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Journal of Forecasting
Article . 2014 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
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Does Mood Explain the Monday Effect?

Authors: Abu Bakar, Azizah; Siganos, Antonios; Vagenas-Nanos, Evangelos;

Does Mood Explain the Monday Effect?

Abstract

ABSTRACTA number of studies have explored the sources of the Monday effect, according to which returns are on average negative on Mondays. We contribute to the literature by exploring whether a direct measure of mood explains the Monday effect. In line with psychological literature, a greater proportion of investors are more pessimistic in the early days of the week, and become more optimistic as the week progresses. We use novel daily mood data from Facebook across 20 international markets to explore the impact of mood on the Monday anomaly. We find that the Monday effect disappears after controlling for mood. In line with our hypothesis that mood drives the Monday effect, we find that the effect is more prominent within small capitalization indices and within collectivist and high‐uncertainty‐avoidance countries. Investors could consider mood levels to forecast Mondays with more (less) pronounced negative returns. Copyright © 2014 John Wiley & Sons, Ltd.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
34
Top 10%
Top 10%
Top 10%
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