In-Class Material
These are the handouts distributed in print in class. Each one summarizes the material covered in that session and ends with practice problems.
| Class | Date | Material Covered |
|---|---|---|
| Class 1 | 10/20 | Probability spaces, random variables, linear combinations, joint and marginal distributions, conditioning and independence, conditional expectation, filtrations |
| Class 2 | 10/22 | Densities and distribution functions; uniform, exponential, gamma, normal, lognormal and bivariate normal distributions; heavy tails |
| Class 3 | 10/27 | Probability, moment and cumulant generating functions; sums, random sums and the Poisson limit; characteristic functions and the central limit theorem |
| Class 4 | 10/29 | The gambler’s problem: probability of winning and expected duration of the game, with fair and biased coins |
| Class 5 | 11/3 | Martingales, betting strategies, stopping times, the optional stopping theorem, ruin probabilities |
| Class 6 | 11/5 | Poisson processes: waiting times, martingales and quadratic variation, superposition and thinning, compound Poisson processes, credit spreads and insurance ruin |
| Class 7 | 11/10 | Brownian motion as the limit of random walks, its martingales, hitting a barrier, quadratic variation |
| Class 8 | 11/12 | Trading gains and the Itô integral, Itô processes, Itô’s formula |
| Class 9 | 11/17 | Correlated Brownian motions, Itô’s formula for two processes, Girsanov’s theorem |
| Class 10 | 11/19 | Geometric Brownian motion: solution, distribution and moments of the stock price, expected return and growth rate, functions of the stock price |
| Class 11 | 11/24 | Stochastic discount factors, dividends and the money-market account, the pricing equation in continuous time |
| Class 12 | 12/1 | The risk-neutral measure; bonds, futures and forwards; Black-Scholes formula and PDE; the Merton model; jumps, credit spreads and option pricing with jumps |
The normal distribution table is also distributed in class.