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MMF1928F / STA 2503F: Pricing Theory / Applied Probability for Mathematical Finance

发布时间:2022-09-25

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MMF1928F / STA 2503F:

Pricing Theory / Applied Probability for Mathematical Finance

OUTLINE:

This course focuses on stochastic analysis and financial theory as it applies to 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 tentative topics covered in this course include, but are not limited to:

Arbitrage Strategies and replicating portfolios Multi‐ period model (Cox, Ross, Rubenstein) European, Barrier, and American options Change of Measure and Numeraire assets

2. Continuous Time Limit

Random walks and Brownian motion

Geometric Brownian motion

Black‐Scholes pricing formula

Martingales and measure change

3. Equity derivatives

Puts, Calls, and other European options in Black‐

Scholes

American contingent claims

Barriers, Look‐ Back, and Asian options

4. The Greeks and Hedging

Delta, Gamma, Vega, Theta, and Rho

Delta and Gamma neutral hedging

Time based and move‐ based hedging

5. Interest rate derivatives

Short rate and forward rate models

Bond options, caps, floors, swaptions

6. Foreign Exchange models Cross currency options Quantos

Spot and forward price models

7. Stochastic Volatility Models

The Heston model

Volatility options

TEXTBOOKS:

The following are recommended (but not required) textbooks for this course: Stochastic Calculusfor Finance II : Continuous Time Models, Steven Shreve, Springer Options, Futures and Other Derivatives, John Hull, Princeton Hall

Two additional books that you may find useful are:

Arbitrage Theory in Continuous Time, Tomas Bjork, Oxford University Press Financial Calculus: An Introduction to Derivative Pricing, Martin Baxter and Andrew Rennie

In addition, you will receive a pdf booklet consisting of notes for the course. This is for your own consumption and is not to be distributed outside of this class.

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Quizzes are written tests that assess basic knowledge of the material they are typically 30 minutes long and will be conducted at the start (4:10 pm sharp) of tutorials. They will occur approximately every two weeks.

Projects are real world inspired problems that are based on the theory. They will be handed out approximately once every 4 weeks. You will be required to understand the theory, formulate an approach to the problem,              implement the numerics in matlab, R, or Python, interpret the results, and write‐ up a short report. Reports are not simply a printout of the numerical results, or bullet point answers, but should be a formalized report (written in      proper academic English) containing an abstract, introduction, model setup, methodology/theory, and                       discussion/interpretation of results. Pay close attention to how well the results are presented both verbally and      graphically this will form part of the assessment of your work.

I strongly suggest you use LaTeX for preparing your reports, however, word processors such as Microsoft Word are acceptable. In either case, documents are to be converted to PDF before uploading to the course website.

The exam is a 4‐ hour written test assessing deeper knowledge of the material. The exact date of the exam will be  scheduled later but it will fall within the usual exam period. Do NOT book your holiday flights until all your exams dates are confirmed.

MISSED QUIZZES / EXAM / LATE PROJECT POLICY:

In case of a missed quiz, you will be allowed to sit a 15‐ minute verbal makeup quiz on the missed material.

In case of a missed exam, you will be allowed to sit a 90‐ minute verbal makeup examination covering the content of the course tested on the written exam.

Late projects will be penalized 10% of the maximum grade for every part of a 24 hour period that it is late.

TUTORIALS:

Your TA is Steven Campbell, a Ph.D. candidate in the Department of Statistical Sciences focusing on research in  Financial Mathematics. Tutorials will consist of the TA going through examples and answering questions on class content, and, when there is a quiz scheduled, the quiz will be conducted during the first part of the tutorial.

OFFICE HOURS:

Office hours will be held on Tuesday’s at a time to be decided on the first lecture.