IDEAS home Printed from https://ideas.repec.org/a/ids/ijsuse/v9y2017i1p19-33.html
   My bibliography  Save this article

Long-run equilibrium adjustment between inflation and stock market returns in South Africa: a nonlinear perspective

Author

Listed:
  • Andrew Phiri

Abstract

Following the global financial crisis of 2007-2008, the empirical investigation into financial variables affecting the performance of stock markets gained prominence in empirical research. This study investigates the asymmetric cointegration effects of inflation on the stock market returns for the Johannesburg Stock Exchange (JSE) using monthly data collected from 2003:01 to 2014:12. The empirical model used in the study is the momentum threshold autoregressive (MTAR) model. Indeed, our results reveal a negative, nonlinear cointegration relationship between inflation and stock returns in South Africa with causality running unidirectional from inflation to stock returns. The results further suggest that investors cannot hedge against rising inflation by investing in equity stocks listed on the JSE. Second, monetary policy, through the use of inflation targets, can provide a stable financial environment for the growth of equity markets in South Africa.

Suggested Citation

  • Andrew Phiri, 2017. "Long-run equilibrium adjustment between inflation and stock market returns in South Africa: a nonlinear perspective," International Journal of Sustainable Economy, Inderscience Enterprises Ltd, vol. 9(1), pages 19-33.
  • Handle: RePEc:ids:ijsuse:v:9:y:2017:i:1:p:19-33
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=80866
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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. Alagidede, Paul & Panagiotidis, Theodore, 2010. "Can common stocks provide a hedge against inflation? Evidence from African countries," Review of Financial Economics, Elsevier, vol. 19(3), pages 91-100, August.
    2. Floros, C., 2004. "Stock Returns and Inflation in Greece," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 4(2).
    3. Enders, Walter & Siklos, Pierre L, 2001. "Cointegration and Threshold Adjustment," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(2), pages 166-176, April.
    4. Philip I. Levy, 1999. "Sanctions on South Africa: What Did They Do?," American Economic Review, American Economic Association, vol. 89(2), pages 415-420, May.
    5. Sheilla Nyasha & Nicholas M. Odhiambo, 2015. "The Impact of Banks and Stock Market Development on Economic Growth in South Africa: an ARDL-bounds Testing Approach," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 9(1), March.
    6. Fama, Eugene F, 1981. "Stock Returns, Real Activity, Inflation, and Money," American Economic Review, American Economic Association, vol. 71(4), pages 545-565, September.
    7. Charles Amo Yartey, 2008. "The Determinants of Stock Market Development in Emerging Economies: Is South Africa Different?," IMF Working Papers 2008/032, International Monetary Fund.
    8. Bruce E. Hansen, 2000. "Sample Splitting and Threshold Estimation," Econometrica, Econometric Society, vol. 68(3), pages 575-604, May.
    9. Umar Bida Ndako, 2010. "Stock Markets, Banks and Economic Growth: Time Series Evidence from South Africa," The African Finance Journal, Africagrowth Institute, vol. 12(2), pages 72-92.
    10. Riona Arjoon & Mariëtte Botes & Laban K. Chesang & Rangan Gupta, 2011. "The long-run relationship between inflation and real stock prices: empirical evidence from South Africa," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 13(4), pages 600-613, July.
    11. Choudhry, Taufiq, 2001. "Inflation and rates of return on stocks: evidence from high inflation countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 11(1), pages 75-96, March.
    12. Geyser, J.M. & Lowies, G.A., 2001. "The Impact Of Inflation On Stock Prices In Two Sadc Countries," Working Papers 18080, University of Pretoria, Department of Agricultural Economics, Extension and Rural Development.
    13. Andrew Phiri, 2015. "Asymmetric cointegration and causality effects between financial development and economic growth in South Africa," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 32(4), pages 464-484, October.
    14. Boudoukh, Jacob & Richardson, Matthew, 1993. "Stock Returns and Inflation: A Long-Horizon Perspective," American Economic Review, American Economic Association, vol. 83(5), pages 1346-1355, December.
    15. Enders, Walter & Granger, Clive W J, 1998. "Unit-Root Tests and Asymmetric Adjustment with an Example Using the Term Structure of Interest Rates," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(3), pages 304-311, July.
    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. Phiri, Andrew, 2017. "Threshold convergence between the federal fund rate and South African equity returns around the colocation period," Business and Economic Horizons (BEH), Prague Development Center (PRADEC), vol. 13(1).
    2. Ibrahim Abdulhamid Danlami, 2019. "Inflation Persistence in the West African Commonwealth Countries," Academic Journal of Economic Studies, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 5(3), pages 80-89, September.
    3. Andrew Phiri, 2020. "Structural changes in exchange rate-stock returns dynamics in South Africa: examining the role of crisis and new trading platform," Economic Change and Restructuring, Springer, vol. 53(1), pages 171-193, February.
    4. Kolisi, Nwabisa & Phiri, Andrew, 2017. "Changes in the relationship between interest rates and housing prices in South Africa around the 2007 financial crisis," MPRA Paper 80173, University Library of Munich, Germany.
    5. Muhammad Kamran Khan & Jian-Zhou Teng & Javed Pervaiz & Sunil Kumar Chaudhary, 2017. "Nexuses between Economic Factors and Stock Returns in China," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 9(9), pages 182-191, September.
    6. Md. Qamruzzaman & Ananda Bardhan & Summatun Nasya, 2020. "Nexus between Remittance, Nonperforming Loan, Money Supply, and Financial Volatility: An Application of ARDL," International Journal of Applied Economics, Finance and Accounting, Online Academic Press, vol. 8(1), pages 11-29.
    7. Sinazo Guduza & Andrew Phiri, 2017. "Efficient market hypothesis: Evidence from the JSE equity and bond markets," Working Papers 1718, Department of Economics, Nelson Mandela University, revised Dec 2017.

