S. Jaimungal
Department of Statistics and Mathematical Finance Program, University of Toronto

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ARCHIVE [ 2006-2007]
MMF1952Y / STA 2503F – Pricing Theory / Applied Probability for Mathematical Finance

Class Photo:

Important:

This course is restricted and enrollment is limited. FYI: STA2502 is open.

If you would like to obtain a DVD of the course lectures, notes, problem sets and excel files, (together with those from STA 2502) please contact me.

Class Notes / Lectures :

Date Topic Class Video Class Notes
14-09-06 Discrete Time Modeling: Arbitrage; Contingent Claim Valuation; Introduction to Numeraire and Measure Changes. Lecture1.mpg
[56MB]
Lecture1.pdf
21-09-06 Numeraire changes, Continuous time limit of Binomial model Lecture2.mpg
[53MB]
Lecture2.pdf
28-09-06 Barrier and American Options

Lecture3.mpg
[29MB]

Lecture3.pdf

ExcelSheets.zip*

02-10-06 Review of the CRR infinite time limit

Lecture3-R.mpg
[59MB]

Lecture3-R.pdf
05-10-06 Black-Scholes Pricing for European Options; Simple Numeraire Change; Joint Probabilities; Monte Carlo Simulation
Lecture4.mpg
[69MB]
Lecture4.pdf
12-10-06 Brownian motion; Stochastic Integrals; Ito's Lemma Lecture5.mpg Lecture5.pdf
19-10-06 Multidimensional Brownian motions; Multidimensional Ito's Lemma Lecture6.mpg Lecture6.pdf
20-10-06 Tutorial on Multidimensional Ito's Lemma; Solving SDEs Tutorial.mpg Tutorial.pdf
26-10-06 The Black-Scholes PDE, Feynman-Kac formulae Lecture7.mpg Lecture7.pdf
02-11-06 Martingale perspectives on the Black-Scholes PDE Lecture8.mpg Lecture8.pdf
09-11-06 Implementing Dynamic Hedging; Multi-Dimensional Black-Scholes Lecture9.mpg Lecture9.pdf
16-11-06 Measure changes induced by numeraire assets Lecture10.mpg Lecture10.pdf
23-11-06 Stochastic Interest Rate modeling Did not record properly Lecture11.pdf
30-11-06 Stochastic Interest Rate modeling Lecture12.mpg Lecture12.pdf
04-12-06 Review Session ReviewDec04.mpg ReviewDec04.pdf
07-12-06 Options in a Stochastic Interest Rate environment Lecture13.mpg Lecture13.pdf
08-12-06 Review Dec8Review.mpg Dec8Review.pdf
26-04-07 Credit Derivatives Overview; Defaultable Bonds and Stock Intro Lecture14.mpg

Lecture14.pdf

03-05-07 Credit Default Swaps; Calibrating Hazard Rates Lecture15.mpg Lecture15.pdf
10-05-07 Doubly Stochastic Poisson Processes; Stochastic Interest Rate and Hazard Rates; CDS revisted Lecture16.mpg Lecture16.pdf
17-05-07 Review; Copulas and CDOs

Lecture17.mpg

Lecture17.pdf
CDOannotated.pdf
24-05-07 Guest Lecture on Electricity Modeling    
31-05-07 Black Model for Caps/Floos and Swaptions; HJM and BGM models intro; LFM and LSM Lecture19.mpg Lecture19.pdf
7-06-07 Simulating LFM to value swaptions Lecture20.mpg Lecture20.pdf
14-06-07 Beyond Black-Scholes; Volatility Surfaces; and Jump-Diffusion Models Lecture21.mpg Lecture21.pdf
21-06-07 Heston Model; Mixing Method; Review

Lecture22a.mpg

Lecture22b.mpg

Lecture22.pdf

Stochastic Calculus Overview

Arbitrage Theory in Discrete Time

The Black-Scholes Model : I

Credit Derivatives Overview

Risky Bonds

Credit Default Swaps and Collaterized Debt Obligations

HJM and BGM Models

*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.

