dissertation topics in actuarial science

Theses and Dissertations (Actuarial Science)

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• Time-varying volatility models and indices : a GARCH option pricing approach  Venter, Pierre Johan ( University of Pretoria , 2022 ) In this thesis, the generalised autoregressive conditional heteroskedasticity (GARCH) option pricing model is applied to illiquid markets, volatility indices and in a modern derivative pricing framework. Chapter 2 provides ...
• Modelling of financial risk using forward-looking distributions derived from contingent claims  Van Appel, Vaughan ( University of Pretoria , 2022 ) In this thesis, we investigate several methods for extracting the forecast distribution from historical asset returns and market-quoted option prices. Typically, risk-neutral distributions, extracted from market quoted ...
• 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 ...
• The effect of observation errors on parameter estimates applied to seismic hazard and insurance risk modelling  Pretorius, Samantha ( University of Pretoria , 2014-04-30 ) The research attempts to resolve which method of estimation is the most consistent for the parameters of the earthquake model, and how these different methods of estimation, as well as other changes, in the earthquake model ...
• Investigating the threshold of event detection with application to earthquake and operational risk theory  De Witt, Corn e Juan ( University of Pretoria , 2013 ) This study provides systematic analysis of points of structural change in probability distributions. In observed frequency data of earthquakes, such a threshold exists due to the non-detection of events below a certain ...
• Artificial neural networks and their application to modelling South African market returns  Smith, Matthew Lee ( University of Pretoria , 2014 ) The modelling technique known as Artificial Neural Networks (ANNs) is investigated. ANNs have the ability to detect and project non-linear relationships between variables. Further, they can adapt in dynamically changing ...
• Top-down stress testing of the largest full service South African banks  Conradie, Dirk Cornelis Uys ( University of Pretoria , 2020 ) Banks are key to a well-functioning economy. Periods of economic stress could put banks and therefore the financial system at risk so regulators such as the Prudential Authority in South Africa need to know if banks are ...
• Modelling South African social unrest between 1997 and 2016  Smart, Sally-Anne ( University of Pretoria , 2019 ) Social unrest, terrorism and other forms of political violence events are highly unpredictable. These events are driven by human intent and intelligence, both of which are extremely difficult to model accurately. This has ...
• Quantitative topics in portfolio and risk management  Flint, Emlyn James ( University of Pretoria , 2019 ) The modern quantitative portfolio manager is the quintessential “jack of all trades”. Not only do they need to be an expert in the specific area of portfolio management, they also need to have a thorough understanding of ...
• An analysis of the determinants of sovereign credit ratings  Yang, Jack Chao ( University of Pretoria , 2018 ) The study aims to quantitatively assess the extent to which sovereign ratings could be explained by a set of economic variables. A wide variety of factors could potentially bias a credit rating agency’s decision. The ...
• Network structure indirect losses and financial contagion in inhomogeneous stochastic interbank networks  Walters, Nadine Mari ( University of Pretoria , 2019 ) We introduce new tiered bank network structures, allowing for many di erent bank sizes, and compare risk propagation in these structures with the well-known Erd˝os-R´enyi, assortative and disassortative structures. The ...
• Hattendorff’s theorem and Thiele’s differential equation generalized  Messerschmidt, Reinhardt ( University of Pretoria , 2007-02-20 ) Hattendorff's theorem on the zero means and uncorrelatedness of losses in disjoint time periods on a life insurance policy is derived for payment streams, discount functions and time periods that are all stochastic. Thiele's ...
• Risk evaluation techniques in a general insurance environment  Van den Heever, Rudolf Johannes ( University of Pretoria , 2005-11-01 ) Please read the abstract in the section 00front of this document
• Die wanbetaling van lewensversekering : ‘n analise van die redes, die gevolge vir die versekeraar, kliënt, bemarker en remediërende optrede (Afrikaans)  Van der Walt, Phillipus Jacobus ( University of Pretoria , 2011-04-07 ) AFRIKAANS: Die lewensversekeringsbedryf in Suid-Arrika is ‘n groot mobi1iseerder van langtermyn diskresionêre kapitaal en verleen beskerming teen finansiële ver1iese wat weens die intrede van persoonlike risiko’s voorkom. ...
• A framework for modelling losses arising from natural catastrophes in South Africa  Grobler, Roger R. ( University of Pretoria , 2003-05-15 ) Property insurance covers policyholders against losses arising out of a wide range of occurrences. Premiums are calculated by taking into account estimates of the frequency and the severity of the losses. Estimating the ...

