Note: This is an archived Handbook entry from 2016.
|Dates & Locations:|| |
This subject has the following teaching availabilities in 2016:Semester 1, Parkville - Taught on campus.
Semester 2, Parkville - Taught on campus.
Timetable can be viewed here. For information about these dates, click here.
|Time Commitment:||Contact Hours: Three hours per week of lectures and tutorials |
Total Time Commitment:
Estimated total time commitment of 120 hours per semester
ECON90033 Quantitative Analysis of Finance I or ECOM90011 Financial Econometrics or equivalent
Study Period Commencement:
Semester 1, Semester 2
|Recommended Background Knowledge:|| |
|Non Allowed Subjects:|| |
|Core Participation Requirements:||
For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Student Support and Engagement Policy, academic requirements for this subject are articulated in the Subject Overview, Learning Outcomes, Assessment and Generic Skills sections of this entry.
It is University policy to take all reasonable steps to minimise the impact of disability upon academic study, and reasonable adjustments will be made to enhance a student's participation in the University's programs. Students who feel their disability may impact on meeting the requirements of this subject are encouraged to discuss this matter with a Faculty Student Adviser and Student Equity and Disability Support: http://services.unimelb.edu.au/disability
CoordinatorMr Tomasz Wozniak, Prof Vance Martin
Prof Vance Martin Email: firstname.lastname@example.org
Mr Tomasz Wozniak Email: email@example.com
The subject will focus on estimating and testing nonlinear models in finance including volatility models, artificial neural networks, factor models of contagion and discrete models of financial behaviour. Special attention will be given to applications in option markets (implied volatility and smiles), bond markets (level effects) and credit markets (default risk). Estimation and testing methods are based on maximum likelihood and generalised method of moments. The computer software used throughout the course is E-Views.
On successful completion of this subject students should be able to:
|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|
On successful completion of this subject, students should have improved the following generic skills:
This subject is only available to students enrolled in the second year of the Master of Finance.
Master of Finance |
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