6533b829fe1ef96bd1289767
RESEARCH PRODUCT
Time Series Momentum in the US Stock Market: Empirical Evidence and Theoretical Implications
Javier GinerValeriy Zakamulinsubject
HistoryPolymers and PlasticsFinancial marketIndustrial and Manufacturing EngineeringTrend followingMomentum (finance)EconomicsEconometricsStock marketProfitability indexBusiness and International ManagementNull hypothesisEmpirical evidenceStatistical hypothesis testingdescription
There is much controversy in the academic literature on the presence of short-term trends in financial markets and the trend-following strategy's profitability. This paper restricts its attention to the study of time-series momentum (TSMOM) in the US stock market. The paper aims to suggest answers to several important questions regarding TSMOM and to explain the existing controversy. Our answer to the question, whether short-term trends exist, is strongly affirmative. For the first time, we suppose that the returns follow a p-order autoregressive process with p>1 and evaluate this process's parameters. Fairly accurate knowledge of the momentum generating process allows us to provide analytical results on the profitability of the TSMOM strategy. Our answer to the question, whether the TSMOM strategy is superior to the buy-and-hold strategy, is also affirmative. Finally, we explain the lack of scientific evidence on the TSMOM strategy's profitability. We estimate the power of the statistical test for superiority of the TSMOM strategy and find that the power is much below the acceptable level. Consequently, all empirical tests for the TSMOM strategy's profitability suffer from the low power problem and tend not to reject the false null hypothesis.
year | journal | country | edition | language |
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2020-01-01 | SSRN Electronic Journal |