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COLLEGE OF LIBERAL ARTS AND SCIENCES

Department of Mathematics

• Ph.D. in Mathematics with Thesis in Actuarial Science
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• Ph.D. in Mathematics
• M.S. in Mathematics
• M.S. in Actuarial Science
• M.S. in Applied Financial Mathematics
• M.S. in Applied Financial Mathematics – Actuarial Science
• Course Schedule
• Preliminary Exams

Introduction

• 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.

• Our faculty also blends academic and practical industry experience. More on our program is available on its website .
• While emphasizing research that will benefit practicing actuaries, the PhD program prepares for an academic career in research and teaching.   It is not intended to prepare students to become practicing actuaries. Those intending a career in actuarial practice should pursue the M.S degree.

Overview of Graduation Requirements

To graduate with a PhD in Mathematics, a student must satisfy all of the following requirements:

• 45 credits, including 15 doctoral dissertation research credits/GRAD 6950
• 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.
• The exam is normally taken at the end of the third year or beginning of the fourth year.
• Submit Dissertation Proposal
• Submit Plan of Study
• Apply for Graduation in Student Admin by the fourth week of the final semester.
• Dissertation Specifications under Dissertation Information
• Thesis templates (for LaTex) are available on our Thesis Formatting page
• Submit Approval Page – Step 7
• Complete Survey of Earned Doctorates – Step 7
• Add Diploma Address in Student Admin and Diploma Info.

Preliminary Examination and Core Course Requirements

Actuarial Science:

• Math 5160/Probability Theory and Stochastic Processes I
• Math 5639/Actuarial Loss Models
• Math 5111/Measure and Integration
• Math 5120/Complex Function Theory
• Math 5210/Abstract Algebra
• Math 5310/Introduction to Geometry and Topology I
• Math 5410/Introduction to Applied Mathematics I
• Math 5510/Numerical Analysis and Approximation Theory I
• Math 5161/Probability Theory and Stochastic Processes II
• Math 5210/Abstract Algebra I
• Math 5211/Abstract Algebra II
• Math 5360/Differential Geometry
• Math 5440/Partial Differential Equations
• Math 5520/Finite Element Solution Methods I

Past Prelim Exams

Home > FACULTIES > Statistical and Actuarial Sciences > STATS-ETD

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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You are here, ifoa research programme typically comprises over 100 initiatives at any one time..

A full list of current IFoA research working parties can be found here.

The IFoA supports and sponsors research through member-led working parties in various practice areas and through commissioned external research such as that undertaken in universities. By supporting new research, we continue to further actuarial science and aim to provide members with cutting edge knowledge attuned to the realities of their working lives. This listing contains all IFoA research.

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Statistics and Actuarial Science

Graduate theses.

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Below is a list of the theses produced by graduate students in the Department of Statistics and Actuarial Science.

Projects and Theses From Previous Years

2015 - 2019 2010 - 2014 2005 - 2009 2000 - 2004 1990's 1980's and prior

Recent PhD Theses

Additional theses can be found on UWSpace . 

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Topic Ideas on Actuarial science

Below is a list of topic ideas on actuarial science that can be used for writing speech, essays , presentation, paragraph, research paper, thesis and dissertation.

