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Market "Efficiency" in a Market with Heterogeneous Information

Authors: Figlewski, Stephen C;

Market "Efficiency" in a Market with Heterogeneous Information

Abstract

It is commonly felt that a financial market achieves informational efficiency as traders with the best information and the most skill make profits at the expense of those with inferior information or ability and come to dominate the market. This paper develops a model of a speculative market in which this redistribution of wealth among traders with different information and ability can be studied. In the short run the market tends toward increased efficiency, but in neither the short nor the long run is full efficiency likely. The average deviation from efficiency is shown to depend on traders' characteristics such as the quality and diversity of their information and their risk aversion.

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    96
    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
96
Top 10%
Top 1%
Average
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