Statistical Methods for Financial Engineering

Name: Statistical Methods for Financial Engineering
Brand: Taylor & Francis
SKU: 9781032477497
Price: 4315.0 INR
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ISBN13: 9781032477497
Binding: Paperback
Subject: N/A
Publisher: Taylor & Francis
Publisher Imprint: CRC Press
Publication Date: January 21, 2023
Pages: 496
Original Price: GBP 50.99
Language: English
Edition: N/A
Item Weight: 746 grams
BISAC Subject(s): Finance / General and Probability & Statistics / General

About The Book

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, LÃ©vy 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(R) illustrate the application of the techniques to solve real-world financial problems. MATLAB and R programs are available on the author's website.

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