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Author: Wei Chi Publisher: ISBN: Category : Languages : en Pages : 23
Book Description
Despite the increasingly tight economic relationship between China and Australia, little attention has been paid to the analysis of stock market volatility spillover across these two countries. This paper, based on industry data, fills the gap in the literature and provides a clear idea of the channels through which volatility is transmitted across countries. This paper finds that the volatility spillover across these two markets is bidirectional while there is single or insignificant spillover across industries between these two countries. More specifically, the results of the Granger causality test show that the stock market volatility spillover is bidirectional between these two markets in the financial, health care, industrials, information technology, and materials industries. One-way volatility spillover exists in the consumer staples industry and there is insignificant volatility spillover in the energy, telecommunications, and utilities industries between the Chinese and Australian stock markets.
Author: Wei Chi Publisher: ISBN: Category : Languages : en Pages : 23
Book Description
Despite the increasingly tight economic relationship between China and Australia, little attention has been paid to the analysis of stock market volatility spillover across these two countries. This paper, based on industry data, fills the gap in the literature and provides a clear idea of the channels through which volatility is transmitted across countries. This paper finds that the volatility spillover across these two markets is bidirectional while there is single or insignificant spillover across industries between these two countries. More specifically, the results of the Granger causality test show that the stock market volatility spillover is bidirectional between these two markets in the financial, health care, industrials, information technology, and materials industries. One-way volatility spillover exists in the consumer staples industry and there is insignificant volatility spillover in the energy, telecommunications, and utilities industries between the Chinese and Australian stock markets.
Author: Emawtee Bissoondoyal-Bheenick Publisher: ISBN: Category : Languages : en Pages : 36
Book Description
We assess the stock market volatility spillover between three closely related countries, United States, China and Australia. This study considers industry data and hence provides a clear idea of the channels through which volatility is transmitted across these countries. We find that there is significant bilateral causality between the countries at the market index level and across most of the industries for the full sample period from July 2007 to May 2016. There is one way volatility spillover from US to China in the financial services, industrials, consumer discretionary and utilities industry. There is insignificant volatility spillover from the Australian to Chinese stock markets in financial services, telecommunications and energy industries. Once we remove the effect of the GFC, we find significant bilateral relationship across all of the industries across the three countries.
Author: Wei Chi Publisher: ISBN: Category : Languages : en Pages : 392
Book Description
This thesis analyses three sets of issues: 1) the cyclical behaviour of the Chinese stock markets, 2) the fitness of using realized volatility (RV) in the generalized autoregressive conditional heteroskedasticity (GARCH) model, and 3) the volatility spillover between the Chinese and Australian stock markets. After conducting an extensive literature review, the thesis examines the three sets of issues separately.First, a Markov regime switching model is applied to analyse the bull and bear cycles in the Chinese stock market, since the cycles of bull and bear markets can reflect economic development and investor confidence. Specifically, grouping stocks by industry and firm size, the results show the following: 1) Bear cycles between stocks and the index overlap heavily, indicating strong herding effects. A long bear market cycle is found and can be explained by widely diversified stock performance across the markets. 2) Certain shocks to one industry could have different impacts on the Shanghai and Shenzhen stock markets. 3) Firm size can have a significant impact on the performance of stocks in bull or bear cycles.The second topic focuses on estimating the RV of the Chinese stock markets and comparing it with the GARCH model. The actual volatility is inherently unobserved, while the RV could be treated as being directly observable and then be used to study time-varying behaviour and forecasting. Thus, a large number of studies use RV in GARCH models for volatility analysis. However, there is yet no study that discusses the correlation between RV and GARCH while using RV in GARCH models. This could lead to bias in estimation because of the different properties of RV and GARCH. The results show that GARCH models combined with RV could be more suitable for estimating volatility for large firms. When the firms are grouped in terms of positive/negative returns, similar results are found as when firms are grouped by firm size.The third topic estimates the volatility spillover between the Chinese and Australian stock markets, motivated by the lack of attention to spillover between these two markets in the literature. While economic interdependence between Australia and China has soared during the last two decades due to China's tight reliance on Australia's mining and resources, little research attention has been paid to these two countries. This study fills the literature gap and assesses the volatility spillover between the Chinese and Australian stock markets based on the CSI300 and ASX200 industry indices. To the best of my knowledge, this is the first study using Chinese industry data to discuss volatility spillover. The key findings of the thesis are that volatility spillover across these two markets is bidirectional, while there is one-sided or insignificant spillover across industries between these two countries. The findings of the thesis fill the literature gap, help clarify the debate about volatility spillover between the Chinese stock market and the world market, and provide a clearer idea of the channels through which volatility is transmitted across countries.
