IDEAS home Printed from https://ideas.repec.org/a/pal/assmgt/v18y2017i2d10.1057_s41260-016-0010-y.html
   My bibliography  Save this article

The value of stop-loss, stop-gain strategies in dynamic asset allocation

Author

Listed:
  • Austin Shelton

    (Florida Atlantic University)

Abstract

Dynamic asset allocation strategies which utilize stop-loss and stop-gain rules may dramatically decrease risk and even increase long-term return relative to other traditional asset allocation strategies. I introduce a dynamic asset allocation strategy which shifts portfolio weights based on predefined stop-loss and stop-gain rules. The two-asset (S&P mutual fund and bond mutual fund) strategy tested from 1990 to 2012 produces an annual geometric return of 8.45% vs. 7.50% for the underlying S&P 500 Index fund with 50% less volatility (9.41% vs. 18.76% for the S&P index fund). In addition, the strategy displays a positive and significant CAPM alpha over the sample period. The strategy’s very strong results are robust to changes in the user-specified parameters, such as the level and number of stop placements. All findings indicate that portfolio stop-loss and stop-gain rule-based strategies comprise a promising dynamic asset allocation approach deserving of further research and development.

Suggested Citation

  • Austin Shelton, 2017. "The value of stop-loss, stop-gain strategies in dynamic asset allocation," Journal of Asset Management, Palgrave Macmillan, vol. 18(2), pages 124-143, March.
    • Handle: RePEc:pal:assmgt:v:18:y:2017:i:2:d:10.1057_s41260-016-0010-y
    DOI: 10.1057/s41260-016-0010-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41260-016-0010-y
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1057/s41260-016-0010-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Bryan J. Noeth & Rajdeep Sengupta, 2010. "Flight to safety and U.S. Treasury securities," The Regional Economist, Federal Reserve Bank of St. Louis, issue Jul, pages 18-19.
    2. Asger Lunde & Peter R. Hansen, 2005. "A forecast comparison of volatility models: does anything beat a GARCH(1,1)?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(7), pages 873-889.
    3. Bollerslev, Tim & Ole Mikkelsen, Hans, 1996. "Modeling and pricing long memory in stock market volatility," Journal of Econometrics, Elsevier, vol. 73(1), pages 151-184, July.
    4. Conrad, Jennifer & Kaul, Gautam, 1988. "Time-Variation in Expected Returns," The Journal of Business, University of Chicago Press, vol. 61(4), pages 409-425, October.
    5. Alexandre Hocquard & Nicolas Papageorgiou & Bruno Remillard, 2015. "The payoff distribution model: an application to dynamic portfolio insurance," Quantitative Finance, Taylor & Francis Journals, vol. 15(2), pages 299-312, February.
    6. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    7. Fama, Eugene F & French, Kenneth R, 1988. "Permanent and Temporary Components of Stock Prices," Journal of Political Economy, University of Chicago Press, vol. 96(2), pages 246-273, April.
    8. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    9. Philip H. Dybvig, 1988. "Inefficient Dynamic Portfolio Strategies or How to Throw Away a Million Dollars in the Stock Market," Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 67-88.
    10. Jegadeesh, Narasimhan, 1990. "Evidence of Predictable Behavior of Security Returns," Journal of Finance, American Finance Association, vol. 45(3), pages 881-898, July.
    11. Poterba, James M. & Summers, Lawrence H., 1988. "Mean reversion in stock prices : Evidence and Implications," Journal of Financial Economics, Elsevier, vol. 22(1), pages 27-59, October.
    12. Jegadeesh, Narasimhan & Titman, Sheridan, 1993. "Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency," Journal of Finance, American Finance Association, vol. 48(1), pages 65-91, March.
    13. De Bondt, Werner F M & Thaler, Richard H, 1987. "Further Evidence on Investor Overreaction and Stock Market Seasonalit y," Journal of Finance, American Finance Association, vol. 42(3), pages 557-581, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Matteo Foglia & Maria Cristina Recchioni & Gloria Polinesi, 2021. "Smart Beta Allocation and Macroeconomic Variables: The Impact of COVID-19," Risks, MDPI, vol. 9(2), pages 1-25, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Minye Zhang & Yongheng Deng, 2010. "Is the Mean Return of Hotel Real Estate Stocks Apt to Overreact to Past Performance?," The Journal of Real Estate Finance and Economics, Springer, vol. 40(4), pages 497-543, May.
