S. Jaimungal
Assistant Professor, Department of Statistics and
Associate Director, Mathematical Finance Program, University of Toronto

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ACT 460 / STA 2502 – Stochastic Methods for Actuarial Science

Class Photo :

Important:

  • Congratulations to all who completed the course! I very much enjoyed teaching it, and although it was the first time it was offered, I believe it went relatively smoothly. I am sure it has been challenging at times; however, I hope that you all had an overall positive experience and have gained a deeper appreciation of stochastic modeling and how it can be practically applied. HAPPY HOLIDAYS AND HAVE A GREAT NEW YEAR!
  • I will have the exams graded by the end of the first week of January.
  • I am looking for someone to do some RA work with me next term. The work requires *strong* knowledge of the material in this course, as well as very good programming skills in Excel VBA and C / C++ and very good communication skills. It will involve systematically creating Excel spread sheets and C++ engines for pricing, hedging and risk management of various derivatives. If you are interested, please send me your CV/resume, a photocopy of your academic transcript, and a statement of interest regarding working in the financial sector.

Location and TiMe:

Where: Lash Miller 162
When: Tuesdays 2 - 5pm

The first class will be held on Tuesday Sept 12, 2006.

Outline:

This course is an introduction to the stochastic models used in Actuarial Science at the interface of Finance. Students will be exposed to the basics of stochastic calculus, particularly focusing on Brownian motions and simple stochastic differential equations. The role that martingales play in pricing of derivative instruments will be investigated. Some exotic equity derivative products will be explored together with stochastic models for interest rate derivatives.

The course will cover most of chapters 18-25 of Mc Donald. Additional topics will be included based on class interest and time.

Class Notes / Lectures :

Please not that all Excel projects are for illustrative and educational purposes only!

Date Topic Chap. Class Videos Class Notes
12-09-06 Review of Arbitrage in Discrete Time 10; 11

Lecture1.mpg [28MB]
- the audio for the second half was mistakenly off.

Lecture1.pdf

14-09-06 Review of Arbitrage in Discrete Time cont'd 10; 11 Lecture2.mpg [15MB]

Lecture2.pdf

ExcelSheets.zip
[*see note below table]

19-09-06

American and Barrier Options in Discrete Time;
Continuous time limit of binomial model

11; 18 see below

Lecture3.pdf

  I have re-recorded lecture 3 to ellaborate on the topics covered;
Also, I have deferred the discussions based on the Excel Sheets for a later date.
 

Lecture3b.mpg
[48MB]

Lecture3b.pdf
26-09-06

Black-Scholes pricing using lognormal assumptions;
Monte-Carlo option valuation for a single stock

18; 19 Lecture4.mpg
[56MB]

Lecture4.pdf

MonteCarlo.xls

03-10-06 Black-Scholes Pricing;
Sketching value of options;
Monte-Carlo review;
Introduction to Jump models
19 Lecture5.mpg
[45MB]

Lecture5.pdf

Chooser.xls

Barrier.xls

10-10-06 Control Variates; Options on Correlated Assets; Simulating correlated Asset prices; Introduction to Brownian motion 19, 20

Lecture6.mpg
[69MB]

Lecture6.pdf
12-10-06 Tutorial Session - Tutorial.mpg Tutorial4.pdf
17-10-06 Term Test -
-
-
19-10-06 Reviewed solutions for the term test on Black-Board -
-
-
24-10-06 Brownian Motion; Intro to Stochastic Differential Equations; Ito processes; Ito's Lemma 20 Lecture7.mpg Lecture7.pdf
26-10-06 More on SDEs and Ito's Lemma 20 Lecture8.mpg Lecture8.pdf
31-10-06 Simulating SDEs; Ito's lemma applied to Ito processes; Intro to Martingales; Solving GBM and mean-reverting SDEs; 20

Lecture9.mpg
The 2nd hour was not recorded - sorry.

Lecture9.pdf
07-11-06 The Black-Scholes PDE; The Delta of an Option 21 Lecture10.mpg

Lecture10.pdf

HedgePaths.xls

Stochastic Calculus Summary

14-11-06 The two-dimensional Black-Scholes PDE; Options on two assets; Hedging in discrete time 21 Lecture11.mpg Lecture11.pdf
21-11-06 Foreign Exchange Options 22 Lecture12.mpg Lecture12.pdf
28-11-06 Foreign Stock Options; Interest rate Trees 22, 24 Lecture13.mpg Lecture13.pdf
05-12-06 Review  

Lecture14.mpg

Lecture14.pdf
14-12-06 Review / Tutorial   TutorialDec14.mpg TutorialDec14.pdf
18-12-06 Review / Tutorial   TutorialDec18.mpg TutorialDec18.pdf

*Here is the setup file for the Excel sheets for the binomial model, the trinomial model and a portfolio of basic options. This setup will create a new folder in your start menu called Tyrico, run the register.cmd file before opening any Excel sheet. You must have macros enabled (at a minimum set to medium security under Tools -> Macros -> Security). Also, you must have the .NET framework version 1.1 installed - a free download from Microsoft.

Problem Sets :

Problem sets will be handed out on a biweekly basis; however, only one or two questions will be graded. You are strongly encouraged to carry out the exercises in Mc Donald as preparation for the problem sets which will be more involved than those in the course text.

You can find student resources for the course text (solutions and more sample problems) from the publisher's student resource or the book resource.

Problem Set 1 - Problem Set 1 Solutions - PS1Q2.xls

Problem Set 2 - Problem Set 2 Solutions - PS2Q3.xls

Term Test Solutions - Term Test Grade Histogram

Problem Set 3 - Problem Set 3 Solutions

Problem Set 4 - Problem Set 4 Solutions

Textbook:

The required textbook for this course is

  • Derivatives Markets, R. L. Mc Donald, 2nd edition, Pearson / Addison-Wesley

You can find student resources for the course text (solutions and more sample problems) from the publisher's student resource or the book resource.

Grading Scheme:

The final grade for undergraduate students will be based on an exam ( 50% ), a term test ( 30% ), and problem sets ( 20% ):

 

Date

Mark

Exam

TBA

50%

Term Test

Oct 17

30%

Problem Sets

bi-weekly

20%

The final grade for graduate students will be based on an exam ( 30% ), a term test ( 30% ), problem sets ( 20% ) and a final project ( 20% ):

 

Date

Mark

Exam

TBA

30%

Term Test

Oct 17

30%

Problem Sets

bi-weekly

20%

Project TBA 20%

Tutorials:

Your TA is Georg Sigloch, a Ph.D. student in the Department of Mathematics. Georg is working on research problems in Mathematical Finance, specifically on indifference valuation for defaultable claims.

Office Hours:

The office hours are yet to be determined.