2008
DOI: 10.1093/rfs/hhn090
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Momentum Profits, Factor Pricing, and Macroeconomic Risk

Abstract: We study the connection between momentum portfolio returns and shifts in factor loadings on the growth rate of industrial production. Winners have temporarily higher loadings than losers. The loading spread derives mostly from the high, positive loadings of winners. Small stocks have higher loadings than big stocks, and value stocks have higher loadings than growth stocks. Using standard multifactor tests, we present evidence that the growth rate of industrial production is a priced risk factor. In most of our… Show more

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Cited by 346 publications
(118 citation statements)
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References 63 publications
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“…A body of research debates the importance of industry or sectors in explaining momentum (Moskowitz andGrinblatt (1999, Grundy andMartin, 2001) and Liu and Zhang (2008). Moskowitz and Grinblatt (1999) document that once returns are adjusted for industry effects, momentum becomes significantly weaker.…”
Section: Unexplained Anomaliesmentioning
confidence: 99%
See 1 more Smart Citation
“…A body of research debates the importance of industry or sectors in explaining momentum (Moskowitz andGrinblatt (1999, Grundy andMartin, 2001) and Liu and Zhang (2008). Moskowitz and Grinblatt (1999) document that once returns are adjusted for industry effects, momentum becomes significantly weaker.…”
Section: Unexplained Anomaliesmentioning
confidence: 99%
“…Moskowitz and Grinblatt (1999) document that once returns are adjusted for industry effects, momentum becomes significantly weaker. Liu and Zhang (2008) show that the growth rate of industrial production is a priced risk factor in asset pricing tests and explains more than half of momentum profits. Using the above argument we purport that stock momentum may be caused due to sector momentum.…”
Section: Unexplained Anomaliesmentioning
confidence: 99%
“…Contrarian trading strategies imply that past losers become future winners and vice versa (De Bondt & Thaler, 1985, 1987. Risk based explanations for momentum include past trading volume (Lee and Swaminathan (2000)), sectoral returns (Moskowitz and Grinblatt, 1999;Liu &Zhang, 2008)), macro economic factors (Chordia & Shivkumar, 2002), investor bias in processing information could also lead to momentum profits (Barberis, Shleifer & Vishny, 1998;Daniel, Hirshleifer & Subrahmanyam, 1998;Hong& Stein, 1999).Nevertheless, momentum remains a puzzle generating high risk adjusted returns and hence capturing the attention of investment managers. Risk based explanation for contrarian is that stocks that had low past returns (losers) tended to be smaller and relatively more distressed while those that had high past returns (winners) were bigger and relatively less distressed (Fama &French, 1995).…”
Section: 2mentioning
confidence: 99%
“…28 (2010), Black & McMillan (2002), Griffin, Ji, & Martin (2003), Liu & Zhang (2008); Mouselli, Michou, & Stark (2008), etc. .20168 (0.0000)*** * **Implies the significance at 1% level of significance, i.e.…”
Section: Figure 2: Time Series Probability Of Being In High and Low Vmentioning
confidence: 99%