This paper investigates the relationship between seven mood-proxy variables and a global equity dataset using a variety of group tests. The mood-proxy variables are constructed from weather data (precipitation, temperature, wind, geomagnetic storms) and biorhythm data (seasonal affective disorder, daylight savings time changes, lunar phases). This study contributes a greater understanding of the relationship between mood and equity pricing through testing the strength of the relationship between groups of mood-proxy variables and both returns and variance. Using a large and globally diverse equity dataset, robust econometric testing approaches, and testing deseasonalised and regular weather variables, we conclude that seasonal affective disorder and low temperatures show the greatest relationship with equity pricing.
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
page. Note that these files are not on the IDEAS
site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Volume (Year): 18 (2008) Issue (Month): 2 (April) Pages: 145-164 Download reference. The following formats are available: HTML
(with abstract),
plain text
(with abstract),
BibTeX,
RIS (EndNote, RefMan, ProCite),
ReDIF