If worst comes to worst: Co-movement of global stock markets in the US-China trade war

Authors

  • Toan Luu Duc Huynh WHU - Otto Beisheim School of Management, Burgplatz 2, D-56179 Vallendar, Germany. Email: toan.huynh@whu.edu.
  • Tobias Burggraf WHU - Otto Beisheim School of Management, Burgplatz 2, D-56179 Vallendar, Germany.

DOI:

https://doi.org/10.17811/ebl.9.1.2020.21-30

Abstract

This paper investigates the co-movement characteristics of global stock markets in the context of the US-China trade war. By applying a set of different trivariate Copulas, our results suggest that markets co-move symmetrically in the pre-trade war period, but exhibit negative downside movements and heavy tails during the trade war. Furthermore, we find evidence for left-tail dependency structures during that period. Most importantly, this study finds that the trade war poses a systematic risk on global markets, which potentially can trigger simultaneous market downside trends. Our results are robust across different European equity market indices.

Author Biography

Toan Luu Duc Huynh, WHU - Otto Beisheim School of Management, Burgplatz 2, D-56179 Vallendar, Germany. Email: toan.huynh@whu.edu.

Toan Luu Duc Huynh has published several papers on high-ranked journal (Journal of Enviornmental Management, IF 4.5 regarding financial development and environmental degradation), Journal of Risk and Financial Management, Review of Pacific Basin Financial Markets and Policies.

References

Aloui, C. (2011). Latin american stock markets' volatility spillovers during the nancial crises:

a multivariate aparch-dcc framework. Macroeconomics and Finance in Emerging Market

Economies, 4(2):289{326.

Arouri, M., M'saddek, O., Nguyen, D. K., and Pukthuanthong, K. (2019). Cojumps and asset

allocation in international equity markets. Journal of Economic Dynamics and Control, 98:1{22.

Baumohl, E. and Shahzad, S. J. H. (2019). Quantile coherency networks of international stock

markets. Finance Research Letters, 31:119{129.

Boako, G., Tiwari, A. K., Ibrahim, M., and Ji, Q. (2018). Analysing dynamic dependence between

gold and stock returns: Evidence using stochastic and full-range tail dependence copula models.

Finance Research Letters.

Choi, N., Fedenia, M., Skiba, H., and Sokolyk, T. (2017). Portfolio concentration and performance

of institutional investors worldwide. Journal of Financial Economics, 123(1):189{208.

Dimitrios Asteriou, A. S. (2016). Political instability and stock market returns: Evidence from

oecd countries evidence from oecd countries. Economics and Business Letters, 5(4):113{124.

Jin, X. (2016). The impact of 2008 nancial crisis on the eciency and contagion of asian stock

markets: A hurst exponent approach. Finance Research Letters, 17:167{175.

Malliaris, A. G. and Urrutia, J. L. (1992). The international crash of october 1987: causality tests.

Journal of Financial and Quantitative Analysis, 27(3):353{364.

Pentec^ote, J.-S., Poutineau, J.-C., and Rondeau, F. (2015). Trade integration and business cycle

synchronization in the emu: the negative eect of new trade

ows. Open Economies Review,

(1):61{79.

Rivieccio, G. and De Luca, G. (2016). Copula function approaches for the analysis of serial and

cross dependence in stock returns. Finance Research Letters, 17:55{61.

Rodriguez, J. C. (2007). Measuring nancial contagion: A copula approach. Journal of empirical

nance, 14(3):401{423.

Sakemoto, R. (2018). The intertemporal relation between expected returns and conditional correlations

between precious metals and the stock market. Economics and Business Letters, 7(1).

Yarovaya, L. and Lau, M. C. K. (2016). Stock market comovements around the global nancial

crisis: Evidence from the uk, brics and mist markets. Research in International Business and

Finance, 37:605{619.

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Published

29-01-2020

How to Cite

Huynh, T. L. D., & Burggraf, T. (2020). If worst comes to worst: Co-movement of global stock markets in the US-China trade war. Economics and Business Letters, 9(1), 21–30. https://doi.org/10.17811/ebl.9.1.2020.21-30

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