I have not read the paper yet, but the researchers look credible.


Abstract:     
We find strong lunar cycle effects in stock returns. Specifically,
returns in the 15 days around new moon dates are about double the
returns in the 15 days around full moon dates. This pattern of returns
is pervasive; we find it for all major U.S. stock indexes over the
last 100 years and for nearly all major stock indexes of 24 other
countries over the last 30 years. In contrast, we find no reliable or
economically important evidence of lunar cycle effects in return
volatility and volume of trading. Taken as a whole, this evidence is
consistent with popular beliefs that lunar cycles affect human behavior.

  http://papers.ssrn.com/sol3/papers.cfm?abstract_id=281665     


Conclusion and suggestions for future research
This paper documents a lunar cycle effect in stock returns around the
world.
Returns around new moon dates are about double the returns around full
moon dates.
This pattern of returns is pervasive. We find it for all major U.S.
stock indexes over the
last 100 years and for nearly all of 24 other countries analyzed over
the last 30 years.
23
The economic magnitude of the new moon/full moon difference is large,
with annualized
differences on the magnitude of 5 to 10 percent, rivaling and probably
exceeding the
market risk premium. However, we find no reliable evidence of lunar
cycle effects in
return volatility or volume of trading.
Similar to the Monday effect, the nature of the lunar cycle effect in
returns makes
it unlikely that it will translate into exploitable trading
strategies. However, the lunar
cycle effect is intriguing because it provides strong new evidence
about a link between
stock prices and human behavior that is difficult to fully explain in
terms of traditional
economic thought. Some of our preliminary findings also suggest
possible future areas
for exploration. For example, we find some evidence of lunar cycle
effects in bond
prices and interest rate changes. However, this evidence is mixed and
rather limited,
suggesting that it might be useful to expand the investigation to
larger samples and a
wider array of asset prices (e.g., commodities, futures, and options).
Since realized stock
returns reflect unexpected changes in expectations, another
possibility is to investigate
whether changes in analysts' forecasts are more optimistic during new
moon than in full
moon periods. Such additional evidence would sharpen our understanding
of the
magnitude and the causes of the lunar cycle effect and offer links and
implications to the
wider world of finance and economics.
Finally, the evidence from stock returns differs from the conclusions
of the lunar
cycle literature in psychology and medicine. The consensus in this
literature is that there
is no reliable relation between lunar cycles and human behavior.
However, most of these
studies investigate deviant and fairly extreme behavior and rely on
limited samples, often
on the magnitude of a few dozen to a few hundred observations. This
approach
24
potentially results in low statistical power, especially if lunar
cycle effects on human
behavior exist but are fairly mild. In contrast, the evidence in this
study relies on stock
price indexes, which aggregate routine investment decisions of
hundreds of millions of
people over periods ranging from dozens of years to over one hundred
years. The
difference in findings suggests that it might be fruitful to explore
new approaches to
identifying a link between lunar cycles and human behavior. For
example, the evidence
in this study suggests that people are more optimistic during new moon
periods than in
full moon periods. This evidence could be used to design controlled
experiments that
investigate for predictable changes in relative optimism as a function
of the lunar cycle.




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