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Maximizing Predictability in the Stock and Bond Markets Author info | Abstract | Publisher info | Download info | Related research | Statistics Andrew W. Lo
A. Craig MacKinlay
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We construct portfolios of stocks and of bonds that are maximally predictable with respect to a set of ex ante observable economic variables, and show that these levels of predictability are statistically significant, even after controlling for data-snooping biases. We disaggregate the sources for predictability by using several asset groups, including industry-sorted portfolios, and find that the sources of maximal predictability shift considerably across asset classes and sectors as the return-horizon changes. Using three out-of-sample measures of predictability, we show that the predictability of the maximally predictable portfolio is genuine and economically significant.
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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number
5027.
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Date of creation: Feb 1995Date of revision:
Handle: RePEc:nbr:nberwo:5027Note: APContact details of provider: Postal: National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A. Phone: 617-868-3900 Email: Web page: http://www.nber.org More information through EDIRC
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Find related papers by JEL classification: G12 - Financial Economics - - General Financial Markets - - - Asset Pricing
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