EconPapers    
Economics at your fingertips  
 

The importance of large shocks to return predictability

Juan Diaz, Diogo Duarte, Hamilton Galindo, Alexis Montecinos and Santiago Truffa

Pacific-Basin Finance Journal, 2021, vol. 68, issue C

Abstract: Based on the rare disasters literature of Barro and Ursúa (2008), Barro and Ursúa (2009), and Barro and Jin (2011), we show that the predictability of the S&P500 returns increases substantially when we control the regressions for major historical events, such as the Great Depression, World War I, World War II, the oil crisis of 1973-1974, and the subprime mortgage crisis. Controlling for these large shocks, the model with the dividend-earnings ratio as the regressor reaches an in-sample performance with an R2 of 27.6%, while all the other models increase their R2 after correcting for these large shocks. In addition, we show that controlling for major historical events improves the prediction performance, reducing the RSME in all of the 21 models we investigate. We check the robustness of our method by investigating the effects of controlling for the China trade shock of 2001 on the R2 and RMSE of the bias-corrected regressions. Our findings suggest that correcting for these shocks is critical to improve prediction performance.

Keywords: Return predictability; Bias correction; Directional trading; In- and out-of-sample forecast; China trade shock (search for similar items in EconPapers)
JEL-codes: C13 C18 C58 G12 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0927538X21000251
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:pacfin:v:68:y:2021:i:c:s0927538x21000251

DOI: 10.1016/j.pacfin.2021.101518

Access Statistics for this article

Pacific-Basin Finance Journal is currently edited by K. Chan and S. Ghon Rhee

More articles in Pacific-Basin Finance Journal from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2021-12-18
Handle: RePEc:eee:pacfin:v:68:y:2021:i:c:s0927538x21000251