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Lookup NU author(s): Professor Bartosz GebkaORCiD
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).
We provide the first investigation of herding among closed-end fund investors, drawing on the US closed-end fund market for the 1992-2016 period. Results suggest closed-end fund investors herd significantly, with their herding being mainly driven by non-fundamentals. Closed-end fund herding rises in economic/market uncertainty, with its significance being mainly concentrated in the post-2007 period. Herding among closed-end funds is strongly motivated by discounts, is more pronounced than that among their net asset values and tends to grow inversely with fund-size. The fact that closed-end fund herding is noise-driven and linked to their discounts raises the possibility that it is related to the noise trader risk attributed to closed-end funds by investor sentiment theory.
Author(s): Cui Y, Gebka B, Kallinterakis V
Publication type: Article
Publication status: Published
Journal: Journal of Banking and Finance
Year: 2019
Volume: 105
Pages: 194-206
Print publication date: 01/08/2019
Online publication date: 21/05/2019
Acceptance date: 20/05/2019
Date deposited: 15/07/2019
ISSN (print): 0378-4266
ISSN (electronic): 1872-6372
Publisher: Elsevier
URL: https://doi.org/10.1016/j.jbankfin.2019.05.015
DOI: 10.1016/j.jbankfin.2019.05.015
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