Information Immobility and the Home Bias Puzzle
Abstract
Many argue that home bias arises because home investors can predict home asset payoffs more accurately than foreigners can. But why does global information access not eliminate this asymmetry? We model investors, endowed with a small home information advantage, who choose what information to learn before they invest. Surprisingly, even when home investors can learn what foreigners know, they choose not to: Investors profit more from knowing information others do not know. Learning amplifies information asymmetry. The model matches patterns of local and industry bias, foreign investments, portfolio outperformance, and asset prices. Finally, we propose new avenues for empirical research. Copyright (c) 2009 The American Finance Association.(This abstract was borrowed from another version of this item.)
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Paper provided by New York University, Leonard N. Stern School of Business, Department of Economics in its series Working Papers with number 04-32.Length:
Date of creation: 2004
Date of revision:
Handle: RePEc:ste:nystbu:04-32
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Postal: New York University, Leonard N. Stern School of Business, Department of Economics, 44 West 4th Street, New York, NY 10012-1126
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Web page: http://w4.stern.nyu.edu/economics/
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Keywords:Other versions of this item:
- Stijn Van Nieuwerburgh & Laura Veldkamp, 2009. "Information Immobility and the Home Bias Puzzle," Journal of Finance, American Finance Association, vol. 64(3), pages 1187-1215, 06.
- Stijn Van Nieuwerburgh & Laura Veldkamp, 2007. "Information Immobility and the Home Bias Puzzle," NBER Working Papers 13366, National Bureau of Economic Research, Inc.
- Laura Veldkamp & Stijn Van Nieuwerburgh, 2005. "Information Immobility and the Home Bias Puzzle," 2005 Meeting Papers 78, Society for Economic Dynamics.
- F30 - International Economics - - International Finance - - - General
- G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
- D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
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