• The history and development of actuarial science
• The role of actuaries in the insurance industry
• Actuarial modeling and risk analysis
• Actuarial science and financial management
• Health care cost forecasting and actuarial methods
• Actuarial analysis in pension and retirement planning
• Actuarial methods for analyzing environmental risks
• Applications of actuarial science in banking and finance
• Risk management and actuarial science in the energy industry
• Actuarial methods for analyzing credit and market risks
• Insurance pricing and rate-making in actuarial science
• The use of statistical methods in actuarial science
• Actuarial science and natural disasters
• Fraud detection and prevention in actuarial science
• Actuarial analysis of cyber risks
• Actuarial methods for analyzing mortality and longevity risks
• The use of big data in actuarial science
• Actuarial science and the economics of climate change
• The use of machine learning in actuarial science
• Actuarial analysis of pandemics and other health risks
• The role of actuaries in risk communication and management
• Actuarial methods for analyzing operational risks
• The use of simulation techniques in actuarial science
• Actuarial science and the regulation of financial markets
• The role of actuaries in social security and public policy
• Actuarial methods for analyzing cyber security risks
• Actuarial analysis of sovereign risks and country risk assessment
• The use of behavioral economics in actuarial science
• Actuarial science and the globalization of risk
• Emerging trends and challenges in actuarial science.

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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., latest projects, studies on some aspects of anthracnose-blight-dieback complex of cultivars of grapevines (vitis spp.) in..., genetic variability studies of twenty potato genotypes, relationship of haemoglobin and potassium polymorphism with conformation, milk production and blood biochemical profiles..., adoption of agricultural innovations among members and non-members of women co-operative societies in oju..., small farmer credit with particular reference to nigeria, research department.

• ACCOUNTING PROJECT TOPICS AND MATERIALS 3553
• EDUCATION PROJECT TOPICS AND MATERIALS 3486
• ENGLISH AND LINGUISTIC PROJECT TOPICS AND MATERIALS 2939
• COMPUTER SCIENCE PROJECT TOPICS AND MATERIALS FINAL YEAR 1274
• BANKING AND FINANCE PROJECT TOPICS AND MATERIALS 1250
• BUSINESS ADMINISTRATION PROJECT TOPICS AND MATERIALS 1236
• EDUCATION FOUNDATION GUIDANCE AND COUNSELLING TOPICS AND MATERIALS 1045
• ZOOLOGY PROJECT TOPICS AND MATERIALS 1002
• MASS COMMUNICATION PROJECT TOPICS AND MATERIALS 1001
• ANIMAL SCIENCE PROJECT TOPICS AND MATERIALS 978
• LAW PROJECT TOPICS AND MATERIALS 896
• ARTS EDUCATION PROJECT TOPICS AND MATERIALS 845
• MARKETING PROJECT TOPICS AND MATERIALS 690
• AGRICULTURAL EXTENSION PROJECT TOPICS AND MATERIALS 676
• PUBLIC ADMINISTRATION PROJECT TOPICS AND MATERIALS 654
• POLITICAL SCIENCE PROJECT TOPICS AND MATERIALS 565
• ECONOMICS PROJECT TOPICS AND MATERIALS 457
• AGRICULTURAL SCIENCE PROJECT TOPICS AND MATERIALS 449
• LIBRARY SCIENCE PROJECT TOPICS AND MATERIALS 444

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Search for dissertations about: "Actuarial science"

Showing result 1 - 5 of 6 swedish dissertations containing the words Actuarial science .

1. Essays on Pensions and Information

Author : Dan Anderberg ; Nationalekonomiska institutionen ; [] Keywords : SAMHÄLLSVETENSKAP ; SOCIAL SCIENCES ; Education Policies ; Time-consistency ; Education Incentives ; Cross-subsidies ; Redistribution ; Moral Hazard ; Disability Insurance ; Public Pensions ; Voting ; Assets ; Adverse selection ; Private pension markets ; Actuarial science ; Försäkring ej försäkringsrätt S137 ;

Abstract : The first essay examines the outcome in a competitive private pension market characterised by adverse selection. In addition to using the private pension market, the consumers can save in a bequeathable asset. READ MORE

