Statistical Methods for Financial Engineering

Bruno Remillard

ISBN 10: 1032477490 / ISBN 13: 9781032477497

Published by Taylor & Francis Ltd, 2023

About this Item

Statistical Methods for Financial Engineering | Bruno Remillard | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2023 | Taylor & Francis Ltd | EAN 9781032477497 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.

Seller Inventory # 133075660

Bibliographic Details

• Title: Statistical Methods for Financial Engineering
• Publisher: Taylor & Francis Ltd
• Publication Date: 2023
• Language: English
• ISBN 10: 1032477490
• ISBN 13: 9781032477497
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 234W x 156H x 25D millimeters 234 millimeters width by 156 millimeters height by 25 millimeters depth
• Weight: 692 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

While many financial engineering books are available, the statistical aspects behind the implementation of stochastic models used in the field are often overlooked or restricted to a few well-known cases. Statistical Methods for Financial Engineering guides current and future practitioners on implementing the most useful stochastic models used in financial engineering.

After introducing properties of univariate and multivariate models for asset dynamics as well as estimation techniques, the book discusses limits of the Black-Scholes model, statistical tests to verify some of its assumptions, and the challenges of dynamic hedging in discrete time. It then covers the estimation of risk and performance measures, the foundations of spot interest rate modeling, Lévy processes and their financial applications, the properties and parameter estimation of GARCH models, and the importance of dependence models in hedge fund replication and other applications. It concludes with the topic of filtering and its financial applications.

This self-contained book offers a basic presentation of stochastic models and addresses issues related to their implementation in the financial industry. Each chapter introduces powerful and practical statistical tools necessary to implement the models. The author not only shows how to estimate parameters efficiently, but he also demonstrates, whenever possible, how to test the validity of the proposed models. Throughout the text, examples using MATLAB® illustrate the application of the techniques to solve real-world financial problems. MATLAB and R programs are available on the author’s website.

About the Author

Bruno Remillard