On Spillover Effect of RMB Exchange Rate Volatility

2008 ◽  
Author(s):  
Jiaping Zhang ◽  
Min Fan ◽  
Xiaojian Yu
Keyword(s):  
Exchange Rate ◽  
Spillover Effect ◽  
Exchange Rate Volatility ◽  
Rmb Exchange Rate

scholarly journals Research on Information Spillover Effect of the RMB Exchange Rate and Stock Market Based on R-Vine Copula

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Xiaofei Wu ◽  
Shuzhen Zhu ◽  
Suxue Wang
Keyword(s):  
Exchange Rate ◽  
Stock Market ◽  
Spillover Effect ◽  
Dependence Structure ◽  
Chinese Stock Market ◽  
Single Currency ◽  
Rmb Exchange Rate ◽  
The Exchange Rate ◽  
Information Spillover ◽  
Vine Copula

This paper studies the dependence structure and information spillover effect between the RMB exchange rate and the Chinese stock market based on the R-vine copula model and spillover index model. The results show that due to the occurrence of the trade war, the correlation between the three RMB exchange rate indicators and the two stock market indicators increases in varying degrees. In the intensity of spillover, the information spillover of the stock market to the RMB exchange rate is significantly enhanced, and the information spillover intensity of the RMB Index to the stock market increases, but the information spillover of the US dollar and Hong Kong dollar exchange rates to the stock market is significantly weakened. In the direction of spillover, the spillover of the RMB Index and stock market shows the characteristics of alternating transformation, while the exchange rate of a single currency and the stock market shows a one-way transmission from the stock market to the exchange rate. Additionally, the information spillover between the RMB exchange rate and the stock market is closely related to the degree of market openness. The RMB Index contains more information than the exchange rate of a single currency.

scholarly journals Research on RMB Exchange Rate Volatility Risk Based on MSGARCH-VaR Model

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Xiaofei Wu ◽  
Shuzhen Zhu ◽  
Junjie Zhou
Keyword(s):  
Exchange Rate ◽  
Value At Risk ◽  
Financial Risk ◽  
Deviance Information Criterion ◽  
Exchange Rate Volatility ◽  
Information Criterion ◽  
Model Parameters ◽  
Volatility Risk ◽  
Rmb Exchange Rate ◽  
Trade Friction

This paper captures the RMB exchange rate volatility using the Markov-switching GARCH (MSGARCH) models and traditional single-regime GARCH models. Through the Markov Chain Monte Carlo (MCMC) method, the model parameters are estimated to study the volatility dynamics of the RMB exchange rate. Furthermore, we compare the MSGARCH models to the single-regime GARCH specifications in terms of Value-at-Risk (VaR) prediction accuracy. According to the Deviance information criterion method, the research shows that MSGARCH models outperform the single-regime specifications in capturing the complexity of RMB exchange rate volatility. After the RMB exchange rate reform in 2015, the volatility is more asymmetric and persistent, and the probability of being in the turbulent volatility regime is significantly increased. The continuous escalation of Sino-US trade friction has increased the VaR of RMB exchange rate log-returns. From the evaluation results of the actual over expected exceedance ratio (AE), the conditional coverage (CC) test, and the dynamic quantile (DQ) test, we find strong evidence that two-regime MSGARCH models could forecast VaR more accurately, which provides practical value for China’s foreign exchange management authorities to manage the financial risk.

scholarly journals Determination of China’s foreign exchange intervention: evidence from the Yuan/Dollar market

2017 ◽  
Vol 34 (1) ◽  
pp. 62-81 ◽  
Author(s):  
He Li ◽  
Zhixiang Yu ◽  
Chuanjie Zhang ◽  
Zhuang Zhang
Keyword(s):  
Exchange Rate ◽  
Central Bank ◽  
Foreign Exchange ◽  
Foreign Exchange Market ◽  
Exchange Rate Regime ◽  
Exchange Rate Volatility ◽  
Rmb Exchange Rate ◽  
Content Type ◽  
Foreign Exchange Intervention ◽  
Basic Model

Purpose The paper aims to investigate the determinants of China’s daily intervention in the foreign exchange market since the 2005 reform aimed at moving the Renminbi (RMB) exchange rate regime towards greater flexibility. Design/methodology/approach The paper uses bivariate probit models to test whether China’s intervention decision is driven by three sets of factors, comprising Model I (basic model), Model II and Model III. Findings Evidence from the models suggests that medium-term Chinese interventions tend to be leaning-against-the-wind, whereas long-term interventions are leaning-with-the-wind. Furthermore, by analyzing exchange rate volatility, this paper finds that intervention is used by the Chinese central bank to ensure that there are no big swings in the RMB exchange rate. Originality/value The paper will be of value to other researchers attempting to understand the policy of the central bank and, in particular, the factors that can lead to interventions during periods of financial crisis.

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