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.
Timetable can be viewed here. For information about these dates, click here.
|Time Commitment:||Contact Hours: Three hours of lectures and seminars per week |
Total Time Commitment: Not available
Admission into BH-COM and
Study Period Commencement:
Semester 1, Semester 2
|Recommended Background Knowledge:|| |
Please refer to Prerequisites and Corequisites.
|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
CoordinatorProf Peter Bossaerts
At a theoretical level, the subject teaches principles of strategic and tactical asset allocation, and their potential impact on market-wide phenomena such as asset prices and trading volume (“asset pricing theory”). At the practical level, the subject provides students with opportunities to attempt implementing investment choices in purposely controlled online markets. Students will experience the effect of their actions on commonly used performance evaluation statistics. Mistakes will be put into perspective against recent advances in behavioural finance. Special attention will be paid to market-wide effects of such mistakes, if they exist, and whether these are easily recognisable in real-world financial markets. Lastly, students will investigate to what extent and how trading can be automated (algorithmic trading). Students with programming background (Python) have the option to test their algorithms live in controlled online markets.
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|
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