    2. Fernando Rubio, 2005. "Eficiencia De Mercado, Administracion De Carteras De Fondos Y Behavioural Finance," Finance 0503028, University Library of Munich, Germany, revised 23 Jul 2005.
    3. Plastun, Alex & Sibande, Xolani & Gupta, Rangan & Wohar, Mark E., 2021. "Evolution of price effects after one-day abnormal returns in the US stock market," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    4. Chou, Pin-Huang & Wei, K.C. John & Chung, Huimin, 2007. "Sources of contrarian profits in the Japanese stock market," Journal of Empirical Finance, Elsevier, vol. 14(3), pages 261-286, June.
    5. Chae, Joon & Kim, Ryumi, 2020. "Contrarian profits of the firm-specific component on stock returns," Pacific-Basin Finance Journal, Elsevier, vol. 61(C).
    6. Stefan Nagel, 2013. "Empirical Cross-Sectional Asset Pricing," Annual Review of Financial Economics, Annual Reviews, vol. 5(1), pages 167-199, November.
    7. Li, Kai, 2021. "Nonlinear effect of sentiment on momentum," Journal of Economic Dynamics and Control, Elsevier, vol. 133(C).
    8. Adam Zaremba & Jacob Koby Shemer, 2018. "Price-Based Investment Strategies," Springer Books, Springer, number 978-3-319-91530-2, September.
    9. Michael Dempsey, 2015. "Stock Markets, Investments and Corporate Behavior:A Conceptual Framework of Understanding," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number p1007, January.
    10. Albuquerque, Rui & Miao, Jianjun, 2014. "Advance information and asset prices," Journal of Economic Theory, Elsevier, vol. 149(C), pages 236-275.
    11. Daniel, Kent & Hirshleifer, David & Teoh, Siew Hong, 2002. "Investor psychology in capital markets: evidence and policy implications," Journal of Monetary Economics, Elsevier, vol. 49(1), pages 139-209, January.
    12. Kathrin Tauscher & Martin Wallmeier, 2016. "Portfolio Overlapping Bias in Tests of the Fama–French Three†Factor Model," European Financial Management, European Financial Management Association, vol. 22(3), pages 367-393, June.
    13. Balvers, Ronald J. & Wu, Yangru, 2006. "Momentum and mean reversion across national equity markets," Journal of Empirical Finance, Elsevier, vol. 13(1), pages 24-48, January.
    14. Aboulamer, Anas & Kryzanowski, Lawrence, 2016. "Are idiosyncratic volatility and MAX priced in the Canadian market?," Journal of Empirical Finance, Elsevier, vol. 37(C), pages 20-36.
    15. Fama, Eugene F. & French, Kenneth R., 2007. "Disagreement, tastes, and asset prices," Journal of Financial Economics, Elsevier, vol. 83(3), pages 667-689, March.
    16. Achim Himmelmann & Dirk Schiereck & Marc Simpson & Moritz Zschoche, 2012. "Long-term reactions to large stock price declines and increases in the European stock market: a note on market efficiency," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 36(2), pages 400-423, April.
    17. Spierdijk, Laura & Bikker, Jacob A. & van den Hoek, Pieter, 2012. "Mean reversion in international stock markets: An empirical analysis of the 20th century," Journal of International Money and Finance, Elsevier, vol. 31(2), pages 228-249.
    18. Sebastien Valeyre & Sofiane Aboura & Denis Grebenkov, 2019. "The Reactive Beta Model," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 42(1), pages 71-113, March.
    19. Caporin, Massimiliano & Ranaldo, Angelo & Santucci de Magistris, Paolo, 2013. "On the predictability of stock prices: A case for high and low prices," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 5132-5146.
    20. Stephen Foerster, 2011. "Double then Nothing: Why Stock Investments Relying on Simple Heuristics May Disappoint," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 3(2), pages 115-140, September.

    More about this item

    Keywords

    asset allocation; stop-loss; portfolio theory; risk management; dynamic asset allocation;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G01 - Financial Economics - - General - - - Financial Crises
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • G1 - Financial Economics - - General Financial Markets

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pal:assmgt:v:18:y:2017:i:2:d:10.1057_s41260-016-0010-y. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.palgrave-journals.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.