Psychological barriers in the markets for ADRs and ETFs

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Publication Details

Author list: Fonseca V, Lobão J, Pacheco LM
Publisher: Cambridge Scholars Publishing
Place: Cambridge
Publication year: 2021
Start page: 111
End page: 141
Number of pages: 31
ISBN: 978-1-5275-6907-2
Languages: English-Great Britain (EN-GB)


Psychological Barriers are currently one of the most important topics of research in the field of Behavioral Finance, with several empirical studies published since the 1990’s on a variety of financial assets, such as stock indices, single stocks, bonds, derivatives and gold, among others. However, there is a lack of studies regarding the existence of psychological barriers in the ADRs and ETFs markets. This gap in the literature is surprising given the economic importance of these markets. For example, data from the Investment Company Institute shows that in 2018, almost 2,000 ETFs were listed in the US for assets worth the staggering figure of 3.4 trillion USD. Also, according to the Bank of New York Mellon, the combined trading value of listed depositary receipts on US exchanges in that same year reached the value of 4.2 trillion USD. In this chapter we examine for the first time the existence of psychological barriers in the markets for ADRs and ETFs. Our sample includes six of the most liquid assets in each of those two markets. We test for uniformity in the trailing digits of the daily closing prices and use regression and GARCH models to assess the differential impact of being above or below a possible barrier. The results evidence the existence of psychological barriers in only three of the assets under scrutiny, being one ADR (Vale On 1:1) and two ETFs (MSCI Brazil and Horizons Capital Dax Germany). Overall, we find our results to be consistent with the efficient market paradigm presented by Fama (1970). The remainder of this chapter is organized as follows: section 2 presents the literature review and section 3 addresses the methodological aspects, namely the data used in the study and the various methodological steps. The fourth section discusses the empirical results and the last section concludes the chapter.


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Last updated on 2021-02-06 at 16:52