[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/eee/ememar/v27y2016icp84-99.html
   My bibliography  Save this article

Measuring volatility persistence for conventional and Islamic banks: An FI-EGARCH approach

Author

Listed:
  • Fakhfekh, Mohamed
  • Hachicha, Nejib
  • Jawadi, Fredj
  • Selmi, Nadhem
  • Idi Cheffou, Abdoulkarim
Abstract
This paper studies the volatility dynamics of conventional and Islamic banks from the Gulf Cooperation Council (G.C.C) countries during calm and crisis periods, providing a dual comparison in time and space. In particular, it proposes an empirical measure of volatility persistence using the FIEGARCH (Fractionally Integrated Exponential Generalized Auto-Regressive Conditional Heteroscedasticity) model. This specification is useful for reproducing further asymmetry in volatility dynamics and provides a direct measure of long-term volatility dependence. Our findings point to three interesting findings. First, volatility exhibits asymmetry as bad news has a significantly higher impact on volatility than positive news. Second, bad news affects the volatility of conventional banks more strongly than that of Islamic banks. Third, it seems that following a shock, volatility is more persistent in conventional banks than in Islamic Banks. Accordingly, Islamic banks are more resilient than conventional banks, but the degree of resilience is somewhat heterogeneous and sample dependent. Thus, while this may appear to suggest that we could regulate the conventional bank system using the industry rules of Islamic banks, it is worth noting that Islamic banks in Saudi Arabia tend to provide the most resilient Islamic Bank benchmark model.

