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Posts Tagged ‘Price-to-book Value’

The Fall 2010 edition of the Graham and Doddsville Newsletter, Columbia Business School‘s student-led investment newsletter co-sponsored by the Heilbrunn Center for Graham & Dodd Investing and the Columbia Investment Management Association, has a fascinating interview with Donald G. Smith. Smith, who volunteered for Benjamin Graham at UCLA, concentrates on the bottom decile of price to tangible book stocks [...]

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In a post in late November last year, Testing the performance of price-to-book value, I set up a hypothetical equally-weighted portfolio of the cheapest price-to-book stocks with a positive P/E ratio discovered using the Google Screener, which I called the “Greenbackd Contrarian Value Portfolio“. The portfolio has been operating for a little over 4 months, so I [...]

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As I’ve discussed in the past, P/B and P/E are demonstratively useful as predictors of future stock returns, and more so when combined (see, for example, LSV’s Two-Dimensional Classifications). As Josef Lakonishok, Andrei Shleifer, and Robert Vishny showed in Contrarian Investment, Extrapolation, and Risk, within the set of firms whose B/M ratios are the highest (in other [...]

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I’m setting up a new experiment for 2009/2010 along the same lines as the 2008/2009 Net Net vs Activist Legend thought experiment pitting a little Graham net net against activist investing legend Carl Icahn (Net Net vs Activist Legend: And the winner is…). This time around I’m pitting a small portfolio of near Graham net nets against a [...]

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In yesterday’s post we discussed some informal analysis I’ve undertaken on the returns to the quantitative investment strategy known as “High Minus Low” or HML. The first step was an analysis of HML’s components, high and low BM stocks. I described the HML strategy in some detail and analysed the long-term diminution in the returns to [...]

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Recently we discussed a Goldman Sachs Asset Management (GSAM) presentation, Maybe it really is different this time, in which GSAM argued that High Minus Low or HML, a quantitative investment strategy that seeks to profit from the performance differential between high and low book value-to-market value (BM) stocks, had underperformed since August 2007 due to “overcrowding.” Robert [...]

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The phenomenal Zero Hedge has an article, Goldman Claims Momentum And Value Quant Strategies Now Overcrowded, Future Returns Negligible, discussing Goldman Sachs head of quantitative resources Robert Litterman’s view that  ”strategies such as those which focus on price rises in cheaply-valued stocks…[have] become very crowded” since August 2007 and therefore unprofitable. The strategy to which [...]

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The second method for boosting the performance of book value as a predictor of future investment returns is Joseph D. Piotroski’s elegant F_SCORE. Piotroski first discussed his F_SCORE in 2002 in Value Investing: The Use of Historical Financial Statement Information to Separate Winners from Losers. In the paper, Piotroski examines whether the application of a simple accounting-based fundamental analysis strategy [...]

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This week we’ve been examining the various studies that have considered book value as a predictor of future investment returns, and methods for “juicing” or improving its performance. Josef Lakonishok, Andrei Shleifer, and Robert Vishny’s landmark 1994 study Contrarian Investment, Extrapolation, and Risk examined book value in the context of a larger investigation into the performance [...]

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Price-to-book value is demonstrably useful as a predictor of future investment returns. As we discussed yesterday in Testing the performance of price-to-book value, various studies, including Roger Ibbotson’s Decile Portfolios of the New York Stock Exchange, 1967 – 1984 (1986), Werner F.M. DeBondt and Richard H. Thaler’s Further Evidence on Investor Overreaction and Stock Market Seasonality (1987), [...]

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