Stock market efficiency: A comparative analysis of Islamic and conventional stock markets
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DOI: 10.1016/j.physa.2018.02.169
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- 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.
- Paresh Kumar Narayan & Russell Smyth, 2004. "Is South Korea's stock market efficient?," Applied Economics Letters, Taylor & Francis Journals, vol. 11(11), pages 707-710.
- Yang, Liansheng & Zhu, Yingming & Wang, Yudong, 2016. "Multifractal characterization of energy stocks in China: A multifractal detrended fluctuation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 357-365.
- Paresh Kumar Narayan & Russell Smyth, 2005. "Are OECD stock prices characterized by a random walk? Evidence from sequential trend break and panel data models," Applied Financial Economics, Taylor & Francis Journals, vol. 15(8), pages 547-556.
- Zhao, Huan & He, Shaofang, 2016. "Analysis of speech signals’ characteristics based on MF-DFA with moving overlapping windows," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 442(C), pages 343-349.
- Al-Khazali, Osamah & Mirzaei, Ali, 2017. "Stock market anomalies, market efficiency and the adaptive market hypothesis: Evidence from Islamic stock indices," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 51(C), pages 190-208.
- Chancharat, Surachai & Valadkhani, Abbas, 2007. "Structural Breaks and Testing for the Random Walk Hypothesis in International Stock Prices," MPRA Paper 50394, University Library of Munich, Germany.
- Jamaani, Fouad & Roca, Eduardo, 2015. "Are the regional Gulf stock markets weak-form efficient as single stock markets and as a regional stock market?," Research in International Business and Finance, Elsevier, vol. 33(C), pages 221-246.
- Zeynel Abidin Ozdemir, 2008. "Efficient market hypothesis: evidence from a small open-economy," Applied Economics, Taylor & Francis Journals, vol. 40(5), pages 633-641.
- Amélie Charles & Olivier Darné & Adrian Pop, 2011.
"Is the Islamic Finance Model More Resilient than the Conventional Model,"
Post-Print
hal-00763012, HAL.
- Amélie Charles & Olivier Darné & Adrian Pop, 2011. "Is the Islamic Finance Model More Resilient than the Conventional Model," Post-Print hal-00763014, HAL.
- Amélie Charles & Olivier Darné & Adrian Pop, 2011. "Is the Islamic Finance Model More Resilient than the Conventional Model," Post-Print hal-00763013, HAL.
- Zivot, Eric & Andrews, Donald W K, 2002.
"Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 25-44, January.
- Zivot, Eric & Andrews, Donald W K, 1992. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(3), pages 251-270, July.
- Eric Zivot & Donald W.K. Andrews, 1990. "Further Evidence on the Great Crash, the Oil Price Shock, and the Unit Root Hypothesis," Cowles Foundation Discussion Papers 944, Cowles Foundation for Research in Economics, Yale University.
- Tom Doan, "undated". "ZIVOT: RATS procedure to perform Zivot-Andrews Unit Root Test," Statistical Software Components RTS00236, Boston College Department of Economics.
- Buerhan Saiti & Obiyathulla I. Bacha & Mansur Masih, 2014. "The diversification benefits from Islamic investment during the financial turmoil: The case for the US-based equity investors," Borsa Istanbul Review, Research and Business Development Department, Borsa Istanbul, vol. 14(4), pages 196-211, December.
- Cajueiro, Daniel O & Tabak, Benjamin M, 2004. "The Hurst exponent over time: testing the assertion that emerging markets are becoming more efficient," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 336(3), pages 521-537.
- Benjamin Miranda Tabak, 2003.
"The random walk hypothesis and the behaviour of foreign capital portfolio flows: the Brazilian stock market case,"
Applied Financial Economics, Taylor & Francis Journals, vol. 13(5), pages 369-378.
- Benjamin Miranda Tabak, 2002. "The Random Walk Hypothesis and the Behavior of Foreign Capital Portfolio Flows: the Brazilian Stock Market Case," Working Papers Series 58, Central Bank of Brazil, Research Department.
- Di Matteo, T. & Aste, T. & Dacorogna, M.M., 2003. "Scaling behaviors in differently developed markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 324(1), pages 183-188.
- Matteo, T. Di & Aste, T. & Dacorogna, Michel M., 2005.
"Long-term memories of developed and emerging markets: Using the scaling analysis to characterize their stage of development,"
Journal of Banking & Finance, Elsevier, vol. 29(4), pages 827-851, April.
