Liu, Z., Lu, S., Li, B. and Wang, S. ORCID: https://orcid.org/0000-0003-2113-5521
(2023)
Time series momentum and reversal: intraday information from realized semivariance.
Journal of Empirical Finance, 72.
pp. 54-77.
ISSN 0927-5398
doi: 10.1016/j.jempfin.2023.03.001
Abstract/Summary
The presence of time series momentum has been widely documented in financial markets across asset classes and countries. In this study, we find a predictable pattern of the realized semivariance estimators for the returns of commodity futures, particularly during the reversals of time series momentum. Based on this finding, we propose a rule-based time series momentum strategy that has a statistically significant higher Sharpe ratio compared to the benchmark of the original time series momentum strategy in the out-of-sample data. The results are robust to different subsamples, lookback windows, volatility scaling, execution lag, and transaction cost.
Altmetric Badge
Item Type | Article |
URI | https://reading-clone.eprints-hosting.org/id/eprint/111035 |
Item Type | Article |
Refereed | Yes |
Divisions | Arts, Humanities and Social Science > School of Politics, Economics and International Relations > Economics |
Publisher | Elsevier |
Download/View statistics | View download statistics for this item |
Downloads
Downloads per month over past year
University Staff: Request a correction | Centaur Editors: Update this record