Life Insurance Models I

Subject ACTL90006 (2012)

Note: This is an archived Handbook entry from 2012.

Credit Points: 12.50
Level: 9 (Graduate/Postgraduate)
Dates & Locations:

This subject has the following teaching availabilities in 2012:

Semester 1, Parkville - Taught on campus.
Pre-teaching Period Start not applicable
Teaching Period not applicable
Assessment Period End not applicable
Last date to Self-Enrol not applicable
Census Date not applicable
Last date to Withdraw without fail not applicable


Timetable can be viewed here. For information about these dates, click here.
Time Commitment: Contact Hours: A 2 hour seminar and a 1 hour workshop per week
Total Time Commitment: Estimated total time commitment of 120 hours per semester
Prerequisites:

Students must have completed MAST20004 Probability and MAST20005 Statistics or equivalent.

Subject
Study Period Commencement:
Credit Points:
Semester 1
12.50
Semester 2
12.50
Corequisites: None
Recommended Background Knowledge:

Students should be competent in the use of Excel.
Non Allowed Subjects: None
Core Participation Requirements:

For the purposes of considering requests for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Students Experiencing Academic Disadvantage Policy, academic requirements for this subject are articulated in the Subject Description, Subject Objectives, Generic Skills and Assessment Requirements for this entry.

The University is dedicated to provide support to those with special requirements. Further details on the disability support scheme can be found at the Disability Liaison Unit website: http://www.services.unimelb.edu.au/disability/

Coordinator

Assoc Prof Shuanming Li

Contact

Graduate School of Business and Economics
Level 4, 198 Berkeley Street
Telephone: +61 3 8344 1670
Online Enquiries
Web: www.gsbe.unimelb.edu.au

Subject Overview: Topics include survival models concepts; estimation procedures for lifetime distributions; multiple state models; multiple decrements; binomial model of mortality; actuarial applications of Markov processes; exact and census methods for estimating transition intensities based on age.
Objectives:

On successful completion of this subject a student should be able to:

  • Explain the concept of survival models;
  • Describe estimation procedures for lifetime distributions;
  • Define a Markov process, and apply Markov models in actuarial problems;
  • Describe statistical models of transfer between multiple states, including processes with single or multiple decrements, and derive relationships between probabilities of transfer and transition intensities;
  • Derive maximum likelihood estimators for the transition intensities in models of transfers between states with piecewise constant transition intensities;
  • Describe the Binomial model of mortality, derive a maximum likelihood estimator for the probability of death and compare the Binomial model with the multiple state models;
  • Describe how to estimate transition intensities depending on age, exactly or using the census approximation.
Assessment:
  • An assignment of up to 1,000 words (10%)
  • One hour mid-semester test (20%)
  • Two hour end of semester exam (70%)
Prescribed Texts: You will be advised of prescribed texts by your lecturer.
Breadth Options:

This subject is not available as a breadth subject.
Fees Information: Subject EFTSL, Level, Discipline & Census Date
Generic Skills:

High level of development:

  • Written communication;
  • Problem solving;
  • Statistical reasoning;
  • Application of theory to practice;
  • Synthesis of data and other information.
Related Course(s): Master of Actuarial Science
Postgraduate Diploma in Actuarial Science

Download PDF version.