IDEAS home Printed from https://ideas.repec.org/a/eee/finana/v90y2023ics1057521923004611.html
   My bibliography  Save this article

Dynamic spillover effects of global financial stress: Evidence from the quantile VAR network

Author

Listed:
  • Long, Shaobo
  • Li, Zixuan

Abstract

This paper investigates the spillover effects of financial stress at different quantile levels across the US, China, Eurozone, Japan, UK and India using a dynamic connectedness approach based on QVAR. The findings suggest significant spillover effects of financial stress among the six countries (regions), and the spillovers in extreme markets are apparently higher than those in normal markets. The US is the main transmitter of financial stress spillovers, while Japan and India are the net receivers. Furthermore, we show that the spillover effects of financial stress are time-varying, and the connectedness at the extreme upper and lower quantiles is asymmetric. In extreme markets, the directional spillover effects of China, India and Japan are significantly enhanced. These findings provide investors, regulators and governments with systematic insights to effectively identify and prevent financial risks.

Suggested Citation

  • Long, Shaobo & Li, Zixuan, 2023. "Dynamic spillover effects of global financial stress: Evidence from the quantile VAR network," International Review of Financial Analysis, Elsevier, vol. 90(C).
  • Handle: RePEc:eee:finana:v:90:y:2023:i:c:s1057521923004611
    DOI: 10.1016/j.irfa.2023.102945
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1057521923004611
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.irfa.2023.102945?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Bollerslev, Tim & Todorov, Viktor & Li, Sophia Zhengzi, 2013. "Jump tails, extreme dependencies, and the distribution of stock returns," Journal of Econometrics, Elsevier, vol. 172(2), pages 307-324.
    2. 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.
    3. Drakos, Konstantinos, 2010. "Terrorism activity, investor sentiment, and stock returns," Review of Financial Economics, Elsevier, vol. 19(3), pages 128-135, August.
    4. Mehmet Balcilar & Zeynel Abidin Ozdemir & Huseyin Ozdemir & Gurcan Aygun & Mark E. Wohar, 2022. "Effectiveness of monetary policy under the high and low economic uncertainty states: evidence from the major Asian economies," Empirical Economics, Springer, vol. 63(4), pages 1741-1769, October.
    5. Koenker, Roger & Xiao, Zhijie, 2006. "Quantile Autoregression," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 980-990, September.
    6. Dovern, Jonas & van Roye, Björn, 2014. "International transmission and business-cycle effects of financial stress," Journal of Financial Stability, Elsevier, vol. 13(C), pages 1-17.
    7. Cipollini, Andrea & Mikaliunaite, Ieva, 2020. "Macro-uncertainty and financial stress spillovers in the Eurozone," Economic Modelling, Elsevier, vol. 89(C), pages 546-558.
    8. 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.
    9. Nazlioglu, Saban & Soytas, Ugur & Gupta, Rangan, 2015. "Oil prices and financial stress: A volatility spillover analysis," Energy Policy, Elsevier, vol. 82(C), pages 278-288.
    10. François Longin & Bruno Solnik, 2001. "Extreme Correlation of International Equity Markets," Journal of Finance, American Finance Association, vol. 56(2), pages 649-676, April.
    11. Mikhail V. Oet & John M. Dooley & Stephen J. Ong, 2015. "The Financial Stress Index: Identification of Systemic Risk Conditions," Risks, MDPI, vol. 3(3), pages 1-25, September.
    12. Jana, Rabin K & Ghosh, Indranil & Goyal, Vinay, 2022. "Spillover nexus of financial stress during black Swan events," Finance Research Letters, Elsevier, vol. 48(C).
    13. Wang, Jie & Liu, Tangyong & Pan, Na, 2023. "Analyzing quantile spillover effects among international financial markets," The North American Journal of Economics and Finance, Elsevier, vol. 64(C).
