References
- R. Barro, “The stock market and investment,” The Review of Financial Studies, vol. 3, no. 1, 1990, pp. 115–131.
- L. Wang, “Stock market valuation, foreign investment, and cross-country arbitrage,” Global Finance Journal, vol. 40, 2019, pp. 74–84.
- N. Nguyen and C. Trouong, “The information content of stock markets around the world: A cultural explanation,” Journal of International Financial Markets, Institutions and Money, vol. 26, 2013, pp. 1–29.
- I. Tsai, “The source of global stock market risk: A viewpoint of economic policy uncertainty,” Economic Modelling, vol. 60, 2017, pp. 122–131.
- D. Giles and Y. Li, “Modelling volatility spillover effects between developed stock markets and Asian emerging stock markets,” International Journal of Finance & Economics, vol. 20, no. 2, 2014, pp. 155–177.
- W. Mensi, S. Hammoudeh, S. Shahzad and M. Shahbaz, “Modeling systemic risk and dependence structure between oil and stock markets using a variational mode decomposition-based copula method,” Journal of Banking & Finance, vol. 75, 2017, pp. 258–279.
- R. Efendi, N. Arbaiy and M. Deris, “A new procedure in stock market forecasting based on fuzzy random auto-regression time series model,” Information Sciences, vol. 441, 2018, pp. 113–132.
- A. Bukhari, M. S. S. Raja, S. Islam, M. Shoaib and P. Kuman, “Fractional neuro-sequential ARFIMALSTM for financial market forecasting,” IEEE Access, vol. 8, 2020, pp. 71326–71338.
- G. Caporale, K. You and L. Chen, “Global and regional stock market integration in Asia: A panel convergence approach,” International Review of Financial Analysis, vol. 65, 2019, p. 101381.
- C. Botoc and S. Anton, “New empirical evidence on CEE’s stock markets integration,” The World Economy, vol. 43, no. 10, 2020, pp. 2785–2802.
- J. Barunik, E. Kocenda and L. Vacha, “Gold, oil, and stocks: Dynamic correlations,” International Review of Economics & Finance, vol. 42, 2016, pp. 186–201.
- S. Jung and W. Chang, “Clustering stocks using partial correlation coefficients,” Physica A: Statistical Mechanics and its Applications, vol. 462, 2016, pp. 410–420.
- G. Wang, C. Xie and H. Stanley, “Correlation structure and evolution of world stock markets: Evidence from Pearson and partial correlationbased networks,” Computational Economics volume, vol. 51, 2018, pp. 607–635.
- R. Yager, “On ordered weighted averaging aggregation operators in multi-criteria decision making,” IEEE Trans. Syst. Man Cybern. B, vol. 18, 1988, pp. 183–190.
- R. Yager and D. Filev, “Induced ordered weighted averaging operators,” IEEE transactions on systems, man and cybernetics, vol. 29, no. 2, 1999, pp. 141–150.
- J. Merigó, “Probabilities in the OWA operator,” Expert Systems with Applications, vol. 39, 2012, pp. 11456–11467.
- J. Merigó, “A unified model between the weighted average and the induced OWA operator.,” Expert Systems with Applications, vol. 39, no. 9, pp. 11560–11572, 2011.
- J. Merigó, C. Lobato-Carral and A. Carrillero- Castillo, “Decision making in the European Union under risk and uncertainty,” European Journal International Management, vol. 6, no. 5, 2012, pp. 590–609.
- R. Yager and G. Beliakov, “OWA Operators in Regression Problems,” IEEE Transactions on Fuzzy Systems, vol. 18, no. 1, pp. 106–113, 2010.
- M. Flores-Sosa, E. Avilés-Ochoa, J. Merigó, and R. Yager, “Volatility GARCH models with the ordered weighted average (OWA) operators,” Information Sciences, vol. 565, 2021, pp. 46–61.
- E. León-Castro, L. Espinoza-Audelo, J. Merigó, E. Herrera-Viedma and F. Herrera, “Measuring volatility based on ordered weighted average operators: Agricultural products prices case of use,” Fuzzy Sets and Systems, 2020.
- J. Merigó, M. Guillen and J. Sarabia, “The Ordered Weighted Average in the Variance and the Covariance,” International Journal of Intelligent Systems, vol. 30, no. 9, 2015, pp. 985–1005.
- J. Merigó, “A unified model between the weighted average and the induced OWA operator,” Expert Systems with Applications, vol. 38, no. 9, 2011, pp. 11560–11572.
