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OPTIMIZING OPTIMIZATION
Optimizing Optimization
The Next Generation of Optimization Applications and Theory
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By
Stephen Satchell, Consultant to financial institutions and Reader in Financial Econometrics at Trinity College, Cambridge, Stephen Satchell is Editor-in-Chief of the Journal of Asset Management and Derivatives, Use, Trading, and Regulation. He has edited or authored over 20 books on finance.

Included in series
Quantitative Finance,

Audience
– Portfolio managers in buy-side firms (hedge funds, mutual funds, pension funds) and investment houses – CTOs who make purchasing decisions for financial optimization software. – Research staff at top quantitative investing companies like BGI and SSgA. – Masters and PhD students in financial engineering programs worldwide.

Contents


Optimizing Optimization

Stephen Satchell



Section 1: Practitioners and Products



Chapter 1: Robust Portfolio Optimization Using Second Order Cone Programming

Fiona Kolbert and Laurence Wormald



Chapter 2: Novel Approaches to Portfolio Construction: Multiple Risk Models and Multi-Solution Generation

Sebastian Ceria, Francis Margot, Anthony Renshaw, and Anureet Saxena

Chapter 3: Bitter Lessons Learned from Practical Optimization or A Holding Hand Through the Dark Valley of Infeasibility

Daryl Roxburgh, Katja Scherer, and Tim Matthews



Chapter 4: The Windham Portfolio Advisor

Mark Kritzman



Section 2: Theory

Chapter 5: Modeling, Estimation, and Optimization of Equity Portfolios with Heavy-tailed Distributions

Amira Biglova, Sergio Ortobelli, Svetlozar Rachev, and Frank J. Fabozzi



Chapter 6: Staying Ahead on Downside Risk

Giuliano De Rossi



Chapter 7: Optimization and Portfolio Selection

Hal Forsey and Frank Sortino



Chapter 8: Computing Optimal Mean/Downside Risk Frontiers: the Role of Ellipticity

A.D. Hall and Stephen Satchell

Chapter 9: Portfolio Optimization with ?Threshold Accepting': A Practical Guide

Manfred Gilli and Enrico Schumann

Chapter 10: Some Properties Averaging Simulated Optimization Methods

J. Knight and Stephen Satchell



Chapter 11: Heuristic Portfolio Optimization: Bayesian Updating with the Johnson Family of Distributions

Richard Louth



Chapter 12: More Than You Ever Wanted to Know about Conditional Value at Risk-Optimization

Bernd Scherer



Bibliographic details
Hardbound, 328 pages, publication date: OCT-2009
ISBN-13: 978-0-12-374952-9
Imprint: ACADEMIC PRESS

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USD 141.95
EUR 100.95
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Last update: 25 Nov 2009
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