Autumn
2003
Professor
Paul Feehan
Course
Outline
Mathematical
tools | Derivatives
and the Black-Scholes model | Numerical
methods | Interest rate models
|
Course
Home
The first part of the course
will focus primarily on required mathematical tools, though we shall draw our
examples from finance:
1.
Introduction to
probability theory, random variables, and stochastic processes.
2.
Stochastic
processes, Markov processes, Poisson process, Brownian motion
3.
Measure theory,
martingales, Itô integral, Itô formula,
martingale representation theorem
4.
Stochastic
differential equations
5.
Girsanov’s
theorem
6.
Stopping times,
first passage times, optimal stopping
References:
·
Baxter &
Rennie
·
Karlin &
Taylor I
·
Karatzas &
Shreve
·
Øksendal
·
Papoulis
·
Shreve
B.
Derivatives and the Black-Scholes model
The second part of the course
comprises an introduction to the basic ideas of mathematical finance, with extensions
and applications of the theory we developed in Part A.
1.
Black-Scholes
model, hedging, arbitrage
2.
Black-Scholes
formulae for European calls and puts
3.
Formulae for the
“Greeks”
4.
Early exercise
and American options
5.
Path dependent
options: Barrier, Asian, and lookback
options
6.
Extending the
Black-Scholes model
7.
Stochastic
volatility
8.
Jump diffusion
processes
9.
Portfolio
insurance
References:
·
Wilmott
·
·
Baxter &
Rennie
The third part of the course
comprises an introduction to numerical methods for solving the stochastic
differential equations and models introduced in Part B.
1.
Finite difference
methods
2.
References:
·
Wilmott
·
·
Clewlow &
Strickland
·
Research papers
The last part of the course
comprises an introduction to interest-rate models, subject to availability of
time.
1.
Fixed-income
instruments
2.
Interest rate
modeling
3.
Hull & White
model
4.
Heath, Jarrow
& Morton model
References:
·
Wilmott
·
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