A new measurement method of investor overconfidence

Ronald Huisman; Nico van der Sar; Remco Zwinkels

doi:10.1016/j.econlet.2011.09.022

A new measurement method of investor overconfidence

Ronald Huisman, Nico van der Sar, Remco Zwinkels

Business Economics

Research output: Contribution to journal › Article › Academic › peer-review

10 Citations (Scopus)

Abstract

We present an alternative measurement method of investor overconfidence, using unique survey data on stock market predictions of investors. We apply the Parkinson estimate based on extreme bounds around the stock forecast to deduce investor confidence. The results support overconfidence.

Original language	English
Pages (from-to)	69-71
Number of pages	3
Journal	Economics Letters
Volume	114
Issue number	1
DOIs	https://doi.org/10.1016/j.econlet.2011.09.022
Publication status	Published - 2012

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10.1016/j.econlet.2011.09.022

http://hdl.handle.net/1765/37184

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title = "A new measurement method of investor overconfidence",

abstract = "We present an alternative measurement method of investor overconfidence, using unique survey data on stock market predictions of investors. We apply the Parkinson estimate based on extreme bounds around the stock forecast to deduce investor confidence. The results support overconfidence.",

author = "Ronald Huisman and {van der Sar}, Nico and Remco Zwinkels",

year = "2012",

doi = "10.1016/j.econlet.2011.09.022",

language = "English",

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journal = "Economics Letters",

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AU - Huisman, Ronald

AU - van der Sar, Nico

AU - Zwinkels, Remco

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AB - We present an alternative measurement method of investor overconfidence, using unique survey data on stock market predictions of investors. We apply the Parkinson estimate based on extreme bounds around the stock forecast to deduce investor confidence. The results support overconfidence.

U2 - 10.1016/j.econlet.2011.09.022

DO - 10.1016/j.econlet.2011.09.022

M3 - Article

SN - 0165-1765

VL - 114

SP - 69

EP - 71

JO - Economics Letters

JF - Economics Letters

IS - 1

ER -

A new measurement method of investor overconfidence

Abstract

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