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Protected Adaptive Asset Allocation

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  • Bellu, Mirko
  • Conversano, Claudio

Abstract

Protected Adaptive Asset Allocation (PAAA) is a tactical asset allocation model that targets an optimal risk/returns ratio using both a momentum index to capture the short-run dynamics and cash protection in negative market periods to reduce drawdowns. Empirical evidence shows that PAAA improves upon the performance of alternative models in terms of the risk/return profile when applied to a well-diversified dataset in the long term, based on the results of in/out-of-sample analyses, and when the analysis is restricted to a financial crisis period. For less diversified portfolios, PAAA is equivalent to an Adaptive Asset Allocation that includes a liquidity component.

Suggested Citation

  • Bellu, Mirko & Conversano, Claudio, 2020. "Protected Adaptive Asset Allocation," Finance Research Letters, Elsevier, vol. 32(C).
  • Handle: RePEc:eee:finlet:v:32:y:2020:i:c:s1544612317306426
    DOI: 10.1016/j.frl.2019.01.007
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    References listed on IDEAS

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    1. Eugene F. Fama & Kenneth R. French, 2008. "Dissecting Anomalies," Journal of Finance, American Finance Association, vol. 63(4), pages 1653-1678, August.
    2. Chiang, Min-Hsien & Huang, Hsin-Yi, 2011. "Stock market momentum, business conditions, and GARCH option pricing models," Journal of Empirical Finance, Elsevier, vol. 18(3), pages 488-505, June.
    3. Mao, Mike Qinghao & Wei, K.C. John, 2014. "Price and earnings momentum: An explanation using return decomposition," Journal of Empirical Finance, Elsevier, vol. 28(C), pages 332-351.
    4. repec:bla:jfinan:v:53:y:1998:i:6:p:1839-1885 is not listed on IDEAS
    5. Xiaohui NI & Yannick MALEVERGNE & Didier SORNETTE & Peter WOEHRMANN, 2011. "Robust reverse engineering of crosssectional returns and improved portfolio allocation performance using the CAPM," Swiss Finance Institute Research Paper Series 11-03, Swiss Finance Institute.
    6. Støve, Bård & Tjøstheim, Dag & Hufthammer, Karl Ove, 2014. "Using local Gaussian correlation in a nonlinear re-examination of financial contagion," Journal of Empirical Finance, Elsevier, vol. 25(C), pages 62-82.
    7. Harrison Hong & Jeremy C. Stein, 1999. "A Unified Theory of Underreaction, Momentum Trading, and Overreaction in Asset Markets," Journal of Finance, American Finance Association, vol. 54(6), pages 2143-2184, December.
    8. Harry Markowitz, 1952. "Portfolio Selection," Journal of Finance, American Finance Association, vol. 7(1), pages 77-91, March.
    9. Andrew Ang & Robert J. Hodrick & Yuhang Xing & Xiaoyan Zhang, 2006. "The Cross‐Section of Volatility and Expected Returns," Journal of Finance, American Finance Association, vol. 61(1), pages 259-299, February.
    10. 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.
    11. Ang, Andrew & Chen, Joseph, 2002. "Asymmetric correlations of equity portfolios," Journal of Financial Economics, Elsevier, vol. 63(3), pages 443-494, March.
    12. Karolyi, G. Andrew & Kho, Bong-Chan, 2004. "Momentum strategies: some bootstrap tests," Journal of Empirical Finance, Elsevier, vol. 11(4), pages 509-536, September.
    13. 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.
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    More about this item

    Keywords

    Adaptive Asset Allocation; Momentum; Cash protection; Sharpe ratio; Modern Portfolio Theory; Portfolio management;
    All these keywords.

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • 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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