loss modeling concerns the prediction of future claims from policyholders in different risk classes based on past observations of claims made by the policyholders in these classes.It is a fundamental branch of Actuarial science and one of the cornerstones in general insurance contracts.Loss ...

80 Actuarial Science Research Topics

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Actuarial Science Studies Research Project Topics in Actuarial Science for Kenyan Students 1. Modeling of Market Risk in Kenya for Life Insurers 2. Modeling the Impact of Cash Flow Management on The Insurance Industry (A Case

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Editorial for special issue on advances in Actuarial Science and quantitative finance

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1 Actuarial and Risk Theory

2 Optimization and Control in Finance and Insurance

3 Statistical Inferences for Financial and Insurance Models

4 Pricing, Valuation and Reserving

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