Logo - springer
Slogan - springer

Statistics - Business, Economics & Finance | Handbook of Computational Finance

Handbook of Computational Finance

Duan, Jin-Chuan, Härdle, Wolfgang Karl, Gentle, James E. (Eds.)

2012, XI, 804 p. 189 illus., 7 illus. in color.

Available Formats:
eBook
Information

Springer eBooks may be purchased by end-customers only and are sold without copy protection (DRM free). Instead, all eBooks include personalized watermarks. This means you can read the Springer eBooks across numerous devices such as Laptops, eReaders, and tablets.

You can pay for Springer eBooks with Visa, Mastercard, American Express or Paypal.

After the purchase you can directly download the eBook file or read it online in our Springer eBook Reader. Furthermore your eBook will be stored in your MySpringer account. So you can always re-download your eBooks.

 
$279.00

(net) price for USA

ISBN 978-3-642-17254-0

digitally watermarked, no DRM

Included Format: PDF and EPUB

download immediately after purchase


learn more about Springer eBooks

add to marked items

Hardcover
Information

Hardcover version

You can pay for Springer Books with Visa, Mastercard, American Express or Paypal.

Standard shipping is free of charge for individual customers.

 
$359.00

(net) price for USA

ISBN 978-3-642-17253-3

free shipping for individuals worldwide

usually dispatched within 3 to 5 business days


add to marked items

  • Latest volume in the Springer Handbooks of Computational Statistics series
  • Addresses the broad application of computational statistics to the world of finance
  • Covers Modern financial Tools; Computational efficient algorithms; Pricing of complex products; Risk behavior; Pricing kernels and more

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.

Content Level » Graduate

Keywords » Computational Finance - Computational Statistics - Efficient Numerics - Financial Engineering - Price Calibration

Related subjects » Business, Economics & Finance - Computational Science & Engineering - Finance & Banking

Table of contents 

Introduction.- Pricing Models.- Statistical Inference in Financial Models.- Computational Methods.- Software Tools.- Possible further Topics: Realized Volatility/High Frequency Data.-Microstructure Empirical Analysis.- Option Pricing.- GARCH and Diffusion Jump Limits.- Interest Rate Derivatives.

Popular Content within this publication 

 

Articles

Read this Book on Springerlink

Services for this book

New Book Alert

Get alerted on new Springer publications in the subject area of Statistics for Business, Economics, Mathematical Finance, Insurance.