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Storage and Stability: A Modern Ever-Normal Granary by Benjamin Graham

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By Benjamin Graham

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Benjamin Graham reigns as one of many maximum funding thinkers of the twentieth century. writer of the bestseller safety research, he has encouraged many Wall road legends together with Warren Buffett, Mario D, John Neff and John Bogle. Now, readers can become aware of garage and balance, his 1937 examine on offer and insist, creation and intake, and their impression on price making an investment. an extraordinary glimpse into Graham's social theories and their influence on his making an investment techniques, this e-book ushers within the new Benjamin Graham Classics sequence, and should earn a coveted position on any investor's bookshelf.

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The results are that prior beliefs about the range of skill of money managers in general should get a 35 percent weight. Information about the particular money manager excluding past performance data should get a 61 percent weight. 7 You can substitute your own assumptions, but we doubt whether any reasonable assumptions would justify the overwhelming weight commonly given past performance when people try to predict a manager’s future performance. Under most reasonable assumptions, we would guess that the most important source of information when predicting future performance would be external information about the particular manager, exclusive of past performance.

We already discussed noise as a key contributor to the failure of past performance data as an investment decision tool, but we would be remiss if we didn’t mention a few other reasons past performance is not predictive. First there is the problem of the performance of a portfolio versus the performance of a specific fund manager. Turnover in the investment management team that has produced the past performance record will minimize the usefulness of that record. Another more subtle but nonetheless very real problem in analyzing past performance studies is the weighting given to each manager.

As can be seen, there are significant periods of time when growth stocks do well relative to the overall market, and value stocks tend not to do as well. In those periods when growth stocks are doing well, any manager who has growth stocks as his or her habitat will have a tremendous performance advantage relative to any value manager. As the graph illustrates, the performance differentials can be significant and they can reverse sharply. As an aside, new research that the performance differential attributed to this so-called value effect may in fact also explain a significant portion of the size effect (small vs.

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