    14. Park, Cyn-Young & Mercado, Rogelio V., 2014. "Determinants of financial stress in emerging market economies," Journal of Banking & Finance, Elsevier, vol. 45(C), pages 199-224.
    15. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    16. Cevik, Emrah Ismail & Dibooglu, Sel & Kutan, Ali M., 2013. "Measuring financial stress in transition economies," Journal of Financial Stability, Elsevier, vol. 9(4), pages 597-611.
    17. René M. Stulz, 2007. "The Limits of Financial Globalization," Journal of Applied Corporate Finance, Morgan Stanley, vol. 19(1), pages 8-15, January.
    18. Liow, Kim Hiang & Liao, Wen-Chi & Huang, Yuting, 2018. "Dynamics of international spillovers and interaction: Evidence from financial market stress and economic policy uncertainty," Economic Modelling, Elsevier, vol. 68(C), pages 96-116.
    19. Mensi, Walid & Rehman, Mobeen Ur & Vo, Xuan Vinh, 2022. "Impacts of COVID-19 outbreak, macroeconomic and financial stress factors on price spillovers among green bond," International Review of Financial Analysis, Elsevier, vol. 81(C).
    20. Ang, Andrew & Chen, Joseph, 2002. "Asymmetric correlations of equity portfolios," Journal of Financial Economics, Elsevier, vol. 63(3), pages 443-494, March.
    21. Chau, Frankie & Deesomsak, Rataporn, 2014. "Does linkage fuel the fire? The transmission of financial stress across the markets," International Review of Financial Analysis, Elsevier, vol. 36(C), pages 57-70.
    22. Apostolakis, George, 2016. "Spreading crisis: Evidence of financial stress spillovers in the Asian financial markets," International Review of Economics & Finance, Elsevier, vol. 43(C), pages 542-551.
    23. 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).
    24. Fernández-Rodríguez, Fernando & Gómez-Puig, Marta & Sosvilla-Rivero, Simón, 2015. "Volatility spillovers in EMU sovereign bond markets," International Review of Economics & Finance, Elsevier, vol. 39(C), pages 337-352.
    25. Alter, Adrian & Beyer, Andreas, 2014. "The dynamics of spillover effects during the European sovereign debt turmoil," Journal of Banking & Finance, Elsevier, vol. 42(C), pages 134-153.
    26. Mark Illing & Ying Liu, 2003. "An Index of Financial Stress for Canada," Staff Working Papers 03-14, Bank of Canada.
    27. Kremer, Manfred & Lo Duca, Marco & Holló, Dániel, 2012. "CISS - a composite indicator of systemic stress in the financial system," Working Paper Series 1426, European Central Bank.
    28. Apostolakis, George & Papadopoulos, Athanasios P., 2015. "Financial stress spillovers across the banking, securities and foreign exchange markets," Journal of Financial Stability, Elsevier, vol. 19(C), pages 1-21.
    29. Magkonis, Georgios & Tsopanakis, Andreas, 2020. "The Financial Connectedness Between Eurozone Core And Periphery: A Disaggregated View," Macroeconomic Dynamics, Cambridge University Press, vol. 24(7), pages 1674-1699, October.
    30. Hubrich, Kirstin & Tetlow, Robert J., 2015. "Financial stress and economic dynamics: The transmission of crises," Journal of Monetary Economics, Elsevier, vol. 70(C), pages 100-115.
    31. Tian, Hao & Long, Shaobo & Li, Zixuan, 2022. "Asymmetric effects of climate policy uncertainty, infectious diseases-related uncertainty, crude oil volatility, and geopolitical risks on green bond prices," Finance Research Letters, Elsevier, vol. 48(C).
    32. Tomohiro Ando & Matthew Greenwood-Nimmo & Yongcheol Shin, 2022. "Quantile Connectedness: Modeling Tail Behavior in the Topology of Financial Networks," Management Science, INFORMS, vol. 68(4), pages 2401-2431, April.
    33. Illing, Mark & Liu, Ying, 2006. "Measuring financial stress in a developed country: An application to Canada," Journal of Financial Stability, Elsevier, vol. 2(3), pages 243-265, October.
    34. 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).
    35. repec:ecb:ecbwps:20111426 is not listed on IDEAS
