Optimal Statistical Inference in Financial Engineering (Hardcover, New)

Until now, few systematic studies of optimal statistical inference for stochastic processes had existed in the financial engineering literature, even though this idea is fundamental to the field. Balancing statistical theory with data analysis, Optimal Statistical Inference in Financial Engineering examines how stochastic models can effectively describe actual financial data and illustrates how to properly estimate the proposed models. After explaining the elements of probability and statistical inference for independent observations, the book discusses the testing hypothesis and discriminant analysis for independent observations. It then explores stochastic processes, many famous time series models, their asymptotically optimal inference, and the problem of prediction, followed by a chapter on statistical financial engineering that addresses option pricing theory, the statistical estimation for portfolio coefficients, and value-at-risk (VaR) problems via residual empirical return processes. The final chapters present some models for interest rates and discount bonds, discuss their no-arbitrage pricing theory, investigate problems of credit rating, and illustrate the clustering of stock returns in both the New York and Tokyo Stock Exchanges. Basing results on a modern, unified optimal inference approach for various time series models, this reference underlines the importance of stochastic models in the area of financial engineering.

General

Imprint:	Chapman & Hall/CRC
Country of origin:	United States
Release date:	November 2007
First published:	November 2007
Authors:	Masanobu Taniguchi • Junichi Hirukawa • Kenichiro Tamaki
Dimensions:	234 x 156 x 27mm (L x W x T)
Format:	Hardcover
Pages:	384
Edition:	New
ISBN-13:	978-1-58488-591-7
Categories:	Books > Business & Economics > Finance & accounting > Finance > General Books > Money & Finance > General
LSN:	1-58488-591-2
Barcode:	9781584885917

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!