IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/106226.html
   My bibliography  Save this paper

Is there any causal link between shariah index and islamic unit trust growth ? Malaysian evidence

Author

Listed:
  • Farid, Hazim
  • Masih, Mansur

Abstract

Islamic-based unit trust fund has been growing exponentially since 2007 and is believed as the main agent of stabilizer for FTSE Bursa Malaysia EMAS Shariah Index since then. This paper investigates the relationship between Islamic unit trust’s net asset value (NAV) growth as the focus variable and FTSE Bursa Malaysia EMAS Shariah Index (FTFBMS )along with other control variables such as, Brent oil, USD/MYR exchange and inflation rate. Revealing the relationship will give us the right steps to build a stable Shariah index. We employed the Auto Regressive Distributed Lags (ARDL) or ‘Bounds Test’ to find cointegration, and Variance Decomposition (VDC) to discover exogeneity and endogeneity among the variables. Malaysia is used as a case study. The Variance Decomposition shows that inflation leads changes followed by USD/MYR exchange rate with Islamic unit trust being the most endogenous or lagging. There are significant relationships between the variables in the long run with a strong causal link between FTSE Bursa Malaysia EMAS Shariah Index and Islamic unit trust funds growth where the latter is affected mostly by the former. The results have strong policy implications.

Suggested Citation

  • Farid, Hazim & Masih, Mansur, 2018. "Is there any causal link between shariah index and islamic unit trust growth ? Malaysian evidence," MPRA Paper 106226, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:106226
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/106226/1/MPRA_paper_106226.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Raddatz, Claudio & Schmukler, Sergio L., 2012. "On the international transmission of shocks: Micro-evidence from mutual fund portfolios," Journal of International Economics, Elsevier, vol. 88(2), pages 357-374.
    2. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    3. Tony Caporale & Chulho Jung, 1997. "Inflation and real stock prices," Applied Financial Economics, Taylor & Francis Journals, vol. 7(3), pages 265-266.
    4. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    5. Hondroyiannis, George & Papapetrou, Evangelia, 2006. "Stock returns and inflation in Greece: A Markov switching approach," Review of Financial Economics, Elsevier, vol. 15(1), pages 76-94.
    6. Roger D. Huang & Ronald W. Masulis & Hans R. Stoll, 1996. "Energy shocks and financial markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 16(1), pages 1-27, February.
    7. Arouri Mohamed el hédi & Fouquau Julien, 2009. "On the short-term influence of oil price changes on stock markets in gcc countries: linear and nonlinear analyses," Economics Bulletin, AccessEcon, vol. 29(2), pages 795-804.
    8. Naseri, Marjan & Masih, Mansur, 2013. "Causality between Malaysian Islamic Stock Market and Macroeconomic Variables," MPRA Paper 60247, University Library of Munich, Germany.
    9. Sadorsky, Perry, 1999. "Oil price shocks and stock market activity," Energy Economics, Elsevier, vol. 21(5), pages 449-469, October.
    10. Jones, Charles M & Kaul, Gautam, 1996. "Oil and the Stock Markets," Journal of Finance, American Finance Association, vol. 51(2), pages 463-491, June.
    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. Chu, Patrick Kuok Kun, 2010. "The price linkages between the equity fund price levels and the stock markets: Evidences from cointegration approach and causality analysis of Hong Kong Mandatory Provident Fund (MPF)," International Review of Financial Analysis, Elsevier, vol. 19(4), pages 281-288, September.
    13. Wongbangpo, Praphan & Sharma, Subhash C., 2002. "Stock market and macroeconomic fundamental dynamic interactions: ASEAN-5 countries," Journal of Asian Economics, Elsevier, vol. 13(1), pages 27-51.
    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. Mansor H. Ibrahim and Wan Sulaiman Wan Yusoff, 2001. "Macroeconomic Variables, Exchange Rate And Stock Price: A Malaysian Perspective," IIUM Journal of Economics and Management, IIUM Journal of Economis and Management, vol. 9(2), pages 141-164, December.
    Full references (including those not matched with items on IDEAS)

