EconPapers    
Economics at your fingertips  
 

Nonparametric tests for market timing ability using daily mutual fund returns

Jing Ding, Lei Jiang, Xiaohui Liu and Liang Peng

Journal of Economic Dynamics and Control, 2023, vol. 150, issue C

Abstract: When using daily mutual fund returns to study market timing ability, heavy tails and heteroscedasticity significantly challenge the existing methods. We propose a weighted nonparametric measure and test for market timing. The test finds different results from the traditional parametric inference concerning timing. By examining the holding characteristics of the funds with different levels of timing ability, we find that funds with positive timing ability hold stocks with lower trading frictions. We find evidence of a tradeoff between market timing ability and stock picking skill after excluding funds with zero timing ability, which is robust to different benchmark models.

Keywords: Market timing; Mutual fund; Weighted nonparametric measure (search for similar items in EconPapers)
JEL-codes: C58 G11 G23 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0165188923000416
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:dyncon:v:150:y:2023:i:c:s0165188923000416

DOI: 10.1016/j.jedc.2023.104635

Access Statistics for this article

Journal of Economic Dynamics and Control is currently edited by J. Bullard, C. Chiarella, H. Dawid, C. H. Hommes, P. Klein and C. Otrok

More articles in Journal of Economic Dynamics and Control from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:dyncon:v:150:y:2023:i:c:s0165188923000416