A trading strategy with dual-beta estimates

Abstract

PurposeThe purpose of this paper is to adopt a trading strategy using upside and downside beta estimates.Design/methodology/approachWith daily data from April 30, 1997 to April 30, 2021, the author utilizes the dual-beta model when estimating upside and downside betas, in constructing and rebalancing a portfolio from a buy list of Dow Jones Industrial Average component stocks. Benchmarks include the S&P 500 Total Return index, Invesco S&P 500 Low Volatility ETF (SPLV) and iShares MSCI USA Min Vol Factor ETF (USMV). The dual-beta portfolio performance is assessed by economic cycles and by the Fama-French five-factor model.FindingsThe dual-beta portfolio outperforms the benchmarks for the whole period under study as well as the majority of sub-periods. It is the only strategy with a statistically positive and economically significant risk-adjusted return.Originality/valueThe author offers a simple stock trading strategy for generating wealth.