Leader: Professor Fima Klebaner and Professor Don Poskitt
Offered
Clayton First semester 2008 (Day)
Synopsis
Mathematical definition of options and other financial derivatives; probability models; mathematical models of random processes; applications; numerical methods; Monte Carlo methods.
Objectives
The learning objectives of this unit are to:
- develop an understanding of the modern approach to evaluation of uncertain future payoffs;
- develop an understanding of the concepts of arbitrage and fair games and their relevance to finance and insurance;
- develop an understanding of concept of conditional expectation and martingales and their relation to pricing of financial derivatives;
- develop an understanding of the random processes such as Random Walk, Brownian Motion and Diffusions and be able to apply them for modelling real life processes and risk models;
- obtain skills to use Ito's formula ;
- develop the skills to price options by using the Binomial and Black-Scholes models;
- ability to simulate the price process and obtain prices by simulation;
- ability to formulate discrete time Risk Model in Insurance and use it for control of probabilities of ruin.
Assessment
Within semester assessment: 40%
Examination: 60%.
Contact hours
3 one-hour lectures and 1 one-hour tutorial/practice class per week.
Prerequisites
ETC1010 and one of ETC2400, ETC2410, ETC2430, ETC2480.
