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Index Funds Book
Index Funds: The 12-Step Program for Active Investors (Hardcover)

by Mark T Hebner
ISBN: 0-9768023-0-9




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Harry M. Markowitz explains Portfolio Theory: what it is and how it's used from a top-down model from the asset classes to the investments. He covers Standard Deviation, Variance, Correlation, and Covariance. Markowitz also explains what happened in 2008 with Modern Portfolio Theory. (39 Min.)

Harry M. Markowitz - Portfolio Theory and 2008

Mark covers historic recovery patterns and probability of future returns, the risks and returns that come with big government, the role of commodities in your investments, the pros and cons of inflation-hedging securities, and an investment strategy that has been highly successful historically. (92 Min.)

Mark T. Hebner - Big Losses, Big Government and Your Investments

Harry Markowitz gives an IFA Exclusive Presentation on Portfolio Theory Vs. Financial Engineering, and Their Roles in Financial Crises. Markowitz explains the difference between Portfolio Theory and Financial Engineering. Markowitz also covers Black Monday (October 19, 1987), Long Term Capital Management, and Now. (47 Min.)

Harry Markowitz - Portfolio Theory Vs. Financial Engineering, and Their Roles in Financial Crises

The first step on the index funds journey is to recognize active investor behavior. If all investors were lined up in a row, could the active investors be identified? Active investors actively engage in stock picking, time picking (market timing), manager picking, and style picking.

Step 1: Active Investors - Podcast Interview with Mark Hebner

Mark Hebner explains the Nobel Laureates. Mark suggests a higher power of non-biased information from academics who carefully analyze data and have that data peer reviewed before it is published. Mark identifies the five basic concepts of the Modern Portfolio Theory.

Step 2: Nobel Laureates - Podcast Interview with Mark Hebner

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Jay D. Franklin
Jay D. Franklin

The Never-Ending Pursuit of Alpha

Jay D. Franklin
Friday, July 22, 2011

As we have pointed out on many occasions, both stock-picking and hiring an active manager to pick stocks on your behalf are mug’s games. While some investors diligently study individual stocks and other investors handsomely pay active managers to deliver alpha (an additional return above and beyond what can be explained by exposure to risk), very few, if any, investors receive alpha on a consistent basis. Considering that the amount of alpha in the world that is available for capture is zero before costs and negative after costs, it is not difficult to understand why this is the case. The dearth of alpha is borne out by numerous academic studies by luminaries such as Eugene Fama and Ken French. Nevertheless, hope springs eternal as evidenced by the nearly 7,000 actively managed mutual funds in existence today.

 In order to determine whether or not a fund manager has reliably delivered alpha, a multivariable regression analysis of historical returns can be conducted.  This analysis reveals the extent to which the returns can be replicated with a combination of index funds as well as the value added or subtracted by the manager (i.e., alpha). One very important quantity produced in the analysis is the t-statistic of alpha which provides a measure of the probability that the alpha could have occurred from chance alone. In general, a positive alpha with a t-statistic greater than two indicates a 5% or lower probability that the excess returns are due to luck. IFA recently conducted its own study of 602 US equity mutual funds with ten years of returns data. We required that at least 90% of the funds holdings be in US equities and that the prospectus objective concur with the size/value style of the fund’s holdings (to minimize the impact of style drift). The results are shown below:

 Evidence of a Lack of Stock Picking Skill Among Managers

Out of 614 mutual funds, only one (0.16%) had a t-stat greater than or equal to 2 (signifying skill), but that t-stat dropped to 1.05 (signifying luck) when that fund was analyzed from its inception date of November, 1991. Although investors may be tempted to invest in the one fund that appeared to deliver a reliable alpha, IFA cautions investors that the fact that there are so many managers virtually guarantees that there will be some who appear to have demonstrated true skill. Unfortunately, the number of such managers is no higher than what we would have if all of them were monkeys throwing darts at the Wall Street Journal. Two studies that elegantly address this point are:

  1. “False Discoveries in Mutual Fund Performance: Measuring Luck in Estimating Alphas” by Barras, Scaillet, and Wermers which evaluated 2,076 fund managers over 32 years and found  that 99.4% of active fund managers showed no genuine stock-picking ability.
  2. “Luck versus Skill in the Cross Section of Mutual Fund Alpha Estimates” by Fama and French which evaluated 819 actively managed funds over 22 years and found that 97% could not be expected to beat a risk-appropriate benchmark.

The myth of persistency in positive alpha was completely debunked in the Standard and Poors Persistence Scorecard which showed that the number of managers who remain in the top half or quartile of their peer group is lower than what we would expect from chance alone. The conclusion of all of these studies is inescapable. Investors’ resources are far better spent in focusing on the risk factors of market, size, and value. Asset allocation remains by far the most important determinant of future returns. After determining a risk-appropriate asset allocation, the next important task is to control costs. The pursuit of alpha has two essential problems: It is costly, and it may lead to missing out on the return associated with the risk factors of market, size, and value, which are the more reliable sources of returns.


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