NDLI: Stock Return Prediction with Fully Flexible Models and Coefficients

Content Provider	Scilit
Author	Byrne, Joseph P. Fu, Rong
Copyright Year	2016
Description	Journal: SSRN Electronic Journal We evaluate stock return predictability using a fully flexible Bayesian framework, which explicitly allows for different degrees of time-variation in coefficien
Related Links	https://mpra.ub.uni-muenchen.de/75366/1/MPRA_paper_75366.pdf https://papers.ssrn.com/sol3/Delivery.cfm?abstractid=2878743
ISSN	10914358
e-ISSN	15565068
DOI	10.2139/ssrn.2878743
Journal	SSRN Electronic Journal
Language	English
Publisher	Elsevier BV
Publisher Date	2016-01-01
Access Restriction	Open
Subject Keyword	Journal: SSRN Electronic Journal Return Prediction Fully Flexible Models
Content Type	Text
Resource Type	Article
Subject	Public Health, Environmental and Occupational Health Psychiatry and Mental Health

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