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Simple forecasts and paradigm shifts

Hong, Harrison - ; Stein, Jeremy C. - ; Yu, Jialin - ;

We study the asset pricing implications of learning in an environment in which the true model of the world is a multivariate one, but agents update only over the class of simple univariate models. Thus, if a particular simple model does a poor job of forecasting over a period of time, it is discarded in favor of an alternative simple model. The theory yields a number of distinctive predictions for stock returns, generating forecastable variation in the magnitude of the value-glamour return differential, in volatility, and in the skewness of returns. We validate several of these predictions empirically..Printed Journal


Ketersediaan

Call NumberLocationAvailable
PSB lt.dasar - Pascasarjana1
Penerbit: The American Finance Association
Edisi-
SubjekForecasting
Multivariate analysis
Models
Volatility
studies
Rates of return
ISBN/ISSN221082
KlasifikasiNONE
Deskripsi Fisik-
Info Detail SpesifikJOF6203 ; BACA DITEMPAT
Other Version/RelatedTidak tersedia versi lain
Lampiran BerkasTidak Ada Data

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