Dynamical Linkages and Frequency Spillovers between Crude Oil and Stock Markets in BRICS During Turbulent and Tranquil Times
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- Diebold, Francis X. & Yılmaz, Kamil, 2014.
"On the network topology of variance decompositions: Measuring the connectedness of financial firms,"
Journal of Econometrics, Elsevier, vol. 182(1), pages 119-134.
- Francis X. Diebold & Kamil Yilmaz, 2011. "On the Network Topology of Variance Decompositions: Measuring the Connectedness of Financial Firms," Koç University-TUSIAD Economic Research Forum Working Papers 1124, Koc University-TUSIAD Economic Research Forum.
- Francis X. Diebold & Kamil Yilmaz, 2011. "On the network topology of variance decompositions: Measuring the connectedness of financial firms," Working Papers 11-45, Federal Reserve Bank of Philadelphia.
- Francis X. Diebold & Kamil Yılmaz, 2011. "On the Network Topology of Variance Decompositions: Measuring the Connectedness of Financial Firms," PIER Working Paper Archive 11-031, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
- Francis X. Diebold & Kamil Yilmaz, 2011. "On the Network Topology of Variance Decompositions: Measuring the Connectedness of Financial Firms," NBER Working Papers 17490, National Bureau of Economic Research, Inc.
- Chatziantoniou, Ioannis & Gabauer, David & Stenfors, Alexis, 2021.
"Interest rate swaps and the transmission mechanism of monetary policy: A quantile connectedness approach,"
Economics Letters, Elsevier, vol. 204(C).
- Ioannis Chatziantoniou & David Gabauer & Alexis Stenfors, 2021. "Interest Rate Swaps and the Transmission Mechanism of Monetary Policy: A Quantile Connectedness Approach," Working Papers in Economics & Finance 2021-03, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group.
- Singhal, Shelly & Choudhary, Sangita & Biswal, Pratap Chandra, 2019. "Return and volatility linkages among International crude oil price, gold price, exchange rate and stock markets: Evidence from Mexico," Resources Policy, Elsevier, vol. 60(C), pages 255-261.
- Imlak Shaikh, 2021. "On the relation between the crude oil market and pandemic Covid-19," European Journal of Management and Business Economics, Emerald Group Publishing Limited, vol. 30(3), pages 331-356, May.
- Jiang, Yonghong & Feng, Qidi & Mo, Bin & Nie, He, 2020. "Visiting the effects of oil price shocks on exchange rates: Quantile-on-quantile and causality-in-quantiles approaches," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
- Bouri, Elie & Saeed, Tareq & Vo, Xuan Vinh & Roubaud, David, 2021. "Quantile connectedness in the cryptocurrency market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 71(C).
- Pesaran, H. Hashem & Shin, Yongcheol, 1998.
"Generalized impulse response analysis in linear multivariate models,"
Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
- Pesaran, M. H. & Shin, Y., 1997. "Generalised Impulse Response Analysis in Linear Multivariate Models," Cambridge Working Papers in Economics 9710, Faculty of Economics, University of Cambridge.
- Jiang, Wei & Chen, Yunfei, 2022. "The time-frequency connectedness among carbon, traditional/new energy and material markets of China in pre- and post-COVID-19 outbreak periods," Energy, Elsevier, vol. 246(C).
- Jozef Baruník & Tomáš Křehlík, 2018.
"Measuring the Frequency Dynamics of Financial Connectedness and Systemic Risk,"
Journal of Financial Econometrics, Oxford University Press, vol. 16(2), pages 271-296.
- Jozef Barunik & Tomas Krehlik, 2015. "Measuring the frequency dynamics of financial connectedness and systemic risk," Papers 1507.01729, arXiv.org, revised Dec 2017.
- Chang, Hao-Wen & Chang, Tsangyao & Ling, Yuan Hung & Yang, Yung-Lieh, 2023. "Dynamical linkages between the Brent oil price and stock markets in BRICS using quantile connectedness approach," Finance Research Letters, Elsevier, vol. 54(C).
- Diebold, Francis X. & Yilmaz, Kamil, 2012.
"Better to give than to receive: Predictive directional measurement of volatility spillovers,"
International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
- Francis X. Diebold & Kamil Yilmaz, 2010. "Better to Give than to Receive: Predictive Directional Measurement of Volatility Spillovers," Koç University-TUSIAD Economic Research Forum Working Papers 1001, Koc University-TUSIAD Economic Research Forum, revised Mar 2010.
- Mensi, Walid & Al Rababa'a, Abdel Razzaq & Vo, Xuan Vinh & Kang, Sang Hoon, 2021. "Asymmetric spillover and network connectedness between crude oil, gold, and Chinese sector stock markets," Energy Economics, Elsevier, vol. 98(C).
- Li, Yingli & Huang, Jianbai & Gao, Wang & Zhang, Hongwei, 2021. "Analyzing the time-frequency connectedness among oil, gold prices and BRICS geopolitical risks," Resources Policy, Elsevier, vol. 73(C).
- Syed Abul, Basher & Perry, Sadorsky, 2022. "Forecasting Bitcoin price direction with random forests: How important are interest rates, inflation, and market volatility?," MPRA Paper 113293, University Library of Munich, Germany.
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Crude oil price; stock market; quantile time-frequency connectedness.;All these keywords.
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