Does oil future increase the network systemic risk of financial institutions in China?
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DOI: 10.1016/j.apenergy.2024.123176
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- Härdle, Wolfgang Karl & Wang, Weining & Yu, Lining, 2016.
"TENET: Tail-Event driven NETwork risk,"
Journal of Econometrics, Elsevier, vol. 192(2), pages 499-513.
- Härdle, Wolfgang Karl & Sirotko-Sibirskaya, Natalia & Wang, Weining, 2014. "TENET: Tail-Event driven NETwork risk," SFB 649 Discussion Papers 2014-066, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
- Wagner, Wolf, 2010.
"Diversification at financial institutions and systemic crises,"
Journal of Financial Intermediation, Elsevier, vol. 19(3), pages 373-386, July.
- Wagner, W.B., 2006. "Diversification at Financial Institutions and Systemic Crises," Discussion Paper 2006-71, Tilburg University, Center for Economic Research.
- Ahmed, Abdullahi D. & Huo, Rui, 2021. "Volatility transmissions across international oil market, commodity futures and stock markets: Empirical evidence from China," Energy Economics, Elsevier, vol. 93(C).
- Brogaard, Jonathan & Li, Dan & Xia, Ying, 2017. "Stock liquidity and default risk," Journal of Financial Economics, Elsevier, vol. 124(3), pages 486-502.
- 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.
- Corsi, Fulvio & Lillo, Fabrizio & Pirino, Davide & Trapin, Luca, 2018. "Measuring the propagation of financial distress with Granger-causality tail risk networks," Journal of Financial Stability, Elsevier, vol. 38(C), pages 18-36.
- Viral V. Acharya & Lasse H. Pedersen & Thomas Philippon & Matthew Richardson, 2017.
"Measuring Systemic Risk,"
The Review of Financial Studies, Society for Financial Studies, vol. 30(1), pages 2-47.
- Viral V. Acharya & Christian Brownlees & Robert Engle & Farhang Farazmand & Matthew Richardson, 2013. "Measuring Systemic Risk," World Scientific Book Chapters, in: Oliviero Roggi & Edward I Altman (ed.), Managing and Measuring Risk Emerging Global Standards and Regulations After the Financial Crisis, chapter 3, pages 65-98, World Scientific Publishing Co. Pte. Ltd..
- Viral V. Acharya, 2011. "Measuring Systemic Risk," World Scientific Book Chapters, in: Stijn Claessens & Douglas D Evanoff & George G Kaufman & Laura E Kodres (ed.), Macroprudential Regulatory Policies The New Road to Financial Stability?, chapter 10, pages 133-143, World Scientific Publishing Co. Pte. Ltd..
- Viral V. Acharya, 2010. "Measuring systemic risk," Proceedings 1140, Federal Reserve Bank of Chicago.
- Richardson, Matthew P & Philippon, Thomas & Acharya, Viral & Pedersen, Lasse Heje, 2012. "Measuring Systemic Risk," CEPR Discussion Papers 8824, C.E.P.R. Discussion Papers.
- Viral V. Acharya & Lasse H. Pedersen & Thomas Philippon & Matthew Richardson, 2010. "Measuring systemic risk," Working Papers (Old Series) 1002, Federal Reserve Bank of Cleveland.
- Brunetti, Celso & Harris, Jeffrey H. & Mankad, Shawn & Michailidis, George, 2019.
"Interconnectedness in the interbank market,"
Journal of Financial Economics, Elsevier, vol. 133(2), pages 520-538.
- Celso Brunetti & Jeffrey H. Harris & Shawn Mankad & George Michailidis, 2015. "Interconnectedness in the Interbank Market," Finance and Economics Discussion Series 2015-90, Board of Governors of the Federal Reserve System (U.S.).
- Jian Yang & Cheng Hsiao & Qi Li & Zijun Wang, 2006.
"The emerging market crisis and stock market linkages: further evidence,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(6), pages 727-744, September.
- Cheng Hsiao & Zijun Wang & Jian Yang & Qi Li, 2006. "The emerging market crisis and stock market linkages: further evidence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(6), pages 727-744.
