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Jan R. M. Röman Department of Mathematics and Physics Mälardalen University, SwedenThis lecture notes was used the first time in the course Analytical Finance I at themaster program, Analytical Finance at Mälardalen University 2004. The aim is to cover most essential parts of probability theory and the stochastic processes needed to study arbitrage theory in continuous time. First we will give a short introduction to pricing via arbitrage and the central limit theorem. Then a number of different binomial models are discussed. Binomial models are important, both for the understanding and since they are widely used to calculate the price and Greeks for a number of different derivatives. The reason is that they are general and can handle all kinds of derivatives, e.g., European, Bermudan and American options. We also discuss the numerical approach of the binomial models, finite element methods and Monte-Carlo simulations. Then, an introduction to probability theory and stochastic integration is given. After this introduction we are ready to study partial differential equations and the solution of the Black-Scholes equation. A number of generalizations to Black-Scholes are given, such as stochastic volatility and time dependent parameters. We also discuss a number of analytical approximations for American options and why we can't use Black-Scholes PDE on American options with early exercise. A short introduction to Poisson processes is also given. Then we study diffusion processes, Martingale representation and Girsanov theorem. Before we end up with a general guide to pricing via Black-Scholes we give an introduction to exotic options wheatear derivatives and volatility models. This course is followed by Analytical Finance II where we will go into the fix income market where the interest rates and bond prices are given by stochastic processes. |
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