A New Measure of Market Inefficiency
Financial crises, such as the Great Financial Crisis of 2007–2009 and the COVID-19 Crisis of 2020–2021, lead to high volatility in financial markets and highlight the importance of the debate on the Efficient Markets Hypothesis, a corollary of which is that in an efficient market it should not be po...
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doaj-2a307db39f8c4ce4826a531cd10758a12021-06-30T23:50:58ZengMDPI AGJournal of Risk and Financial Management1911-80661911-80742021-06-011426326310.3390/jrfm14060263A New Measure of Market InefficiencyChristopher R. Stephens0Harald A. Benink1José Luís Gordillo2Juan Pablo Pardo-Guerra3C3-Centro de Ciencias de la Complejidad, Instituto de Ciencias Nucleares, Universidad Nacional Autónoma de México, Ciudad de México 04510, MexicoSchool of Economics and Management, Tilburg University, PO Box 90153, 5000 LE Tilburg, The NetherlandsC3-Centro de Ciencias de la Complejidad, Instituto de Ciencias Nucleares, Universidad Nacional Autónoma de México, Ciudad de México 04510, MexicoDepartment of Sociology, University of California San Diego, 9500 Gilman Dr, La Jolla, CA 92093, USAFinancial crises, such as the Great Financial Crisis of 2007–2009 and the COVID-19 Crisis of 2020–2021, lead to high volatility in financial markets and highlight the importance of the debate on the Efficient Markets Hypothesis, a corollary of which is that in an efficient market it should not be possible to systematically make excess returns. In this paper, we discuss a new empirical measure—Excess Trading Returns—that distinguishes between market and trading returns and that can be used to measure inefficiency. We define an Inefficiency Matrix that can provide a complete, empirical characterization of the inefficiencies inherent in a market. We illustrate its use in the context of empirical data from a pair of model markets, where information asymmetries can be clearly understood, and discuss the challenges of applying it to market data from commercial exchanges.https://www.mdpi.com/1911-8074/14/6/263efficient market hypothesis (EMH)excess trading returnsinvestor’s behaviourbehavioural finance |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Christopher R. Stephens Harald A. Benink José Luís Gordillo Juan Pablo Pardo-Guerra |
spellingShingle |
Christopher R. Stephens Harald A. Benink José Luís Gordillo Juan Pablo Pardo-Guerra A New Measure of Market Inefficiency Journal of Risk and Financial Management efficient market hypothesis (EMH) excess trading returns investor’s behaviour behavioural finance |
author_facet |
Christopher R. Stephens Harald A. Benink José Luís Gordillo Juan Pablo Pardo-Guerra |
author_sort |
Christopher R. Stephens |
title |
A New Measure of Market Inefficiency |
title_short |
A New Measure of Market Inefficiency |
title_full |
A New Measure of Market Inefficiency |
title_fullStr |
A New Measure of Market Inefficiency |
title_full_unstemmed |
A New Measure of Market Inefficiency |
title_sort |
new measure of market inefficiency |
publisher |
MDPI AG |
series |
Journal of Risk and Financial Management |
issn |
1911-8066 1911-8074 |
publishDate |
2021-06-01 |
description |
Financial crises, such as the Great Financial Crisis of 2007–2009 and the COVID-19 Crisis of 2020–2021, lead to high volatility in financial markets and highlight the importance of the debate on the Efficient Markets Hypothesis, a corollary of which is that in an efficient market it should not be possible to systematically make excess returns. In this paper, we discuss a new empirical measure—Excess Trading Returns—that distinguishes between market and trading returns and that can be used to measure inefficiency. We define an Inefficiency Matrix that can provide a complete, empirical characterization of the inefficiencies inherent in a market. We illustrate its use in the context of empirical data from a pair of model markets, where information asymmetries can be clearly understood, and discuss the challenges of applying it to market data from commercial exchanges. |
topic |
efficient market hypothesis (EMH) excess trading returns investor’s behaviour behavioural finance |
url |
https://www.mdpi.com/1911-8074/14/6/263 |
work_keys_str_mv |
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