    36. Tang, Yumei & Chen, Xihui Haviour & Sarker, Provash Kumer & Baroudi, Sarra, 2023. "Asymmetric effects of geopolitical risks and uncertainties on green bond markets," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    37. James H. Stock & Mark W. Watson, 1989. "New Indexes of Coincident and Leading Economic Indicators," NBER Chapters, in: NBER Macroeconomics Annual 1989, Volume 4, pages 351-409, National Bureau of Economic Research, Inc.
    38. Ravi Balakrishnan & Stephan Danninger & Selim Elekdag & Irina Tytell, 2011. "The Transmission of Financial Stress from Advanced to Emerging Economies," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 47(0), pages 40-68, May.
    39. Antonakakis, Nikolaos & Chatziantoniou, Ioannis & Filis, George, 2013. "Dynamic co-movements of stock market returns, implied volatility and policy uncertainty," Economics Letters, Elsevier, vol. 120(1), pages 87-92.
    40. Sun, Xiaolei & Yao, Xiaoyang & Wang, Jun, 2017. "Dynamic interaction between economic policy uncertainty and financial stress: A multi-scale correlation framework," Finance Research Letters, Elsevier, vol. 21(C), pages 214-221.
    41. MacDonald, Ronald & Sogiakas, Vasilios & Tsopanakis, Andreas, 2018. "Volatility co-movements and spillover effects within the Eurozone economies: A multivariate GARCH approach using the financial stress index," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 52(C), pages 17-36.
    42. Zhao, Wan-Li & Fan, Ying & Ji, Qiang, 2022. "Extreme risk spillover between crude oil price and financial factors," Finance Research Letters, Elsevier, vol. 46(PA).
    43. Lee, Chi-Chuan & Tang, Huayun & Li, Ding, 2022. "The roles of oil shocks and geopolitical uncertainties on China’s green bond returns," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 494-505.
    44. Liow, Kim Hiang & Newell, Graeme, 2016. "Real estate global beta and spillovers: An international study," Economic Modelling, Elsevier, vol. 59(C), pages 297-313.
    45. MacDonald, Ronald & Sogiakas, Vasilios & Tsopanakis, Andreas, 2015. "An investigation of systemic stress and interdependencies within the Eurozone and Euro Area countries," Economic Modelling, Elsevier, vol. 48(C), pages 52-69.
    46. Cardarelli, Roberto & Elekdag, Selim & Lall, Subir, 2011. "Financial stress and economic contractions," Journal of Financial Stability, Elsevier, vol. 7(2), pages 78-97, June.
    47. Pham, Linh & Karim, Sitara & Naeem, Muhammad Abubakr & Long, Cheng, 2022. "A tale of two tails among carbon prices, green and non-green cryptocurrencies," International Review of Financial Analysis, Elsevier, vol. 82(C).
    48. Mensi, Walid & Aslan, Aylin & Vo, Xuan Vinh & Kang, Sang Hoon, 2023. "Time-frequency spillovers and connectedness between precious metals, oil futures and financial markets: Hedge and safe haven implications," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 219-232.
    49. Long, Shaobo & Tian, Hao & Li, Zixuan, 2022. "Dynamic spillovers between uncertainties and green bond markets in the US, Europe, and China: Evidence from the quantile VAR framework," International Review of Financial Analysis, Elsevier, vol. 84(C).
    50. Engle, Robert, 2002. "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 339-350, July.
    51. Dalu Zhang & Meilan Yan & Andreas Tsopanakis, 2018. "Financial stress relationships among Euro area countries: an R-vine copula approach," The European Journal of Finance, Taylor & Francis Journals, vol. 24(17), pages 1587-1608, November.
    52. Apostolakis, George & Papadopoulos, Athanasios P., 2014. "Financial stress spillovers in advanced economies," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 32(C), pages 128-149.
    53. Doğan, Buhari & Trabelsi, Nader & Tiwari, Aviral Kumar & Ghosh, Sudeshna, 2023. "Dynamic dependence and causality between crude oil, green bonds, commodities, geopolitical risks, and policy uncertainty," The Quarterly Review of Economics and Finance, Elsevier, vol. 89(C), pages 36-62.
    54. 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.
    Full references (including those not matched with items on IDEAS)

