Learning about Risk and Return: A Simple Model of Bubbles and Crashes

dc.contributor.authorBranch, William A.
dc.contributor.authorEvans, George W., 1949-
dc.date.accessioned2008-03-20T16:40:42Z
dc.date.available2008-03-20T16:40:42Z
dc.date.issued2008-01-31
dc.description42 p.en
dc.description.abstractThis paper demonstrates that an asset pricing model with least-squares learning can lead to bubbles and crashes as endogenous responses to the fundamentals driving asset prices. When agents are risk-averse they generate forecasts of the conditional variance of a stock’s return. Recursive updating of the conditional variance and expected return implies two mechanisms through which learning impacts stock prices: occasional shocks may lead agents to lower their risk estimate and increase their expected return, thereby triggering a bubble; along a bubble path recursive estimates of risk will increase and crash the bubble.en
dc.format.extent3742112 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttps://hdl.handle.net/1794/5776
dc.language.isoen_USen
dc.publisherUniversity of Oregon, Dept of Economicsen
dc.relation.ispartofseriesUniversity of Oregon Economics Department Working Papers ; 2008-1en
dc.subjectRisken
dc.subjectAsset pricingen
dc.subjectBubblesen
dc.subjectAdaptive learningen
dc.subjectStocks -- Pricesen
dc.titleLearning about Risk and Return: A Simple Model of Bubbles and Crashesen
dc.typeWorking Paperen

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