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Equity Market Hedging Techniques Tested

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 Greg Kapoustin, Principal at AlphaBetaWorks; Senior Analyst at Burlingame Asset Management, LLC

 Thursday, July 7, 2016

Whereas hedges that use a fixed 1 beta and hedges that use returns-based style analysis (RBSA) are flawed, a statistical equity risk model applied to portfolio holdings can produce results close to ideal.


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3 comments on article "Equity Market Hedging Techniques Tested"

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 Samit Ahlawat, Vice President, Credit Risk at Bank of America

 Saturday, July 9, 2016



Tests of hedge effectiveness using random series in MC simulation is a good test, but market returns are not random. Does the model use other return generation methods besides Gaussian random noise? E.g. GARCH (for volatility)?


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 Greg Kapoustin, Principal at AlphaBetaWorks; Senior Analyst at Burlingame Asset Management, LLC

 Monday, July 11, 2016



Thank you for bringing up an important point worth clarifying. (It is always hard to give justice to the details technical readers require.) Fund/security returns being hedged are actual historical returns. Thus, all unhedged returns, market returns, and hedged returns use historical data. So the piece makes no assumption about the distribution of nominal security returns.

MC simulation is used to generate idealized market residuals, distributed long-normally, to compare hedged returns to. Market and portfolio returns are certainly not normal, as you are pointing out. Yet, it is interesting to note how close to normal the ex-post hedged portfolio returns are.


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 Greg Kapoustin, Principal at AlphaBetaWorks; Senior Analyst at Burlingame Asset Management, LLC

 Wednesday, July 13, 2016



FYI: We recently ran a similar test using hedge fund long equity portfolios. This too uses historical holdings and security returns for calculating hedged portfolio performance: http://abwcharts.com/2016/07/04/tests-equity-market-hedging-u-s-hedge-funds/

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