    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.
    1. Liow, Kim Hiang & Liao, Wen-Chi & Huang, Yuting, 2018. "Dynamics of international spillovers and interaction: Evidence from financial market stress and economic policy uncertainty," Economic Modelling, Elsevier, vol. 68(C), pages 96-116.
    2. Yao, Xiaoyang & Le, Wei & Sun, Xiaolei & Li, Jianping, 2020. "Financial stress dynamics in China: An interconnectedness perspective," International Review of Economics & Finance, Elsevier, vol. 68(C), pages 217-238.
    3. Xuan Lv & Menggang Li & Yingjie Zhang, 2022. "Financial Stability and Economic Activity in China: Based on Mixed-Frequency Spillover Method," Sustainability, MDPI, vol. 14(19), pages 1-22, October.
    4. Apostolakis, George N. & Floros, Christos & Gkillas, Konstantinos & Wohar, Mark, 2021. "Financial stress, economic policy uncertainty, and oil price uncertainty," Energy Economics, Elsevier, vol. 104(C).
    5. Apostolakis, Georgios N. & Giannellis, Nikolaos & Papadopoulos, Athanasios P., 2019. "Financial stress and asymmetric shocks transmission within the Eurozone. How fragile is the common monetary policy?," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    6. Tan, Sook-Rei & Li, Changtai & Yeap, Xiu Wei, 2022. "A time-varying copula approach for constructing a daily financial systemic stress index," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    7. Altınkeski, Buket Kırcı & Cevik, Emrah Ismail & Dibooglu, Sel & Kutan, Ali M., 2022. "Financial stress transmission between the U.S. and the Euro Area," Journal of Financial Stability, Elsevier, vol. 60(C).
    8. Haddou, Samira, 2022. "International financial stress spillovers to bank lending: Do internal characteristics matter?," International Review of Financial Analysis, Elsevier, vol. 83(C).
    9. Elsayed, Ahmed H. & Yarovaya, Larisa, 2019. "Financial stress dynamics in the MENA region: Evidence from the Arab Spring," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 62(C), pages 20-34.
    10. Long, Shaobo & Tian, Hao & Li, Zixuan, 2022. "Dynamic spillovers between uncertainties and green bond markets in the US, Europe, and China: Evidence from the quantile VAR framework," International Review of Financial Analysis, Elsevier, vol. 84(C).
    11. Zhang, Yulian & He, Xie & Nakajima, Tadahiro & Hamori, Shigeyuki, 2020. "Oil, Gas, or Financial Conditions-Which One Has a Stronger Link with Growth?," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    12. Cipollini, Andrea & Mikaliunaite, Ieva, 2020. "Macro-uncertainty and financial stress spillovers in the Eurozone," Economic Modelling, Elsevier, vol. 89(C), pages 546-558.
    13. Mensi, Walid & Selmi, Refk & Al-Kharusi, Sami & Belghouthi, Houssem Eddine & Kang, Sang Hoon, 2024. "Connectedness between green bonds, conventional bonds, oil, heating oil, natural gas, and petrol: new evidence during bear and bull market scenarios," Resources Policy, Elsevier, vol. 91(C).
    14. Gao, Yang & Zhou, Yueyi & Zhao, Longfeng, 2024. "Quantile interdependence and network connectedness between China's green financial and energy markets," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 1148-1177.
    15. Ahmed H. Elsayed & Gareth Downing & Chi Keung Marco Lau & Xin Sheng, 2024. "Exploring the role of oil shocks on the financial stability of Gulf Cooperation Council countries," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 1804-1819, April.
    16. MacDonald, Ronald & Sogiakas, Vasilios & Tsopanakis, Andreas, 2018. "Volatility co-movements and spillover effects within the Eurozone economies: A multivariate GARCH approach using the financial stress index," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 52(C), pages 17-36.
    17. Elsayed, Ahmed H. & Sohag, Kazi & Sousa, Ricardo M., 2024. "Oil shocks and financial stability in MENA countries," Resources Policy, Elsevier, vol. 89(C).
    18. Zhang, Hongwei & Wang, Peijin, 2021. "Does Bitcoin or gold react to financial stress alike? Evidence from the U.S. and China," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 629-648.
    19. Apostolakis, George & Papadopoulos, Athanasios P., 2015. "Financial stress spillovers across the banking, securities and foreign exchange markets," Journal of Financial Stability, Elsevier, vol. 19(C), pages 1-21.
    20. Yousaf, Imran & Pham, Linh & Goodell, John W., 2023. "Interconnectedness between healthcare tokens and healthcare stocks: Evidence from a quantile VAR approach," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 271-283.

    More about this item

    Keywords

    Financial stress; Dynamic spillover; Quantile connectedness;
    All these keywords.

    JEL classification:

    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • O16 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Financial Markets; Saving and Capital Investment; Corporate Finance and Governance

    Statistics

    Access and download statistics

    Corrections

    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:finana:v:90:y:2023:i:c:s1057521923004611. 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/620166 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.