"Avoid 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 is dependent on the state of the market; this book explains this asymmetric dependence and provides authoritative guidance on mitigating the risks. Examine an options-based approach to limiting your portfolio's downside risk Manage asymmetric dependence in larger portfolios and alternate asset classes Get up to speed on alternative portfolio performance management methods Improve fund performance by applying appropriate models and quantitative techniques Correlations between assets increase markedly during market downturns, leading to diversification failure at the very moment it is needed most. The 2008 Global Financial Crisis and the 2006 hedge-fund crisis provide vivid examples, and many investors still bear the scars of heavy losses from their well-managed, well-diversified portfolios. Asymmetric Dependence in Finance shows you what went wrong, and how it can be corrected and managed before the next big threat using the latest methods and models from leading research in quantitative finance"-- Provided by publisher.

"Asymmetric Dependence (hereafter, AD) is usually thought of as a cross-sectional phenomenon. Andrew Patton describes AD as "stock returns appear to be more highly correlated during market downturns than during market upturns." (Patton, 2004) Thus at a point in time when the market return is increasing we might expect to find the correlation between any two stocks to be, on average, lower than the correlation between those same two stocks when the market return is negative. However the term can also have a time series interpretation. Thus it may be that the impact of the current US market on the future UK market may be quantitatively different from the impact of the current UK market on the future US market. This is also a notion of AD that occurs through time. Whilst most of this book addresses the former notion of AD, time-series AD is explored in Chapters Four and Seven"-- Provided by publisher.