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Archive for the ‘Quantitative investment’ Category

The excellent Empirical Finance Blog has a superb series of posts on an investment strategy called “Profit and Value” (How “Magic” is the Magic Formula? and The Other Side of Value), which Wes describes as the “academic version” of Joel Greenblatt’s “Magic Formula.” (Incidentally, Greenblatt is speaking at the New York Value Investors Congress in October [...]

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I burned some digital ink on these pages discussing the utility of quantitative investment processes over more qualitative approaches. The thesis was, in essence, as follows: Simple statistical models outperform the judgements of the best experts Simple statistical models outperform the judgements of the best experts, even when those experts are given access to the simple [...]

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In A Crisis In Quant Confidence*, Abnormal Returns has a superb post on Scott Patterson’s recounting in his book The Quants of the reactions of several quantitative fund managers to the massive reversal in 2007: In 2007 everything seemed to go wrong for these quants, who up until this point in time, had been coining profits. This inevitably [...]

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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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One of the most interesting ideas suggested by Ian Ayers’s book Super Crunchers is the role of humans in the implementation of a quantitative investment strategy. As we know from Andrew McAfee’s Harvard Business Review blog post, The Future of Decision Making: Less Intuition, More Evidence, and James Montier’s 2006 research report, Painting By Numbers: An Ode To Quant, in context [...]

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I’ve just finished Ian Ayres’s book Super Crunchers, which I found via Andrew McAfee’s Harvard Business Review blog post, The Future of Decision Making: Less Intuition, More Evidence (discussed in Intuition and the quantitative value investor). Super Crunchers is a more full version of James Montier’s 2006 research report, Painting By Numbers: An Ode To Quant, providing several [...]

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Aswath Damodaran, a Professor of Finance at the Stern School of Business, has an interesting post on his blog Musings on Markets, Transaction costs and beating the market. Damodaran’s thesis is that transaction costs – broadly defined to include brokerage commissions, spread and the “price impact” of trading (which I believe is an important issue [...]

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In “Black box” blues I argued that automated trading was a potentially dangerous element to include in a quantitative investment strategy, citing the “program trading / portfolio insurance” crash of 1987. When the market started falling in 1987 the computer programs caused the writers of derivatives to sell on every down-tick, which some suggest exacerbated the crash. Here’s New [...]

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One of the major concerns with quantitative investing is that the “black box” running the portfolio suddenly goes Skynet and destroys the portfolio. It raises an interesting distinction between “quantitative investing” as I intend it and as it is often perceived. For many, the word “quantitative” in relation to investing suggests two potentially dangerous elements: [...]

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Recently I’ve been laying the groundwork for a quantitative approach to value investment. The rational is as follows: simple quantitative or statistical models outperform experts in a variety of disciplines, so why not investing in general, and why not value investing in specific? Well, it seems that they do. A new research paper argues that quantitative [...]

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