Note: This is an archived Handbook entry from 2016.
|Dates & Locations:|| |
This subject has the following teaching availabilities in 2016:Semester 2, 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/or tutorials per week |
Total Time Commitment:
Estimated total time commitment of 170 hours.
For students who started their degree in 2007 or earlier:
For students who started their degree in 2008 or later:
|Recommended Background Knowledge:|| |
Please refer to Prerequisites and Corequisites.
|Non Allowed Subjects:||
Student may not gain credit for both ACTL30005 Models for Insurance and Finance and 300-332 Modelling in Insurance and Finance II.
|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 Daniel Dufresne
Topics include: probability concepts; martingales in actuarial studies and finance; applications of Brownian motion, geometric Brownian motion and the lognormal distribution; stochastic calculus; models for financial time series; applications of Monte Carlo simulation in insurance and finance.
• Have an understanding of some probability concepts to solve problems using sigma-algebras, probability measures, random variables, distributions and expectations of random variables;
• Describe conditional expectations and apply their properties to simplify calculations;
• Construct and apply martingales in solving problems in insurance and finance;
• Gain basic knowledge of Brownian motion and geometric Brownian motion.
• Perform calculations with stochastic integrals and Ito's formula.
A 2-hour end of semester examination (80%) and up to three assignments totalling not more than 20 pages (20%).
|Prescribed Texts:|| |
You will be advised of prescribed texts by your lecturer.
|Recommended Texts:|| |
Information Not Available
|Breadth Options:|| |
This subject potentially can be taken as a breadth subject component for the following courses:
You should visit learn more about breadth subjects and read the breadth requirements for your degree, and should discuss your choice with your student adviser, before deciding on your subjects.
|Fees Information:||Subject EFTSL, Level, Discipline & Census Date|
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