- Jian Yang & Cheng Hsiao & Qi Li & Zijun Wang, 2005. "The Emerging Market Crisis and Stock Market Linkages: Further Evidence," IEPR Working Papers 05.27, Institute of Economic Policy Research (IEPR).
- Rafiq, Shudhasattwa & Sgro, Pasquale & Apergis, Nicholas, 2016. "Asymmetric oil shocks and external balances of major oil exporting and importing countries," Energy Economics, Elsevier, vol. 56(C), pages 42-50.
- Loungani, Prakash, 1986. "Oil Price Shocks and the Dispersion Hypothesis," The Review of Economics and Statistics, MIT Press, vol. 68(3), pages 536-539, August.
- Matthew Elliott & Benjamin Golub & Matthew O. Jackson, 2014. "Financial Networks and Contagion," American Economic Review, American Economic Association, vol. 104(10), pages 3115-3153, October.
- Matteo Barigozzi & Marc Hallin, 2017.
"A network analysis of the volatility of high dimensional financial series,"
Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 66(3), pages 581-605, April.
- Barigozzi, Matteo & Hallin, Marc, 2017. "A network analysis of the volatility of high-dimensionalfinancial series," LSE Research Online Documents on Economics 67456, London School of Economics and Political Science, LSE Library.
- Pan, Zhiyuan & Wang, Yudong & Wu, Chongfeng & Yin, Libo, 2017. "Oil price volatility and macroeconomic fundamentals: A regime switching GARCH-MIDAS model," Journal of Empirical Finance, Elsevier, vol. 43(C), pages 130-142.
- Koop, Gary & Korobilis, Dimitris, 2013.
"Large time-varying parameter VARs,"
Journal of Econometrics, Elsevier, vol. 177(2), pages 185-198.
- Koop, Gary & Korobilis, Dimitris, 2012. "Large time-varying parameter VARs," MPRA Paper 38591, University Library of Munich, Germany.
- Gary Koop & Dimitris Korobilis, 2012. "Large Time-Varying Parameter VARs," Working Paper series 11_12, Rimini Centre for Economic Analysis.
- Gary Koop & Dimitris Korobilis, 2012. "Large time-varying parameter VARs," Working Papers 2012_04, Business School - Economics, University of Glasgow.
- Koop, Gary & Korobilis, Dimitris, 2012. "Large Time-Varying Parameter VARs," SIRE Discussion Papers 2012-14, Scottish Institute for Research in Economics (SIRE).
- Shahzad, Syed Jawad Hussain & Mensi, Walid & Hammoudeh, Shawkat & Rehman, Mobeen Ur & Al-Yahyaee, Khamis H., 2018. "Extreme dependence and risk spillovers between oil and Islamic stock markets," Emerging Markets Review, Elsevier, vol. 34(C), pages 42-63.
- Marcellino, Massimiliano & Sivec, Vasja, 2016.
"Monetary, fiscal and oil shocks: Evidence based on mixed frequency structural FAVARs,"
Journal of Econometrics, Elsevier, vol. 193(2), pages 335-348.
- Marcellino, Massimiliano & Sivec, Vasja, 2015. "Monetary, Fiscal and Oil Shocks: Evidence based on Mixed Frequency Structural FAVARs," CEPR Discussion Papers 10610, C.E.P.R. Discussion Papers.
- repec:eme:mfppss:mf-11-2019-0554 is not listed on IDEAS
- Hing Lin Chan & Kai-Yin Woo, 2016. "An investigation into the dynamic relationship between international and China’s crude oil prices," Applied Economics, Taylor & Francis Journals, vol. 48(24), pages 2215-2224, May.
- Wang, Yudong & Wu, Chongfeng, 2012. "Forecasting energy market volatility using GARCH models: Can multivariate models beat univariate models?," Energy Economics, Elsevier, vol. 34(6), pages 2167-2181.
- Chan, Joshua C.C. & Grant, Angelia L., 2016.
"Modeling energy price dynamics: GARCH versus stochastic volatility,"
Energy Economics, Elsevier, vol. 54(C), pages 182-189.
