IDEAS home Printed from https://ideas.repec.org/a/znw/papers/zfn-2010-1-124.html

Correlation versus Cointegration: Do Cointegration based - Index-Tracking Portfolios perform better? Evidence from the Swedish Stock-Market

Author

Listed:
  • Klaus Grobys

    (KLARNA AB, Stockholm)

Abstract

Passive portfolio management which aims to replicate a stock index faces basically two different optimization methods. Traditional portfolio management employs historical stock return data of preselected stocks in order to replicate the underlying stock index. The cointegration method employs time series data of stock prices instead, even though stock price data may statistically often exhibit random walk behavior. In this review the advantage of the latter method could be asserted. Thereby, different stock portfolios with respect to the Swedish stock market are constructed which rest upon both, the concept of correlation and the concept of cointegration. The cointegration based models dominate, which can be ascertained by comparing their Sharpe ratios as well as their Treynor ratios. The dominating stock portfolio beat the index by 79.08% within the overall 10-years out-of-sample period, whereas the annual volatility on average was 1.10 base points lower.

Suggested Citation

  • Klaus Grobys, 2010. "Correlation versus Cointegration: Do Cointegration based - Index-Tracking Portfolios perform better? Evidence from the Swedish Stock-Market," Zeitschrift für Nachwuchswissenschaftler - German Journal for Young Researchers, Zeitschrift für Nachwuchswissenschaftler - German Journal for Young Researchers, vol. 2(1), pages 72-78, May.
    • Handle: RePEc:znw:papers:zfn-2010-1-124
    as

    Download full text from publisher

    File URL: http://www.nachwuchswissenschaftler.org/2010/1/124/ZfN-2010-1-124.pdf
    Download Restriction: no
    File URL: http://www.nachwuchswissenschaftler.org/2010/1/124/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Granger, C. W. J., 1981. "Some properties of time series data and their use in econometric model specification," Journal of Econometrics, Elsevier, vol. 16(1), pages 121-130, May.
    2. Carol Alexander & Anca Dimitriu, 2005. "Indexing, cointegration and equity market regimes," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 10(3), pages 213-231.
    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. Sant’Anna, Leonardo R. & Filomena, Tiago P. & Caldeira, João F., 2017. "Index tracking and enhanced indexing using cointegration and correlation with endogenous portfolio selection," The Quarterly Review of Economics and Finance, Elsevier, vol. 65(C), pages 146-157.
    2. Martin Boďa & Mária Kanderová, 2020. "Performance of Six Sigma Rebalancing for Portfolios Mixing Polar Investment Styles," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 68(1), pages 139-155.

    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. Sant’Anna, Leonardo R. & Filomena, Tiago P. & Caldeira, João F., 2017. "Index tracking and enhanced indexing using cointegration and correlation with endogenous portfolio selection," The Quarterly Review of Economics and Finance, Elsevier, vol. 65(C), pages 146-157.
    2. Ravi Kashyap, 2019. "Concepts, Components and Collections of Trading Strategies and Market Color," Papers 1910.02144, arXiv.org, revised Jan 2020.
    3. Wesam Salah Alaloul & Muhammad Ali Musarat & Muhammad Babar Ali Rabbani & Qaiser Iqbal & Ahsen Maqsoom & Waqas Farooq, 2021. "Construction Sector Contribution to Economic Stability: Malaysian GDP Distribution," Sustainability, MDPI, vol. 13(9), pages 1-26, April.
    4. Luis Gil-Alana, 2004. "Forecasting the real output using fractionally integrated techniques," Applied Economics, Taylor & Francis Journals, vol. 36(14), pages 1583-1589.
    5. repec:kap:iaecre:v:17:y:2011:i:2:p:157-168 is not listed on IDEAS
    6. Nielsen, Morten Orregaard & Shimotsu, Katsumi, 2007. "Determining the cointegrating rank in nonstationary fractional systems by the exact local Whittle approach," Journal of Econometrics, Elsevier, vol. 141(2), pages 574-596, December.
    7. Andreas Stephan, 1997. "The Impact of Road Infrastructure on Productivity and Growth: Some Preliminary Results for the German Manufacturing Sector," CIG Working Papers FS IV 97-47, Wissenschaftszentrum Berlin (WZB), Research Unit: Competition and Innovation (CIG).
    8. Guglielmo Maria Caporale & Luis A. Gil-Alana, 2015. "Infant mortality rates: time trends and fractional integration," Journal of Applied Statistics, Taylor & Francis Journals, vol. 42(3), pages 589-602, March.
    9. Mohamed, Hazik & Masih, Mansur, 2017. "Stock market comovement among the ASEAN-5 : a causality analysis," MPRA Paper 98781, University Library of Munich, Germany.
    10. Erie Febrian & Aldrin Herwany, 2009. "Volatility Forecasting Models and Market Co-Integration: A Study on South-East Asian Markets," Working Papers in Economics and Development Studies (WoPEDS) 200911, Department of Economics, Padjadjaran University, revised Sep 2009.
    11. Yong Glasure & Aie-Rie Lee & James Norris, 1999. "Level of economic development and political democracy revisited," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 5(4), pages 466-477, November.
    12. Carmen van der Merwe & Martin de Wit, 2021. "An In-Depth Investigation into the Relationship Between Municipal Solid Waste Generation and Economic Growth in the City of Cape Town," Working Papers 07/2021, Stellenbosch University, Department of Economics, revised 2021.
    13. Hassler, U. & Marmol, F. & Velasco, C., 2006. "Residual log-periodogram inference for long-run relationships," Journal of Econometrics, Elsevier, vol. 130(1), pages 165-207, January.
    14. Kenneth F. Wallis & Jan P. A. M. Jacobs, 2005. "Comparing SVARs and SEMs: two models of the UK economy," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(2), pages 209-228.
    15. Neil R. Ericsson, 2021. "Dynamic Econometrics in Action: A Biography of David F. Hendry," International Finance Discussion Papers 1311, Board of Governors of the Federal Reserve System (U.S.).
    16. Haldrup, Niels & Nielsen, Morten Orregaard, 2006. "A regime switching long memory model for electricity prices," Journal of Econometrics, Elsevier, vol. 135(1-2), pages 349-376.
    17. Win Chou & Dominica Lee, 2005. "Panel Cointegration Analysis of Audit Pricing Model," Review of Quantitative Finance and Accounting, Springer, vol. 24(4), pages 423-439, June.
    18. Pierre Perron & Zhongjun Qu, 2007. "An Analytical Evaluation of the Log-periodogram Estimate in the Presence of Level Shifts," Boston University - Department of Economics - Working Papers Series wp2007-044, Boston University - Department of Economics.
    19. Fredj Jawadi & Catherine Bruneau & Nadia Sghaier, 2009. "Nonlinear Cointegration Relationships Between Non‐Life Insurance Premiums and Financial Markets," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 76(3), pages 753-783, September.
    20. Jackson, William III & Eisenbeis, Robert A., 1997. "Geographic integration of bank deposit markets and restrictions on interstate banking: A cointegration approach," Journal of Economics and Business, Elsevier, vol. 49(4), pages 335-346.
    21. Carol Alexander & Anca Dimitriu, 2005. "Detecting Switching Strategies in Equity Hedge Funds," ICMA Centre Discussion Papers in Finance icma-dp2005-07, Henley Business School, University of Reading.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs

    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:znw:papers:zfn-2010-1-124. 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: Wilfried Honekamp The email address of this maintainer does not seem to be valid anymore. Please ask Wilfried Honekamp to update the entry or send us the correct address (email available below). General contact details of provider: http://www.nachwuchswissenschaftler.org/ .

    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.