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Journal

2023 | 1 | 1 | 30-34

Article title

Extreme risk spillovers between China and major international stock markets

Content

Title variants

Languages of publication

Abstracts

EN
We examine the complex dependence structure and risk spillovers between the Chinese stock market and twelve major international markets. To this end, we employ three types of vine copulas and tests for the Granger causality in risk of Hong et al. (2009). The results indicate that the R-vine copula is the optimal model to characterize the high-dimensional dependence structure of the markets after China joined the WTO, which suggests obvious structural differences with varying degrees of mainly positive dependences. Moreover, we identify unilateral extreme risk spillovers from China to the United States, France, and Germany, and either from Japan to China. We also detect bilateral spillovers between China and the United States, Japan, as well as Australia.

Journal

Year

Volume

1

Issue

1

Pages

30-34

Physical description

Dates

published
2023

Contributors

author
  • Hanhai Information Technology
  • Zhejiang University
author
  • Zhejiang University of Finance and Economics

References

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  • Carrieri, F., Errunza, V., & Hogan, K. (2007). Characterizing world market integration through time. Journal of Financial and Quantitative Analysis, 42(4), 915-940. https://doi.org/10.1017/S0022109000003446
  • Engle, R. (2002). Dynamic conditional correlation: A simple class of multivariate generalized autoregressive conditional heteroskedasticity models. Journal of Business & Economic Statistics, 20(3), 339-350. https://doi.org/10.1198/073500102288618487
  • Johnson, R., & Soenen, L. (2002). Asian economic integration and stock market comovement. Journal of Financial Research, 25(1), 141-157. https://doi.org/10.1111/1475-6803.00009
  • Paramati, S. R., Roca, E., & Gupta, R. (2016). Economic integration and stock market dynamic linkages: Evidence in the context of Australia and Asia. Applied Economics, 48(44), 4210-4226. https://doi.org/10.1080/00036846.2016.1153794
  • Patton, A. J. (2006). Estimation of multivariate models for time series of possibly different lengths. Journal of Applied Econometrics, 21(2), 147-173. https://doi.org/10.1002/jae.865
  • Pretorius, E. (2002). Economic determinants of emerging stock market interdependence. Emerging Markets Review, 3(1), 84-105. https://doi.org/10.1016/S1566-0141(01)00032-2
  • Quinn, D. P., & Voth, H. (2008). A century of global equity market correlations. American Economic Review, 98(2), 535-540. https://doi.org/10.1257/aer.98.2.535
  • Tavares, J. (2009). Economic integration and the comovement of stock returns. Economics Letters, 103(2), 65-67. https://doi.org/10.1016/j.econlet.2009.01.016
  • Vithessonthi, C., & Kumarasinghe, S. (2016). Financial development, international trade integration, and stock market integration: Evidence from Asia. Journal of Multinational Financial Management, 35, 79-92. https://doi.org/10.1016/j.mulfin.2016.03.001
  • Wongswan, J. (2006). Transmission of information across international equity markets. Review of Financial Studies, 19(4), 1157-1189. https://doi.org/10.1093/rfs/hhj033

Document Type

Publication order reference

Identifiers

Biblioteka Nauki
23942713

YADDA identifier

bwmeta1.element.ojs-doi-10_61351_mf_v1i1_6
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