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Applied Quantitative Finance

W.Härdle, T. Kleinow & G. Stahl (Eds.)

Springer Finance

Applied Quantitative Finance is a collection of articles that deal with various topics in quantitative finance. Those can be roughly grouped into four clusters: Value-at-Risk, Credit Risk, Implied Volatility and Econometrics. The reader will enjoy the fact that in each article the exposition of the methodology is accompanied by one or more practical examples with real-world financial data.

Most of the methods and examples presented in the book have been implemented in suitable Quantlets, i.e. pieces of computer code, which are executable on an XploreRe Quanlet Server (the latter can be accessed via the web). In that way, readers of more theoretical background can get further insight into the ‘computer implementation’ side of methodologies.

As the book moves quickly across different topics and fields of application, a good background on finance and probability/statistics would definitely facilitate the reading. ‘Applied Quantitative Finance’ is mainly suitable for graduate students in financial engineering or practitioners with a strong interest in quantitative issues.

Reviewed by Nikos Thomaidis, Dept. of Financial and Management Engineering, University of Aegean, Chios Island, Greece. Click here to buy this book at Amazon.co.uk.

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