Sectoral Efficiency and Resilience: A Multifaceted Analysis of S&P Global BMI Indices Under Global Crises
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- Dario Caldara & Matteo Iacoviello, 2022.
"Measuring Geopolitical Risk,"
American Economic Review, American Economic Association, vol. 112(4), pages 1194-1225, April.
- Matteo Iacoviello, 2018. "Measuring Geopolitical Risk," 2018 Meeting Papers 79, Society for Economic Dynamics.
- Dario Caldara & Matteo Iacoviello, 2018. "Measuring Geopolitical Risk," International Finance Discussion Papers 1222r1, Board of Governors of the Federal Reserve System (U.S.), revised 23 Mar 2022.
- Achraf Ghorbel & Ahmed Jeribi, 2021. "Volatility spillovers and contagion between energy sector and financial assets during COVID-19 crisis period," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 11(3), pages 449-467, September.
- Sa Xu & Ziqing Du & Hai Zhang, 2020. "Can Crude Oil Serve as a Hedging Asset for Underlying Securities?—Research on the Heterogenous Correlation between Crude Oil and Stock Index," Energies, MDPI, vol. 13(12), pages 1-19, June.
- Wong, Woon K., 2010. "Backtesting value-at-risk based on tail losses," Journal of Empirical Finance, Elsevier, vol. 17(3), pages 526-538, June.
- Ladislav Kristoufek & Miloslav Vosvrda, 2014.
"Measuring capital market efficiency: long-term memory, fractal dimension and approximate entropy,"
The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 87(7), pages 1-9, July.
- Ladislav Kristoufek & Miloslav Vosvrda, 2013. "Measuring capital market efficiency: Long-term memory, fractal dimension and approximate entropy," Papers 1307.3060, arXiv.org, revised May 2014.
- Kristoufek, Ladislav & Vosvrda, Miloslav, 2014. "Measuring capital market efficiency: Long-term memory, fractal dimension and approximate entropy," FinMaP-Working Papers 18, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
- Kevin Dowd & John Cotter & Ghulam Sorwar, 2008.
"Spectral Risk Measures: Properties and Limitations,"
Journal of Financial Services Research, Springer;Western Finance Association, vol. 34(1), pages 61-75, August.
- Kevin Dowd & John Cotter & Ghulam Sorwar, 2010. "Spectral Risk Measures: Properties and Limitations," Working Papers 200839, Geary Institute, University College Dublin.
- Kevin Dowd & John Cotter & Ghulam Sorwar, 2011. "Spectral Risk Measures: Properties and Limitations," Papers 1103.5674, arXiv.org.
- Chen, Shengming & Bouteska, Ahmed & Sharif, Taimur & Abedin, Mohammad Zoynul, 2023. "The Russia–Ukraine war and energy market volatility: A novel application of the volatility ratio in the context of natural gas," Resources Policy, Elsevier, vol. 85(PA).
- Upadhyay, Shashankaditya & Banerjee, Anirban & Panigrahi, Prasanta K., 2020. "Causal evolution of global crisis in financial networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 554(C).
- Robert J. Shiller, 2003.
"From Efficient Markets Theory to Behavioral Finance,"
Journal of Economic Perspectives, American Economic Association, vol. 17(1), pages 83-104, Winter.
- Robert J. Shiller, 2002. "From Efficient Market Theory to Behavioral Finance," Cowles Foundation Discussion Papers 1385, Cowles Foundation for Research in Economics, Yale University.
- Shahzad, Umer & Mohammed, Kamel Si & Tiwari, Sunil & Nakonieczny, Joanna & Nesterowicz, Renata, 2023. "Connectedness between geopolitical risk, financial instability indices and precious metals markets: Novel findings from Russia Ukraine conflict perspective," Resources Policy, Elsevier, vol. 80(C).
- Burton G. Malkiel, 2005. "Reflections on the Efficient Market Hypothesis: 30 Years Later," The Financial Review, Eastern Finance Association, vol. 40(1), pages 1-9, February.
- Sahnaz Kocoglu & Aybuke Yalcin & Cemre Eda Erkilic, 2023. "Best performing stock market sectors of COVID-19 era: factors behind the success of healthcare and consumer staples sectors," International Journal of Economics and Business Research, Inderscience Enterprises Ltd, vol. 26(3), pages 307-324.
- Acerbi, Carlo, 2002. "Spectral measures of risk: A coherent representation of subjective risk aversion," Journal of Banking & Finance, Elsevier, vol. 26(7), pages 1505-1518, July.
- Carbone, A. & Castelli, G. & Stanley, H.E., 2004. "Time-dependent Hurst exponent in financial time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 344(1), pages 267-271.
- 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.
- Alexakis, Christos & Pappas, Vasileios, 2018. "Sectoral dynamics of financial contagion in Europe - The cases of the recent crises episodes," Economic Modelling, Elsevier, vol. 73(C), pages 222-239.
- Christos Alexakis & Vasileios Pappas, 2018. "Sectoral dynamics of financial contagion in Europe - The cases of the recent crises episodes," Post-Print hal-01992102, HAL.
- Wei-Xing Zhou, 2008. "Multifractal detrended cross-correlation analysis for two nonstationary signals," Papers 0803.2773, arXiv.org.
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Keywords
S&P Global BMI sectoral indices; price dynamics; efficient market hypothesis; informational efficiency; clustering; MFDCCA; COVID-19; Russian–Ukraine war; geopolitical risk;All these keywords.
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