How Has Berkshire Hathaway Been Doing Lately?

by Graham Giller April 29, 2009 09:46

In an earlier post we asked Is Berkshire Hathway a Hedge Fund?. Since that work was done, in mid. February, Berkshire has rebounded sharply off its low. Hedge funds have also been making money again, so I decided to revisit the data and see how Berkshires regression significance has changed. Has the recent months reinforced or weakened our prior conclusion that there was a significant element of the monthly returns that can be simply attributed to the risk premium arising from dynamic trading?

Chart of Monthly Returns of Trading Factor and Berkshire Hathaway, Inc.

The prior regression showed that, over almost the entire previous decade, the monthly returns of Berkshire Hathaway common stock have a β of 0.70 ± 0.24 onto the dynamic trading risk factor, with a significance level (p-Value) of 0.005. The α is positive, but not significant, at 0.10 ± 0.46. The was 8%, which corresponds to a correlation coefficient of 28%.

In this regression we find a correlation of the monthly returns (to shareholders) with the dynamic trading risk factor, which should correspond to the returns of a typical hedge fund, has strengthened slightly. The β is now 0.83 ± 0.26, which is statistically indistinct from unity (t-Statistic is 0.63 referenced to the β = 1 hypothesis). The t-Statistic for the β is 3.15 for the null hypothsis of β = 0, which is equivalent to a p-Value of 0.002. The α is now estimated at (−0.01 ±0.50) % per month, which is statistically indistict from zero. The for the OLS regression (in the left hand panel of the chart) is 9%, which corresponds to a correlation coefficient of 31%.

In the prior article we chose not to draw a bold conclusion from the data, but I think the conclusion has to be stated more firmly. The data suggests that Berkshire Hathaway, Inc., as far as the returns available to the ordinary shareholders are concerned, is making money solely by following hedge fund trading strategies. One caveat to this, as compared to our regressions for Goldman Sachs and Morgan Stanley, is that the is much smaller. However, this could be attributed to skill. i.e. We could conclude that Morgan and Goldman are just better at executing hedge fund style trading strategies, with less zero expectation noise trading getting in the way, and this is why their returns are better explained by the factor (remember that the factor has a non-negative mean).

 

Be the first to rate this post

  • Currently 0/5 Stars.
  • 1
  • 2
  • 3
  • 4
  • 5

Tags: , , , , , , , ,

Empirical

Comments are closed

Powered by BlogEngine.NET 1.4.5.0
Theme by Mads Kristensen | Modified by Mooglegiant



RecentComments

Comment RSS

About the Author

Graham Giller - Headshot GRAHAM GILLER
Dr. Giller holds a doctorate from Oxford University in experimental elementary particle physics. His field of research was statistical astronomy using high energy cosmic rays. After leaving Oxford, he worked in the Process Driven Trading Group at Morgan Stanley, as a strategy researcher and portfolio manager. He then ran a CTA/CPO firm which concentrated on trading eurodollar futures using statistical models. From 2004, he has managed a private family investment office. In 2009, he joined a California based hedge fund startup, concentrating on high frequency alpha and volatility forecasting. My updated resume is on LinkedIn.

Pages


Disclaimer

Nothing on this site should be construed as a reccommendation to buy or sell any specific security nor as a solicitation of an order to buy or sell any specific security. Before making any trade for any reason you should consult your own financial advisor. The author may hold long or short positions in any of the securities discussed either before or after publication of an article mentioning such a security.

Copyright Notice

All post on this blog are © Copyright property of Giller Investments (New Jersey), LLC. All comments are the property of their respective authors and neither the author or this blog nor any entity associated with him are responsible for or accept any responsibility for their content. Offensive comments and spam may be removed at the authors discretion.

Data provided on this blog or through links to this blog are either property of Giller Investments (New Jersey), LLC or publicly available or derived from data that is publically available. Any data that is proprietary to Giller Investments (New Jersey), LLC is published here for the public interest and may be reproduced for private research or in public forums provided that suitable attribution and acknowledgement of ownership is made.

Privacy Policy

We use third-party advertising companies to serve ads when you visit our website. These companies may use information (not including your name, address, email address, or telephone number) about your visits to this and other websites in order to provide advertisements about goods and services of interest to you. If you would like more information about this practice and to know your choices about not having this information used by these companies, click here.