IDEAS home Printed from https://ideas.repec.org/p/ekd/002596/259600034.html

Modeling Stock Returns in the South African Stock Exchange: a Nonlinear Approach

Author

Listed:
  • Lumengo BONGA-BONGA

Abstract

No abstract is available for this item.

Suggested Citation

  • Lumengo BONGA-BONGA, 2010. "Modeling Stock Returns in the South African Stock Exchange: a Nonlinear Approach," EcoMod2010 259600034, EcoMod.
  • Handle: RePEc:ekd:002596:259600034
    as

    Download full text from publisher

    File URL: http://www.ecomod.net/sites/default/files/document-conference/ecomod2010/1189.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. McMillan, David G., 2004. "Nonlinear predictability of short-run deviations in UK stock market returns," Economics Letters, Elsevier, vol. 84(2), pages 149-154, August.
    2. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    3. Burton G. Malkiel, 2003. "The Efficient Market Hypothesis and Its Critics," Working Papers 111, Princeton University, Department of Economics, Center for Economic Policy Studies..
    4. Nektarios Aslanidis, 2002. "Smooth Transition Regression Models in UK Stock Returns," Working Papers 0201, University of Crete, Department of Economics.
    5. Dick van Dijk & Timo Terasvirta & Philip Hans Franses, 2002. "Smooth Transition Autoregressive Models — A Survey Of Recent Developments," Econometric Reviews, Taylor & Francis Journals, vol. 21(1), pages 1-47.
    6. Keith Jefferis & Charles Okeahalam, 2000. "The impact of economic fundamentals on stock markets in southern Africa," Development Southern Africa, Taylor & Francis Journals, vol. 17(1), pages 23-51.
    7. Schwert, G William, 1990. "Stock Returns and Real Activity: A Century of Evidence," Journal of Finance, American Finance Association, vol. 45(4), pages 1237-1257, September.
    8. McCulloch Robert E. & Tsay Ruey S., 2001. "Nonlinearity in High-Frequency Financial Data and Hierarchical Models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 5(1), pages 1-18, April.
    9. Shleifer, Andrei & Summers, Lawrence H, 1990. "The Noise Trader Approach to Finance," Journal of Economic Perspectives, American Economic Association, vol. 4(2), pages 19-33, Spring.
    10. Terasvirta, T & Anderson, H M, 1992. "Characterizing Nonlinearities in Business Cycles Using Smooth Transition Autoregressive Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(S), pages 119-136, Suppl. De.
    11. Aslanidis, Nektarios & Denise R. Osborn & Marianne Sensier, 2002. "Smooth Transition Regression Models in UK Stock Returns," Royal Economic Society Annual Conference 2002 11, Royal Economic Society.
    12. Chang, Kuang-Liang, 2009. "Do macroeconomic variables have regime-dependent effects on stock return dynamics? Evidence from the Markov regime switching model," Economic Modelling, Elsevier, vol. 26(6), pages 1283-1299, November.
    13. Bradley, Michael D. & Jansen, Dennis W., 2004. "Forecasting with a nonlinear dynamic model of stock returns and industrial production," International Journal of Forecasting, Elsevier, vol. 20(2), pages 321-342.
    14. Rapach, David E. & Wohar, Mark E. & Rangvid, Jesper, 2005. "Macro variables and international stock return predictability," International Journal of Forecasting, Elsevier, vol. 21(1), pages 137-166.
