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Finding the Risk-Return Trade-Off With Google

Authors: Pedro Piccoli;

Finding the Risk-Return Trade-Off With Google

Abstract

Investor attention is central to explaining the mean-variance puzzle. Using Google Search Volumes as a proxy to attention, I document a positive trade-off during low attention periods that is significantly undermined when attention is high. The negative association between on-line searches and the trade-off is also present in the time-varying analysis. I also find that this deterioration can be explained by the escalation of risk brought about by the entry of retail investors into the market. The results are robust for several alternative explanations, such as data periodicity, conditional variance measures, on-line search terminologies and macroeconomic variables, and provide further support for the importance of noise-traders to stock market inefficiency.

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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!
0
Average
Average
Average
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