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21201730 Computational Finance in Finance and business LM-16 CESARONE FRANCESCO
(syllabus)
MODULE 1 1 A rapid introduction to MATLAB 1.1 MATLAB basics: Preliminary elements; Variable assignment; Workspace; Arithmetic operations; Vectors and matrices; Standard operations of linear algebra; Element-by-element multiplication and division; Colon (:) operator; Predefined function; inline Function; Anonymous Function. 1.2 M-file: Script and Function 1.3 Programming fundamentals: if, else, and elseif scheme; for loops; while loops 1.4 Matlab graphics 1.5 Preliminary exercises on programming 1.6 Exercises on the financial evaluation basics
MODULE 2 2 Preliminary elements on Probability Theory and Statistics 2.1 Random variables 2.2 Probability distributions 2.3 Continuous random variable 2.4 Higher-order moments and synthetic indices of a distribution 2.5 Some probability distributions: Uniform, Normal, Log-normal, Chi-square, Student-t 3 Linear and Non-linear Programming 3.1 Some Matlab built-in functions for optimization problems 3.2 Multi-objective optimization: Determining the efficient frontier 4 Portfolio Optimization 4.1 Portfolio of equities: Prices and returns 4.2 Risk-return analysis: Mean-Variance; Effects of the diversification in an Equally Weighted portfolio; Mean-MAD; Mean-MinMax; VaR; Mean-CVaR; Mean-Gini portfolios 4.3 Bond portfolio immunization
MODULE 3 5 Further elements on Probability Theory and Statistics 5.1 Introduction to the Monte Carlo simulation 5.2 Stochastic processes: Brownian motion; Ito’s Lemma; Geometrical Brownian motion 6 Pricing of derivatives with an underlying security 6.1 Binomial model (CRR): A replicating portfolio of stocks and bonds; Calibration of the model; Multi-period case 6.2 Black-Scholes model: Assumptions of the model; Pricing of a European call; Pricing equation for a call; Implied Volatility 6.3 Option Pricing with Monte Carlo Method: Solution in integral form; Path Dependent Derivatives
(reference books)
F Cesarone (2020), Computational Finance. MATLAB oriented modeling, Routledge-Giappichelli Studies in Business and Management, ISBN 978-0-367-49303-5 https://www.giappichelli.it/computational-finance
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