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of Capital Asset Pricing Model (CAPM), allowing for a wide class of error distributions which include normality as a … normality assumption is too restrictive when testing the CAPM. We also propose exact multivariate diagnostic checks (including … dans le contexte du modèle du CAPM (Capital Asset Pricing Model), permettent de considérer diverses classes de …
Persistent link: https://www.econbiz.de/10005100885
new tests are wild bootstrap implementations of score-based tests for the order of integration of a fractionally … in the presence of heteroskedasticity, but that the corresponding tests based on the wild bootstrap principle do. A Monte … bootstrap vis-à-vis the corresponding asymptotic tests in both heteroskedastic and homoskedastic environments. …
Persistent link: https://www.econbiz.de/10010886799
new tests are bootstrap implementations of score-based tests for the order of integration of a fractionally integrated … using a standard i.i.d. bootstrap admit pivotal asymptotic null distributions in the presence of heteroskedasticity, but … that the corresponding tests based on the wild bootstrap principle do. A Monte Carlo simulation study demonstrates that …
Persistent link: https://www.econbiz.de/10011147854
of Capital Asset Pricing Model (CAPM), allowing for a wide class of error distributions which include normality as a … is too restrictive when testing the CAPM. We also propose exact multivariate diagnostic checks (including tests for …In diesem Papier schlagen wir exakte likelihood-basierte Tests auf Mittelwert-Varianz- Effizienz im Rahmen des CAPM vor …
Persistent link: https://www.econbiz.de/10010295747
Persistent link: https://www.econbiz.de/10012991257
of Capital Asset Pricing Model (CAPM), allowing for a wide class of error distributions which include normality as a … is too restrictive when testing the CAPM. We also propose exact multivariate diagnostic checks (including tests for …
Persistent link: https://www.econbiz.de/10001731828
of Capital Asset Pricing Model (CAPM), allowing for a wide class of error distributions which include normality as a … is too restrictive when testing the CAPM. We also propose exact multivariate diagnostic checks (including tests for …In diesem Papier schlagen wir exakte likelihood-basierte Tests auf Mittelwert-Varianz- Effizienz im Rahmen des CAPM vor …
Persistent link: https://www.econbiz.de/10011431982
We analyze the joint out-of-sample predictive ability of a comprehensive set of 299 firm characteristics for cross-sectional stock returns. We develop a cross-sectional out-of-sample R2 statistic that provides an informative measure of the accuracy of cross-sectional return forecasts in terms of...
Persistent link: https://www.econbiz.de/10012852228
Cross-predictability denotes the fact that some assets can predict other assets' returns. I propose a novel performance-based measure that disentangles the economic value of cross-predictability into two components: the predictive power of one asset's signal for other assets' returns...
Persistent link: https://www.econbiz.de/10014584406
This paper compares various machine learning models to predict the cross-section of emerging market stock returns. We document that allowing for non-linearities and interactions leads to economically and statistically superior out-of-sample returns compared to traditional linear models. Although...
Persistent link: https://www.econbiz.de/10014236025