2. An Institutional Analysis of Insurance Regulation - The Case of Sweden

Author : P Göran T Hägg ; Nationalekonomiska institutionen ; [] Keywords : SAMHÄLLSVETENSKAP ; SOCIAL SCIENCES ; Misguided Trust ; Prime Move Problem ; Trust-sensitive Contracts ; The Economics of Trust ; The Special Interest Theory ; The Public Interest Theory ; Transaction Costs ; Institutional Theory ; Insurance Regulation ; Institutions ; Reputation ; Quality. ; Actuarial science ; Försäkring ej försäkringsrätt S137 ;

Abstract : The thesis is a broad attempt to analyse economic forces behind, and economic rationales for, institutions that constrain the organisation and operation of insurance companies. The basic task is threefold: (i) to develop institutional theory by providing an outline of a transaction cost explanation of the origin of, and the rationale for, institutions that constrain the organisation and the operation of insurance organisations; (ii) to apply our institutional theory and explain recorded institutional structures in order to make them intelligible with respect to the contractual context in which they have been nested; and (iii) to appraise the explanatory power of our institutional theory with respect to conventional economic theories on the economics of public regulation. READ MORE

3. Topics in Human Gene Mapping

Author : Azra Kurbasic ; Matematisk statistik ; [] Keywords : NATURVETENSKAP ; NATURAL SCIENCES ; actuarial mathematics ; Statistik ; programming ; Statistics ; Mathematics ; Naturvetenskap ; Natural science ; hidden Markov model ; linkage analysis ; Human genome ; disease gene ; programmering ; aktuariematematik ; operationsanalys ; operations research ; Matematik ;

Abstract : This thesis is interdisciplinary between Mathematical Statistics, Genetics, and Medicine. It mainly consists of topics in mathematical modelling of the correlation of inheritance of genes and disease in a family, a method called linkage analysis. It is organized as follows. READ MORE

4. Two-Barrier Problems in Applied Probability: Algorithms and Analysis

Author : Mats Pihlsgård ; Matematisk statistik ; [] Keywords : NATURVETENSKAP ; NATURAL SCIENCES ; Statistics ; operations research ; programming ; actuarial mathematics ; Statistik ; Matematik ; Mathematics ; Naturvetenskap ; Natural science ; Reflection ; Stochastic processes ; Applied probability ; Queueing ; operationsanalys ; programmering ; aktuariematematik ;

Abstract : This thesis consists of five papers (A-E). In Paper A, we study transient properties of the queue length process in various queueing settings. We focus on computing the mean and the Laplace transform of the time required for the queue length starting at $x0. We define the loss rate due to the reflection. READ MORE

5. Condition-dependence in life history evolution

Author : Foteini Spagopoulou ; Alexei Maklakov ; Lars Gustafsson ; Russell Bonduriansky ; Pat Monaghan ; Uppsala universitet ; [] Keywords : NATURVETENSKAP ; NATURAL SCIENCES ; Ageing ; senescence ; nongenetic inheritance ; sex differences ; condition-dependence ; life history ; trade-off ; Ficedula albicollis ; Caenorhabditis remanei ; Telostylinus angusticollis ; Biologi med inriktning mot zooekologi ; Biology with specialization in Animal Ecology ;

Abstract : Ageing is the progressive physiological deterioration that appears with increasing age and eventually leads to a decline in survival and reproduction. This physiological process is omnipresent across the tree of life, but the expected trajectory can widely vary between and within species. READ MORE

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Actuarial Science

Actuarial science research papers/topics, statistical approach to prediction of financial distress of listed firms in the nairobi securties exchange.

ABSTRACT This research project examined the phenomenon of bankruptcy prediction from a developing economy perspective using the Altman Z-score models. These models rank among the bankruptcy models, whose main purpose is to detect the impending bankruptcy in good time. Drawing an empirical data from audited financial statements of firms listed in Nairobi Security Exchange in Kenya, the author tested Altman original Z-score (1968)and the Emerging Markets (1993) models using the dataset of the y...

Marshall–Olkin Power Lomax Distribution For Modeling Of Wind Speed Data

Accurate collection of wind speed records is significant for numerous wind power applications. The present investigation aims to highlight the use of the Marshall–Olkin Power Lomax (MOPLx) distribution for wind speed data. We examine the actual wind speed records gathered from three stations Bahawalpur, Gwadar, and Haripur. The dataset is demonstrated by using MOPLx distribution and compare its modeling performance with renowned probability distributions, for example, Weibull– Lomax, powe...

