Computational Finance. MATLAB oriented modeling
Actualizado 7 Feb 2020
The book contains more than 100 examples and exercises, together with MATLAB codes providing the solution for each of them. The road map of the book is as follows. Chapter 1 is devoted to an introduction to the MATLAB language and development environment, for programming, numerical calculation and visualization applied to simple calculus and financial problems. Chapter 2 introduces basic concepts in probability and statistics, simplifying as much as possible the discussion. Chapter 3 deals with the main constrained optimization models, mainly focusing on recognizing the type of problems treated, and how to implement and solve them in MATLAB. In Chapter 4 we address Portfolio Optimization, providing several portfolio selection models mainly based on risk-gain analysis. Chapter 5 presents some probabilistic tools which are used in Chapter 6 for describing three methodologies to price derivatives.
Francesco Cesarone (2023). Computational Finance. MATLAB oriented modeling (https://www.mathworks.com/matlabcentral/fileexchange/73917-computational-finance-matlab-oriented-modeling), MATLAB Central File Exchange. Recuperado .
Francesco 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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