IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/65224.html
   My bibliography  Save this paper

Do profit and loss sharing (PLS) deposits also affect PLS financing? Evidence from Malaysia based on DOLS, FMOLS and system GMM techniques

Author

Listed:
  • Othman, Arshad Nuval
  • Masih, Mansur

Abstract

The paper makes the initial attempt to understand the impact of investment or profit and loss sharing (PLS) deposits on mudarabah and musharakah or PLS financing offered by Islamic banks. The appropriate techniques such as DOLS, FMOLS and System GMM are used for the estimations and causality analysis. As a case study, the paper applies the techniques on panel data from Malaysia for two cross-sections, Islamic banks and Islamic banking schemes, with monthly frequency from January 2010 to January 2015. The results accept the null hypothesis of total investment deposits do not affect mudarabah and musharakah financing offered by Islamic banks. The results tend to indicate the presence of the positive long-run and short-run relationships between total investment deposits and mudarabah and musharakah financing but no causality from the former to the latter. Firstly, the positive long-run and short-run relationships may arise from the long-run and short-run influence of variables other than the microeconomic and macroeconomic variables specified by the empirical investigation. Secondly, the mudarabah and musharakah financing offered by Islamic banks appear driven by financing recipients’ preferences on the type of financing contract and not by total investment deposits, assuming the availability of supply of investment or PLS deposits more than or equal to the demand for mudarabah and musharakah or PLS financing. Thus, policymakers’ strategy on whether or not to promote PLS deposits to fund suppliers or PLS financing to fund demanders depends on the supply of the former and the demand for the latter.

Suggested Citation

  • Othman, Arshad Nuval & Masih, Mansur, 2015. "Do profit and loss sharing (PLS) deposits also affect PLS financing? Evidence from Malaysia based on DOLS, FMOLS and system GMM techniques," MPRA Paper 65224, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:65224
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/65224/1/MPRA_paper_65224.pdf
    File Function: original version
    Download Restriction: no

    References listed on IDEAS

    as
    1. Pedroni, Peter, 2004. "Panel Cointegration: Asymptotic And Finite Sample Properties Of Pooled Time Series Tests With An Application To The Ppp Hypothesis," Econometric Theory, Cambridge University Press, vol. 20(03), pages 597-625, June.
    2. Dumitrescu, Elena-Ivona & Hurlin, Christophe, 2012. "Testing for Granger non-causality in heterogeneous panels," Economic Modelling, Elsevier, vol. 29(4), pages 1450-1460.
    3. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    4. Kao, Chihwa, 1999. "Spurious regression and residual-based tests for cointegration in panel data," Journal of Econometrics, Elsevier, vol. 90(1), pages 1-44, May.
    5. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    6. Pedroni, Peter, 1999. " Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 653-670, Special I.
    7. A. Calza & C. Gartner & J. Sousa, 2003. "Modelling the demand for loans to the private sector in the euro area," Applied Economics, Taylor & Francis Journals, vol. 35(1), pages 107-117.
    8. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 39(3), pages 106-135.
    9. Abdul Ghafar b. Ismail & Achmad Tohirin, 2010. "Islamic law and finance," Humanomics: The International Journal of Systems and Ethics, Emerald Group Publishing, vol. 26(3), pages 178-199, August.
    10. Peter C. B. Phillips & Hyungsik R. Moon, 1999. "Linear Regression Limit Theory for Nonstationary Panel Data," Econometrica, Econometric Society, vol. 67(5), pages 1057-1112, September.
    11. Chong, Beng Soon & Liu, Ming-Hua, 2009. "Islamic banking: Interest-free or interest-based?," Pacific-Basin Finance Journal, Elsevier, vol. 17(1), pages 125-144, January.
    12. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    13. Imran, Kashif & Nishat, Mohammed, 2013. "Determinants of bank credit in Pakistan: A supply side approach," Economic Modelling, Elsevier, vol. 35(C), pages 384-390.
    14. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    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. Abdi, Aisha Aden & Masih, Mansur, 2017. "Do macroeconomic variables affect stock–sukuk correlation in the regional markets? evidence from the GCC countries based on DOLS and FM-OLS," MPRA Paper 79753, University Library of Munich, Germany.

    More about this item

    Keywords

    profit and loss sharing deposits and financing; DOLS; FMOLS; system GMM;

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:pra:mprapa:65224. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joachim Winter). General contact details of provider: http://edirc.repec.org/data/vfmunde.html .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.