Quantitative Analysis of Finance II

Subject ECON90010 (2016)

Note: This is an archived Handbook entry from 2016.

Credit Points: 12.5
Level: 9 (Graduate/Postgraduate)
Dates & Locations:

This subject has the following teaching availabilities in 2016:

Semester 1, Parkville - Taught on campus.
Pre-teaching Period Start not applicable
Teaching Period 29-Feb-2016 to 29-May-2016
Assessment Period End 24-Jun-2016
Last date to Self-Enrol 11-Mar-2016
Census Date 31-Mar-2016
Last date to Withdraw without fail 06-May-2016

Semester 2, Parkville - Taught on campus.
Pre-teaching Period Start not applicable
Teaching Period 25-Jul-2016 to 23-Oct-2016
Assessment Period End 18-Nov-2016
Last date to Self-Enrol 05-Aug-2016
Census Date 31-Aug-2016
Last date to Withdraw without fail 23-Sep-2016


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

Prerequisites:

ECON90033 Quantitative Analysis of Finance I or ECOM90011 Financial Econometrics or equivalent

Subject
Study Period Commencement:
Credit Points:
Semester 1, Semester 2
12.50
Corequisites:

None

Recommended Background Knowledge:

None

Non Allowed Subjects:

None

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

Coordinator

Mr Tomasz Wozniak, Prof Vance Martin

Contact

Semester 1

Prof Vance Martin Email: vance@unimelb.edu.au

Semester 2

Mr Tomasz Wozniak Email: tomasz.wozniak@unimelb.edu.au

Subject Overview:

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.

Learning Outcomes:

On successful completion of this subject students should be able to:

  • Identify and apply recent advances in quantitative methods to solve a range of problems in finance;
  • Describe how quantitative procedures can be applied in financial decision making;
  • Demonstrate a sophisticated understanding of quantitative methods by reproducing existing results. This will involve using both mathematical and computer skills. The computer programs used are EViews, Matlab and Excel;
  • Develop alternative frameworks for exploring new ideas in building alternative financial models;
  • Evaluate the strengths and importance of research in applied finance and the implications of research for solving financial problems.
Assessment:
  • 2000 word group assignment, due in second half of semester (20%);
  • One 90 minute mid-semester test in Weeks 5 (10%); and
  • A 2-hour final examination, during the examination period (70%).
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
Generic Skills:

On successful completion of this subject, students should have improved the following generic skills:

  • Evaluation of ideas, views and evidence;
  • Synthesis of ideas, views and evidence;
  • Strategic thinking;
  • Critical thinking;
  • Application of theory to economic policy and business decision making;
  • Summary and interpretation of information;
  • Statistical reasoning;
  • Problem solving skills;
  • Written communication; and
  • Oral communication.

Notes:

This subject is only available to students enrolled in the second year of the Master of Finance.

Related Course(s): Master of Finance

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