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Assessment of 48 Stock markets using adaptive multifractal approach

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  • Paulo Ferreira
  • Andreia Dion'isio
  • S. M. S. Movahed

Abstract

Stock market comovements are examined using cointegration, Granger causality tests and nonlinear approaches in context of mutual information and correlations. Underlying data sets are affected by non-stationarities and trends, we also apply AMF-DFA and AMF-DXA. We find only 170 pair of Stock markets cointegrated, and according to the Granger causality and mutual information, we realize that the strongest relations lies between emerging markets, and between emerging and frontier markets. According to scaling exponent given by AMF-DFA, $h(q=2)>1$, we find that all underlying data sets belong to non-stationary process. According to EMH, only 8 markets are classified in uncorrelated processes at $2\sigma$ confidence interval. 6 Stock markets belong to anti-correlated class and dominant part of markets has memory in corresponding daily index prices during January 1995 to February 2014. New-Zealand with $H=0.457\pm0.004$ and Jordan with $H=0.602\pm 0.006$ are far from EMH. The nature of cross-correlation exponents based on AMF-DXA is almost multifractal for all pair of Stock markets. The empirical relation, $H_{xy}\le [H_{xx}+H_{yy}]/2$, is confirmed. Mentioned relation for $q>0$ is also satisfied while for $q

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  • Paulo Ferreira & Andreia Dion'isio & S. M. S. Movahed, 2015. "Assessment of 48 Stock markets using adaptive multifractal approach," Papers 1502.05603, arXiv.org, revised Jul 2017.
    • Handle: RePEc:arx:papers:1502.05603
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    1. Marcelo Fernandes & Breno Neri, 2010. "Nonparametric Entropy-Based Tests of Independence Between Stochastic Processes," Econometric Reviews, Taylor & Francis Journals, vol. 29(3), pages 276-306.
    2. Ng, Yew-Kwang, 1987. "The Role of Economists and Third-Best Policies," Public Finance = Finances publiques, , vol. 42(1), pages 152-155.
    3. anonymous, 1987. "New Zealand economic chronology 1986," Reserve Bank of New Zealand Bulletin, Reserve Bank of New Zealand, vol. 50, march.
    4. Anonymous, 1991. "Economic forecasts," Reserve Bank of New Zealand Bulletin, Reserve Bank of New Zealand, vol. 54, march.
    5. Anonymous, 1991. "New Zealand economic chronology 1990," Reserve Bank of New Zealand Bulletin, Reserve Bank of New Zealand, vol. 54, june.
    6. anonymous, 1987. "Review of domestic and external economy," Reserve Bank of New Zealand Bulletin, Reserve Bank of New Zealand, vol. 50, march.
    7. anonymous, 1991. "Regional economic development and public policy," Monograph, Federal Reserve Bank of Kansas City, number 1991redap, March.
    8. Anonymous, 1991. "Economic Forecasts," Reserve Bank of New Zealand Bulletin, Reserve Bank of New Zealand, vol. 54, september.
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    1. Ferreira, Paulo, 2018. "Long-range dependencies of Eastern European stock markets: A dynamic detrended analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 454-470.
    2. Akash P. POOJARI & Siva Kiran GUPTHA & G Raghavender RAJU, 2022. "Multifractal analysis of equities. Evidence from the emerging and frontier banking sectors," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(3(632), A), pages 61-80, Autumn.
    3. Banerjee, Ameet Kumar & Akhtaruzzaman, Md & Dionisio, Andreia & Almeida, Dora & Sensoy, Ahmet, 2022. "Nonlinear nexus between cryptocurrency returns and COVID-19 news sentiment," Journal of Behavioral and Experimental Finance, Elsevier, vol. 36(C).
    4. Wang, Lei & Liu, Lutao, 2020. "Long-range correlation and predictability of Chinese stock prices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 549(C).
    5. Parthajit Kayal & Moinak Maiti, 2023. "Examining the asymmetric information flow between pairs of gold, silver, and oil: a transfer entropy approach," SN Business & Economics, Springer, vol. 3(10), pages 1-22, October.
    6. Melike E. Bildirici & Memet Salman & Özgür Ömer Ersin, 2022. "Nonlinear Contagion and Causality Nexus between Oil, Gold, VIX Investor Sentiment, Exchange Rate and Stock Market Returns: The MS-GARCH Copula Causality Method," Mathematics, MDPI, vol. 10(21), pages 1-16, October.
    7. Ashok Chanabasangouda Patil & Shailesh Rastogi, 2020. "Multifractal Analysis of Market Efficiency across Structural Breaks: Implications for the Adaptive Market Hypothesis," JRFM, MDPI, vol. 13(10), pages 1-18, October.
    8. Memon, Bilal Ahmed & Yao, Hongxing & Naveed, Hafiz Muhammad, 2022. "Examining the efficiency and herding behavior of commodity markets using multifractal detrended fluctuation analysis. Empirical evidence from energy, agriculture, and metal markets," Resources Policy, Elsevier, vol. 77(C).

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