- Joshua C.C. Chan & Angelia L. Grant, 2015. "Modeling energy price dynamics: GARCH versus stochastic volatility," CAMA Working Papers 2015-20, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Corbet, Shaen & Goodell, John W. & Günay, Samet, 2020. "Co-movements and spillovers of oil and renewable firms under extreme conditions: New evidence from negative WTI prices during COVID-19," Energy Economics, Elsevier, vol. 92(C).
- Shao, Liuguo & Zhang, Hua & Chen, Jinyu & Zhu, Xuehong, 2021. "Effect of oil price uncertainty on clean energy metal stocks in China: Evidence from a nonparametric causality-in-quantiles approach," International Review of Economics & Finance, Elsevier, vol. 73(C), pages 407-419.
- Mei Li, 2023. "Market expectation management and renminbi exchange rate policy under depreciation pressure," China Economic Journal, Taylor & Francis Journals, vol. 16(1), pages 63-79, January.
- Dai, Zhifeng & Kang, Jie, 2021. "Bond yield and crude oil prices predictability," Energy Economics, Elsevier, vol. 97(C).
- Dai, Zhifeng & Zhu, Junxin & Zhang, Xinhua, 2022. "Time-frequency connectedness and cross-quantile dependence between crude oil, Chinese commodity market, stock market and investor sentiment," Energy Economics, Elsevier, vol. 114(C).
- Nomikos, Nikos K. & Pouliasis, Panos K., 2011. "Forecasting petroleum futures markets volatility: The role of regimes and market conditions," Energy Economics, Elsevier, vol. 33(2), pages 321-337, March.
- White, Halbert & Kim, Tae-Hwan & Manganelli, Simone, 2015.
"VAR for VaR: Measuring tail dependence using multivariate regression quantiles,"
Journal of Econometrics, Elsevier, vol. 187(1), pages 169-188.
- Habert white & Tae-Hwan Kim & Simone Manganelli, 2012. "VAR for VaR: Measuring Tail Dependence Using Multivariate Regression Quantiles," Working papers 2012rwp-45, Yonsei University, Yonsei Economics Research Institute.
- Manganelli, Simone & White, Halbert & Kim, Tae-Hwan, 2015. "VAR for VaR: measuring tail dependence using multivariate regression quantiles," Working Paper Series 1814, European Central Bank.
- Sims, Christopher A. & Zha, Tao, 2006.
"Does Monetary Policy Generate Recessions?,"
Macroeconomic Dynamics, Cambridge University Press, vol. 10(2), pages 231-272, April.
- Christopher A. Sims & Tao Zha, 1998. "Does monetary policy generate recessions?," FRB Atlanta Working Paper 98-12, Federal Reserve Bank of Atlanta.
- Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
- Zhu, Huiming & Chen, Weiyan & Hau, Liya & Chen, Qitong, 2021. "Time-frequency connectedness of crude oil, economic policy uncertainty and Chinese commodity markets: Evidence from rolling window analysis," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
- O. Scaillet, 2004. "Nonparametric Estimation and Sensitivity Analysis of Expected Shortfall," Mathematical Finance, Wiley Blackwell, vol. 14(1), pages 115-129, January.
- Zhang, Yue-Jun & Fan, Ying & Tsai, Hsien-Tang & Wei, Yi-Ming, 2008. "Spillover effect of US dollar exchange rate on oil prices," Journal of Policy Modeling, Elsevier, vol. 30(6), pages 973-991.
- Elsayed, Ahmed H. & Nasreen, Samia & Tiwari, Aviral Kumar, 2020. "Time-varying co-movements between energy market and global financial markets: Implication for portfolio diversification and hedging strategies," Energy Economics, Elsevier, vol. 90(C).
- Christian Brownlees & Robert F. Engle, 2017.
"SRISK: A Conditional Capital Shortfall Measure of Systemic Risk,"
The Review of Financial Studies, Society for Financial Studies, vol. 30(1), pages 48-79.
- Brownlees, Christian & Engle, Robert F., 2017. "SRISK: a conditional capital shortfall measure of systemic risk," ESRB Working Paper Series 37, European Systemic Risk Board.
