Estimating a Structural Model of Herd Behavior in Financial Markets
We develop a new methodology to estimate the importance of herd behavior in financial markets: we build a structural model of informational herding that can be estimated with financial transaction data. In the model, rational herding arises because of information-event uncertainty. We estimate the m...
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Format: | eBook |
Language: | English |
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Washington, D.C.
International Monetary Fund
2010
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Series: | IMF Working Papers
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Online Access: | |
Collection: | International Monetary Fund - Collection details see MPG.ReNa |
Summary: | We develop a new methodology to estimate the importance of herd behavior in financial markets: we build a structural model of informational herding that can be estimated with financial transaction data. In the model, rational herding arises because of information-event uncertainty. We estimate the model using data on a NYSE stock (Ashland Inc.) during 1995. Herding often arises and is particularly pervasive on some days. The proportion of herd buyers (sellers) is 2 percent (4 percent) and is greater than 10 percent in 7 percent (11 percent) of information-event days. Herding causes important informational inefficiencies, amounting, on average, to 4 percent of the expected asset value |
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Physical Description: | 33 pages |
ISBN: | 9781455211692 |