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Noncausality and asset pricing

Authors: Lof, Matthijs;

Noncausality and asset pricing

Abstract

Summary: Misspecification of agents' information sets or expectation formation mechanisms may lead to noncausal autoregressive representations of asset prices. Within the class of linear (vector) autoregressions, annual US stock prices are found to be best described by noncausal models, implying that agents' expectations are not revealed to an outside observer such as an econometrician observing only realized market data. A simulation study shows that noncausal asset prices are observed when the data are generated by asset-pricing models featuring heterogeneous expectations.

Keywords

G12 - Asset Pricing, Bond Interest Rates, noncausal autoregression, Trading Volume, C59 - Other, D84 - Expectations, noncausal autoregressions, stock prices, heterogeneous expectations, stock prices, Speculations, Applications of statistics to economics, nonfundamentalness, Interest rates, asset pricing, etc. (stochastic models), jel: jel:D84, jel: jel:G12, jel: jel:C59

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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!
4
Average
Average
Average
bronze