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Asymmetric Dependence in Finance

Asymmetric Dependence in Finance
Author: Jamie Alcock
Publisher: John Wiley & Sons
Total Pages: 312
Release: 2018-06-05
Genre: Business & Economics
ISBN: 1119289017

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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.


On the Out-of-Sample Importance of Skewness and Asymmetric Dependence for Asset Allocation

On the Out-of-Sample Importance of Skewness and Asymmetric Dependence for Asset Allocation
Author: Andrew J. Patton
Publisher:
Total Pages:
Release: 2010
Genre:
ISBN:

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Recent studies in the empirical finance literature have reported evidence of two types of asymmetries in the joint distribution of stock returns. The first is skewness in the distribution of individual stock returns. The second is an asymmetry in the dependence between stocks: stock returns appear to be more highly correlated during market downturns than during market upturns. In this article we examine the economic and statistical significance of these asymmetries for asset allocation decisions in an out-of-sample setting. We consider the problem of a constant relative risk aversion (CRRA) investor allocating wealth between the risk-free asset, a small-cap portfolio, and a large-cap portfolio. We use models that can capture time-varying moments up to the fourth order, and we use copula theory to construct models of the time-varying dependence structure that allow for different dependence during bear markets than bull markets. The importance of these two asymmetries for asset allocation is assessed by comparing the performance of a portfolio based on a normal distribution model with a portfolio based on a more flexible distribution model. For investors with no short-sales constraints, we find that knowledge of higher moments and asymmetric dependence leads to gains that are economically significant and statistically significant in some cases. For short sales-constrained investors the gains are limited.


The Oxford Handbook of Entrepreneurial Finance

The Oxford Handbook of Entrepreneurial Finance
Author: Douglas Cumming
Publisher: OUP USA
Total Pages: 937
Release: 2012-03-22
Genre: Business & Economics
ISBN: 0195391241

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Provides a comprehensive picture of issues dealing with different sources of entrepreneurial finance and different issues with financing entrepreneurs. The Handbook comprises contributions from 48 authors based in 12 different countries.


Asset Pricing Under Asymmetric Information

Asset Pricing Under Asymmetric Information
Author: Markus Konrad Brunnermeier
Publisher: Oxford University Press, USA
Total Pages: 264
Release: 2001
Genre: Business & Economics
ISBN: 9780198296980

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The role of information is central to the academic debate on finance. This book provides a detailed, current survey of theoretical research into the effect on stock prices of the distribution of information, comparing and contrasting major models. It examines theoretical models that explain bubbles, technical analysis, and herding behavior. It also provides rational explanations for stock market crashes. Analyzing the implications of asymmetries in information is crucial in this area. This book provides a useful survey for graduate students.


Characterizing the Asymmetric Dependence Premium

Characterizing the Asymmetric Dependence Premium
Author: Jamie Alcock
Publisher:
Total Pages: 59
Release: 2016
Genre:
ISBN:

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We examine the price of asymmetric dependence (AD) in the cross-section of US equities. Using a $ beta$-invariant AD metric, we demonstrate that the return premium for AD is approximately $47%$ of the premium for $ beta$. The premium for lower-tail AD equivalent to $26%$ of the market risk premium, and has been relatively constant through time. The discount associated with upper-tail AD is $29%$ of the market risk premium and has been increasing markedly in recent years. Our findings have substantial implications for the cost of capital, investor expectations, portfolio management and performance assessment.


A Test of General Asymmetric Dependence

A Test of General Asymmetric Dependence
Author: Lei Jiang
Publisher:
Total Pages: 34
Release: 2018
Genre:
ISBN:

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We propose a modified mutual information measure to capture general asymmetric dependence between two random variables. Based on this measure, we propose a test of asymmetric dependence and examine its finite-sample performance. We show that our test has better power than competing tests with alternative dependence measures. Using the new test, we find significant asymmetric dependence in returns of commonly-used stock portfolios and the market return both in the U.S and other developed countries. Further, the dependence between developed country markets and the U.S. market is stronger when both markets are in a downturn.