2009
DOI: 10.1007/s11408-009-0099-9
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Predicting premiums for the market, size, value, and momentum factors

Abstract: Predictability, Data mining, Stock market, Size, Value, Momentum, G11, G12, G14,

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Cited by 6 publications
(1 citation statement)
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“…To recognize the permanent and transitory risk components, we feed a number of empirically relevant portfolio-specific microlevel variables into a vector autoregressive (VAR) time series model. The importance of factors related to firm size, bookto-market equity, and other financial variables such as leverage, price-to-earnings ratio, value, term, and credit spreads has been highlighted by French (1989, 1995), Keim and Stambaugh (1986), Campbell and Shiller (1988), and Steiner (2009).…”
mentioning
confidence: 99%
“…To recognize the permanent and transitory risk components, we feed a number of empirically relevant portfolio-specific microlevel variables into a vector autoregressive (VAR) time series model. The importance of factors related to firm size, bookto-market equity, and other financial variables such as leverage, price-to-earnings ratio, value, term, and credit spreads has been highlighted by French (1989, 1995), Keim and Stambaugh (1986), Campbell and Shiller (1988), and Steiner (2009).…”
mentioning
confidence: 99%