Suggested Citation

  • Fakhfekh, Mohamed & Hachicha, Nejib & Jawadi, Fredj & Selmi, Nadhem & Idi Cheffou, Abdoulkarim, 2016. "Measuring volatility persistence for conventional and Islamic banks: An FI-EGARCH approach," Emerging Markets Review, Elsevier, vol. 27(C), pages 84-99.
    • Handle: RePEc:eee:ememar:v:27:y:2016:i:c:p:84-99
    DOI: 10.1016/j.ememar.2016.03.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1566014116300164
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ememar.2016.03.004?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ahmad, Ausaf & Khan, Tariqullah & Iqbal, Munawar, 1998. "Challenges Facing Islamic Banking (Occasional Paper)," Occasional Papers 1998, The Islamic Research and Teaching Institute (IRTI).
    2. M. E. Arouri & H. Ben Ameur & N. Jawadi & F. Jawadi & W. Louhichi, 2013. "Are Islamic finance innovations enough for investors to escape from a financial downturn? Further evidence from portfolio simulations," Applied Economics, Taylor & Francis Journals, vol. 45(24), pages 3412-3420, August.
    3. Amélie Charles & Olivier Darné & Adrian Pop, 2011. "Is the Islamic Finance Model More Resilient than the Conventional Finance Model? Evidence from sudden changes in the volatility of Dow Jones indexes," Post-Print hal-00763015, HAL.
    4. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    5. repec:cii:cepiei:2014-q1-137-5 is not listed on IDEAS
    6. Choi, Kyongwook & Yu, Wei-Choun & Zivot, Eric, 2010. "Long memory versus structural breaks in modeling and forecasting realized volatility," Journal of International Money and Finance, Elsevier, vol. 29(5), pages 857-875, September.
    7. Elena Andreou & Eric Ghysels, 2002. "Detecting multiple breaks in financial market volatility dynamics," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(5), pages 579-600.
    8. Granger, Clive W. J. & Hyung, Namwon, 2004. "Occasional structural breaks and long memory with an application to the S&P 500 absolute stock returns," Journal of Empirical Finance, Elsevier, vol. 11(3), pages 399-421, June.
    9. Amélie Charles & Olivier Darné & Adrian Pop, 2011. "Is the Islamic Finance Model More Resilient than the Conventional Model," Post-Print hal-00763012, HAL.
    10. Khawla Bourkhis & Mahmoud Sami Nabi, 2013. "Islamic and conventional banks' soundness during the 2007–2008 financial crisis," Review of Financial Economics, John Wiley & Sons, vol. 22(2), pages 68-77, April.
    11. French, Kenneth R. & Schwert, G. William & Stambaugh, Robert F., 1987. "Expected stock returns and volatility," Journal of Financial Economics, Elsevier, vol. 19(1), pages 3-29, September.
    12. Mr. Jemma Dridi & Maher Hasan, 2010. "The Effects of the Global Crisison Islamic and Conventional Banks: A Comparative Study," IMF Working Papers 2010/201, International Monetary Fund.
    13. Engle, Robert F & Ng, Victor K, 1993. "Measuring and Testing the Impact of News on Volatility," Journal of Finance, American Finance Association, vol. 48(5), pages 1749-1778, December.
    14. Fredj Jawadi & Nabila Jawadi & Waël Louhichi, 2014. "Conventional and Islamic stock price performance: An empirical investigation," International Economics, CEPII research center, issue 137, pages 73-87.
    15. Feryel Ouerghi, 2014. "Are Islamic Banks More Resilient To Global Financial Crisis Than Conventional Banks?," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 4(7), pages 941-955.
    16. Bensafta, Kamel Malik & Semedo, Gervasio, 2009. "De la transmission de la volatilité à la contagion entre marchés boursiers : l’éclairage d’un modèle VAR non linéaire avec bris structurels en variance," L'Actualité Economique, Société Canadienne de Science Economique, vol. 85(1), pages 13-76, mars.
    17. Bhar, Ramaprasad & Nikolova, Biljana, 2009. "Return, volatility spillovers and dynamic correlation in the BRIC equity markets: An analysis using a bivariate EGARCH framework," Global Finance Journal, Elsevier, vol. 19(3), pages 203-218.
    18. Thomas Mikosch & Catalin Starica, 2004. "Non-stationarities in financial time series, the long range dependence and the IGARCH effects," Econometrics 0412005, University Library of Munich, Germany.
    19. Pejman Abedifar & Shahid M. Ebrahim & Philip Molyneux & Amine Tarazi, 2015. "Islamic Banking And Finance: Recent Empirical Literature And Directions For Future Research," Journal of Economic Surveys, Wiley Blackwell, vol. 29(4), pages 637-670, September.
    20. Louis O. Scott, 1991. "Financial Market Volatility: A Survey," IMF Staff Papers, Palgrave Macmillan, vol. 38(3), pages 582-625, September.
    21. Hillebrand, Eric, 2005. "Neglecting parameter changes in GARCH models," Journal of Econometrics, Elsevier, vol. 129(1-2), pages 121-138.
    22. Kyongwook Choi & Shawkat Hammoudeh, 2009. "Long Memory in Oil and Refined Products Markets," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 97-116.
    23. Feryel OUERGHI, 2014. "Are Islamic Banks More Resilient To Global Financial Crisis Than Conventional Banks?," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 4(7), pages 941-955, July.
    24. Amélie Charles, 2011. "Is the Islamic Finance Model More Resilient than the Conventional Finance Model? Evidence from sudden changes in the volatility of Dow Jones indexes," Post-Print hal-00763010, HAL.
