全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

Co-Movement and Interaction Effects across the Monetary, Foreign Exchange and Stock Markets: Evidence from China

DOI: 10.4236/jfrm.2017.63018, PP. 247-255

Keywords: Co-Movement, Interaction, Financial Markets, Spillover Effect, Dynamic Correlation

Full-Text   Cite this paper   Add to My Lib

Abstract:

This paper investigates the issue of co-movement and interaction among the monetary, foreign exchange and stock markets by employing the data from China’s financial markets. Based on the ICA-EGARCH-M model, we explore the volatility spillover effects so as to illustrate the overall co-movements across financial markets. Furthermore, in order to observe the multi-market dynamic relationship variation process, we calculate the dynamic correlation coefficients with the AG-DCC-MGARCH model. Our findings provide both static and dynamic evidence on the co-movement and interaction effects of financial markets which may lead to the systemic financial risk.

References

[1]  Allen, D. E., Amram, R., & McAleer, M. (2013). Volatility Spillovers from the Chinese Stock Market to Economic Neighbours. Mathematics and Computers in Simulation, 94, 238-257.
[2]  Aslanidis, N., Osborn, D. R., & Sensier, M. (2009). Co-Movements between US and UK Stock Prices: The Role of Time-Varying Conditional Correlations. International Journal of Finance & Economics, 15, 366-380.
https://doi.org/10.1002/ijfe.402
[3]  Cappiello, L., Engle, R. F., & Sheppard, K. K. (2006). Asymmetric Dynamics in the Correlations of Global Equity and Bond Returns. Journal of Financial Econometrics, 4, 537-572.
https://doi.org/10.1093/jjfinec/nbl005
[4]  Chkili, W., & Nguyen, D. K. (2014). Exchange Rate Movements and Stock Market Returns in a Regime-Switching Environment: Evidence for BRICS Countries. Research in International Business and Finance, 31, 46-56.
[5]  Cipollini, A., Cascio, I. L., & Muzzioli, S. (2015). Volatility Co-Movements: A Time-Scale Decomposition Analysis. Journal of Empirical Finance, 34, 34-44.
[6]  Dean, W. G., Faff, R. W., & Loudon, G. F. (2010). Asymmetry in Return and Volatility Spillover between Equity and Bond Markets in Australia. Pacific-Basin Finance Journal, 18, 272-289.
[7]  De Bandt, O., & Hartmann, P. (2000). Systemic Risk A Survey. European Central Bank Working Paper Series, No.35. Frankfurt: European Central Bank.
[8]  Hyvarinen, A. (1999). Fast and Robust Fixed-Point Algorithms for Independent Component Analysis. IEEE Transactions on Neural Networks, 10, 626-634.
https://doi.org/10.1109/72.761722
[9]  Martínez-Jaramillo, S., Pérez, O. P., Embriz, F. A., & Dey, F. L. G. (2010). Systemic Risk, Financial Contagion and Financial Fragility. Journal of Economic Dynamics and Control, 34, 2358-2374.
[10]  Patro, D. K., Qi, M., & Sun, X. (2013). A Simple Indicator of Systemic Risk. Journal of Financial Stability, 9, 105-116.
[11]  Teterin, P., Brooks, R., & Enders, W. (2016). Smooth Volatility Shifts and Spillovers in U.S. Crude Oil and Corn Futures Markets. Journal of Empirical Finance, 38, 22-36.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133