- 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).
- 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.
- Zihui Yang & Yinggang Zhou, 2017. "Quantitative Easing and Volatility Spillovers Across Countries and Asset Classes," Management Science, INFORMS, vol. 63(2), pages 333-354, February.
- Zulfigarov, Farid & Neuenkirch, Matthias, 2020. "The impact of oil price changes on selected macroeconomic indicators in Azerbaijan," Economic Systems, Elsevier, vol. 44(4).
- Shu Tong & Mohammed Majdy M. Baslom & Hussain Zaid H. Alsharif, 2018. "Investigating Volatility in Saudi Arabia Crude Oil Prices and its impact on oil Stock Market," International Journal of Energy Economics and Policy, Econjournals, vol. 8(4), pages 338-346.
- Hua Chen & Tao Sun, 2020. "Tail Risk Networks of Insurers Around the Globe: An Empirical Examination of Systemic Risk for G‐SIIs vs Non‐G‐SIIs," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 87(2), pages 285-318, June.
- Al-Yahyaee, Khamis Hamed & Mensi, Walid & Sensoy, Ahmet & Kang, Sang Hoon, 2019. "Energy, precious metals, and GCC stock markets: Is there any risk spillover?," Pacific-Basin Finance Journal, Elsevier, vol. 56(C), pages 45-70.
- Xiao, Jihong & Zhou, Min & Wen, Fengming & Wen, Fenghua, 2018. "Asymmetric impacts of oil price uncertainty on Chinese stock returns under different market conditions: Evidence from oil volatility index," Energy Economics, Elsevier, vol. 74(C), pages 777-786.
- Zhiwei Zhang & Dayong Zhang & Fei Wu & Qiang Ji, 2021. "Systemic risk in the Chinese financial system: A copula‐based network approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 2044-2063, April.
- Hamilton, James D, 1983. "Oil and the Macroeconomy since World War II," Journal of Political Economy, University of Chicago Press, vol. 91(2), pages 228-248, April.
- Wen, Jun & Zhao, Xin-Xin & Chang, Chun-Ping, 2021. "The impact of extreme events on energy price risk," Energy Economics, Elsevier, vol. 99(C).
- Gang-Jin Wang & Chi Xie & Kaijian He & H. Eugene Stanley, 2017. "Extreme risk spillover network: application to financial institutions," Quantitative Finance, Taylor & Francis Journals, vol. 17(9), pages 1417-1433, September.
- Doojav, Gan-Ochir, 2017. "Factors explaining high interest rates in Mongolia: A Markov Regime-Switching approach," MPRA Paper 103514, University Library of Munich, Germany.
- Amritkant Mishra, 2019. "Crude oil, stock market, and foreign exchange return volatility and spillover: a GARCH DCC analysis of Indian and Japanese financial market," International Journal of Business Innovation and Research, Inderscience Enterprises Ltd, vol. 20(1), pages 25-46.
- Bai, Shuming & Koong, Kai S., 2018. "Oil prices, stock returns, and exchange rates: Empirical evidence from China and the United States," The North American Journal of Economics and Finance, Elsevier, vol. 44(C), pages 12-33.
- Rong Xu & Jialu Chang & Conggang Li & Wenlan Wang, 2019. "Research on the influence of equity pledge on stock price crash risk: based on financial shock of 2015 stock market crisis," Economic and Political Studies, Taylor & Francis Journals, vol. 7(4), pages 480-505, October.
- Conrad, Christian & Loch, Karin & Rittler, Daniel, 2014. "On the macroeconomic determinants of long-term volatilities and correlations in U.S. stock and crude oil markets," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 26-40.
- Khan, Muhammad Asif & Hernandez, Jose Arreola & Shahzad, Syed Jawad Hussain, 2020. "Time and frequency relationship between household investors’ sentiment index and US industry stock returns," Finance Research Letters, Elsevier, vol. 36(C).
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Keywords
Oil future; Cross-institutional infection spillover effects; Generalized forecast error variance decomposition; Transmission mechanism;All these keywords.
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