Binding: Paperback
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.
Title: Computational Finance Matlab Oriented Modeling
Author(s): Cesarone Francesco
Publisher: Taylor & Francis Ltd
Barcode: 9780367492939
Pages: 236 Pages, 7 Tables, Black And White; 59 Line Drawings, Black And White; 59 Illustrations, Black And
Publication Date: 8/5/2020
Series: Routledge-Giappichelli Studies in Business and Management
Category: Applied Mathematics