Testing Return Predictability with the Dividend-Growth Equation: An Anatomy of the Dog

dc.contributor.authorHjalmarsson, Erik
dc.contributor.authorKiss, Tamás
dc.contributor.organizationDepartment of Economics, University of Gothenburgsv
dc.date.accessioned2019-06-17T08:34:12Z
dc.date.available2019-06-17T08:34:12Z
dc.date.issued2019-06
dc.descriptionJEL: C22; G12sv
dc.description.abstractThe dividend-growth based test of return predictability, proposed by Cochrane [2008, Review of Financial Studies 21, 1533-1575], is similar to a likelihood-based test of the standard return-predictability model, treating the autoregressive parameter of the dividend-price ratio as known. In comparison to standard OLS-based inference, both tests achieve power gains from a strong use of the exact value pos- tulated for the autoregressive parameter. When compared to the likelihood-based test, there are no power advantages for the dividend-growth based test. In common implementations, with the autoregressive parameter set equal to the corresponding OLS estimate, Cochrane's test also suffers from severe size distortions.sv
dc.format.extent26sv
dc.identifier.issn1403-2465
dc.identifier.urihttp://hdl.handle.net/2077/60486
dc.language.isoengsv
dc.relation.ispartofseriesWorking Papers in Economicssv
dc.relation.ispartofseries768sv
dc.subjectPredictive regressionssv
dc.subjectPresent-value relationshipsv
dc.subjectStock-return predictabilitysv
dc.titleTesting Return Predictability with the Dividend-Growth Equation: An Anatomy of the Dogsv
dc.typeTextsv
dc.type.svepreportsv

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