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Advanced Derivative Securities (FNCE90005)
Graduate courseworkPoints: 12.5Not available in 2020
For information about the University’s phased return to campus and in-person activity in Winter and Semester 2, please refer to the on-campus subjects page.
Please refer to the LMS for up-to-date subject information, including assessment and participation requirements, for subjects being offered in 2020.
Overview
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Arbitrage bounds, stock price dynamics, geometric Brownian motion and Itos Lemma, Cox-Ross-Rubinstein binomial model, Black-Scholes model, risk neutral valuation, forwards and futures, currency, stock index, futures and exotic options, Interest rate derivative securities.
Intended learning outcomes
On successful completion of this subject students should be able to:Explain the role of arbitrage as a basis for determining the prices of financial securities;
- Compare the various dynamics of stock price and interest rate models;
- Explain the derivation of key option pricing models including the Cox-Ross-Rubinstein Binomial model and the Black-Scholes model;
- Analyse the use of arbitrage pricing techniques to value other classes of derivative securities including forwards, futures, swaps and interest rate derivatives;
- Analyse the theoretical limitations of key pricing models and on practical difficulties which arise in their implementation.
- Use statistical software to compute prices of financial instruments according to key pricing models such as the Black-Scholes model.
- Interpret and analyse market data using statistical software to generate inputs for pricing models and to value derivative portfolios.
Generic skills
On successful completion of this subject, students should have improved the following generic skills:
- Oral communication
- Written communication
- Collaborative learning
- Problem solving
- Team work
- Statistical reasoning
- Application of theory to practice
- Interpretation and analysis
- Critical thinking
- Synthesis of data and other information
- Evaluation of data and other information
- Using computer software
Last updated: 3 November 2022
Eligibility and requirements
Prerequisites
Either FNCE30007 Derivative Securities and FNCE40002 Advanced Investments or admission into the Master of Commerce – Finance.
Code | Name | Teaching period | Credit Points |
---|---|---|---|
FNCE30007 | Derivative Securities |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
FNCE40002 | Advanced Investments | Semester 1 (On Campus - Parkville) |
12.5 |
Corequisites
None
Non-allowed subjects
None
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 3 November 2022
Assessment
Due to the impact of COVID-19, assessment may differ from that published in the Handbook. Students are reminded to check the subject assessment requirements published in the subject outline on the LMS
Description | Timing | Percentage |
---|---|---|
Two group assignments (normally 3-4 students per group)
| From Week 7 to Week 12 | 30% |
End-of-semester examination
| During the examination period | 70% |
Last updated: 3 November 2022
Dates & times
Not available in 2020
Time commitment details
Estimated total time commitment of 170 hours per semester
Last updated: 3 November 2022
Further information
- Texts
Prescribed texts
You will be advised of prescribed texts by your lecturer.
- Related Handbook entries
This subject contributes to the following:
Type Name Course Master of Commerce (Accounting) Course Master of Commerce (Finance)
Last updated: 3 November 2022