It seems that name-melding has extended beyond the ranks of celebrities (think Brangelina and TomKat) to the world of fund management. An article in this month’s Pensions & Investments explains how, in the face of disappointing performance, hedge fund managers are integrating quantitative strategies into their fundamental approaches in an effort to improve results. Lin William Cong, finance professor at the University of Chicago’s Booth School of Business (and self-proclaimed inventor of the term “quantimental”) says market data is showing an “increasing use of quantitative tools” (that incorporate complex risk factors such as value, momentum and volatility) into the management […]
For nearly two decades, top value investor and columnist John Dorfman has been tracking a purely quantitative “robot portfolio” that has beaten the S&P 500 by about 12 percentage points per year. His advice: Don’t use it. In an interview with Wealth Track’s Consuelo Mack, Dorfman talks about why his robot approach isn’t suitable for the vast majority of investors. The strategy takes all stocks with market capitalizations of at least $500 million, eliminates those whose debt is more than their equity, and then selects the ten with the lowest price/earnings ratios. While its track record is impressive, Dorfman says […]
Pete Muller, who runs PDT Partners, is described by Forbes as “the latest, greatest member of a growing band of hedge fund [managers] that use complex math and computer-automated algorithmic models to buy and sell stocks, futures and currencies based on statistical correlations and aberrations that can be found in the market.” Muller, who worked with Mogan Stanely for years before taking a hiatus in 1999 and eventually starting his own venture, has a strong record of returns. His largest fund was up 21.5% net of fees over the first 11 months of 2015 – given particularly high fees, this […]
James O’Shaughnessy’s What Works on Wall Street is something of a bible for quantitative investors, and in a recent Investors Podcast, O’Shaughnessy talked about what his vast amount of research has taught him. O’Shaughnessy says it is critical to understand human nature if you want to succeed at investing. While his book detailed how dozens of quantitative strategies have worked over several decades, he says he wasn’t worried that disclosing the information would lead to hordes of investors piling into the best strategies, and thus ruining them. He “knew that, human nature being what it is, that they might get […]
In a wide-ranging interview with Barry Ritholtz on Bloomberg View, quantitative investing guru James O’Shaughnessy recently talked about why human beings are such inferior prognosticators compared to computer models, what that means for investors, why stocks may well be safer than bonds over the long run, and why holding period duration is so critical.