The Influence Of Microeconomic Variables On Stock Prices Of Companies Listed On Ghana Stock Exchange

ABSTRACT This study examines the long-run equilibrium relationship and the direction of causality between stock prices at Ghana Stock Exchange (GSE) and a set of five stock market oriented factors technically can be defined as microeconomic variables. The study employs time series data comprising of the stock prices of listed companies for the period spanning from April 1998 to April, 2013 and key microeconomic variables, benchmarks of corporate performance, obtained from the annual financial...

Analysing The Effects Of Macroeconomic Variables On Inflation In Ghana Using Distributed Lag Models.

The study examines the relation between inflation and some key macroeconomic variables such as money supply, interest rate, exchange rate, and GDP in Ghana. These macroeconomic variables are obtained from the Bank of Ghana spanning through January 1990 to December 2014. Data obtained were on monthly basis. However, it is only the GDP which was an annual data but had been transformed into monthly data. We use the Augmented Dickey-Fuller (ADF) technique; the Granger Causality Test Techniqu...

Performance Measurement Of Probability Distributions In Modelling Non-life Insurance Claims

In this thesis, we model non-life insurance claims by using the two-parameter Negative Binomial (NB) and three-parameter Discrete Generalised Pareto (DGP) distributions. Data from National Insurance Commission (NIC) on Reported and Settled Claims counts for the period 2012 - 2016 were considered. The maximum likelihood estimation (MLE) was adopted to fifit Negative Binomial and Discrete Generalised Pareto to the count data. In the latter case, the estimation involved two steps. First, th...

Modelling Asset Returns In A Portfolio Using Ornstein-Uhlenbeck Stochastic Proce

ABSTRACT The study explores the modelling of asset returns in portfolio as a stochastic process which exhibits mean reversion towards the long-term stationary mean. This can be thought of as if an asset return is connected to its long-run mean with a spring which pulls the asset return towards the long-run mean. The study investigates the stochastic nature of two assets returns by use of autoregressive and Ornstein-Uhlenbeck (OU) processes to illustrate the features of the assets weekly retur...

Statistical Analysis Of The Effect Of Inflation And Exchange Rate On Stock market Returns In Ghana

ABSTRACT The study examined the effect of exchange rate and inflation on stock market returns in Ghana. Monthly inflation and exchange rate data obtained from the Bank of Ghana and monthly market returns computed from the GSE all-share index from January 2000 through to December 2013 was used. The Autoregressive Distributed Lag (ARDL) cointegration technique, the Error correction parametization of the ARDL model and Markov transition probabilities were used in unveiling this dynamics. The A...

Effects of Dependent Claims on The Probability of Ruins, The Time to Ruin Given Ruin Occurs

ABSTRACT  Ruin basically occurs to an insurance company when the claims paid out supersedes its initial capital and total premiums accumulated. In the classical theory of risk, the surplus is a significant model that deals with how long an insurance company's capital or surplus evolves. The first time ruin occurs is very crucial and the business must try to prevent it from happening again because it makes the business inefficient and inoperable. The time to ruin is so much a function of the ...

Application of BÜHLMANNS-Straub Credibility Theory to Claim Histories of Non-Life Marine Insurers in Ghana

ABSTRACT The study sought to demonstrate how credibility claim costs without the consideration of claim frequency and claim severities underlined by different risk profiles underestimate claim costs or premiums charged policyholders by non-life insurance companies. We used secondary data of non-life marine insurers in Ghana, claim histories that range from the period of 2013 to 2018. The claim histories included claim sizes, claim counts and policy counts. Bühlmans-Straub Credibility theory...

Forecasting Mortality Rate And Modelling Longevity Risk of SSNIF Pensioners

ABSTRACT Predicting mortality trend and hedging of longevity risk in recent times has gained attention at a period when life expectancies are increasing unexpectedly. Life insurance companies may make more profit owing to the advancements in technology, hygiene, and medical procedures which leads to decreasing liabilities emanating from payment of reducing death benefit payments. However, longevity improvements may result in losses for annuity insurance schemes such as pensions. The study in...

