Plan for the next 2.25 days:
1) PDEs:
a) Classical analytic methods, esp. as applied to heat equation. Free boundary conditions. Fundamental solutions. Tie in with BSM PDE.
b) Numerical methods, esp. FD (crank-nicholson and upwind differencing)
2) Numerical matrix algebra (LU decomp, SVD, Cholesky decomp)
3) Stochastic processes, Ito calculus, Kolmogorov equation/Feynman-Kac formula. Application to BM and GBM
4) Monte Carlo methods. RNGs, importance sampling, antithetic variables, other variance reduction methods(?). Tie-in with Radon-Nikodym deriv. and Girsanov. Skim original paper on VEGAS. Markov chains (Gibbs sampling, Metropolis-Hastings algorithm). Current state of research on MC methods in options pricing.
5) Statistical methods. PCA, GARCH, EWMV etc.
6) Finance crap. Skim through Hull for definitions/conventions. CAPM, interest rate derivatives, yadda yadda.
7) C++. Skim Eckel for key points.
1) PDEs:
a) Classical analytic methods, esp. as applied to heat equation. Free boundary conditions. Fundamental solutions. Tie in with BSM PDE.
b) Numerical methods, esp. FD (crank-nicholson and upwind differencing)
2) Numerical matrix algebra (LU decomp, SVD, Cholesky decomp)
3) Stochastic processes, Ito calculus, Kolmogorov equation/Feynman-Kac formula. Application to BM and GBM
4) Monte Carlo methods. RNGs, importance sampling, antithetic variables, other variance reduction methods(?). Tie-in with Radon-Nikodym deriv. and Girsanov. Skim original paper on VEGAS. Markov chains (Gibbs sampling, Metropolis-Hastings algorithm). Current state of research on MC methods in options pricing.
5) Statistical methods. PCA, GARCH, EWMV etc.
6) Finance crap. Skim through Hull for definitions/conventions. CAPM, interest rate derivatives, yadda yadda.
7) C++. Skim Eckel for key points.
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