IDEAS home Printed from https://ideas.repec.org/a/taf/eurjfi/v16y2010i2p137-152.html
   My bibliography  Save this article

Discrete-time implementation of continuous-time portfolio strategies

Author

Listed:
  • Nicole Branger
  • Beate Breuer
  • Christian Schlag

Abstract

Optimal portfolio strategies are easy to compute in continuous-time models. In reality trading is discrete, so that these optimal strategies cannot be implemented properly. When the investor follows a naive discretization strategy, i.e. when he implements the optimal continuous-time strategy in discrete time, he will suffer a utility loss. For a variety of models, we analyze this discretization error in a simulation study. We find that time discreteness can be neglected when only the stock and the money market account are traded, even in models with stochastic volatility and jumps. On the other hand, when derivatives are traded the utility loss due to discrete trading can be much larger than the utility gain from having access to derivatives. To benefit from derivatives, the investor has to rebalance his portfolio at least daily.

Suggested Citation

  • Nicole Branger & Beate Breuer & Christian Schlag, 2010. "Discrete-time implementation of continuous-time portfolio strategies," The European Journal of Finance, Taylor & Francis Journals, vol. 16(2), pages 137-152.
  • Handle: RePEc:taf:eurjfi:v:16:y:2010:i:2:p:137-152
    DOI: 10.1080/13518470903075854
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/13518470903075854
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/13518470903075854?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 look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Leland, Hayne E., 1999. "Optimal Portfolio Management with Transactions Costs and Capital Gains Taxes," Research Program in Finance, Working Paper Series qt0fw6k0hm, Research Program in Finance, Institute for Business and Economic Research, UC Berkeley.
    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. Sujit R. Das & Mukul Goyal, 2015. "Computing optimal rebalance frequency for log-optimal portfolios in linear time," Quantitative Finance, Taylor & Francis Journals, vol. 15(7), pages 1191-1204, July.
    2. Branger, Nicole & Hansis, Alexandra, 2012. "Asset allocation: How much does model choice matter?," Journal of Banking & Finance, Elsevier, vol. 36(7), pages 1865-1882.
    3. Castañeda, Pablo & Reus, Lorenzo, 2019. "Suboptimal investment behavior and welfare costs: A simulation based approach," Finance Research Letters, Elsevier, vol. 30(C), pages 170-180.
    4. Bart Diris & Franz Palm & Peter Schotman, 2015. "Long-Term Strategic Asset Allocation: An Out-of-Sample Evaluation," Management Science, INFORMS, vol. 61(9), pages 2185-2202, September.

    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. Saif Benjaafar & Daniel Jiang & Xiang Li & Xiaobo Li, 2022. "Dynamic Inventory Repositioning in On-Demand Rental Networks," Management Science, INFORMS, vol. 68(11), pages 7861-7878, November.
    2. Hubert Dichtl & Wolfgang Drobetz & Martin Wambach, 2014. "Where is the value added of rebalancing? A systematic comparison of alternative rebalancing strategies," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 28(3), pages 209-231, August.
    3. Füss, Roland & Miebs, Felix & Trübenbach, Fabian, 2014. "A jackknife-type estimator for portfolio revision," Journal of Banking & Finance, Elsevier, vol. 43(C), pages 14-28.
    4. Carlo Rosa, 2022. "Understanding intraday momentum strategies," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(12), pages 2218-2234, December.
    5. Rumpf, Dominik, 2013. "Zinsbereinigung bei der Dualen Einkommensteuer," Beiträge zur Finanzwissenschaft, Mohr Siebeck, Tübingen, edition 1, volume 32, number urn:isbn:9783161528699, December.
    6. Kourtis, Apostolos, 2014. "On the distribution and estimation of trading costs," Journal of Empirical Finance, Elsevier, vol. 28(C), pages 104-117.
    7. Moorman, Theodore, 2014. "An empirical investigation of methods to reduce transaction costs," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 230-246.
    8. Jiatu Cai & Xinfu Chen & Min Dai, 2018. "Portfolio Selection with Capital Gains Tax, Recursive Utility, and Regime Switching," Management Science, INFORMS, vol. 64(5), pages 2308-2324, May.
    9. Chavalle, Luc & Chavez-Bedoya, Luis, 2019. "The impact of transaction costs in portfolio optimization: A comparative analysis between the cost of trading in Peru and the United States," Journal of Economics, Finance and Administrative Science, Universidad ESAN, vol. 24(48), pages 288-311.
    10. Ardia, David & Boudt, Kris & Wauters, Marjan, 2016. "The economic benefits of market timing the style allocation of characteristic-based portfolios," The North American Journal of Economics and Finance, Elsevier, vol. 37(C), pages 38-62.
    11. Fochmann, Martin & Rumpf, Dominik, 2008. "Modellierung von Aktienanlagen bei laufenden Umschichtungen und einer Besteuerung von Veräußerungsgewinnen," arqus Discussion Papers in Quantitative Tax Research 59, arqus - Arbeitskreis Quantitative Steuerlehre.
    12. Kiyohiko G. Nishimura & Hiroyuki Ozaki, 2003. "Liquidity Motives of Holding Money under Investment Risk: A Dynamic Analysis," CIRJE F-Series CIRJE-F-232, CIRJE, Faculty of Economics, University of Tokyo.

    More about this item

    Keywords

    asset allocation; discrete trading; use of derivatives;
    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:taf:eurjfi:v:16:y:2010:i:2:p:137-152. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/REJF20 .

    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.