ASSESSING THE IMPACT OF RISK BASED INSURANCE SUPERVISION METHODOLOGY ON NON-LIFE INSURANCE COMPANIES IN GHANA

ABSTRACT The purpose of this research is to evaluate how the inception of risk based supervisory approach has influenced the solvency positions of insurers in Ghana. The study considered 20 General Insurance Companies from 2008 – 2018. The main objectives of the study were to generate credibility risk premium values for individual claim experience to be used as an average premium regulator and develop Performance ratio thresholds for the Insurance Industry in Ghana using credibility theorie...

A STOCHASTIC ANALYSIS OF INVESTMENT PROSPECTS IN WEST AFRICA: A CASE OF GHANA AND NIGERIA

ABSTRACT The main aim of this study is to analyse investment prospect in Ghana and Nigeria using rate of inflation, 90-day Treasury bill rate (interest rate) and local currency per US dollar exchange rate. The dataset span from January, 2003 to June, 2014. Stochastic time series analyses (ARIMA and ARCH-type) models were employed in the forecasting of the macroeconomic variables and simple investment accumulation was also employed in the accumulation of investment returns. The results reveale...

On mathematical models for pension fund optimal selection strategies

Pension, being regular payments made to retirees or their beneficiaries after retiring from active service, needs efficient and effective management because of the funds involved as the living standard of the retirees and their dependants rest on it after retirement. In attempt to maximize the wealth of pension contributors, the investors may end up losing the pension fund assets because higher returns on investment go hand in hand with higher risk of loss of invested contributions/savings. T...

A review of mortality differential

A REVIEW OF MORTALITY DIFFERENTIALS. Abere, OmotayoJohncally( [email protected] ) Department of Actuarial Science & Insurance, University of Lagos Nigeria Mojekwu, Joseph Nnamdi (Corresponding Author) Department of Actuarial Science & Insurance, University of Lagos Nigeria E-mail: [email protected]   Abstract. Introduction: Mortality differentials can be described as those determinants or indicators that measure relative differences in the timing of death between different groups. They m...

EFFECTS OF FIRM SPECIFIC FACTORS ON NON-LIFE INSURANCE COMPANIES’ PROFITABILITY IN UGANDA; A CASE STUDY OF UGANDA INSURANCE MARKET

This study investigates the effect of firm-specific factors on the profitability of non-life insurance companies operating in Uganda to be more specific, to examine the relationship between profitability and economic factors, firm size, underwriting factor.  For this purpose, secondary data of 21 non-life insurance companies operating in Uganda from the period 2004–2015 were collected from IRA. The data was analyzed using descriptive statistics, coefficient of determination (R2), standard...

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, estimating insurance loss distributions in general insurance contracts: a case study in ghana, application of discrete and continous time models in valuation of credit insurance for asset-based lending companies.

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The Art of Actuarial Science Dissertation Writing – Presentation Perfection

Indeed, writing an actuarial science dissertation is not everyone’s cup of tea because it is not just a piece of paper; it is the real demonstration of your years of hard work on a single topic. So, if you are also finding it intimidating to start working on your dissertation, you are not alone though. Plenty of students go through similar situations a million times a day. 

Actuarial science plays a great role in solving the real-world issues of the future, and that’s the reason for their growing demand day by day. DW Simpson reported that in the last year, actuaries had plenty of job opportunities that will further grow between 2021 and 2031. This growth matches the Department of Labour’s prediction of a 20% rise in actuary jobs by the end of the decade, meaning around 2400 new positions yearly.

Now, returning towards actuarial science dissertation writing, the main thing during this journey is how you present your results and analysis. Your presentation makes a great impact as it provides the real image of your work in a very fascinating way. 

Here, we will discuss useful strategies in a step-by-step guide to writing your actuarial science dissertation. But before that, let’s explore this field first.

What is Actuarial Science?