    15. Gombola, Michael J & Liu, Feng-Ying L, 1993. "Dividend Yields and Stock Returns: Evidence of Time Variation between Bull and Bear Markets," The Financial Review, Eastern Finance Association, vol. 28(3), pages 303-327, August.
    16. Hsieh, David A, 1991. "Chaos and Nonlinear Dynamics: Application to Financial Markets," Journal of Finance, American Finance Association, vol. 46(5), pages 1839-1877, December.
    17. repec:pri:cepsud:91malkiel is not listed on IDEAS
    18. Pesaran, M Hashem & Timmermann, Allan, 1995. "Predictability of Stock Returns: Robustness and Economic Significance," Journal of Finance, American Finance Association, vol. 50(4), pages 1201-1228, September.
    19. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    20. Burton G. Malkiel, 2003. "The Efficient Market Hypothesis and Its Critics," Journal of Economic Perspectives, American Economic Association, vol. 17(1), pages 59-82, Winter.
    21. Eitrheim, Oyvind & Terasvirta, Timo, 1996. "Testing the adequacy of smooth transition autoregressive models," Journal of Econometrics, Elsevier, vol. 74(1), pages 59-75, September.
    22. Sarantis, Nicholas, 2001. "Nonlinearities, cyclical behaviour and predictability in stock markets: international evidence," International Journal of Forecasting, Elsevier, vol. 17(3), pages 459-482.
    23. Burton G. Malkiel, 2003. "The Efficient Market Hypothesis and Its Critics," Working Papers 111, Princeton University, Department of Economics, Center for Economic Policy Studies..
    24. McQueen, Grant & Roley, V Vance, 1993. "Stock Prices, News, and Business Conditions," The Review of Financial Studies, Society for Financial Studies, vol. 6(3), pages 683-707.
    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. Bonga-Bonga, Lumengo & Mwamba, Muteba, 2015. "A multivariate model for the prediction of stock returns in an emerging market: A comparison of parametric and non-parametric models," MPRA Paper 62028, University Library of Munich, Germany.
    2. Ayedi Ahmed & Marjène Gana & Stéphane Goutte & Khaled Guesmi, 2023. "Managing Portfolio Risk During the BREXIT Crisis: A Cross-Quantilogram Analysis of Stock Markets and Commodities Across European Countries, the US, and BRICS," Working Papers halshs-04068651, HAL.
    3. Syed Jawad Hussain Shahzad & Dene Hurley & Román Ferrer, 2021. "U.S. stock prices and macroeconomic fundamentals: Fresh evidence using the quantile ARDL approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 3569-3587, July.
    4. Goodness C. Aye & Mehmet Balcilar & Rangan Gupta & Nicholas Kilimani & Amandine Nakumuryango & Siobhan Redford, 2014. "Predicting BRICS stock returns using ARFIMA models," Applied Financial Economics, Taylor & Francis Journals, vol. 24(17), pages 1159-1166, September.
    5. Seyyed Ali Paytakhti Oskooe, 2012. "Nonlinear Adjustment of Emerging Stock Market Returns: Symmetrical or Asymmetrical," International Journal of Economics and Financial Issues, International Journal of Economics and Financial Issues, vol. 2(2), pages 179-183.
    6. Safari, Meysam & TahmooresPour, Reza, 2011. "Moderation Effect of Market Condition on the Relationship between Dividend Yield and Stock Return," MPRA Paper 28913, University Library of Munich, Germany.

