Decision Technologies for Computational Finance Book

This volume contains selected papers that were presented at the International Conference `Computational Finance' held at the London Business School. Formerly known as Neural Networks in the Capital Markets (NNCM), this series of meetings has emerged as a truly multi-disciplinary international conference and provided an international focus for innovative research on the application of a multiplicity of advanced decision technologies to many areas of financial engineering. It has drawn upon theoretical advances in financial economics and robust methodological developments in the statistical, econometric and computer sciences. To reflect its multi-disciplinary nature, the NNCM conference has adopted the new title `Computational Finance'.
The papers in this volume are organised in six parts: Market Dynamics and Risk, Trading and Arbitrage strategies, Volatility and Options, Term-Structure and Factor Models, Corporate Distress Models, and Advances in Methodology.

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From a recent meeting of a multidisciplinary series formerly known as Neural Networks in the Capital Markets, 39 selected papers draw on theoretical developments in financial economics and robust mathematical developments in the statistical, econometric, and computer sciences to describe the application of a wide range of advanced decision technologies to many areas of financial engineering. They cover market dynamics and risk, trading and arbitrage strategies, volatility modeling and option pricing, term structure and factor models, corporate distress models, and advances in methodology. Reproduced from typescripts, some double spaced. No index. Annotation c. Book News, Inc., Portland, OR (booknews.com)