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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
| Call Number | Location | Available |
|---|---|---|
| PSB lt.dasar - Pascasarjana | 1 |
| Penerbit | : The American Finance Association |
|---|---|
| Edisi | - |
| Subjek | Forecasting Multivariate analysis Models Volatility studies Rates of return |
| ISBN/ISSN | 221082 |
| Klasifikasi | NONE |
| Deskripsi Fisik | - |
| Info Detail Spesifik | JOF6203 ; BACA DITEMPAT |
| Other Version/Related | Tidak tersedia versi lain |
| Lampiran Berkas | Tidak Ada Data |