- T. Di Matteo & T. Aste & M. M. Dacorogna, 2004. "Long term memories of developed and emerging markets: using the scaling analysis to characterize their stage of development," Papers cond-mat/0403681, arXiv.org.
- T. Di Matteo & T. Aste & Michel M. Dacorogna, 2005. "Long-term memories of developed and emerging markets: Using the scaling analysis to characterize their stage of development," Econometrics 0503004, University Library of Munich, Germany.
- Alexeev, Vitali & Tapon, Francis, 2011.
"Testing weak form efficiency on the Toronto Stock Exchange,"
Journal of Empirical Finance, Elsevier, vol. 18(4), pages 661-691, September.
- Vitali Alexeev & Francis Tapon, 2010. "Testing Weak Form Efficiency on the Toronto Stock Exchange," Working Papers 1002, University of Guelph, Department of Economics and Finance.
- Robin L. Lumsdaine & David H. Papell, 1997.
"Multiple Trend Breaks And The Unit-Root Hypothesis,"
The Review of Economics and Statistics, MIT Press, vol. 79(2), pages 212-218, May.
- Tom Doan, "undated". "LPUNIT: RATS procedure to implement Lumsdaine-Papell unit root test with structural breaks," Statistical Software Components RTS00110, Boston College Department of Economics.
- di Mauro, Filippo & Caristi, Pierluigi & Couderc, Stéphane & di Maria, Angela & Ho, Lauren & Grewal, Beljeet Kaur & Masciantonio, Sergio & Ongena, Steven & Zaher, Sajjad, 2013. "Islamic finance in Europe," Occasional Paper Series 146, European Central Bank.
- Zhuang, Xiaoyang & Wei, Yu & Ma, Feng, 2015. "Multifractality, efficiency analysis of Chinese stock market and its cross-correlation with WTI crude oil price," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 430(C), pages 101-113.
- Cajueiro, Daniel O. & Tabak, Benjamin M., 2007. "Long-range dependence and multifractality in the term structure of LIBOR interest rates," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 373(C), pages 603-614.
- Chancharat,Surachai & Valadkhani, Abbas, 2007. "Testing for the Random Walk Hypothesis and Structural Breaks in International Stock Prices," Economics Working Papers wp07-15, School of Economics, University of Wollongong, NSW, Australia.
- Tiwari, Aviral Kumar & Kyophilavong, Phouphet, 2014. "New evidence from the random walk hypothesis for BRICS stock indices: a wavelet unit root test approach," Economic Modelling, Elsevier, vol. 43(C), pages 38-41.
- Wang, Yudong & Liu, Li & Gu, Rongbao, 2009. "Analysis of efficiency for Shenzhen stock market based on multifractal detrended fluctuation analysis," International Review of Financial Analysis, Elsevier, vol. 18(5), pages 271-276, December.
- Maria K. Boutchkova & William L. Megginson, 2000. "Privatization and the Rise of Global Capital Markets," Financial Management, Financial Management Association, vol. 29(4), Winter.
- Asli Demirguk-Kunt & Thorsten Beck & Ouarda Merrouche, 2013. "Islamic Banking versus Conventional Banking: Business model, Efficiency, and Stability," Post-Print hal-01638080, HAL.
- Kwapień, J. & Oświe¸cimka, P. & Drożdż, S., 2005. "Components of multifractality in high-frequency stock returns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 350(2), pages 466-474.
- Majumder, Debasish, 2013. "Towards an efficient stock market: Empirical evidence from the Indian market," Journal of Policy Modeling, Elsevier, vol. 35(4), pages 572-587.
- Fama, Eugene F, 1991. "Efficient Capital Markets: II," Journal of Finance, American Finance Association, vol. 46(5), pages 1575-1617, December.
- Metghalchi, Massoud & Chen, Chien-Ping & Hayes, Linda A., 2015. "History of share prices and market efficiency of the Madrid general stock index," International Review of Financial Analysis, Elsevier, vol. 40(C), pages 178-184.
- Wang, Juan & Zhang, Dongxiang & Zhang, Jian, 2015. "Mean reversion in stock prices of seven Asian stock markets: Unit root test and stationary test with Fourier functions," International Review of Economics & Finance, Elsevier, vol. 37(C), pages 157-164.
- Pagan, Adrian, 1996. "The econometrics of financial markets," Journal of Empirical Finance, Elsevier, vol. 3(1), pages 15-102, May.
- Oświe¸cimka, P. & Kwapień, J. & Drożdż, S., 2005. "Multifractality in the stock market: price increments versus waiting times," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 347(C), pages 626-638.
