Dr. Andrew Lo , MIT Professor and founder of Alpha Simplex, was recently on CNBC's Fast Money program discussing hedge fund replication using a combination of exchange traded futures and currency forwards.
In essence, hedge fund replication attempts to mimic the betas and returns of either individual hedge fund strategies, or the entire hedge fund industry, using common and liquid exchange traded assets, such as futures, forwards, swaps, and even ETFs. In using such assets to replicate returns, is it hoped that one can not only replicate betas and returns, but do so with comparable or less risk, and of course, less cost that a traditional hedge fund.
The specific fund that Dr. Lo helps manage, along with Jeremiah Chafkin and Robert Rickard, is a long/short replication mutual fund named the Natixis ASG Global Alternatives A (GAFAX) fund. The fund is relatively new, with an inception date of September 30, 2008, and has an expense ratio of 1.64% and an initial sales fee of 5.75% - not cheap, but less than your typical 2/20 hedge fund fee structure for longer holding periods. Year to date the GAFAX fund is up only 4.86% compared to a positive 8.74% return for the S&P 500. Nonetheless, the diversification effects of the fund have helped its returns be relatively flat since inception, compared to roughly a 20% loss in the S&P 500 over the same period. Given that the fund is less than one year old, extensive risk-return data is not yet available.
While replication strategies can attempt to replicate either single or multiple strategies, the GAFAX fund is broad-based in that it does not try to mimic one specific type of hedge fund strategy, but instead tries to get the beta and return of the diversified exposure of the entire hedge fund industry. Therefore, such a fund will not report returns that match the top outperforming funds each year, but will also hopefully avoid significant exposure to strategies that may have recently blow-up due to current market or macroeconmic factors. Furthermore, even though the fund is using reported past return data to develop its replication, the lag in performance is not expected to be as dramatic since the fund is modeling more broad-based returns, and once again is not subject to the investment changes of one hedge fund or strategy.
Hedge fund replication has been an active area of research for a number of years, both in academia and industry. It will certainly be interesting to see how such techniques perform outside the labs of academia and closed doors of industry, and whether or not such investment strategies catch on with the retail investing public. If you are looking to learn more about the field of hedge fund replication, there are a number of places to start. First, check out Dr. Lo's MIT homepage and Laboratory for Financial Engineering website were you can download some recent abstracts, publications, and working papers on hedge funds. Second, check out the wonderful blog AllAboutAlpha.com and its various articles on alternative beta and hedge fund replication strategies. The following academic papers - available on the Internet (there are others as well) - will also given you an idea of a few hedge fund replication research approaches and modeling techniques.
Can Hedge-Fund Returns Be Replicated?: The Linear Case, Hasanhodzic and Lo
Alternative Routes to Hedge Fund Return Replication: Extended Version, Harry Kat
A few books on the subject include the following:
Hedge Funds: An Analytic Perspective, Andrew Lo (includes a chapter on replication, content from his papers)
Alternative Beta Stategies and Hedge Fund Replication, Lars Jaeger
Once again, these are just a few resources available on the Internet or at your local bookstore. As mentioned, the field has been active over the last few years, and subsequently has produced a number of good articles, books, and online resources. Enjoy.
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