    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. Andrew Phiri, 2017. "The Unemployment-Stock Market Relationship in South Africa: Evidence from Symmetric and Asymmetric Cointegration Models," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 15(3 (Fall)), pages 231-254.
    2. Dalina Amonhaemanon & Jan Annaert & Marc J.K. De Ceuster & Hau Le Long, 2014. "The Fisher Hypothesis and Investment Assets: The Vietnamese and Thai Case," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 5(4), pages 180-195, October.
    3. Somayeh Madadpour & Mohsen Asgari, 2019. "The puzzling relationship between stocks return and inflation: a review article," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 66(2), pages 115-145, June.
    4. Muhammad Shahbaz & Faridul Islam & Ijaz Ur Rehman, 2016. "Stocks as Hedge against Inflation in Pakistan: Evidence from ARDL Approach," Global Business Review, International Management Institute, vol. 17(6), pages 1280-1295, December.
    5. Arnold, Stephan & Auer, Benjamin R., 2015. "What do scientists know about inflation hedging?," The North American Journal of Economics and Finance, Elsevier, vol. 34(C), pages 187-214.
    6. Bampinas, Georgios & Panagiotidis, Theodore, 2016. "Hedging inflation with individual US stocks: A long-run portfolio analysis," The North American Journal of Economics and Finance, Elsevier, vol. 37(C), pages 374-392.
    7. Dragos Stefan Oprea, 2014. "The Fisher effect: Evidence from the Romanian Stock Market," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 4(5), pages 637-644, May.
    8. Jack Strauss & Mark E. Wohar, 2007. "Domestic‐Foreign Interest Rate Differentials: Near Unit Roots and Symmetric Threshold Models," Southern Economic Journal, John Wiley & Sons, vol. 73(3), pages 814-829, January.
    9. Dimitrios Gounopoulos & Kyriaki Kosmidou & Dimitrios Kousenidis & Victoria Patsika, 2019. "The investigation of the dynamic linkages between real estate market and stock market in Greece," The European Journal of Finance, Taylor & Francis Journals, vol. 25(7), pages 647-669, May.
    10. Phiri, Andrew, 2017. "Has the South African Reserve Bank responded to equity prices since the sub-prime crisis? An asymmetric convergence approach," MPRA Paper 76542, University Library of Munich, Germany.
    11. James R. Lothian & Cornelia H.. McCarthy, 2001. "Equity Returns and Inflation: The Puzzlingly Long Lags," International Finance 0107003, University Library of Munich, Germany.
    12. Paleologou, Suzanna-Maria, 2013. "Asymmetries in the revenue–expenditure nexus: A tale of three countries," Economic Modelling, Elsevier, vol. 30(C), pages 52-60.
    13. Aliyu, Shehu Usman Rano, 2020. "What have we learnt from modelling stock returns in Nigeria: Higgledy-piggledy?," MPRA Paper 110382, University Library of Munich, Germany, revised 06 Jun 2021.
    14. Kim, Sangbae & In, Francis, 2005. "The relationship between stock returns and inflation: new evidence from wavelet analysis," Journal of Empirical Finance, Elsevier, vol. 12(3), pages 435-444, June.
    15. Andrew Phiri, 2017. "Nonlinearities in Wagner's law: further evidence from South Africa," International Journal of Sustainable Economy, Inderscience Enterprises Ltd, vol. 9(3), pages 231-249.
    16. Niyati Bhanja & Arif Billah Dar, 2019. "Stock returns and inflation: a tale of two periods in India," Economic Change and Restructuring, Springer, vol. 52(4), pages 413-438, November.
    17. Yu Hsing, 2011. "The Stock Market and Macroeconomic Variables in a BRICS Country and Policy Implications," International Journal of Economics and Financial Issues, Econjournals, vol. 1(1), pages 12-18.
    18. Anita Rath & Arpit Sachan, 2022. "Emerging Issues in Fiscal Sustainability in India: A Study of Central Government Finances, 1979–1980 to 2018–2019," South Asian Journal of Macroeconomics and Public Finance, , vol. 11(1), pages 39-68, June.
    19. Zhu, Hui-Ming & Li, Su-Fang & Yu, Keming, 2011. "Crude oil shocks and stock markets: A panel threshold cointegration approach," Energy Economics, Elsevier, vol. 33(5), pages 987-994, September.
    20. Eraslan, Sercan, 2017. "Asymmetric arbitrage trading on offshore and onshore renminbi markets," Discussion Papers 13/2017, Deutsche Bundesbank.

    More about this item

    Keywords

    inflation; stock returns; threshold error correction; TEC model; Johannesburg Stock Exchange; JSE; South Africa; Sub-Saharan Africa; SSA; emerging economies; momentum threshold autoregressive model; MTAR; long-run equilibrium adjustment; stock markets; asymmetric cointegration effects; monetary policy; inflation targets.;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

    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:ids:ijsuse:v:9:y:2017:i:1:p:19-33. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=301 .

    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.