Stochastic Calculus & Derivative Pricing Theory
F1 Probability Foundations
The formal setting. Probability space, sigma-algebra, measure and expectation.
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State Price Density
Topic 02Risk-Neutral Probability
F2 Stochastic Processes and Jumps
Randomness through time. Martingale, filtration, stopping time, Markov, and jumps.
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Brownian Motion
Topic 02Geometric Brownian Motion
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Quadratic Variation
Topic 02Ordinary Variation
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Markov Process
Topic 02Martingale: Two Different Promises
F3 Ito Calculus
Integrating against randomness, and why ordinary calculus fails.
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The Ito Integral
Topic 02the Riemann Integral: Where They Part
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Ito Calculus
Topic 02Ordinary Calculus: What Changes and Why
F4 Stochastic Differential Equations
Modelling change with a random term. Drift, diffusion, solutions and discretisation.
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Stochastic Differential Equation
Topic 02Ordinary Differential Equation
F5 Pricing Theory and No-Arbitrage
The argument. No-arbitrage, the fundamental theorems, measure change and the pricing kernel.
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Replication
Topic 02Hedging: An Argument and an Activity
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Complete Market
Topic 02Incomplete Market: One Price or a Range
F6 Option Pricing Theory
The canonical application. Black-Scholes, the binomial model, delta hedging and boundaries.
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European and American Options: Why Early Exercise Changes Everything
F7 Volatility Models
Relaxing the constant volatility assumption. Local, stochastic, Heston, SABR.
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Vasicek Model
Topic 02CIR Model: Two Ways to Hold a Rate
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Volatility Smile
Topic 02Skew
Topic 03Surface: Reading the Shape
F8 Interest Rate Models
Why rates need their own models. Mean reversion, short rate, the discount curve.
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Short-Rate Model
Topic 02Market Model: What Each Takes as Given
