Spillovers and connectedness among BRICS stock markets, cryptocurrencies, and uncertainty: Evidence from the quantile vector autoregression network
Author
Abstract
Suggested Citation
DOI: 10.1016/j.ememar.2023.101002
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Betz, Frank & Hautsch, Nikolaus & Peltonen, Tuomas A. & Schienle, Melanie, 2016.
"Systemic risk spillovers in the European banking and sovereign network,"
Journal of Financial Stability, Elsevier, vol. 25(C), pages 206-224.
- Betz, Frank & Hautsch, Nikolaus & Peltonen, Tuomas A. & Schienle, Melanie, 2014. "Systemic risk spillovers in the European banking and sovereign network," CFS Working Paper Series 467, Center for Financial Studies (CFS).
- Betz, Frank & Hautsch, Nikolaus & Peltonen, Tuomas A. & Schienle, Melanie, 2016. "Systemic risk spillovers in the European banking and sovereign network," Working Paper Series in Economics 79, Karlsruhe Institute of Technology (KIT), Department of Economics and Management.
- Andrew Ang & Geert Bekaert, 2002. "International Asset Allocation With Regime Shifts," The Review of Financial Studies, Society for Financial Studies, vol. 15(4), pages 1137-1187.
- 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.
- 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.
- Demir, Ender & Gozgor, Giray & Lau, Chi Keung Marco & Vigne, Samuel A., 2018. "Does economic policy uncertainty predict the Bitcoin returns? An empirical investigation," Finance Research Letters, Elsevier, vol. 26(C), pages 145-149.
- Bouri, Elie & Gupta, Rangan & Tiwari, Aviral Kumar & Roubaud, David, 2017.
"Does Bitcoin hedge global uncertainty? Evidence from wavelet-based quantile-in-quantile regressions,"
Finance Research Letters, Elsevier, vol. 23(C), pages 87-95.
- Elie Bouri & Rangan Gupta & Aviral Kumar Tiwari & David Roubaud, 2016. "Does Bitcoin Hedge Global Uncertainty? Evidence from Wavelet-Based Quantile-in-Quantile Regressions," Working Papers 201690, University of Pretoria, Department of Economics.
- Elie Bouri & Rangan Gupta & Aviral Kumar Tiwari & David Roubaud, 2017. "Does Bitcoin hedge global uncertainty? Evidence from wavelet-based quantile-in-quantile regressions," Post-Print hal-02008552, HAL.
- Syed Jawad Hussain Shahzad & Elie Bouri & Mobeen Ur Rehman & David Roubaud, 2022. "The hedge asset for BRICS stock markets: Bitcoin, gold or VIX," The World Economy, Wiley Blackwell, vol. 45(1), pages 292-316, January.
- Ahelegbey, Daniel Felix, 2015. "The Econometrics of Bayesian Graphical Models: A Review With Financial Application," MPRA Paper 92634, University Library of Munich, Germany, revised 25 Apr 2016.
- Lucey, Brian M. & Vigne, Samuel A. & Yarovaya, Larisa & Wang, Yizhi, 2022. "The cryptocurrency uncertainty index," Finance Research Letters, Elsevier, vol. 45(C).
- Bouri, Elie & Lucey, Brian & Saeed, Tareq & Vo, Xuan Vinh, 2020. "Extreme spillovers across Asian-Pacific currencies: A quantile-based analysis," International Review of Financial Analysis, Elsevier, vol. 72(C).
- Wang, Gang-Jin & Xie, Chi & Lin, Min & Stanley, H. Eugene, 2017. "Stock market contagion during the global financial crisis: A multiscale approach," Finance Research Letters, Elsevier, vol. 22(C), pages 163-168.
- Ifedolapo Olabisi Olanipekun & Hasan Güngör & Godwin Olasehinde-Williams, 2019. "Unraveling the Causal Relationship Between Economic Policy Uncertainty and Exchange Market Pressure in BRIC Countries: Evidence From Bootstrap Panel Granger Causality," SAGE Open, , vol. 9(2), pages 21582440198, June.
