IDEAS home Printed from https://ideas.repec.org/a/ijb/journl/v15y2016i1p79-83.html
   My bibliography  Save this article

The Returns and Risk of Dynamic Investment Strategies: A Simulation Comparison

Author

Listed:
  • Richard Lu

    (Department of Risk Management and Insurance, Feng Chia University, Taiwan)

Abstract

No abstract is available for this item.

Suggested Citation

  • Richard Lu, 2016. "The Returns and Risk of Dynamic Investment Strategies: A Simulation Comparison," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 15(1), pages 79-83, June.
    • Handle: RePEc:ijb:journl:v:15:y:2016:i:1:p:79-83
    as

    Download full text from publisher

    File URL: https://ijbe.fcu.edu.tw/assets/ijbe/past_issue/No.15-1/pdf/vol_15-1-5.pdf
    Download Restriction: no
    File URL: https://ijbe.fcu.edu.tw/assets/ijbe/past_issue/No.15-1/abstract/05.html
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ilia D. Dichev, 2007. "What Are Stock Investors’ Actual Historical Returns? Evidence from Dollar-Weighted Returns," American Economic Review, American Economic Association, vol. 97(1), pages 386-401, March.
    2. Cesari, Riccardo & Cremonini, David, 2003. "Benchmarking, portfolio insurance and technical analysis: a Monte Carlo comparison of dynamic strategies of asset allocation," Journal of Economic Dynamics and Control, Elsevier, vol. 27(6), pages 987-1011, April.
    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. Amarjit Gill & Harvinder S. Mand & Afshin Amiraslany & John D. Obradovich, 2019. "The Impact of Internal Financing Sources and Bank Financing on Information Technology Investment," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 18(1), pages 1-16, June.

    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. Ben-Rephael, Azi & Kandel, Shmuel & Wohl, Avi, 2012. "Measuring investor sentiment with mutual fund flows," Journal of Financial Economics, Elsevier, vol. 104(2), pages 363-382.
    2. Dichtl, Hubert & Drobetz, Wolfgang, 2011. "Portfolio insurance and prospect theory investors: Popularity and optimal design of capital protected financial products," Journal of Banking & Finance, Elsevier, vol. 35(7), pages 1683-1697, July.
    3. Tetiana Davydiuk & Scott Richard & Ivan Shaliastovich & Amir Yaron, 2023. "How Risky Are U.S. Corporate Assets?," Journal of Finance, American Finance Association, vol. 78(1), pages 141-208, February.
    4. An, Li & Lou, Dong & Shi, Donghui, 2022. "Wealth redistribution in bubbles and crashes," Journal of Monetary Economics, Elsevier, vol. 126(C), pages 134-153.
    5. Dirk Ulbricht, 2013. "Stock Investments for Old-Age: Less Return, More Risk, and Unexpected Timing," Discussion Papers of DIW Berlin 1324, DIW Berlin, German Institute for Economic Research.
    6. Raquel M. Gaspar & Paulo M. Silva, 2023. "Investors’ perspective on portfolio insurance," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 22(1), pages 49-79, January.
    7. Sami Attaoui & Vincent Lacoste, 2013. "A scenario-based description of optimal American capital guaranteed strategies," Finance, Presses universitaires de Grenoble, vol. 34(2), pages 65-119.
    8. Muñoz, Fernando, 2016. "Cash flow timing skills of socially responsible mutual fund investors," International Review of Financial Analysis, Elsevier, vol. 48(C), pages 110-124.
    9. Sermpinis, Georgios & Hassanniakalager, Arman & Stasinakis, Charalampos & Psaradellis, Ioannis, 2021. "Technical analysis profitability and Persistence: A discrete false discovery approach on MSCI indices," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 73(C).
    10. Lu, Richard & Horng, Tzyy-Leng & Horng, Min-Sun & Wang, Amy Z.-H., 2023. "A performance evaluation of portfolio insurance under the Black and Scholes framework: An application of the economic index of riskiness," The Quarterly Review of Economics and Finance, Elsevier, vol. 89(C), pages 269-276.
    11. Ben Ameur, H. & Prigent, J.L., 2014. "Portfolio insurance: Gap risk under conditional multiples," European Journal of Operational Research, Elsevier, vol. 236(1), pages 238-253.
    12. Rakesh Gupta & Junhao Yang & Thadavillil Jithendranathan, 2017. "Diversification into Emerging Markets – An Australian and the US Perspective Using a Time-varying Approach," Australian Economic Papers, Wiley Blackwell, vol. 56(2), pages 134-162, June.
    13. Venanzi, Daniela, 2016. "The performance of the Italian mutual funds: Does the metric matter?," Research in International Business and Finance, Elsevier, vol. 37(C), pages 406-421.
    14. Erdinc Akyildirim & Matteo Gambara & Josef Teichmann & Syang Zhou, 2023. "Randomized Signature Methods in Optimal Portfolio Selection," Papers 2312.16448, arXiv.org.
    15. Gerritsen, Dirk F., 2016. "Are chartists artists? The determinants and profitability of recommendations based on technical analysis," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 179-196.
    16. Zhang, Tao & Zhou, Hongfeng & Li, Larry & Gu, Feng, 2015. "Optimal rebalance rules for the constant proportion portfolio insurance strategy – Evidence from China," Economic Systems, Elsevier, vol. 39(3), pages 413-422.
    17. Sloan, Richard G. & You, Haifeng, 2015. "Wealth transfers via equity transactions," Journal of Financial Economics, Elsevier, vol. 118(1), pages 93-112.
    18. Vahidreza Yousefi & Siamak Haji Yakhchali & Jolanta Tamošaitienė, 2019. "Application of Duration Measure in Quantifying the Sensitivity of Project Returns to Changes in Discount Rates," Administrative Sciences, MDPI, vol. 9(1), pages 1-14, February.
    19. Lord Mensah, 2016. "Asset Allocation Brewed Accross African Stock Markets," Proceedings of Economics and Finance Conferences 3205757, International Institute of Social and Economic Sciences.
    20. Raquel M. Gaspar, 2016. "On Path–dependency of Constant Proportion Portfolio Insurance strategies," EcoMod2016 9381, EcoMod.

    More about this item

    Keywords

    buy-and-hold strategy; constant-mix; constant-proportion portfolio insurance; contrarian strategy; momentum strategy;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

    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:ijb:journl:v:15:y:2016:i:1:p:79-83. 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: Szu-Hsien Ho (email available below). General contact details of provider: https://edirc.repec.org/data/cbfcutw.html .

    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.