This document summarizes an Actuarial Mathematics II course, which is a compulsory level III course and important foundation for an actuarial science degree. The course expands on topics from Introduction to Actuarial Mathematics, and teaches fundamental mathematical techniques for valuing cash flows dependent on uncertain events like death, survival, and sickness. Students will learn to calculate reserves and premiums for various insurance and annuity contracts using single and multiple decrement tables, construct multiple decrement tables, and perform calculations using Markov chain models. Assessment includes a coursework exam worth 25% and a final exam worth 75%.
This document summarizes an Actuarial Mathematics II course, which is a compulsory level III course and important foundation for an actuarial science degree. The course expands on topics from Introduction to Actuarial Mathematics, and teaches fundamental mathematical techniques for valuing cash flows dependent on uncertain events like death, survival, and sickness. Students will learn to calculate reserves and premiums for various insurance and annuity contracts using single and multiple decrement tables, construct multiple decrement tables, and perform calculations using Markov chain models. Assessment includes a coursework exam worth 25% and a final exam worth 75%.
This document summarizes an Actuarial Mathematics II course, which is a compulsory level III course and important foundation for an actuarial science degree. The course expands on topics from Introduction to Actuarial Mathematics, and teaches fundamental mathematical techniques for valuing cash flows dependent on uncertain events like death, survival, and sickness. Students will learn to calculate reserves and premiums for various insurance and annuity contracts using single and multiple decrement tables, construct multiple decrement tables, and perform calculations using Markov chain models. Assessment includes a coursework exam worth 25% and a final exam worth 75%.
This document summarizes an Actuarial Mathematics II course, which is a compulsory level III course and important foundation for an actuarial science degree. The course expands on topics from Introduction to Actuarial Mathematics, and teaches fundamental mathematical techniques for valuing cash flows dependent on uncertain events like death, survival, and sickness. Students will learn to calculate reserves and premiums for various insurance and annuity contracts using single and multiple decrement tables, construct multiple decrement tables, and perform calculations using Markov chain models. Assessment includes a coursework exam worth 25% and a final exam worth 75%.
LEVEL: III SEMESTER: I NUMBER OF CREDITS: 3 PREREQUISITES: Mathematics of Finance (MATH2210), Introduction to Actuarial Mathematics (MATH2220) RATIONALE This course is an extension and expansion of that for Introduction to Actuarial Mathematics. The goal of the syllabus is to provide an understanding of fundamental mathematical techniques required to value and model cash flows dependent on death, survival, disability, termination, sickness and other uncertain events. It also covers multiple life and other types of status. COURSE DESCRIPTION: This is a compulsory level III course which is an important foundation course in actuarial science. Candidates should master the fundamental concepts of actuarial and financial mathematics and its simple applications as indicated in the Learning outcomes. This course allows the candidate to begin preparation for the professional examinations (the Society of Actuaries Actuarial Models examination, Exam 3 of the Casualty Actuarial Society, and the Faculty/Institute of Actuaries Contingencies examination).
LEARNING OUTCOMES On completion of this course the student should be able to: Calculate the reserves for life insurance and annuity contracts based on single and multiple decrement tables using the Prospective and Retrospective Methods. Calculate premiums for all types of policies based on the multiple decrement tables and single life table (SDT) Be able to construct a Multiple Decrement Table (MDT) and its Associated Single Decrement Tables (ASDT). Carry out calculations based on both the SDT and the MDT. Do all types of problems based on joint life, multiple life, last survivor statuses. Carry out calculations for Reversionary Annuities. Understand and be able to do calculations using the Common Shock Model. Understand continuous-time Markov chain models, discrete approximations of continuous-time Markov chain models and discrete-time Markov chain models CONTENT Reserves Based on Single Decrement (Life) Table: Calculation of Reserves using Prospective and Retrospective methods, Recursive Formula, Policy Alteration
Joint Life Functions
Study of T(x) and T (y), the complete future lifetimes of two lives (x) and (y), Joint Cumulative Function, Joint Density Function, Joint survival function, Covariance of T(x) and T (y), Correlation coefficient of T(x) and T(y), Marginal distributions of T(x) and T(y)
Study of the Joint Status (xy) and Last Survivor
Definition of joint status (x y) and Last Status Survivor xy , Full study of T (x y) including and T xy , Cumulative Distribution Function, Probability Density Function, Expectation, Variance, Survival Function, Probabilities associated with T(xy) and T xy , Force of failure of the status (xy) and status xy
Insurances and Annuities
Problems on Insurances and Annuities based on Joint Life status and Last survivor status, Problems on Reversionary Annuities
The Common Shock Model Definitions, Modelling Dependence, Applications to all types of Insurance and Annuity Problems MDT and ASDT Definitions, Complete study of MDT, Complete study of ASDT, Construction of MDT from ASDT and vice versa, Incorporating continuous and discrete decrements, Problems involving MDT and ASDT, Applications to Pensions Annuities and Insurances. Markov Chain Models
Calculate the probability of being in a particular state and transitioning between states based on continuous-time Markov chain models, discrete approximations of continuous-time Markov chain models and discrete-time Markov chain models.
Calculate present values of cash flows by redefining the present-value-of-benefits and present- value-of-premium random variables to Markov chain models.
Calculate benefit reserves and premiums using a Markov chain model with specified cash flows.
TEACHING METHODOLOGY: This course will be delivered by a combination of theoretical classes, practices (tutorials) and other group activities. The delivery mode will be largely interactive. The total estimated 39 contact hours are broken down as follows: 28 hours of lectures and 11 hours of tutorials. The course material (complimentary notes, practice problems and assignments) will be posted on ourvle http://ourvle.mona.uwi.edu/
ASSESSMENT:
The course assessment will be divided into two components: a coursework component worth 25% and a final exam worth 75%.
One coursework exam worth 25% of the final grade The final exam will be two hours in length and consist of compulsory questions.
REFERENCE MATERIAL Prescribed Text: Bowers, N.L. et al, Actuarial Mathematics (Second Edition), 1997, Society of Actuaries
Highly Recommended Text: Cunningham, R. Herzog, T., Moels for Quantifying Risk (Thir Edition), 2009, Actex Publications
Online resources: The following are free online lectures which the student may access for revision purposes: http://www.soa.org/files/pdf/edu-2008-spring-mlc-24-2nd.pdf http://www.actuarialseminars.com/Misc/SNorderform.html