IDEAS home Printed from https://ideas.repec.org/a/vrs/stintr/v16y2015i2p279-292n4.html
   My bibliography  Save this article

Application of Multifactorial Market-timing Models to Assess Risk and Effectiveness of Equity-Linked Insurance Funds in Poland

Author

Listed:
  • Homa Magdalena

    (Uniwersytet Wrocławski Instytut Nauk Ekonomicznych, ; Wroclaw, Poland)

  • Mościbrodzka Monika

    (Uniwersytet Wrocławski Instytut Nauk Ekonomicznych, ; Wroclaw, Poland)

Abstract

Traditionally, models developed by Treynor and Mazuy (T-M) and also by Henriksson-Merton (H-M), which are called market-timing models, are applied to assess effectiveness of investment funds. The objective of the presented study is an application of the T-M and H-M models and their T-M-FF and H-M-FF modifications with additional Fama-French factors to assess effectiveness and risk of equity insurance connected with unit-linked insurance. Estimation and verification of the models for the subject group of equity funds were performed and the significance of the impact of particular factors on returns on reference portfolios was discussed.

Suggested Citation

  • Homa Magdalena & Mościbrodzka Monika, 2015. "Application of Multifactorial Market-timing Models to Assess Risk and Effectiveness of Equity-Linked Insurance Funds in Poland," Statistics in Transition New Series, Statistics Poland, vol. 16(2), pages 279-292, June.
  • Handle: RePEc:vrs:stintr:v:16:y:2015:i:2:p:279-292:n:4
    DOI: 10.21307/stattrans-2015-015
    as

    Download full text from publisher

    File URL: https://doi.org/10.21307/stattrans-2015-015
    Download Restriction: no

    File URL: https://libkey.io/10.21307/stattrans-2015-015?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
    ---><---

    References listed on IDEAS

    as
    1. Henriksson, Roy D & Merton, Robert C, 1981. "On Market Timing and Investment Performance. II. Statistical Procedures for Evaluating Forecasting Skills," The Journal of Business, University of Chicago Press, vol. 54(4), pages 513-533, October.
    2. Fama, Eugene F & French, Kenneth R, 1996. "Multifactor Explanations of Asset Pricing Anomalies," Journal of Finance, American Finance Association, vol. 51(1), pages 55-84, March.
    Full references (including those not matched with items on IDEAS)

    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. Ding, Jing & Jiang, Lei & Liu, Xiaohui & Peng, Liang, 2023. "Nonparametric tests for market timing ability using daily mutual fund returns," Journal of Economic Dynamics and Control, Elsevier, vol. 150(C).
    2. Kee-Hong Bae & Junesuh Yi, 2008. "The Impact of the Short-Short Rule Repeal on the Timing Ability of Mutual Funds," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 35(7-8), pages 969-997.
    3. Adam Zaremba & Jacob Koby Shemer, 2018. "Price-Based Investment Strategies," Springer Books, Springer, number 978-3-319-91530-2, December.
    4. Godfrey Charles-Cadogan, 2012. "Alpha Representation For Active Portfolio Management and High Frequency Trading In Seemingly Efficient Markets," Papers 1206.2662, arXiv.org.
    5. Lars Hornuf & Gül Yüksel, 2022. "The Performance of Socially Responsible Investments: A Meta-Analysis," CESifo Working Paper Series 9724, CESifo.
    6. Magdalena Homa & Monika Mościbrodzka, 2015. "Application of multifactorial markettiming models to assess risk and effectiveness of equity-linked insurance funds in Poland," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 16(2), pages 279-292, June.
    7. Elton, Edwin J. & Gruber, Martin J., 2013. "Mutual Funds," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1011-1061, Elsevier.
    8. Ko, Kuan-Cheng & Lin, Shinn-Juh & Su, Hsiang-Ju & Chang, Hsing-Hua, 2014. "Value investing and technical analysis in Taiwan stock market," Pacific-Basin Finance Journal, Elsevier, vol. 26(C), pages 14-36.
    9. Christiansen, Claus Bang & Madsen, Peter Brink & Christensen, Michael, 2003. "Further Evidence on Hedge Funds Performance," Finance Working Papers 03-5, University of Aarhus, Aarhus School of Business, Department of Business Studies.
    10. Bohl, Martin T. & Czaja, Marc-Gregor & Kaufmann, Philipp, 2016. "Momentum profits, market cycles, and rebounds: Evidence from Germany," The Quarterly Review of Economics and Finance, Elsevier, vol. 61(C), pages 139-159.
    11. Daniel, Kent & Moskowitz, Tobias J., 2016. "Momentum crashes," Journal of Financial Economics, Elsevier, vol. 122(2), pages 221-247.
    12. Renneboog, L.D.R. & Ter Horst, J.R. & Zhang, C., 2007. "Socially Responsible Investments : Methodology, Risk Exposure and Performance," Other publications TiSEM 1ff75080-22db-4909-9f13-a, Tilburg University, School of Economics and Management.
    13. 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.
    14. Heber Farnsworth & Wayne E. Ferson & David Jackson & Steven Todd, 2002. "Performance Evaluation with Stochastic Discount Factors," NBER Working Papers 8791, National Bureau of Economic Research, Inc.
    15. Döpke, Jörg & Müller, Karsten & Tegtmeier, Lars, 2018. "The economic value of business cycle forecasts for potential investors – Evidence from Germany," Research in International Business and Finance, Elsevier, vol. 46(C), pages 445-461.
    16. Kee‐Hong Bae & Junesuh Yi, 2008. "The Impact of the Short‐Short Rule Repeal on the Timing Ability of Mutual Funds," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 35(7‐8), pages 969-997, September.
    17. Keith S. K. Lam & Liang Dong & Bo Yu, 2019. "Value Premium and Technical Analysis: Evidence from the China Stock Market," Economies, MDPI, vol. 7(3), pages 1-21, September.
    18. Szu-Yin Hung & John Glascock, 2008. "Momentum Profitability and Market Trend: Evidence from REITs," The Journal of Real Estate Finance and Economics, Springer, vol. 37(1), pages 51-69, July.
    19. William Goetzmann & Jonathan Ingersoll & Zoran Ivkovich, 1998. "Monthly Measurement of Daily Timers," Yale School of Management Working Papers ysm88, Yale School of Management, revised 01 Oct 2000.
    20. Magdalena Homa & Monika Mościbrodzka, 2015. "Application Of Multifactorial Market-Timing Models To Assess Risk And Effectiveness Of Equity-Linked Insurance Funds In Poland," Statistics in Transition New Series, Polish Statistical Association, vol. 16(2), pages 279-292, June.

    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:vrs:stintr:v:16:y:2015:i:2:p:279-292:n:4. 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: Peter Golla (email available below). General contact details of provider: https://stat.gov.pl/en/ .

    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.