Description
Book SynopsisAvoid downturn vulnerability by managing correlation dependency Asymmetric Dependence in Finance examines the risks and benefits of asset correlation, and provides effective strategies for more profitable portfolio management. Beginning with a thorough explanation of the extent and nature of asymmetric dependence in the financial markets, this book delves into the practical measures fund managers and investors can implement to boost fund performance. From managing asymmetric dependence using Copulas, to mitigating asymmetric dependence risk in real estate, credit and CTA markets, the discussion presents a coherent survey of the state-of-the-art tools available for measuring and managing this difficult but critical issue.
Many funds suffered significant losses during recent downturns, despite having a seemingly well-diversified portfolio. Empirical evidence shows that the relation between assets is much richer than previously thought, and correlation between returns
Table of Contents
About the Editors ix
Introduction xi
CHAPTER 1 Disappointment Aversion, Asset Pricing and Measuring Asymmetric Dependence 1
Jamie Alcock and Anthony Hatherley
CHAPTER 2 The Size of the CTA Market and the Role of Asymmetric Dependence 17
Stephen Satchell and Oliver Williams
CHAPTER 3 The Price of Asymmetric Dependence 47
Jamie Alcock and Anthony Hatherley
CHAPTER 4 Misspecification in an Asymmetrically Dependent World: Implications for Volatility Forecasting 75
Salman Ahmed, Nandini Srivastava and Stephen Satchell
CHAPTER 5 Hedging Asymmetric Dependence 110
Anthony Hatherley
CHAPTER 6 Orthant Probability-Based Correlation 133
Mark Lundin and Stephen Satchell
CHAPTER 7 Risk Measures Based on Multivariate Skew Normal and Skew t -Mixture Models 152
Sharon X. Lee and Geoffrey J. McLachlan
CHAPTER 8 Estimating Asymmetric Dynamic Distributions in High Dimensions 169
Stanislav Anatolyev, Renat Khabibullin and Artem Prokhorov
CHAPTER 9 Asymmetric Dependence, Persistence and Firm-Level Stock Return Predictability 198
Jamie Alcock and Petra Andrlikova
CHAPTER 10 The Most Entropic Canonical Copula with an Application to ‘Style’ Investment 221
Ba Chu and Stephen Satchell
CHAPTER 11 Canonical Vine Copulas in the Context of Modern Portfolio Management: Are They Worth It? 263
Rand Kwong Yew Low, Jamie Alcock, Robert Faff and Timothy Brailsford
Index 291
