University of Connecticut

Advanced Financial Mathematics

Math 324

Spring 2007

 

Classes:W: 2:05 – 2:50 MSB307                        Instructor: James G. Bridgeman, FSA

                F:  1:00 – 2:45 TLS 301                         MSB408

Office Hours: M 10:00 – 11:00,1:00-2:00          860-486-8382                        

                       Th  10:00 –12:00,2:00-3:00            bridgeman@math.uconn.edu

                         F  10:00 –11:00               websites: instructor’s math.uconn.edu/~bridgeman

                       Or by appointment                      course: math.uconn.edu/~bridgeman/math324s07/index.html

 

Context for the Course

Required for the Professional Master’s degree in Applied Financial Mathematics; contains material relevant for SOA exams MFE and C

 

Specific Course Content

The Standard Models for Pricing and Replicating Financial Instruments (such as Derivatives) Presented Within the Context of the Theory of Continuous Stochastic Processes and Stochastic Calculus

 

Required Texts

Steven Shreve, Stochastic Calculus for Finance II

Note errata posted at www.math.cmu.edu/users/shreve/ErrataVolIISep06.pdf; and www.math.cmu.edu/users/shreve/ErrataVolIINov06.pdf

 

Supplemental Material (not required)

Richard Bass, The Basics of Financial Mathematics (highly recommended)

www.math.uconn.edu/~bass/finlmath.pdf

Alison Etheridge, A Course in Financial Calculus

Steven Shreve, Stochastic Calculus for Finance I

Ho & Lee, The Oxford Guide to Financial Modeling

R. McDonald, Derivatives Markets (2nd Ed.)

 

Grading

Take-home Tests                 30%

Paper/Project                        35%

Final Exam                             35%

 

Both the syllabus and the grading plan are subject to change with appropriate advance notice to the class.


 

 

 

Outline & Intended Pace

 

Week of

Topic(s)

Text Sections

  Jan. 15

Review of Probability

ch. 1

Jan. 22

Conditioning

ch. 2

Jan. 29

Random Walk and Brownian Motion

Sec. 3.1-3.5

Feb. 5

Brownian Motion; Stochastic Calculus: Itô Integral

Sec. 3.6-3.8, 4.1-4.3

Feb. 12

 Itô’s Lemma; Black–Scholes Equation

Sec.4.4-4.5.3

Feb. 19

Solution and Properties of Black–Scholes Equation; Multivariate Stochastic Calculus 

Sec. 4.5.4-4.6, 4.8

Feb. 26

Risk-Neutral Measure: Girsanov’s Theorem, Martingale Representation Theorem, Hedging

Sec. 5.1-5.3

March 12

Fundamental Theorem of Asset Pricing: existence and uniqueness of Risk Neutral Measure

Sec. 5.4

March 19

Basic Applications to Financial Assets

Sec. 5.5-5.7

March 26

Connection With Partial Differential Equations

Sec. 6.1-6.5

April 2

Further Topics For Applying the Model

TBD from Ch. 7-10

April 9

Further Topics For Applying the Model

TBD

April 16

Further Topics For Applying the Model

TBD

April 23

Further Topics For Applying the Model

TBD

 

Final Exam TBD week of Apr 30 to May 5

All

 

 

Homework

 

To master the material and be prepared for the final exam you should expect to do most of the exercises in the textbook as part of your studying each chapter.  Specific exercises will be assigned and they are fair game for the final exam.  These will not be collected and graded so it’s up to you to ask questions about the ones you don’t feel comfortable with.

 

Take Home Tests

 

There will be two or three take home tests given and graded over the course of the semester, at about the level of difficulty of the text exercises and sometimes drawn directly from the text exercises. 

 

Paper/Project

 

You will be expected to produce a term paper or a modeling project, due by April 30.  This can be a topic that you select from the parts of the text that we don’t cover or one that goes beyond the level at which we do cover something.  If you can’t come up with a topic that interests you, one will be assigned.

 

 

Both the syllabus and the grading plan are subject to change with appropriate advance notice to the class.