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Solutions to portfolio optimization problems by industry and academic leaders

Table of Contents

Optimizing OptimizationStephen SatchellSection 1: Practitioners and Products1. Robust Portfolio Optimization Using Second Order Cone ProgrammingFiona Kolbert and Laurence Wormald2. Novel Approaches to Portfolio Construction: Multiple Risk Models and Multi-Solution GenerationSebastian Ceria, Francis Margot, Anthony Renshaw, and Anureet Saxena3. Bitter Lessons Learned from Practical Optimization or A Holding Hand Through the Dark Valley of InfeasibilityDaryl Roxburgh, Katja Scherer, and Tim Matthews4. The Windham Portfolio AdvisorMark KritzmanSection 2: Theory5. Modeling, Estimation, and Optimization of Equity Portfolios with Heavy-tailed DistributionsAmira Biglova, Sergio Ortobelli, Svetlozar Rachev, and Frank J. Fabozzi6. Staying Ahead on Downside RiskGiuliano De Rossi7. Optimization and Portfolio SelectionHal Forsey and Frank Sortino8. Computing Optimal Mean/Downside Risk Frontiers: the Role of EllipticityA.D. Hall and Stephen Satchell9. Portfolio Optimization with ‘Threshold Accepting’: A Practical GuideManfred Gilli and Enrico Schumann10. Some Properties Averaging Simulated Optimization MethodsJ. Knight and Stephen Satchell11. Heuristic Portfolio Optimization: Bayesian Updating with the Johnson Family of DistributionsRichard Louth12. More Than You Ever Wanted to Know about Conditional Value at Risk-OptimizationBernd Scherer

About the Author

Stephen Satchell is a Fellow of Trinity College, the Reader in Financial Econometrics at the University of Cambridge and Visiting Professor at Birkbeck College, City University Business School and University of Technology, Sydney. He provides consultancy for a range of city institutions in the broad area of quantitative finance. He has published papers in many journals and has a particular interest in risk.