According to Morgan State University, actuarial science mixes math, finance, accounting, and economics. It’s about understanding numbers and how they apply to real-life business situations. Actuaries use this knowledge to manage risk, helping companies and clients make smart decisions. They use math and statistics to study events and predict risks. Then, they suggest ways to reduce these risks and their financial impact. That’s the core of actuarial science.

An actuarial science dissertation is a big research project for graduate students. They can do it in two ways: either with a direct link with a supervisor a UCD School of Mathematical Sciences member’s help or in an actuarial firm if they get accepted. In both cases, they need professional help to qualify because this dissertation is very demanding. Students mostly prefer to hire dissertation writing services from experts in this field to save time and ensure success.

Actuarial Science Dissertation Topics for 2024

Finding the right topic for your project is a very tough task, especially when you are going to write a dissertation on actuarial science. This field is itself very demanding, and you have to choose your topic of study carefully. 

Students mostly get stuck here without any help, so we have presented some actuarial science dissertation ideas for your topic selection phase:

• How Actuarial Science Evolved Over Time
• Risk Management Strategies in Insurance Companies
• The Impact of Independent Study on Actuarial Science Education
• Exploring Actuarial Science Through a Placement Year Experience
• Analysing Mathematical Models in Actuarial Science
• The Practical Application of Mathematical and Statistical Methods in Actuarial Models
• Actuaries Tackling Natural Disasters
• Actuarial Science’s Role in Handling Finances
• Accredited Programs vs. Real-World Experience
• Enhancing Teaching and Learning in Actuarial Science

How Do You Write an Actuarial Science Dissertation? 10 Steps Guide

If you are looking for a guide where someone help you with everything you are going through, you are at the right place! To become an expert actuary, you have to pass various exams and dissertation writing is one of them. This task takes up a very important time of your life, and you can’t face failure in it. 

So, to avoid any drastic situation, follow this comprehensive guide where we have broken down the whole process into some easy steps:

Step 1: Understanding Your Audience

It’s critical to identify your audience before getting into the specifics of writing and presenting your actuarial science dissertation. Who is going to see or hear your presentation? Are they instructors, other students, professionals from the sector, or a mix of these? To successfully communicate your research results, you must adjust your presentation to the interests and degree of knowledge of your audience.

Step 2: Write with Clarity and Concision

Clear and succinct writing is the cornerstone of a well-presented dissertation on actuarial science. During this stage, you should avoid using too many technical terms and jargon that can mislead your viewers. Instead, make an effort to explain things simply and clearly. 

In addition, you should divide difficult ideas into manageable portions so that you can attempt them easily. Using evidence in the form of examples, quotes, stats, and pictures is also important to improve comprehension.

Step 3: Follow the Actuarial Science Dissertation Structure

A well-structured dissertation is not just easy to read and understand for your reader but also shows your organisational skills. Think about the conventional format of your dissertation, which is as follows:

• Introduction: Give a brief overview of your background, the purpose of your study, and its importance to the actuarial community.
• Problem Statement: Clearly state the issue or query that your study attempts to answer. It includes a clear representation of your actuarial science dissertation research questions.
• Literature Review: At this step, you should show your research skills by finding the right and relevant content from the existing literature. It includes mostly the supporting facts to your arguments to strengthen your work.
• Methodology: Describe your research methodology, including data sources, analytic strategies, and any relevant presumptions.
• Results: Clearly and succinctly present your results. Graphs, charts, and tables are useful tools for communicating complicated data.
• Discussion: Examine your findings, explain their significance, and discuss how they affect the actuarial profession and other fields.
• Conclusion: Provide a brief summary of your main findings, restate the importance of your study, and suggest possible lines of inquiry for the future.

Step 4: Make Your Presentation Perfect

There are some components that improve the quality of your presentation even beyond its framework. Your actuarial science dissertation can become successful only if you present it well. So, to give your writing a perfect look, follow these essentials:

• Conciseness and Clarity: When feasible, speak clearly and succinctly; stay away from jargon. Make sure that everyone understands the main points of your study by simplifying complicated ideas.
• Professionalism: Always speak and dress in a professional manner. Write your dissertation in the most formal way while maintaining your academic tone. In order to achieve a confident and seamless presentation, practice your speech beforehand.
• Engagement: Make eye contact with the audience, project your voice, and speak clearly during your actuarial science dissertation presentation. To start a conversation, you should have enough courage to invite questions throughout your demonstration.