- Umar, Muhammad & Farid, Saqib & Naeem, Muhammad Abubakr, 2022. "Time-frequency connectedness among clean-energy stocks and fossil fuel markets: Comparison between financial, oil and pandemic crisis," Energy, Elsevier, vol. 240(C).
- Ahmad, Wasim & Sehgal, Sanjay & Bhanumurthy, N.R., 2013. "Eurozone crisis and BRIICKS stock markets: Contagion or market interdependence?," Economic Modelling, Elsevier, vol. 33(C), pages 209-225.
- Mensi, Walid & Shafiullah, Muhammad & Vo, Xuan Vinh & Kang, Sang Hoon, 2021. "Volatility spillovers between strategic commodity futures and stock markets and portfolio implications: Evidence from developed and emerging economies," Resources Policy, Elsevier, vol. 71(C).
- Buchanan, Bonnie G. & English II, Philip C. & Gordon, Rachel, 2011. "Emerging market benefits, investability and the rule of law," Emerging Markets Review, Elsevier, vol. 12(1), pages 47-60, March.
- Mensi, Walid & Hammoudeh, Shawkat & Nguyen, Duc Khuong & Kang, Sang Hoon, 2016. "Global financial crisis and spillover effects among the U.S. and BRICS stock markets," International Review of Economics & Finance, Elsevier, vol. 42(C), pages 257-276.
- Jozef Baruník & Tobias Kley, 2019.
"Quantile coherency: A general measure for dependence between cyclical economic variables,"
The Econometrics Journal, Royal Economic Society, vol. 22(2), pages 131-152.
- Jozef Barun'ik & Tobias Kley, 2015. "Quantile Coherency: A General Measure for Dependence between Cyclical Economic Variables," Papers 1510.06946, arXiv.org, revised Dec 2018.
- 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.
- 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).
- Ghabri, Yosra & Guesmi, Khaled & Zantour, Ahlem, 2021. "Bitcoin and liquidity risk diversification," Finance Research Letters, Elsevier, vol. 40(C).
- Jena, Sangram Keshari & Tiwari, Aviral Kumar & Aikins Abakah, Emmanuel Joel & Hammoudeh, Shawkat, 2022. "The connectedness in the world petroleum futures markets using a Quantile VAR approach," Journal of Commodity Markets, Elsevier, vol. 27(C).
- Ahmad, Wasim, 2017. "On the dynamic dependence and investment performance of crude oil and clean energy stocks," Research in International Business and Finance, Elsevier, vol. 42(C), pages 376-389.
- Maitra, Debasish & Rehman, Mobeen Ur & Dash, Saumya Ranjan & Kang, Sang Hoon, 2021. "Oil price volatility and the logistics industry: Dynamic connectedness with portfolio implications," Energy Economics, Elsevier, vol. 102(C).
- Akyildirim, Erdinc & Corbet, Shaen & Lucey, Brian & Sensoy, Ahmet & Yarovaya, Larisa, 2020. "The relationship between implied volatility and cryptocurrency returns," Finance Research Letters, Elsevier, vol. 33(C).
- Kunjana Malik & Sakshi Sharma & Manmeet Kaur, 2021. "Measuring contagion during COVID-19 through volatility spillovers of BRIC countries using diagonal BEKK approach," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 49(2), pages 227-242, February.
- Gagan Sharma & Parthajit Kayal & Piyush Pandey, 2019. "Information Linkages Among BRICS Countries: Empirical Evidence from Implied Volatility Indices," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 18(3), pages 263-289, December.
- Su, Xianfang, 2020. "Dynamic behaviors and contributing factors of volatility spillovers across G7 stock markets," The North American Journal of Economics and Finance, Elsevier, vol. 53(C).
- Leirvik, Thomas, 2022. "Cryptocurrency returns and the volatility of liquidity," Finance Research Letters, Elsevier, vol. 44(C).
