Name: statistical methods for financial engineering (en Inglés)
Price: 2430.16 MXN
Availability: InStock
Author: Remillard, Bruno
ISBN: 9781439856949

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portada statistical methods for financial engineering (en Inglés)

Formato

Libro Físico

Autor

Bruno Remillard

Editorial

CRC Press

Año

2013

Idioma

Inglés

N° páginas

496

Encuadernación

Tapa Dura

Dimensiones

23.4 x 15.5 x 2.8 cm

Peso

0.82 kg.

ISBN

143985694x

ISBN13

9781439856949

Categorías

Finanzas
Probabilidad y estadística

statistical methods for financial engineering (en Inglés)

Bruno Remillard (Autor) · CRC Press · Tapa Dura

Libro Físico

$ 2,430.16

$ 4,860.32

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Origen: Reino Unido (Costos de importación incluídos en el precio)

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Reseña del libro "statistical methods for financial engineering (en Inglés)"

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