Stochastic Methods in Applied Finance - AFIN270
The applied finance discipline has become more reliant on quantitative analysis in recent years. Increasingly, models employed by practitioners and researchers are based on assumptions about the stochastic properties of financial variables and time series. This unit covers a variety of stochastic models for use in applied finance and includes extensive use of Excel spreadsheets. The topics include discrete and continuous probability distributions, extreme events, joint probability distributions, copulas, Bayesian analysis, regression models, time series models, and risk-neutral pricing.
| Credit Points: | 3 |
| When Offered: | S1 Day - Session 1, North Ryde, Day S2 Evening - Session 2, North Ryde, Evening |
| Staff Contact(s): | Finance staff |
| Prerequisites: |
15cp at 100 level or above including (AFIN100 or AFIN102 or ACST152) and (STAT150 or STAT170 or STAT171) |
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| Assessed As: | Graded |
| Offered By: | Department of Applied Finance Faculty of Business and Economics |
Course structures, including unit offerings, are subject to change.
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