- Mensi, Walid & Hammoudeh, Shawkat & Reboredo, Juan Carlos & Nguyen, Duc Khuong, 2014.
"Do global factors impact BRICS stock markets? A quantile regression approach,"
Emerging Markets Review, Elsevier, vol. 19(C), pages 1-17.
- Walid Mensi & Shawkat Hammoudeh & Juan Carlos Reboredo & Duc Khuong Nguyen, 2014. "Do global factors impact BRICS stock markets? A quantile regression approach," Working Papers 2014-159, Department of Research, Ipag Business School.
- Lahiani, Amine & jeribi, Ahmed & Jlassi, Nabila Boukef, 2021. "Nonlinear tail dependence in cryptocurrency-stock market returns: The role of Bitcoin futures," Research in International Business and Finance, Elsevier, vol. 56(C).
- Bouri, Elie & Gupta, Rangan & Hosseini, Seyedmehdi & Lau, Chi Keung Marco, 2018. "Does global fear predict fear in BRICS stock markets? Evidence from a Bayesian Graphical Structural VAR model," Emerging Markets Review, Elsevier, vol. 34(C), pages 124-142.
- Wang, Pengfei & Zhang, Wei & Li, Xiao & Shen, Dehua, 2019. "Is cryptocurrency a hedge or a safe haven for international indices? A comprehensive and dynamic perspective," Finance Research Letters, Elsevier, vol. 31(C), pages 1-18.
- Kai Shi, 2021. "Spillovers of Stock Markets among the BRICS: New Evidence in Time and Frequency Domains before the Outbreak of COVID-19 Pandemic," JRFM, MDPI, vol. 14(3), pages 1-37, March.
- Ahmed Jeribi & Achraf Ghorbel, 2021. "Forecasting developed and BRICS stock markets with cryptocurrencies and gold: generalized orthogonal generalized autoregressive conditional heteroskedasticity and generalized autoregressive score anal," International Journal of Emerging Markets, Emerald Group Publishing Limited, vol. 17(9), pages 2290-2320, March.
- Amine Lahiani & Ahmed Jeribi & Nabila Boukef Jlassi, 2021. "Nonlinear tail dependence in cryptocurrency-stock market returns: The role of Bitcoin futures," Post-Print hal-03573206, HAL.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Hoque, Mohammad Enamul & Soo-Wah, Low & Billah, Mabruk, 2023. "Time-frequency connectedness and spillover among carbon, climate, and energy futures: Determinants and portfolio risk management implications," Energy Economics, Elsevier, vol. 127(PB).
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Asadi, Mehrad & Tiwari, Aviral Kumar & Gholami, Samad & Ghasemi, Hamid Reza & Roubaud, David, 2023. "Understanding interconnections among steel, coal, iron ore, and financial assets in the US and China using an advanced methodology," International Review of Financial Analysis, Elsevier, vol. 89(C).
- Dai, Zhifeng & Zhang, Xiaotong & Yin, Zhujia, 2023. "Extreme time-varying spillovers between high carbon emission stocks, green bond and crude oil: Evidence from a quantile-based analysis," Energy Economics, Elsevier, vol. 118(C).
- Jian, Zhihong & Lu, Haisong & Zhu, Zhican & Xu, Huiling, 2023. "Frequency heterogeneity of tail connectedness: Evidence from global stock markets," Economic Modelling, Elsevier, vol. 125(C).
- Chen, Jinyu & Liang, Zhipeng & Ding, Qian & Liu, Zhenhua, 2022. "Extreme spillovers among fossil energy, clean energy, and metals markets: Evidence from a quantile-based analysis," Energy Economics, Elsevier, vol. 107(C).
- Gong, Xiao-Li & Zhao, Min & Wu, Zhuo-Cheng & Jia, Kai-Wen & Xiong, Xiong, 2023. "Research on tail risk contagion in international energy markets—The quantile time-frequency volatility spillover perspective," Energy Economics, Elsevier, vol. 121(C).
