Estimating a Structural Model of Herd Behavior in Financial Markets / Antonio Guarino, Marco Cipriani.

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Bibliographic Details
Online Access: Full Text (via IMF e-Library)
Main Author: Guarino, Antonio
Other Authors: Cipriani, Marco
Format: eBook
Language:English
Published: Washington, D.C. : International Monetary Fund, 2010.
Series:IMF working paper ; WP/2010/288.

MARC

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245 1 0 |a Estimating a Structural Model of Herd Behavior in Financial Markets /  |c Antonio Guarino, Marco Cipriani. 
264 1 |a Washington, D.C. :  |b International Monetary Fund,  |c 2010. 
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520 3 |a 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. 
588 |a Description based on print version record. 
700 1 |a Cipriani, Marco. 
776 0 8 |i Print Version:  |a Guarino, Antonio  |t Estimating a Structural Model of Herd Behavior in Financial Markets  |d Washington, D.C. : International Monetary Fund, 2021.  |z 9781455211692. 
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