    25. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    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. Mensi, Walid & Hammoudeh, Shawkat & Yoon, Seong-Min, 2015. "Structural breaks, dynamic correlations, asymmetric volatility transmission, and hedging strategies for petroleum prices and USD exchange rate," Energy Economics, Elsevier, vol. 48(C), pages 46-60.
    2. WenShwo Fang & Stephen M. Miller, 2014. "Output Growth and its Volatility: The Gold Standard through the Great Moderation," Southern Economic Journal, John Wiley & Sons, vol. 80(3), pages 728-751, January.
    3. McAleer, Michael & Medeiros, Marcelo C., 2008. "A multiple regime smooth transition Heterogeneous Autoregressive model for long memory and asymmetries," Journal of Econometrics, Elsevier, vol. 147(1), pages 104-119, November.
    4. Arouri, Mohamed El Hedi & Hammoudeh, Shawkat & Lahiani, Amine & Nguyen, Duc Khuong, 2012. "Long memory and structural breaks in modeling the return and volatility dynamics of precious metals," The Quarterly Review of Economics and Finance, Elsevier, vol. 52(2), pages 207-218.
    5. Farooq Malik, 2015. "Revisiting the relationship between risk and return," Review of Quantitative Finance and Accounting, Springer, vol. 44(1), pages 25-40, January.
    6. Igor LEBRUN & Ludovic DOBBELAERE, 2010. "A Macro-econometric Model for the Economy of Lesotho," EcoMod2010 259600102, EcoMod.
    7. Halkos, George & Tzirivis, Apostolos, 2018. "Effective energy commodities’ risk management: Econometric modeling of price volatility," MPRA Paper 90781, University Library of Munich, Germany.
    8. Arouri, Mohamed El Hédi & Lahiani, Amine & Lévy, Aldo & Nguyen, Duc Khuong, 2012. "Forecasting the conditional volatility of oil spot and futures prices with structural breaks and long memory models," Energy Economics, Elsevier, vol. 34(1), pages 283-293.
    9. Mohamed Ali Trabelsi & Naama Trad, 2017. "Profitability and risk in interest-free banking industries: a dynamic panel data analysis," International Journal of Islamic and Middle Eastern Finance and Management, Emerald Group Publishing Limited, vol. 10(4), pages 454-469, October.
    10. Cizek, P. & Haerdle, W. & Spokoiny, V., 2007. "Adaptive Pointwise Estimation in Time-Inhomogeneous Time-Series Models," Discussion Paper 2007-35, Tilburg University, Center for Economic Research.
    11. Halkos, George E. & Tsirivis, Apostolos S., 2019. "Effective energy commodity risk management: Econometric modeling of price volatility," Economic Analysis and Policy, Elsevier, vol. 63(C), pages 234-250.
    12. Erragragui, Elias & Hassan, M. Kabir & Peillex, Jonathan & Khan, Abu Nahian Faisal, 2018. "Does ethics improve stock market resilience in times of instability?," Economic Systems, Elsevier, vol. 42(3), pages 450-469.
    13. Scharth, Marcel & Medeiros, Marcelo C., 2009. "Asymmetric effects and long memory in the volatility of Dow Jones stocks," International Journal of Forecasting, Elsevier, vol. 25(2), pages 304-327.
    14. Abu-Alkheil, Ahmad & Khan, Walayet A. & Parikh, Bhavik & Mohanty, Sunil K., 2017. "Dynamic co-integration and portfolio diversification of Islamic and conventional indices: Global evidence," The Quarterly Review of Economics and Finance, Elsevier, vol. 66(C), pages 212-224.
    15. Kuttu, Saint, 2018. "Modelling long memory in volatility in sub-Saharan African equity markets," Research in International Business and Finance, Elsevier, vol. 44(C), pages 176-185.
    16. Aharon, David Y. & Butt, Hassan Anjum & Jaffri, Ali & Nichols, Brian, 2023. "Asymmetric volatility in the cryptocurrency market: New evidence from models with structural breaks," International Review of Financial Analysis, Elsevier, vol. 87(C).
    17. repec:hum:wpaper:sfb649dp2008-002 is not listed on IDEAS
    18. Andersen, Torben G. & Bollerslev, Tim & Christoffersen, Peter F. & Diebold, Francis X., 2006. "Volatility and Correlation Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 15, pages 777-878, Elsevier.
    19. Hillebrand, Eric & Schnabl, Gunther & Ulu, Yasemin, 2009. "Japanese foreign exchange intervention and the yen-to-dollar exchange rate: A simultaneous equations approach using realized volatility," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(3), pages 490-505, July.
    20. Alagidede, Paul & Panagiotidis, Theodore, 2009. "Modelling stock returns in Africa's emerging equity markets," International Review of Financial Analysis, Elsevier, vol. 18(1-2), pages 1-11, March.
    21. P. Kearns & A.R. Pagan, 1993. "Australian Stock Market Volatility: 1875–1987," The Economic Record, The Economic Society of Australia, vol. 69(2), pages 163-178, June.

    More about this item

    Keywords

    Islamic and conventional banks; Volatility; Persistence; Asymmetry; FIEGARCH models;
    All these keywords.

    JEL classification:

    • C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

    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:eee:ememar:v:27:y:2016:i:c:p:84-99. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/620356 .

    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.