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The Smart Beta Mirage

Published online by Cambridge University Press:  11 May 2023

Shiyang Huang
Affiliation:
The University of Hong Kong HKU Business School huangsy@hku.hk
Yang Song
Affiliation:
University of Washington Foster School of Business songy18@uw.edu
Hong Xiang*
Affiliation:
The Hong Kong Polytechnic University Faculty of Business School of Accounting and Finance
*
hong.xiang@polyu.edu.hk (corresponding author)
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Abstract

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We document and explain the sharp performance deterioration of smart beta indexes after the corresponding exchange-traded funds (ETFs) are launched for investment. While smart beta is purported to deliver excess returns through factor exposures, the market-adjusted return of smart beta indexes drops from about 3% “on paper” before ETF listings to about −0.50% to −1% after ETF listings. This performance decline cannot be explained by variation in factor premia, strategic timing, or diminishing returns to scale. Instead, we find strong evidence of data mining in the construction of smart beta indexes, which helps ETFs attract flows, as investors respond positively to backtests.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of the Michael G. Foster School of Business, University of Washington
Supplementary material: PDF

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