9783642172533-3642172539-Handbook of Computational Finance (Springer Handbooks of Computational Statistics)

Handbook of Computational Finance (Springer Handbooks of Computational Statistics)

ISBN-13: 9783642172533
ISBN-10: 3642172539
Edition: 2012
Author: James E. Gentle, Wolfgang Karl Härdle, Jin-Chuan Duan
Publication date: 2011
Publisher: Springer
Format: Hardcover 815 pages
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Book details

ISBN-13: 9783642172533
ISBN-10: 3642172539
Edition: 2012
Author: James E. Gentle, Wolfgang Karl Härdle, Jin-Chuan Duan
Publication date: 2011
Publisher: Springer
Format: Hardcover 815 pages

Summary

Handbook of Computational Finance (Springer Handbooks of Computational Statistics) (ISBN-13: 9783642172533 and ISBN-10: 3642172539), written by authors James E. Gentle, Wolfgang Karl Härdle, Jin-Chuan Duan, was published by Springer in 2011. With an overall rating of 4.3 stars, it's a notable title among other Econometrics & Statistics (Economics) books. You can easily purchase or rent Handbook of Computational Finance (Springer Handbooks of Computational Statistics) (Hardcover) from BooksRun, along with many other new and used Econometrics & Statistics books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

Any financial asset that is openly traded has a market price. Except for extreme market conditions, market price may be more or less than a “fair” value. Fair value is likely to be some complicated function of the current intrinsic value of tangible or intangible assets underlying the claim and our assessment of the characteristics of the underlying assets with respect to the expected rate of growth, future dividends, volatility, and other relevant market factors. Some of these factors that affect the price can be measured at the time of a transaction with reasonably high accuracy. Most factors, however, relate to expectations about the future and to subjective issues, such as current management, corporate policies and market environment, that could affect the future financial performance of the underlying assets. Models are thus needed to describe the stochastic factors and environment, and their implementations inevitably require computational finance tools.

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