IDEAS home Printed from https://ideas.repec.org/a/eko/ekoeko/47_79.html
   My bibliography  Save this article

Applying exogenous variables and regime switching to multi-factor models on equity indices

Author

Listed:
  • Paweł Sakowski
  • Robert Ślepaczuk
  • Mateusz Wywiał

Abstract

This article aims to extend the evaluation of classic multi-factor models of Carhart (1997) and to expand analysis performed in Sakowski, Ślepaczuk and Wywiał (2015). We test several modifications of these models to take into account different dynamics of equity excess returns between emerging and developed equity indices. Proposed extensions include volatility regime switching mechanism and three new risk factors. Additionally, we introduce common- and country-specific variables in order to control for global risk. Instead of individual stocks, we use weekly data of 81 world investable equity indices in the period of 2000−2015. We find substantial differences between results for classical models on single stocks and models evaluated for equity indices. Moreover, we observe solid discrepancies between results for developed and emerging markets. Introducing new risk factors and additional variables increase explanatory power of models.

Suggested Citation

  • Paweł Sakowski & Robert Ślepaczuk & Mateusz Wywiał, 2016. "Applying exogenous variables and regime switching to multi-factor models on equity indices," Ekonomia journal, Faculty of Economic Sciences, University of Warsaw, vol. 47.
    • Handle: RePEc:eko:ekoeko:47_79
    DOI: 10.17451/eko/47/2016/210
    as

    Download full text from publisher

    File URL: http://ekonomia.wne.uw.edu.pl/ekonomia/getFile/801
    Download Restriction: no
    File URL: https://libkey.io/10.17451/eko/47/2016/210?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
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Lakonishok, Josef & Shleifer, Andrei & Vishny, Robert W, 1994. "Contrarian Investment, Extrapolation, and Risk," Journal of Finance, American Finance Association, vol. 49(5), pages 1541-1578, December.
    2. Timotheos Angelidis & Nikolaos Tessaromatis, 2014. "Global portfolio management under state dependent multiple risk premia," Proceedings of Economics and Finance Conferences 0400966, International Institute of Social and Economic Sciences.
    3. Fernando M. Duarte & Carlo Rosa, 2015. "The equity risk premium: a review of models," Economic Policy Review, Federal Reserve Bank of New York, issue 2, pages 39-57.
    4. James L. Davis & Eugene F. Fama & Kenneth R. French, 2000. "Characteristics, Covariances, and Average Returns: 1929 to 1997," Journal of Finance, American Finance Association, vol. 55(1), pages 389-406, February.
    5. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    6. Ruzita Abdul Rahim & Abu Hassan Shaari Mohd. Nor, 2006. "A Comparison Between Fama and French Model and Liquidity-Based Three Factor Models in Predicting Portfolio Returns," Asian Academy of Management Journal of Accounting and Finance (AAMJAF), Penerbit Universiti Sains Malaysia, vol. 2(2), pages 43-60.
    7. Wu, Xueping, 2002. "A conditional multifactor analysis of return momentum," Journal of Banking & Finance, Elsevier, vol. 26(8), pages 1675-1696, August.
    8. Frazzini, Andrea & Pedersen, Lasse Heje, 2014. "Betting against beta," Journal of Financial Economics, Elsevier, vol. 111(1), pages 1-25.
    9. Kewei Hou & G. Andrew Karolyi & Bong-Chan Kho, 2011. "What Factors Drive Global Stock Returns?," The Review of Financial Studies, Society for Financial Studies, vol. 24(8), pages 2527-2574.
    10. John M. Griffin, 2002. "Are the Fama and French Factors Global or Country Specific?," The Review of Financial Studies, Society for Financial Studies, vol. 15(3), pages 783-803.
    11. Michael Donadelli & Lorenzo Prosperi, 2012. "The Equity Risk Premium: Empirical Evidence from Emerging Markets," Working Papers CASMEF 1201, Dipartimento di Economia e Finanza, LUISS Guido Carli.
    12. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    13. William F. Sharpe, 1964. "Capital Asset Prices: A Theory Of Market Equilibrium Under Conditions Of Risk," Journal of Finance, American Finance Association, vol. 19(3), pages 425-442, September.
    14. Cakici, Nusret & Fabozzi, Frank J. & Tan, Sinan, 2013. "Size, value, and momentum in emerging market stock returns," Emerging Markets Review, Elsevier, vol. 16(C), pages 46-65.
    15. Connor, Gregory & Sehgal, Sanjay, 2001. "Tests of the Fama and French model in India," LSE Research Online Documents on Economics 25057, London School of Economics and Political Science, LSE Library.
    16. Manuel Ammann & Michael Verhofen, 2006. "The Effect of Market Regimes on Style Allocation," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 20(3), pages 309-337, September.
    17. 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.
    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. Paweł Sakowski & Robert Ślepaczuk & Mateusz Wywiał, 2016. "Can We Invest Based on Equity Risk Premia and Risk Factors from Multi-Factor Models?," Working Papers 2016-09, Faculty of Economic Sciences, University of Warsaw.