- Cajueiro, Daniel O. & Gogas, Periklis & Tabak, Benjamin M., 2009. "Does financial market liberalization increase the degree of market efficiency? The case of the Athens stock exchange," International Review of Financial Analysis, Elsevier, vol. 18(1-2), pages 50-57, March.
- Ang, Andrew & Goetzmann, William N. & Schaefer, Stephen M., 2011. "The Efficient Market Theory and Evidence: Implications for Active Investment Management," Foundations and Trends(R) in Finance, now publishers, vol. 5(3), pages 157-242, June.
- Pasquini, Michele & Serva, Maurizio, 1999. "Multiscale behaviour of volatility autocorrelations in a financial market," Economics Letters, Elsevier, vol. 65(3), pages 275-279, December.
- Cajueiro, Daniel O. & Tabak, Benjamin M., 2005. "Testing for time-varying long-range dependence in volatility for emerging markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 346(3), pages 577-588.
- Shahzad, Syed Jawad Hussain & Nor, Safwan Mohd & Mensi, Walid & Kumar, Ronald Ravinesh, 2017. "Examining the efficiency and interdependence of US credit and stock markets through MF-DFA and MF-DXA approaches," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 351-363.
- di Mauro, Filippo & Ongena, Steven & Caristi, Pierluigi & Couderc, Stéphane & di Maria, Angela & Ho, Lauren & Grewal, Beljeet Kaur & Masciantonio, Sergio & Zaher, Sajjad, 2013. "Islamic finance in Europe," Occasional Paper Series 146, European Central Bank.
- Eduardo Jose Araujo Lima & Benjamin Miranda Tabak, 2004. "Tests of the random walk hypothesis for equity markets: evidence from China, Hong Kong and Singapore," Applied Economics Letters, Taylor & Francis Journals, vol. 11(4), pages 255-258.
- Neaime, Simon, 2015. "Are emerging MENA stock markets mean reverting? A Monte Carlo simulation," Finance Research Letters, Elsevier, vol. 13(C), pages 74-80.
- Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
- Gozbasi, Onur & Kucukkaplan, Ilhan & Nazlioglu, Saban, 2014. "Re-examining the Turkish stock market efficiency: Evidence from nonlinear unit root tests," Economic Modelling, Elsevier, vol. 38(C), pages 381-384.
- Kantelhardt, Jan W. & Zschiegner, Stephan A. & Koscielny-Bunde, Eva & Havlin, Shlomo & Bunde, Armin & Stanley, H.Eugene, 2002. "Multifractal detrended fluctuation analysis of nonstationary time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 316(1), pages 87-114.
- 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.
- Beck, Thorsten & Demirgüç-Kunt, Asli & Merrouche, Ouarda, 2013.
"Islamic vs. conventional banking: Business model, efficiency and stability,"
Journal of Banking & Finance, Elsevier, vol. 37(2), pages 433-447.
- Beck, Thorsten & Demirguc-Kunt, Asli & Merrouche, Ouarda, 2010. "Islamic vs. conventional banking : business model, efficiency and stability," Policy Research Working Paper Series 5446, The World Bank.
- Ho, Catherine Soke Fun & Abd Rahman, Nurul Afiqah & Yusuf, Noor Hafizha Muhamad & Zamzamin, Zaminor, 2014. "Performance of global Islamic versus conventional share indices: International evidence," Pacific-Basin Finance Journal, Elsevier, vol. 28(C), pages 110-121.
- Adlai Fisher & Laurent Calvet & Benoit Mandelbrot, 1997. "Multifractality of Deutschemark/US Dollar Exchange Rates," Cowles Foundation Discussion Papers 1166, Cowles Foundation for Research in Economics, Yale University.
- Zunino, L. & Tabak, B.M. & Figliola, A. & Pérez, D.G. & Garavaglia, M. & Rosso, O.A., 2008. "A multifractal approach for stock market inefficiency," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(26), pages 6558-6566.
- Rizvi, Syed Aun R. & Dewandaru, Ginanjar & Bacha, Obiyathulla I. & Masih, Mansur, 2014. "An analysis of stock market efficiency: Developed vs Islamic stock markets using MF-DFA," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 407(C), pages 86-99.
- Bai, Man-Ying & Zhu, Hai-Bo, 2010. "Power law and multiscaling properties of the Chinese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(9), pages 1883-1890.
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More about this item
Keywords
Efficiency; Stock markets; Islamic stocks; MF-DFA; Global financial crisis;All these keywords.
JEL classification:
- G1 - Financial Economics - - General Financial Markets
- G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
- G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
Statistics
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