    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. Le, Thai-Ha & Chang, Youngho, 2011. "The impact of oil price fluctuations on stock markets in developed and emerging economies," MPRA Paper 31753, University Library of Munich, Germany.
    2. Ahmed, Abdullahi D. & Huo, Rui, 2021. "Volatility transmissions across international oil market, commodity futures and stock markets: Empirical evidence from China," Energy Economics, Elsevier, vol. 93(C).
    3. Chang, Chia-Lin & McAleer, Michael & Tansuchat, Roengchai, 2013. "Conditional correlations and volatility spillovers between crude oil and stock index returns," The North American Journal of Economics and Finance, Elsevier, vol. 25(C), pages 116-138.
    4. Md Fouad Bin Amin & Mohd Ziaur Rehman, 2022. "Asymmetric Linkages of Oil Prices, Money Supply, and TASI on Sectoral Stock Prices in Saudi Arabia: A Non-Linear ARDL Approach," SAGE Open, , vol. 12(1), pages 21582440211, January.
    5. Arouri Mohamed El Hedi & Jawadi Fredj, 2010. "Short and long-term links between oil prices and stock markets in Europe," Economics Bulletin, AccessEcon, vol. 30(1), pages 817-828.
    6. Mohamed El Hédi Arouri & Christophe Rault, 2010. "Les effets des fluctuations du prix du pétrole sur les marchés boursiers dans les pays du Golfe," Revue économique, Presses de Sciences-Po, vol. 61(5), pages 945-959.
    7. Rehman, Mobeen Ur & Zeitun, Rami & Mardani, Abbas & Vo, Xuan Vinh & Eraslan, Veysel, 2022. "Asymmetric pass through of energy commodities to US sectoral returns," Resources Policy, Elsevier, vol. 76(C).
    8. Khalfaoui, Rabeh & Sarwar, Suleman & Tiwari, Aviral Kumar, 2019. "Analysing volatility spillover between the oil market and the stock market in oil-importing and oil-exporting countries: Implications on portfolio management," Resources Policy, Elsevier, vol. 62(C), pages 22-32.
    9. Bahmani-Oskooee, Mohsen & Ghodsi, Seyed Hesam & Hadzic, Muris, 2019. "Asymmetric causality between oil price and stock returns:A sectoral analysis," Economic Analysis and Policy, Elsevier, vol. 63(C), pages 165-174.
    10. Ghosh, Sajal & Kanjilal, Kakali, 2016. "Co-movement of international crude oil price and Indian stock market: Evidences from nonlinear cointegration tests," Energy Economics, Elsevier, vol. 53(C), pages 111-117.
    11. Hashmi, Shabir Mohsin & Chang, Bisharat Hussain & Bhutto, Niaz Ahmed, 2021. "Asymmetric effect of oil prices on stock market prices: New evidence from oil-exporting and oil-importing countries," Resources Policy, Elsevier, vol. 70(C).
    12. Cevik, Nuket Kirci & Cevik, Emrah I. & Dibooglu, Sel, 2020. "Oil prices, stock market returns and volatility spillovers: Evidence from Turkey," Journal of Policy Modeling, Elsevier, vol. 42(3), pages 597-614.
    13. Mohamed El Hedi Arouri & Jamel Jouini & Nhu Tuyen Le & Duc Khuong Nguyen, 2012. "On the Relationship between World Oil Prices and GCC Stock Markets," Journal of Quantitative Economics, The Indian Econometric Society, vol. 10(1), pages 98-120, January.
    14. Sujata Saha, 2022. "Asymmetric Impact of Oil Price Changes on Stock Prices: Evidence from Country and Sectoral Level Data," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 46(2), pages 237-282, April.
    15. Manel Youssef & Khaled Mokni, 2019. "Do Crude Oil Prices Drive the Relationship between Stock Markets of Oil-Importing and Oil-Exporting Countries?," Economies, MDPI, vol. 7(3), pages 1-22, July.
    16. Mehmet Balcilar & İsmail H. Genç & Rangan Gupta, 2016. "The Links between Crude Oil Prices and GCC Stock Markets: Evidence from Time-Varying Granger Causality Tests," Working Papers 201644, University of Pretoria, Department of Economics.
    17. Ahmed, Maruf Yakubu & Sarkodie, Samuel Asumadu, 2021. "Counterfactual shock in energy commodities affects stock market dynamics: Evidence from the United States," Resources Policy, Elsevier, vol. 72(C).
    18. Shawkat Hammoudeh & Eisa Aleisa, 2004. "Dynamic Relationships among GCC Stock Markets and Nymex Oil Futures," Contemporary Economic Policy, Western Economic Association International, vol. 22(2), pages 250-269, April.
    19. 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.
    20. Alexandra Horobet & Georgiana Vrinceanu & Consuela Popescu & Lucian Belascu, 2019. "Oil Price and Stock Prices of EU Financial Companies: Evidence from Panel Data Modeling," Energies, MDPI, vol. 12(21), pages 1-17, October.

    More about this item

    Keywords

    EMAS Shariah index; Unit trust; ARDL; VDC; Malaysia;
    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
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy

    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:106226. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.