Step 5: Use of Visual Aids

Adding visuals to your presentation, such as tables, charts, and graphs, may greatly improve its impact and clarity. We all know how difficult it is to explain the tough concepts of actuarial science, but you can simplify it with the help of these visuals. So, whenever you go to present your dissertation, add some relevant pictures to portray everything without even explaining. It assists students in showing complicated connections and patterns in the data.

Step 6: Adopt a Storytelling Style

An actuarial science dissertation mostly includes a lot of stats and mathematical formulas. While numbers and data are important, you should try to give it the shape of a story by adopting such a style. 

Here, you should describe the “why” behind your investigation, the difficulties you encountered, and the “happy” moments you had during this journey. Your audience may relate to this personal touch, which will increase the impact of your presentation.

Step 7: Practice, Practice, Practice

When you are writing your dissertation, giving it enough time with full dedication is important to make your writing outstanding. When it comes to presenting your work, practice becomes the secret sauce behind your success. So, you should practice your presentation many times, paying attention to your timing, expression, clarity, and delivery style. It helps you to clearly portray your ideas explained in the actuarial science dissertation.

Moreover, you should be mindful of your voice tone and body language and strive for professionalism and assurance. To get feedback and pinpoint areas that need work, practice presentations in front of friends, family, or co-workers. They give you the best advice that you can use to improve yourself. 

Step 8: Seeking Feedback

Asking your supervisor, classmates, or other reliable sources for criticism on your dissertation and presentation is nothing to be ashamed of. All of them provide constructive feedback that will help you to improve your actuarial science dissertation writing and presentation skills. They assist you in finding unseen mistakes, making unclear topics clear, and giving you honest reviews. You should accept their criticism wholeheartedly, considering it as a chance for development and advancement.

Step 9: Final Touches

Spend some time sharpening your presentation and making any necessary changes before the big day. Make sure all formatting is consistent, double-check for spelling and grammatical mistakes, and make sure all the visuals are properly labelled and cited. On the day of your presentation, dress up well and arrive early to set up any equipment and get a feel for the space.

Step 10: Getting Actuarial Science Dissertation Help

As we all know how important it is for you to write a perfect dissertation for actuarial science, you should not take the risk of any flaws in it. Students mostly get dissertation help online from professional writers because they leave no room for mistakes. They design your dissertation in the most appropriate way so that it will astonish everyone and help you secure your desired grades. 

How Many Years is Actuarial Science?

Actuarial science isn’t like a regular degree program with a set number of years. It’s a career path that takes time. According to the University of Pretoria, it usually takes about 9 years to become a fully qualified actuary. This includes 4 years of full-time university studies and 5 years of professional studies while working.

However, to become a qualified actuary, you’ll need a mix of education and on-the-job learning, which can span several years. Here’s how it typically breaks down:

• Get a bachelor’s degree (BSc actuarial science)
• Pass professional exams
• Gain work experience

What is the Best A-level Combination for Actuarial Science?

You’ll need solid math skills, so it is essential to study Mathematics at your A-level if you are looking to become an actuary. This sets the stage for your exams and pleases many employers. 

Besides math, there are some subjects that experts recommend studying during actuarial science study, which include statistics, economics, and computer science. Employers often prefer a 2:1 or higher, especially in subjects like math, statistics, or economics.

There is no other opinion about writing an actuarial science dissertation other than that it is one of the most difficult phases in the life of an actuary. To write it excellently, you need to increase your knowledge through research and then implement it in the methodology. Along with that, the presentation of your results also has great significance in mastering this skill. 

Only a well-written dissertation can highlight your research results in the most effective way that engages your readers and educates them about your study. So, start this journey with great enthusiasm and follow our step-by-step guide for achieving excellence in your work.

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