    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. Guidolin, Massimo & Hyde, Stuart & McMillan, David & Ono, Sadayuki, 2009. "Non-linear predictability in stock and bond returns: When and where is it exploitable?," International Journal of Forecasting, Elsevier, vol. 25(2), pages 373-399.
    2. Bonga-Bonga, Lumengo & Mwamba, Muteba, 2015. "A multivariate model for the prediction of stock returns in an emerging market: A comparison of parametric and non-parametric models," MPRA Paper 62028, University Library of Munich, Germany.
    3. Stéphane Goutte & David Guerreiro & Bilel Sanhaji & Sophie Saglio & Julien Chevallier, 2019. "International Financial Markets," Post-Print halshs-02183053, HAL.
    4. N Aslanidis & D R Osborn & M Sensier, 2003. "Explaining Movements in UK Stock Prices: How Important is the US Market?," Economics Discussion Paper Series 0305, Economics, The University of Manchester.
    5. Don Bredin & Stuart Hyde, 2008. "Regime Change and the Role of International Markets on the Stock Returns of Small Open Economies," European Financial Management, European Financial Management Association, vol. 14(2), pages 315-346, March.
    6. Nektarios Aslanidis, 2002. "Smooth Transition Regression Models in UK Stock Returns," Working Papers 0201, University of Crete, Department of Economics.
    7. Roscoe, Philip & Howorth, Carole, 2009. "Identification through technical analysis: A study of charting and UK non-professional investors," Accounting, Organizations and Society, Elsevier, vol. 34(2), pages 206-221, February.
    8. Mei-Se Chien, 2013. "The Non-linear Ripple Effect of Housing Prices in Taiwan: A Smooth Transition Regressive Model," ERES eres2013_51, European Real Estate Society (ERES).
    9. Faisal Anees & Shujahat Haider Hashmi & Muhammad Asad, 2018. "Testing Technical Trading Rules: Evidence from SAARC Countries," New Challenges in Accounting and Finance, EUROKD, vol. 1, pages 1-36.
    10. Kim, Sei-wan & Lee, Kihoon & Nam, Kiseok, 2010. "The relationship between CO2 emissions and economic growth: The case of Korea with nonlinear evidence," Energy Policy, Elsevier, vol. 38(10), pages 5938-5946, October.
    11. Grosche, Stephanie, "undated". "Limitations of Granger Causality Analysis to assess the price effects from the financialization of agricultural commodity markets under bounded rationality," Discussion Papers 121868, University of Bonn, Institute for Food and Resource Economics.
    12. Marcus F. da Silva & Eder Johnson de Area Leão Pereira & Idaraí Santos de Santana & José Garcia Vivas Miranda, 2013. "Pattern of fluctuations in the exchange rate change from fixed to floating, in Brazil, Argentina and Mexico," Economics Bulletin, AccessEcon, vol. 33(2), pages 1547-1555.
    13. Roland Rothenstein, 2018. "Quantification of market efficiency based on informational-entropy," Papers 1812.02371, arXiv.org.
    14. Rodrigo F. Aranda L. & Patricio Jaramillo G., 2010. "Non-linear Dynamics in the Chilean Stock Market: Evidence on Traded Volumes and Returns," Journal Econom a Chilena (The Chilean Economy), Central Bank of Chile, vol. 13(3), pages 67-94, December.
    15. Wang, Yuyuan, 2026. "Investor attention, investor sentiment and media in stock market: A literature review and research agenda," International Review of Economics & Finance, Elsevier, vol. 106(C).
    16. Troug, Haytem Ahmed & Murray, Matt, 2015. "Quantitative Easing in Japan and the UK An Econometric Evaluation of the Impacts of Unconventional Monetary Policy on the Returns of Aggregate Output and Price Levels," MPRA Paper 68707, University Library of Munich, Germany.
    17. Alagidede, Paul, 2011. "Return behaviour in Africa's emerging equity markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 51(2), pages 133-140, May.
    18. Christopher R. Stephens & Harald A. Benink & José Luís Gordillo & Juan Pablo Pardo-Guerra, 2021. "A New Measure of Market Inefficiency," JRFM, MDPI, vol. 14(6), pages 1-22, June.
    19. Firat Melih Yilmaz & Engin Yildiztepe, 2024. "Statistical Evaluation of Deep Learning Models for Stock Return Forecasting," Computational Economics, Springer;Society for Computational Economics, vol. 63(1), pages 221-244, January.
    20. Kudbeddin Şeker, 2025. "The asymmetric response of Borsa Istanbul (BIST 100) to ınflation, ınterest rate, and exchange rate shocks: an analysis using the NARDL model," SN Business & Economics, Springer, vol. 5(8), pages 1-29, August.

    More about this item

    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:ekd:002596:259600034. 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: Theresa Leary (email available below). General contact details of provider: https://edirc.repec.org/data/ecomoea.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.