Economic constraints and stock return predictability: A new approach
Feng Ma and
International Review of Financial Analysis, 2019, vol. 63, issue C, 1-9
In this paper, we propose a new approach to impose economic constraints on the time-series forecasts of stock return. It is unlikely or risky for a rational investor to rely on forecast outliers to trade stocks. Given this, our new constraint approach truncates the stock return forecasts at the extremely positive and negative values. The empirical results suggest that the new economic constraint approach generate more accurate and reliable return forecasts than the unconstrained method for both univariate regression models and multivariate models. Furthermore, our new constraint approach also outperforms two prevailing constraint approaches of Campbell and Thompson (2008) and Pettenuzzo, Timmermann, and Valkanov (2014). In addition, a mean-variance investor can realize sizeable economic gains by using our new constraint approach to allocate asset relative to using unconstrained counterpart or other popular constrained models.
Keywords: Stock return predictability; Economic constraints; Forecast outlier; Asset allocation (search for similar items in EconPapers)
JEL-codes: C32 C53 C58 G11 G17 (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
Full text for ScienceDirect subscribers only
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:eee:finana:v:63:y:2019:i:c:p:1-9
Access Statistics for this article
International Review of Financial Analysis is currently edited by B.M. Lucey
More articles in International Review of Financial Analysis from Elsevier
Bibliographic data for series maintained by Dana Niculescu ().