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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Bibliographic Details
Main Author: Guarino, Antonio
Other Authors: Cipriani, Marco
Format: Journal
Language:English
Published: Washington, D.C. : International Monetary Fund, 2010.
Series:IMF Working Papers; Working Paper ; No. 2010/288
Online Access:Full text available on IMF
Description
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 Incorporated) 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:1 online resource (33 pages)
Format:Mode of access: Internet
ISSN:1018-5941
Access:Electronic access restricted to authorized BRAC University faculty, staff and students