scholarly journals Volatility Spillover Effect from the Shanghai Stock Market to the Korean Stock Market

2013 ◽  
Vol 20 (2) ◽  
pp. 221-253
Author(s):  
정대진 ◽  
류두진
2020 ◽  
Vol 31 (8) ◽  
pp. 1416-1447 ◽  
Author(s):  
Xie He ◽  
Tetsuya Takiguchi ◽  
Tadahiro Nakajima ◽  
Shigeyuki Hamori

This study investigates the time–frequency dynamics of return and volatility spillovers between the stock market and three commodity markets: natural gas, crude oil, and gold via a comparative analysis between the United States and China is conducted with the help of new empirical methods. Our findings are as follows. First, in terms of time, return spillovers between crude oil and the stock market are strongest in two of the three commodity markets. Crude oil emits a net negative return spillover to the US stock market, and a net positive return spillover to the Chinese stock market. By contrast, the strongest volatility spillover effect is transmitted to the stock markets of both countries through gold. However, gold has a net positive volatility spillover effect on the US stock market and a net negative effect on the Chinese stock market. In the frequency domain, most of the return spillover is produced in the short term, and most of the volatility spillover occurs in the long term. In addition, the moving-window method reveals the dynamic nature of the spillover effect. Some extreme events can have a dramatic effect on the spillover index. Conversely, the spillover effect differs significantly between the two countries and is characterized by time variation and frequency dependence.


2019 ◽  
Vol 10 (4) ◽  
pp. 84
Author(s):  
Maoguo Wu ◽  
Zhehao Zhu

This study aims to analyze the volatility spillover effect between the international crude oil futures market and China’s stock market. Using West Texas Intermediate (WTI) and the Shanghai Composite Index (SSEC) to represent the international crude oil futures market and China’s stock market respectively, this study selects data of WTI and the SSEC from August 10, 2007 to August 10, 2017. It processes these data via wavelet multiresolution to decompose them into different levels and then builds the data model based on the BEKK-GARCH model. By testing the parameters through the Wald test, it further explores whether the volatility spillover effect exists between WTI and the SSEC. Empirical evidence finds that the volatility spillover effect between WTI and the SSEC is significant in the short run, while, however, such a volatility spillover effect does not exist in the medium and long term.


2021 ◽  
pp. 1-11
Author(s):  
Ping Zhang ◽  
Shiwei Nan Wang

In order to analyze the volatility spillover effect between foreign exchange and stock market, this paper adopts the wavelet multi-resolution analysis method of computer simulation. Firstly, aiming at the problem of high and low frequency oscillation and exchange rate de-noising, we adopts the generalized autoregressive conditional heteroskedasticity (GARCH) model to carry out the oscillation correction and exponential modification of the exchange rate denoising signal based on wavelet multi-resolution, and carries out the corresponding decomposition and fitting combined with the wavelet multi-resolution of the state transition GARCH. Then, through the computer simulation of the modified wavelet multi-resolution analysis, this paper studies the volatility spillover effect between the foreign exchange market and the stock market from different scales, so as to explore the simultaneous research from the time domain and frequency domain. The empirical results show that the low-frequency signals of RMB exchange rate volatility (RMB-ERV) and stock price volatility (SPV) have co-integration relationship. It is unique in that the volatility spillover effect in different trading cycles is inconsistent: in the short term, it is mainly manifested in the volatility spillover from the stock market (VS-SM) to the foreign exchange market (VS-FEM); and with the extension of the trading cycle, it shows both sides of effects on the VS.


2020 ◽  
Vol 66 (No. 2) ◽  
pp. 84-91
Author(s):  
Marwa Ben Abdallah ◽  
Maria Fekete Farkas ◽  
Zoltan Lakner

Unforeseen important changes in price can present a significant risk in the market. The price fluctuation of agricultural commodities has raised concern for studying the volatility of different agricultural products. A persistent volatility in prices causes continued uncertainty in the market. Higher price volatility is to be mitigated by higher management costs and the higher cost of risk mitigation is often converted into higher producer prices. The aim of this paper is to investigate the price volatility of producer and consumer meat prices and to capture the volatility spillover along the Finnish meat supply chain. The Generalised Autoregressive Conditional Heteroskedasticity – Baba, Engle, Kraft and Kroner (GARCH-BEKK) model is applied to analyse shocks and volatilities of the prices and to estimate whether the price volatility is flowing from the first price level (producer) to the second price level (consumer), using monthly price indices. An asymmetric volatility spillover effect was detected in the poultry meat and a unidirectional, volatility spillover effect, from consumer to producer, is observed for pork prices. The findings of this study could serve as a tool for forecasting meat producer and consumer prices, which could assist the Finnish government with endorsing policy options to alleviate the price volatility impact, to protect both consumers and producers from its negative effects.


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