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Momentum Trading, Return Chasing, and Predictable Crashes

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  • Ghysels, Eric
  • Jagannathan, Ravi
  • Chabot, Benjamin

Abstract

We combine self-collected historical data from 1867 to 1907 with CRSP data from 1926 to 2012, to examine over 140 years of risk and return of one of the most popular mechanical trading strategies?momentum. We find that the momentum strategy has earned abnormally high risk-adjusted returns?a three factor alpha of 1 percent per month between 1927 and 2012 and 0.5 percent per month between 1867 and 1907?both statistically significantly different from zero. However, the momentum strategy also exposed investors to large losses (crashes) during both periods. Momentum crashes were predictable. Crashes were more likely when momentum had recently performed well (both eras), interest rates were relatively low (1867?1907), or momentum had recently outperformed the stock market (CRSP era) - times when borrowing or attracting return chasing ?blind capital? would have been easier. We argue based on a stylized model and simulated outcomes from a richer model that a money manager who competes for funds from return-chasing investors and is compensated via fees that are convex in the amount of money managed and the return on that money has an incentive to remain invested in momentum even when the crash risk is known to be high.

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  • Ghysels, Eric & Jagannathan, Ravi & Chabot, Benjamin, 2014. "Momentum Trading, Return Chasing, and Predictable Crashes," CEPR Discussion Papers 10234, C.E.P.R. Discussion Papers.
  • Handle: RePEc:cpr:ceprdp:10234
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    2. Afees A. Salisu & Juncal Cuñado & Kazeem Isah & Rangan Gupta, 2021. "Stock markets and exchange rate behavior of the BRICS," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(8), pages 1581-1595, December.
    3. Kuk Mo Jung, 2017. "Liquidity Risk And Time-Varying Correlation Between Equity And Currency Returns," Economic Inquiry, Western Economic Association International, vol. 55(2), pages 898-919, April.
    4. Gino Cenedese & Richard Payne & Lucio Sarno & Giorgio Valente, 2016. "What Do Stock Markets Tell Us about Exchange Rates?," Review of Finance, European Finance Association, vol. 20(3), pages 1045-1080.
    5. Alquist, Ron & Chabot, Benjamin R. & Yamarthy, Ram, 2022. "The price of property rights: Institutions, finance, and economic growth," Journal of International Economics, Elsevier, vol. 137(C).
    6. Adam Zaremba, 2019. "The Cross Section of Country Equity Returns: A Review of Empirical Literature," JRFM, MDPI, vol. 12(4), pages 1-26, October.
    7. Wang, Xinjie & Xiao, Yaqing & Yan, Hongjun & Zhang, Jinfan, 2021. "Under-reaction in the sovereign CDS market," Journal of Banking & Finance, Elsevier, vol. 130(C).
    8. Dobrynskaya, Victoria, 2019. "Avoiding momentum crashes: Dynamic momentum and contrarian trading," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 63(C).
    9. Lee, Hsiu-Chuan & Lee, Yun-Huan & Lu, Yang-Cheng & Wang, Yu-Chun, 2020. "States of psychological anchors and price behavior of Japanese yen futures," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    10. Renata Guobužaitė & Deimantė Teresienė, 2021. "Can Economic Factors Improve Momentum Trading Strategies? The Case of Managed Futures during the COVID-19 Pandemic," Economies, MDPI, vol. 9(2), pages 1-16, May.
    11. Jung, JiYong & Jung, Kuk Mo, 2021. "Stock market uncertainty and uncovered equity parity deviation: Evidence from Asia," Journal of Asian Economics, Elsevier, vol. 73(C).
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    13. Victoria Dobrynskaya, 2017. "Dynamic Momentum and Contrarian Trading," HSE Working papers WP BRP 61/FE/2017, National Research University Higher School of Economics.
    14. Aftab, Muhammad & Ahmad, Rubi & Ismail, Izlin, 2018. "Examining the uncovered equity parity in the emerging financial markets," Research in International Business and Finance, Elsevier, vol. 45(C), pages 233-242.

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    More about this item

    Keywords

    Limits-to-arbitrage; Momentum;

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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