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Quantitative Finance Major

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Offered By ANU College of Business and Economics
Academic Contact ANU College of Business and Economics
Areas of Interest Commerce, Finance, and Statistics

These are the 2012 rules for the major. The 2011 rules for the major are available here.

 

The major in Quantitative Finance builds skills in the concepts and techniques required in the financial markets for statistical analysis and modelling, risk management, model calibration, and derivatives pricing. Students will develop competency in both the theory and the implementation. The analytic skills obtained will be highly beneficial for a career in a hedge fund, funds management, derivatives trading and sales, risk management, or consulting.

Learning Outcomes

1. Recognise the important role of options, futures and other contingent claims  in the financial markets.

2. Apply mathematical techniques for the pricing and hedging of contingent claims whilst demonstrating appreciation for the underlying assumptions and requirements for these techniques to be valid.

3. Communicate the principles and results using the language and conventions of the discipline.

4. Apply the theory in practice through computer based modelling, in appropriate contexts.

5. Develop the skills necessary to critically engage with and evaluate literature on the management and pricing of contingent claims. 

6. Develop the skills necessary to work independently and collaboratively to collect, process, interpret pricing models and their outcomes. 

Prerequisites

Some courses in this major have the following prerequisites:

FINM1001 Foundations of Finance

STAT1008 Quantitative Research Methods

Requirements

 This major requires the completion of 48 units, which must include:

48 units from completion of the following compulsory courses:

FINM2001 Corporate Finance

FINM2002 Derivatives

FINM2003 Investments

FINM3003 Continuous Time Finance

FINM3007 Advanced Derivatives Pricing and Applications

STAT2001 Introductory Mathematical Statistics

STAT2008 Regression Modelling

STAT3004 Stochastic Modelling

The information published on the Study at ANU 2012 website applies to the 2012 academic year only. All information provided on this website replaces the information contained in the Study at ANU 2011 website.

Updated:   13 Nov 2015 / Responsible Officer:   The Registrar / Page Contact:   Student Business Solutions