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Cover of Künstliche Neuronale Netze Zur Risikomessung Bei Aktien Und Renten

Künstliche Neuronale Netze Zur Risikomessung Bei Aktien Und Renten: Am Beispiel Deutscher Lebensversicherungsunternehmen

by Markus Rauscher

Deutscher Universitatsverlag · 2004 · Paperback

A German-language study testing neural networks for predicting the volatility and correlation of the DAX and REXP, with different architectures and learning methods. Relevant to readers of financial risk measurement.

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About this book

Markus Rauscher examines how well forecasts made with artificial neural networks predict the volatility and correlation of the DAX and the REXP. The study tries a large number of different network architectures and learning algorithms, to find which set-ups suit this task best.

The neural models that prove superior to conventional methods are presented, and the book discusses the possibilities that follow from them. The subtitle places the study in the context of German life insurance companies.

The book is written in German and published by Deutscher Universitatsverlag under ISBN-13 9783824482276.

At a glance

  • German-language
  • Compares neural networks with conventional methods
  • Example drawn from German life insurers
  • Published by Deutscher Universitatsverlag
  • ISBN-13: 9783824482276

Book details

ISBN-13
9783824482276
ISBN-10
3824482274
Author
Markus Rauscher
Publisher
Deutscher Universitatsverlag
Published
2004
Binding
Paperback
Language
English
Condition
New