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Volatility Timing under Low-Volatility Strategy

Poh Ling Neo and Chyng Wen Tee
The Journal of Portfolio Management November 2021, jpm.2021.1.293; DOI: https://doi.org/10.3905/jpm.2021.1.293
Poh Ling Neo
is a senior lecturer at the School of Business at Singapore University of Social Sciences in Singapore
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Chyng Wen Tee
is an associate professor at the Lee Kong Chian School of Business at Singapore Management University in Singapore
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Abstract

The authors show that the slope of the volatility decile portfolio’s return profile contains valuable information that can be used to time volatility under different market conditions in the United States. During good (bad) market conditions, the high- (low-) volatility portfolio produces the highest return. The authors proceed to devise a volatility timing strategy based on statistical tests on the slope of the volatility decile portfolio’s return profile. Volatility timing is achieved by being aggressive during strong growth periods and conservative during market downturns. Superior performance is obtained, with an additional return of 4.1% observed in the volatility timing strategy, resulting in a fivefold improvement on accumulated wealth, along with statistically significant improvement in the Sortini ratio and the information ratio. The authors also demonstrate that stocks in the high-volatility portfolio are more strongly correlated compared to stocks in the low-volatility portfolio. Hence, the profitability of the volatility timing strategy can be attributed to successfully holding a diversified portfolio during bear markets and holding a concentrated growth portfolio during bull markets.

Key Findings

  • ▪ The return profile of the volatility decile portfolio is time-varying. Its slope contains vital information on market condition—high-volatility portfolio outperforms low-volatility portfolio during good market condition, but underperforms during bad market condition. Since market regime and asset price behaviors are persistent, the slope parameter can be used to time volatility exposure.

  • ▪ Holding the low-volatility portfolio benefits from the higher risk-adjusted return during general market condition. However, when the slope parameter is positive and statistically significant, it is optimal to hold the high-volatility portfolio for the subsequent period. This will ride on the higher return of high-volatility portfolio during strong growth periods. This leads to higher return and increased volatility, but both Sortini ratio and Information ratio exhibit statistically significant improvement.

  • ▪ Stocks in the low-volatility portfolio are less correlated than stocks in the high-volatility portfolio. The outperformance of the volatility timing strategy formulated in this paper can be attributed to holding a concentrated growth portfolio during good market conditions, and holding a diversified portfolio during bad market conditions, thus connecting the literature on low-volatility portfolio with studies on correlation structure and diversification.

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The Journal of Portfolio Management: 48 (8)
The Journal of Portfolio Management
Vol. 48, Issue 8
Emerging Markets 2022
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Volatility Timing under Low-Volatility Strategy
Poh Ling Neo, Chyng Wen Tee
The Journal of Portfolio Management Oct 2021, jpm.2021.1.293; DOI: 10.3905/jpm.2021.1.293

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Volatility Timing under Low-Volatility Strategy
Poh Ling Neo, Chyng Wen Tee
The Journal of Portfolio Management Oct 2021, jpm.2021.1.293; DOI: 10.3905/jpm.2021.1.293
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  • Article
    • Abstract
    • LOW-VOLATILITY STRATEGIES
    • RISK AND RETURN PROFILES UNDER DIFFERENT MARKET CONDITIONS
    • ADDING VOLATILITY TIMING TO THE LOW-VOLATILITY STRATEGY
    • ROBUSTNESS TESTS AND FURTHER DISCUSSIONS
    • CONCLUSIONS
    • ENDNOTES
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