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Building a Risk Measurement Framework for Hedge Funds and Funds-of-Funds*. In the first of two papers, we present a factor-decomposition based framework that facilitates non-parametric risk analysis for complex hedge fund portfolios in the absence of portfolio level transparency.
In this paper, we use new regulatory data on hedge fund activities to show that theories of leverage constraints explain many empirical features of hedge fund leverage. Our headline finding is that leverage is strongly negatively related to the risk of the assets held in hedge fund portfolios.
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This paper illustrates how Value at Risk (VAR) methods can be used to. measure and control the market risk of hedge funds. VAR methods have two key. features: (1) they are based on current position information, and (2) they focus on a lower. quantile of the distribution of losses or some other risk metric.
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Aug 24, 2017 · Understanding the tools required to measure and manage risks of hedge funds requires comprehending the characteristics of hedge fund returns. This section provides an overview of these characteristics before describing the most important types of risk behind these returns.
A sound risk management framework should identify material risks to the hedge fund and measure the principle categories of risk (liquidity risk, leverage risk, market risk, counterparty credit risk, operational risk and legal and compliance risk).
To examine the risk-measurement tolerances of Form PF, we generate a large collection of simulated hedge funds and report their risk exposures according to the instructions of Form PF. Each fund’s portfolio consists of an equities sub-portfolio and an equity options sub-portfolio.
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What is a hedge fund risk management framework?
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analyze the determinants of hedge fund survival as well as perform tests of return persistence. Finally, we examine the claims of the managers of “funds of funds” that they can form portfolios of “the best” hedge funds and that such funds provide useful instruments for individual investors.