Math-580. Risk Management I:
Stocks
and Derivative Securities.
The teaching
material presented below may change from semester to semester.
Instructor: Professor Vladimir Rotar; Office GMCS-514, phone: 594 7244; e-mail: rotar@sciences.sdsu.edu or vrotar@euclid.ucsd.edu.
The course concerns financial markets, and deals, in particular,
with such notions as
·
Evolution of stock prices;
·
Prices for options, forwards, etc;
·
Trading or investment strategies involving options and other
securities.
The core of the course concerns some modern mathematical finance
models, but we
also talk a lot about “real situations”. In a certain sense, the course answers
the questions:
·
How can prices for stocks
change?
·
How to trade them in an optimal
way?
·
What can one do to stabilize
her/his profit?
The prerequisite is an ordinary calculus (not complicated,
but the student should be able, for example, to differentiate simple functions,
and to know what the number e is), and an introductory course of
Probability Theory (say, Stat-550 or Stat-551a are more than
enough).
The course is self-contained; in particular
Math-581, or Math-544 are NOT needed.
List of Topics.
1.
Introduction. Different types of random
assets.
2.
Underlying
assets and derivatives. Forwards and futures. Options. Other derivatives. Types
of traders.
3.
The
simplest static model. State prices, and non-arbitrage
pricing. Option prices.
4.
Futures
markets. Hedging using futures. Forward and futures prices.
5.
Options,
bounds on prices, put-call parity.
6.
Back
to basic notions: price and equilibrium. Random assets. What is price and
equilibrium in this case?
7.
Dominance
and arbitrage. State prices and arbitrage. Risk-neutral pricing.
8.
Binomial
trees, risk-neutral evaluation in this case.
9.
The
notion of martingale. Martingale transformation. Fair game. Back to pricing for
the binomial tree.
10.
Brownian
motion. Geometrical Brownian motion.
11.
The
stock price process. Ito's lemma.
12.
The
Black-Scholes formula. Derivation based on the
arbitrage theorem.
13.
The
option price process. The PDE for the option price and its solution (again the
Black-Scholes formula).
14.
Some
variations of the Black-Scholes formula.
15.
Trading:
spreads and combinations.
16.
Interest
rate derivatives and models of the yield curve.
17.
Some
notions of the management of market risk. Alternative models.
References:
1.
Hull,
John C. Options, Futures and Other
Derivatives. 6th
edition, 2006, Prentice-Hall.
2.
Financial
Economics, Ed. Panjer, 1998, The Actuarial
Foundation.
1.
Stampfli J.,
Goodman V. The Mathematic of Finance: Modelling and Hedging, 2001. Books/Cole.
2.
Ingersol,
J.E. Theory of Financial Decision
Making, 1987, Rowman & Littlefield Publishers.
3.
Duffie, D. Asset
pricing theory. 1992,
Princeton:Princeton Univ.Press.