Risk Measurement, Econometrics and Neural Networks
Author | : Georg Bol |
Publisher | : Springer Science & Business Media |
Total Pages | : 316 |
Release | : 2012-12-06 |
ISBN-10 | : 9783642582721 |
ISBN-13 | : 3642582729 |
Rating | : 4/5 (729 Downloads) |
Download or read book Risk Measurement, Econometrics and Neural Networks written by Georg Bol and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprises the articles of the 6th Econometric Workshop in Karlsruhe, Germany. In the first part approaches from traditional econometrics and innovative methods from machine learning such as neural nets are applied to financial issues. Neural Networks are successfully applied to different areas such as debtor analysis, forecasting and corporate finance. In the second part various aspects from Value-at-Risk are discussed. The proceedings describe the legal framework, review the basics and discuss new approaches such as shortfall measures and credit risk.