- R. Yager, K. Engemann and D. Filev, “On the concept of immediate probabilities,” International Journal of Intelligent Systems, vol. 10, 1995, pp. 373–397.
- J. Merigó, “A unified model between the weighted average and the induced OWA operator,” Expert Systems with applicacions, vol. 38, 2011, pp. 11560–11572.
- R. Yager, “On the inclusion of variance in decision making under uncertainty,” International Journal Uncertain Fuzzy Knowl-Based Systems, vol. 4, pp. 401–419, 1996.
- J. Merigó, “A unified model between the weighted average and the induced OWA operator,” Expert Systems with Applications, vol. 38, pp. 11560–11572, 2011.
- K. Pearson, “Mathematical contributions to the theory of evolution-III. Regression, heredity, and panmixia,” Philosoplical Transactions of the Royal Society A, vol. 18, 1896, pp. 253–318.
- J. Benesty, J. Chen, Y. Huang, and I. Cohen, “Pearson Correlation Coefficient,” Noise Reduction in Speech Processing, vol. 2, 2009, pp. 1–4.
- R. Yager, “On ardered weighted averaging aggregation operators in multi-criteria decision making,” IEEE Transactions Systems. Man Cybernetics B, vol. 18, 1988, pp. 183–190.
- R. Yager, “Constrained OWA aggregation,” Fuzzy Sets and Systems, vol. 81, 1996, pp. 89–101.
- R. Yager, “Heavy OWA operators,” Fuzzy Optimization and Decision Making, vol. 1, 2002, pp. 379–297.
- D. Blesser and J. Yang, “The structure of interdependence in international stock markets,” Journal of International Money and Finance, vol. 22, no. 2, 2003, pp. 261–267.
- X. Zhang, X. Zheng, and D. Zeng, “The dynamic interdependence of international financial markets: An empirical study on twenty-seven stock markets,” Physica A: Statistical Mechanics and its Applications, vol. 472, 2017, pp. 32–42.
- J. Chevallier, “Market integration and financial linkages among stock markets in Pacific Basin countries,” Journal of Empirical Finance, vol. 46, 2018, pp. 77–92.
- H. Markowitz, “Portafolio selection,” The Journal of Finance, vol. 7, 1852, pp. 77–91.
- S. Paramati, A. Zakari, M. Jalle, S. Kale and P. Begari, “The dynamic impact of bilateral trade linkages on stock market correlations of Australia and China,” Applied Economics Letters, vol. 25, no. 3, 2018, pp. 141–145.
- R. Dias, J. Vidigal da Silva, and A. Dionisio, “Financial markets of the LAC region: Does the crisis influence the financial integration?,” International Review of Financial Analysis, vol. 63, 2019, pp. 160–173.
- P. Ferreira, E. Pereira, M.F. da Silva, and H. Pereira, “Detrended correlation coefficients between oil and stock markets: The effect of the 2008 crisis,” Physica A: Statistical Mechanics and its Applications, vol. 517, 2019, pp. 86–96.
- S. Singhal, S. Choudhary, and P. Biswal, “Return and volatility linkages among International crude oil price, gold price, exchange rate and stock markets: Evidence from Mexico,” Resources Policy, vol. 60, 2019, pp. 255–261.
- H. Hou and S. Cheng, “The dynamic effects of banking, life insurance, and stock markets on economic growth,” Japan and the World Economy, vol. 41, 2017, pp. 87–97.
- T. Fufa and J. Kim, “Stock markets, banks, and economic growth: Evidence from more homogeneous panels,” Research in International Business and Finance., vol. 44, 2018, pp. 504–517.
- S. Baker, N. Bloom, S. Davis, K. Kost, M. Sammon, and T. Viratyosin, “The Unprecedented Stock Market Reaction to COVID-19,” The Review of Asset Pricing Studies, vol. 10, no. 4, 2020, pp. 742–758.
- B. Ashraf, “Stock markets’ reaction to COVID- 19: Cases or fatalities?,” Research in International Business and Finance, vol. 54, 2020, p. 101249.
- J. Rodgers and W. Nicewander, “Thirteen ways to look at the correlation coefficient,” The American Statistician, vol. 42, no. 1, 1988, pp. 59–66.
- [46]
- G. Kabir, S. Tesfamariam, J. Loeppky, and R. Sadiq, “Integrating Bayesian Linear Regression with Ordered Weighted Averaging: Uncertainty Analysis for Predicting Water Main Failures,” Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, vol. 1, no. 3, 2015.