Maurizio Taiuti

Computational Finance: MATLAB(R) Oriented Modeling by Francesco Cesarone (Englis

Description: Computational Finance by Francesco Cesarone The theoretical aspects of the book are based on an essential introduction to the building blocks of the two topics under consideration: mathematical programming and stochastic processes. It also includes a primer on MATLAB, as a tool to help students, scholars and practitioners use the concepts in the book. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description Computational finance is increasingly important in the financial industry, as a necessary instrument for applying theoretical models to real-world challenges. Indeed, many models used in practice involve complex mathematical problems, for which an exact or a closed-form solution is not available. Consequently, we need to rely on computational techniques and specific numerical algorithms. This book combines theoretical concepts with practical implementation. Furthermore, the numerical solution of models is exploited, both to enhance the understanding of some mathematical and statistical notions, and to acquire sound programming skills in MATLAB®, which is useful for several other programming languages also. The material assumes the reader has a relatively limited knowledge of mathematics, probability, and statistics. Hence, the book contains a short description of the fundamental tools needed to address the two main fields of quantitative finance: portfolio selection and derivatives pricing. Both fields are developed here, with a particular emphasis on portfolio selection, where the author includes an overview of recent approaches. The book gradually takes the reader from a basic to medium level of expertise by using examples and exercises to simplify the understanding of complex models in finance, giving them the ability to place financial models in a computational setting. The book is ideal for courses focusing on quantitative finance, asset management, mathematical methods for economics and finance, investment banking, and corporate finance. Author Biography Francesco Cesarone is an Assistant Professor of Computational Finance at the Department of Business Studies of the Roma Tre University, Italy. Table of Contents Part I: Programming techniques for financial calculus 1. An introduction to MATLAB with applications Part II: Portfolio Selection 2. Preliminary elements in Probability Theory and Statistics 3. Linear and Non-linear Programming 4. Portfolio Optimization Part III: Derivatives pricing 5. Further elements on Probability Theory and Statistics 6. Pricing of derivatives with an underlying security Details ISBN0367492938 Author Francesco Cesarone Publisher Taylor & Francis Ltd Year 2020 ISBN-10 0367492938 ISBN-13 9780367492939 Language English Format Paperback Pages 236 Short Title Computational Finance Imprint Routledge DEWEY 332.015195 Publication Date 2020-08-05 Subtitle MATLAB® Oriented Modeling UK Release Date 2020-08-05 Place of Publication London Country of Publication United Kingdom AU Release Date 2020-08-05 NZ Release Date 2020-08-05 Illustrations 7 Tables, black and white; 59 Line drawings, black and white; 59 Illustrations, black and white Series Routledge-Giappichelli Studies in Business and Management Alternative 9780367493035 Audience Tertiary & Higher Education We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:139818370;

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Computational Finance: MATLAB(R) Oriented Modeling by Francesco Cesarone (Englis

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ISBN-13: 9780367492939

Book Title: Computational Finance

Item Height: 246 mm

Item Width: 174 mm

Author: Francesco Cesarone

Publication Name: Computational Finance: Matlab (R) Oriented Modeling

Format: Paperback

Language: English

Publisher: Taylor & Francis Ltd

Subject: Economics, Accounting, Mathematics

Publication Year: 2020

Type: Textbook

Item Weight: 399 g

Number of Pages: 236 Pages

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