- Chen, Jinyu & Liang, Zhipeng & Ding, Qian & Liu, Zhenhua, 2022. "Quantile connectedness between energy, metal, and carbon markets," International Review of Financial Analysis, Elsevier, vol. 83(C).
- Achraf Ghorbel & Wajdi Frikha & Yasmine Snene Manzli, 2022. "Testing for asymmetric non-linear short- and long-run relationships between crypto-currencies and stock markets," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 12(3), pages 387-425, September.
- Urom, Christian, 2023. "Time–frequency dependence and connectedness between financial technology and green assets," International Economics, Elsevier, vol. 175(C), pages 139-157.
- Saeed, Tareq & Bouri, Elie & Alsulami, Hamed, 2021. "Extreme return connectedness and its determinants between clean/green and dirty energy investments," Energy Economics, Elsevier, vol. 96(C).
- Al-Shboul, Mohammad & Assaf, Ata & Mokni, Khaled, 2022. "When bitcoin lost its position: Cryptocurrency uncertainty and the dynamic spillover among cryptocurrencies before and during the COVID-19 pandemic," International Review of Financial Analysis, Elsevier, vol. 83(C).
- Asadi, Mehrad & Roudari, Soheil & Tiwari, Aviral Kumar & Roubaud, David, 2023. "Scrutinizing commodity markets by quantile spillovers: A case study of the Australian economy," Energy Economics, Elsevier, vol. 118(C).
- Balcilar, Mehmet & Ozdemir, Huseyin & Agan, Busra, 2022. "Effects of COVID-19 on cryptocurrency and emerging market connectedness: Empirical evidence from quantile, frequency, and lasso networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).
- Ahmad, Wasim & Mishra, Anil V. & Daly, Kevin, 2018. "Heterogeneous dependence and dynamic hedging between sectors of BRIC and global markets," International Review of Financial Analysis, Elsevier, vol. 59(C), pages 117-133.
- Li, Hailing & Li, Yuxin & Zhang, Hua, 2023. "The spillover effects among the traditional energy markets, metal markets and sub-sector clean energy markets," Energy, Elsevier, vol. 275(C).
- Ştefan Cristian Gherghina & Liliana Nicoleta Simionescu, 2023. "Exploring the asymmetric effect of COVID-19 pandemic news on the cryptocurrency market: evidence from nonlinear autoregressive distributed lag approach and frequency domain causality," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-58, December.
- Li, Zijian & Meng, Qiaoyu, 2022. "Time and frequency connectedness and portfolio diversification between cryptocurrencies and renewable energy stock markets during COVID-19," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
- Gagan Sharma & Parthajit Kayal & Piyush Pandey, 2019. "Information Linkages Among BRICS Countries: Empirical Evidence from Implied Volatility Indices," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 18(3), pages 263-289, December.
- Bouri, Elie & Harb, Etienne, 2022. "The size of good and bad volatility shocks does matter for spillovers," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
- Costola, Michele & Lorusso, Marco, 2022.
"Spillovers among energy commodities and the Russian stock market,"
Journal of Commodity Markets, Elsevier, vol. 28(C).
- Costola, Michele & Lorusso, Marco, 2021. "Spillovers among Energy Commodities and the Russian Stock Market," MPRA Paper 108990, University Library of Munich, Germany.
- Bouri, Elie & Lucey, Brian & Saeed, Tareq & Vo, Xuan Vinh, 2020. "Extreme spillovers across Asian-Pacific currencies: A quantile-based analysis," International Review of Financial Analysis, Elsevier, vol. 72(C).
More about this item
Keywords
Spillover; Cryptos; Uncertainty; Network analysis; Sensitivity; BRICS;All these keywords.
JEL classification:
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
- F36 - International Economics - - International Finance - - - Financial Aspects of Economic Integration
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ememar:v:54:y:2023:i:c:s1566014123000079. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/620356 .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.