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Islamic vs Conventional Canadian stock markets : what difference ?

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  • NEIFAR, MALIKA

Abstract

This study empirically assesses the relationship between inflation and stock return in conventional and Islamic Canadian stock markets. The study has covered monthly data for the period 2004:M08−2018 :M4 of canadian economy. We propose a multivariate X-MGARCH or X- MGARCH-X volatility model to assess the dependence of Conventional and Islamic canadian stock market returns on inflation (expected and/or unexpected inflation) and volatility dynamic interdependence of returns (first and second moments). We also examine the constant and dynamic of conditional correlation in both stock market. The main result supports the hypotheses of constant conditional correlation (CCC) and Fisher hypothesis for Islamic canadian stock market. While the Conventional stock market is an efficient one. The volatility spillover is examined estimating an X-DVECH model. The dynamic conditional correlation (DCC) provides evidence of cross border relationship within stocks. We do find also evidence of negative (positive) significant effect of inflation on Islamic (conventional) stock market return volatility.

Suggested Citation

  • Neifar, Malika, 2020. "Islamic vs Conventional Canadian stock markets : what difference ?," MPRA Paper 99608, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:99608
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    References listed on IDEAS

    as
    1. Arjun Chatrath & Sanjay Ramchander & Frank Song, 1997. "Stock prices, inflation and output: evidence from India," Applied Financial Economics, Taylor & Francis Journals, vol. 7(4), pages 439-445.
    2. Fama, Eugene F, 1981. "Stock Returns, Real Activity, Inflation, and Money," American Economic Review, American Economic Association, vol. 71(4), pages 545-565, September.
    3. Bollerslev, Tim & Engle, Robert F & Wooldridge, Jeffrey M, 1988. "A Capital Asset Pricing Model with Time-Varying Covariances," Journal of Political Economy, University of Chicago Press, vol. 96(1), pages 116-131, February.
    4. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    5. NEIFAR, MALIKA & HarzAllah, AMIRA, 2020. "Can Canadian Stock market provide complete hedge against Inflation ?," MPRA Paper 99093, University Library of Munich, Germany.
    6. Bollerslev, Tim & Chou, Ray Y. & Kroner, Kenneth F., 1992. "ARCH modeling in finance : A review of the theory and empirical evidence," Journal of Econometrics, Elsevier, vol. 52(1-2), pages 5-59.
    7. Bollerslev, Tim, 1990. "Modelling the Coherence in Short-run Nominal Exchange Rates: A Multivariate Generalized ARCH Model," The Review of Economics and Statistics, MIT Press, vol. 72(3), pages 498-505, August.
    8. Jarque, Carlos M. & Bera, Anil K., 1980. "Efficient tests for normality, homoscedasticity and serial independence of regression residuals," Economics Letters, Elsevier, vol. 6(3), pages 255-259.
    9. Fama, Eugene F. & Schwert, G. William, 1977. "Asset returns and inflation," Journal of Financial Economics, Elsevier, vol. 5(2), pages 115-146, November.
    10. Engle, Robert, 2002. "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 339-350, July.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Conventional /Islamic Canadian stock return; Conditional Correlations (CC); Dynamic CC (DCC) and Constant CC models (CCC); Fisher hypothesis; MGARCH -DVECH model; X-MGARCH and X-MGARCH-X models.;
    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
    • G00 - Financial Economics - - General - - - General
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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