To view these note you may need to download the free Adobe Acrobat Reader from this link

 

Outline:

This course features studies in derivative pricing theory. The course is broken into two half courses.

The first half focuses on building basic financial theory and their applications to various derivative products. A working knowledge of basic probability theory, stochastic calculus, knowledge of ordinary and partial differential equations and familiarity with the basic financial instruments is assumed. The topics covered in this course include, but are not limited to: fixed income products; forwards and futures; binomial pricing model; the Black-Scholes model; the Greeks and hedging; European, American, Asian, barrier and other path-dependent options; short rate models and interest rate derivatives; convertible bonds.

The second half uses the knowledge base built in the fall term and adds more advanced theory and applications. The topics include, but are not limited to: LFM and LSM market models; foreign exchange options; defaultable bonds; credit default swaps, equity default swaps and collateralized debt obligations; intensity and structural based models; jump processes and stochastic volatility.

Here is a list of topics covered in both halves:

Fixed Income Instruments

  • Term structure of interest rates
  • Coupon bearing bonds
  • Bootstrapping
  • Interest rate swaps

Forwards and Futures

  • Equity, Commodity, Fixed-income and Foreign currency forwards
  • Relationship between forwards and futures

Binomial Model

  • Arbitrage Strategies
  • Replicating Portfolios
  • Multi-period model ( Cox, Ross, Rubenstein )
  • European, Barrier and American options
  • Change of Measure

Continuous Time Limit

  • Random walks and Brownian motion
  • Geometric Brownian motion
  • Black-Scholes pricing formula
  • Martingales and measure change

Equity derivatives

  • Puts, Calls,  and other European options in Black-Scholes
  • American contingent claims
  • Barriers, Look-Back and Asian options

The Greeks and Hedging

  • Delta, Gamma, Vega, Theta, and Rho
  • Delta and Gamma neutral hedging

Interest rate derivatives

  • Short rate and forward rate models
  • Bond options, caps, floors, swap options
  • Heath-Jarrow-Morton framework
  • Brace-Gatarek-Musiela Jamshidian models
  • Log-normal Forward and Swap rate models

Defaultable Securities

  • Intensity Based Approach
  • Structural Approach
  • Correlation Modeling: correlated intensities and copulas

Credit Derivatives

  • Credit Default Swaps:
  • Collateralized Debt Obligations
  • Equity Default Swaps
  • Credit Linked Notes

Implied Volatility Matching

  • Local and Implied Volatility modeling
  • Stochastic volatility models
  • Jump models

 

Textbook:

The following are recommended (but not required) text books for this course.

  • Options, Futures and Other Derivatives , John Hull, Princeton Hall
  • The Concepts and Practice of Mathematical Finance, Mark Joshi, Cambridge University Press
  • Stochastic Calculus for Finance II : Continuos Time Models, Steven Shreve, Springer
  • Financial Calculus: An Introduction to Derivative Pricing , Martin Baxter and Andrew Rennie

Grading Scheme:

The final grade for this course will be based on two exams (27.5% each), problem sets (25%), quizzes (15%) and in-class participation (5% total). Participation means actively providing comments, and answering questions intelligently throughout the year.

 

Date

Mark

Exam 1

TBA

27.5%

Exam 2

TBA

27.5%

Problem Sets

bi-weekly

25%

Quizzes

bi-weekly

15%

Participation

weekly

5%

Tutorials:

Your TA is Samuel Hikspoors, a Ph.D. student in the Department of Statistics. Samuel is working on research problems in Mathematical Finance, specifically on commodity modeling and energy derivatives There will be weekly tutorials – the location and times are still to be announced.

Office Hours:

I will not have regularly scheduled office hours. Instead, contact me and arrange an appointment. I will of course linger after and before class for questions.