    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. Sakowski Paweł & Ślepaczuk Robert & Wywiał Mateusz, 2016. "Cross-Sectional Returns with Volatility Regimes from a Diverse Portfolio of Emerging and Developed Equity Indices," Financial Internet Quarterly (formerly e-Finanse), Sciendo, vol. 12(2), pages 23-35.
    2. Paweł Sakowski & Robert Ślepaczuk & Mateusz Wywiał, 2016. "Can We Invest Based on Equity Risk Premia and Risk Factors from Multi-Factor Models?," Working Papers 2016-09, Faculty of Economic Sciences, University of Warsaw.
    3. Adam Zaremba & Jacob Koby Shemer, 2018. "Price-Based Investment Strategies," Springer Books, Springer, number 978-3-319-91530-2, April.
    4. Hanauer, Matthias X. & Lauterbach, Jochim G., 2019. "The cross-section of emerging market stock returns," Emerging Markets Review, Elsevier, vol. 38(C), pages 265-286.
    5. Cakici, Nusret & Zaremba, Adam, 2022. "Salience theory and the cross-section of stock returns: International and further evidence," Journal of Financial Economics, Elsevier, vol. 146(2), pages 689-725.
    6. Cakici, Nusret & Tang, Yi & Yan, An, 2016. "Do the size, value, and momentum factors drive stock returns in emerging markets?," Journal of International Money and Finance, Elsevier, vol. 69(C), pages 179-204.
    7. Cakici, Nusret & Zaremba, Adam, 2021. "Who should be afraid of infections? Pandemic exposure and the cross-section of stock returns," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 72(C).
    8. Hanauer, Matthias X. & Kalsbach, Tobias, 2023. "Machine learning and the cross-section of emerging market stock returns," Emerging Markets Review, Elsevier, vol. 55(C).
    9. Joachim Freyberger & Andreas Neuhierl & Michael Weber, 2020. "Dissecting Characteristics Nonparametrically," The Review of Financial Studies, Society for Financial Studies, vol. 33(5), pages 2326-2377.
    10. Zaremba Adam & Konieczka Przemysław, 2017. "Size, Value, and Momentum in Polish Equity Returns: Local or International Factors?," International Journal of Management and Economics, Warsaw School of Economics, Collegium of World Economy, vol. 53(3), pages 26-47, September.
    11. Eero Pätäri & Timo Leivo, 2017. "A Closer Look At Value Premium: Literature Review And Synthesis," Journal of Economic Surveys, Wiley Blackwell, vol. 31(1), pages 79-168, February.
    12. Pätäri, Eero & Karell, Ville & Luukka, Pasi & Yeomans, Julian S, 2018. "Comparison of the multicriteria decision-making methods for equity portfolio selection: The U.S. evidence," European Journal of Operational Research, Elsevier, vol. 265(2), pages 655-672.
    13. Lu Zhang, 2017. "The Investment CAPM," European Financial Management, European Financial Management Association, vol. 23(4), pages 545-603, September.
    14. Anton Astakhov & Tomas Havranek & Jiri Novak, 2019. "Firm Size And Stock Returns: A Quantitative Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 33(5), pages 1463-1492, December.
    15. Kewei Hou & Haitao Mo & Chen Xue & Lu Zhang, 2019. "Which Factors?," Review of Finance, European Finance Association, vol. 23(1), pages 1-35.
    16. Thomas Nitschka, 2016. "Is There a Too-Big-to-Fail Discount in Excess Returns on German Banks’ Stocks?," International Finance, Wiley Blackwell, vol. 19(3), pages 292-310, December.
    17. Artmann, Sabine & Finter, Philipp & Kempf, Alexander, 2010. "Determinants of expected stock returns: Large sample evidence from the German market," CFR Working Papers 10-01, University of Cologne, Centre for Financial Research (CFR).
    18. Zaremba, Adam & Maydybura, Alina, 2019. "The cross-section of returns in frontier equity markets: Integrated or segmented pricing?," Emerging Markets Review, Elsevier, vol. 38(C), pages 219-238.
    19. Hoang, Khoa & Huang, Ronghong & Truong, Helen, 2023. "Resurrecting the market factor: A case of data mining across international markets," Pacific-Basin Finance Journal, Elsevier, vol. 82(C).
    20. Tobek, Ondrej & Hronec, Martin, 2021. "Does it pay to follow anomalies research? Machine learning approach with international evidence," Journal of Financial Markets, Elsevier, vol. 56(C).

    More about this item

    Keywords

    asset pricing models; equity risk premia; market price of risk; emerging and developed equity indices;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • F30 - International Economics - - International Finance - - - General
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

    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:eko:ekoeko:47_79. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/fesuwpl.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.