Evolutionary Finance

ISBN-13: 9781349545551 / Angielski / Miękka / 2005 / 297 str.

B. Dowling

Opis

The purpose of this book is to introduce the field of bioinformatics to financial modelling. It focuses on the way information informs price, and constructs a framework to explain information generation and the agglomeration process, enabling the reader to make more effective financial decisions. Based on all aspects of applied finance, this book uses informational analysis to help the reader understand the similarities between biomathematics and financial mathematics.

Recenzje

'This ambitious book is both a welcome and long overdue addition to the financial literature for market participants. For the first time, a comprehensive and insightful framework within which to analyze the full spectrum of investment strategies is available. Dowling's grasp of theoretical and practical issues is most impressive as he introduces new and innovative techniques that draw on developments from a diverse range of fields. This book represents a significant step forward in understanding markets and exciting new tools emerge that practitioners cannot afford to ignore. Ultimately an excellent, well-balanced contribution that's a must-read for all.' - Dr Brian Fleming, Quantitative Analyst, Standard Life Investments

'Bart Dowling goes beyond tinkering with tired theories and successfully tackles the cutting edge models relevant for practitioners.' - Edgar van Tuyll, Chief Quantitative Strategist, Pictet, Switzerland

Spis treści

Acknowledgements Preface PART 1: INTRODUCTION PART 2: THE 'OLD' VIEW OF FINANCE The Efficient Market Hypothesis A Little More on the Link Between the Theory and the Applied Cost, Ability and Speed: Important Information Determinants Do Empirical Studies of the EHM Shed any Light on the Actual Is 'Strong EHM' all there is to the 'Traditional' View of Markets PART 3: THE 'NEW' VIEW OF FINANCE 'New' View Challenge No. 1: Determinism, Complexity Theory 'New' View Challenge No. 2: Bounded Rationality 'New' View Challenge No. 3: Trading Rules. Evolutionary So Where Does Evolutionary Finance Fit-in to the 'New' View PART 4: THE MECHANICS OF MODELING INFORMATION AS AN EVOLUTIONARY PROCESS Evolutionary Information Basics: Memetics and the Contribution Moving Past the Elementary: Taking the Evolutionary The Building Blocks of our Evolutionary Approach Toward Some Consequences of our Evolutionary Approach Toward How Investors Interpret Evolutionary Information PART 5: PUTTING IT ALL TOGETHER - AN EVOLUTIONARY MODEL OF THE MARKETPLACE Stage 1: Developing an Intertemporal Optimization Model Stage 2: Linking Analyst Research Output to Asset Price Stage 3: Highlighting our Preferred Model of the Market PART 6: THE IMPLICATIONS OF OUR EVOLUTIONARY PERSEPCTIVE FOR DISTRIBUTIONAL FORM Foundations for an Evolutionary Approach Toward Analyst/Investor Strategies and the Ecology of the Market Some Implications of our Results PART 7: EVOLUTIONARY FINANCE - AN APPLIED PERSPECTIVE A Primer on Evolutionary Algorithms Evolutionary Asset Selection Evolutionary Portfolio Construction Does it Work? The Results of 10 Years of Out-of-Sample PART 8: FUTURE DIRECTIONS - THE PATH AHEAD FOR EVOLUTIONARY FINANCE Future Directions for Evolutionary Finance - The Theory Future Directions for Evolutionary Finance - The Practice Appendix 1: A Glossary of Investment Terms Appendix 2: An OLG Form Evolutionary Model of the Marketplace Appendix 3: Some Background on Evolutionary Finance Ltd Bibliography Index

O autorze

BARTHOLOMEW DOWLING is Managing Director of Evolutionary Finance Ltd. He has extensive experience in the investment industry as an Economist, Fixed-Income and FX Strategist, Financial Engineer, Global Asset Allocator and Absolute Return Manager. He has worked both on Wall Street and in the City of London, as well as being a Research Associate and the Centre for Financial Research, Judge Institute of Management, University of Cambridge. He is the recipient of numerous academic prizes, including the 2000 Innovation Award from the West Coast based mathematics think-tank, Insightful.