Abstract

These are the lecture notes for an advanced Ph.D. level course I taught in Spring'02 at the C.N. Yang Institute for Theoretical Physics at Stony Brook. The course primarily focused on an introduction to stochastic calculus and derivative pricing with various stochastic computations recast in the language of path integral, which is used in theoretical physics, hence "Phynance". I also included several "quiz" problems (with solutions) comprised of (pre-)interview questions quantitative finance job candidates were sometimes asked back in those days. The course to a certain extent follows an excellent book "Financial Calculus: An Introduction to Derivative Pricing" by M. Baxter and A. Rennie.

Highlights

  • How Does “Bookie the Crookie” Make Money?When odds are quoted in the form “n − m against”, it means that the event has probability m/(n + m), and a successful bet of $m is rewarded with $n.when the odds are quoted in the form “n − m on”, it is the same as “m − n against”.Suppose we have two horses, with the true odds n − m against the first horse

  • While if the second horse wins, the bookmaker makes a net profit of m

  • Stock and bond markets as any other free market generally are expected to operate in this way – buyers drive stock prices up, while sellers drive them down. This simple principle does work in the financial markets, but what determines the supply and demand for a given financial instrument is quite nontrivial and is often times dictated by certain important details of how these markets are structured, which set the rules of the game

Read more

Summary

Introduction

When odds are quoted in the form “n − m against”, it means that the event has probability m/(n + m), and a successful bet of $m is rewarded with $n (plus the stake returned). Stock and bond markets as any other free market generally are expected to operate in this way – buyers drive stock prices up, while sellers drive them down This simple principle does work in the financial markets, but what determines the supply and demand for a given financial instrument is quite nontrivial and is often times dictated by certain important details of how these markets are structured, which set the rules of the game. The board of directors, which is expected to act in the interests of at least most shareholders (after all, it was elected by the majority of shareholders’ votes), in this case is likely to decide that the corporation should buy back some of the outstanding shares in the open market, which will result in an increase in the stock price. There is a fine line between regulation and overregulation; it’s a balancing act

Arbitrage Pricing
Binomial Tree Model
Risk-neutral Measure
An Example
Martingales
The Tower Law
Martingale Measure
Binomial Representation Theorem
Self-financing Hedging Strategies
The Self-financing Property
Brownian Motion
Stochastic Calculus
Ito Calculus
Radon-Nikodym Process
Path Integral
Cameron-Martin-Girsanov Theorem
Continuous Martingales
Driftlessness
Martingale Representation Theorem
10 Continuous Hedging
10.1 Change of Measure in the General One-Stock Model
10.2 Terminal Value Pricing
10.3 A Different Formulation
10.4 An Instructive Example
10.5 The Heat Kernel Method
11 European Options
12 The Black-Scholes Model
12.1 Call Option
13 Hedging in the Black-Scholes Model
13.1 Call Option
13.2 Put Option
13.3 Binary Option
14.1 Call Option c
14.2 Put Option
14.3 Binary Option
14.4 American Options
15 Upper and Lower Bounds on Option Prices
15.1 Early Exercise
16 Equities and Dividends
16.1 An Example
16.2 Periodic Dividends
17 Multiple Stock Models
17.1 The Degenerate Case
17.2 Arbitrage-free Complete Models
18 Numeraires
18.1 Change of Numeraire
19 Foreign Exchange
20 The Interest Rate Market
20.2 Multi-factor HJM Models
21 Short-rate Models
21.1 The Ho and Lee Model
21.3 The Cox-Ingersoll-Ross Model
22 Interest Rate Products
22.1 Forward Measures
22.2 Multiple Payment Contracts
22.3 Bonds with Coupons
22.4 Floating Rate Bonds
22.6 Bond Options
22.7 Bond Options in the Vasicek Model
22.8 Options on Coupon Bonds
22.9 Caps and Floors
22.10 Swaptions
23 The General Multi-factor Log-Normal Model
24 Foreign Currency Interest-rate Models
25 Quantos
25.1 A Forward Quanto Contract
Findings
26 Optimal Hedge Ratio
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call