Author: Gyu-Hyun Moon Publisher: ISBN: Category : Languages : en Pages : 36
Book Description
The paper examines the short-run spillover effects of daily stock returns and volatilities between the Samp;P 500 in the U.S. and Shanghai SSE composite in China. First, we find that a structural break occurred in the SSE stock return mean in December 2005. Second, by analyzing modified GARCH (1,1)-M models, we find evidence of a symmetric and asymmetric volatility spillover effect from the U.S. to the China stock market in the post-break period. Third, we observe the symmetric volatility spillover effect from China to the U.S. in the post-break period.
Author: Anders C. Johansson Publisher: ISBN: Category : Languages : en Pages :
Book Description
This paper explores the linkages among the different stock markets in the Greater China region (China, Hong Kong, and Taiwan). The empirical findings show no indications of long-run relationships among the markets. There are, however, short-run spillover effects in both returns and volatility in the region. Both China and Hong Kong are affected by mean spillover effects from Taiwan. Volatility in the Hong Kong market spills over into Taiwan, which in turn affects the volatility in the Mainland China market. This means that the Mainland China market is related to other markets, even though the possibilities for outside investments have been limited until recently. Overall, the study shows significant interdependencies among the three markets, a result that has important implications for both policymakers and investors in the region.
Author: Kee Teng Publisher: ISBN: Category : Languages : en Pages : 16
Book Description
This study attempts to investigate the evolution of dynamic linkages and volatility spillover between the five countries of the Association of Southeast Asian Nations (ASEAN-5) stock markets and China's economic activities. By using the movements and structural breaks of the time-varying correlation and Granger causality test, a suitable destination for equity portfolio diversification can be determined among the studied markets. This study covers monthly data from January 1991 to March 2015. The DCC-MGARCH model shows that the studied countries are time-varying correlated, while the structural break observed by Bai and Perron test coincided with major economic shocks, policy changes and the establishment of regional trade policies. The VAR model Granger causality test observed no volatility spillover from Chinese economic activities to the ASEAN-5 stock markets, except for Malaysia and the Philippines. However, the ASEAN-5 stock markets' volatility exerts a significant influence on China's economy, except for Singapore's stock market volatility. This study reveals that ASEAN-5 has gradually became the preferred destination for diversifying equity portfolios for investors in China.
Author: Ping Wang Publisher: ISBN: Category : Languages : en Pages : 19
Book Description
In this paper, we have examined stock market linkages between Greater China and the US and Japan in terms of volatility and price spillovers, yielding a few findings, with most of them either offering new evidence or challenging the results in the previous research, and the rest consolidating previous stylish conclusions. It has been established that volatility spillovers are stronger than price spillovers between the Greater China markets and the developed markets of the US and Japan. The conjecture that developed markets dominate emerging markets in stock market interactions is questioned - such asymmetric dominance of developed markets over developing markets does not show up in the present study where the developing market of China is of a comparable size in relation to the developed markets of Japan and the US. Moreover, the extent of influence by the developed market on the developing market is found to be associated with the degree of market openness of the developing economy.
Author: Wei Chi
Author: Wei Chi
Author: Emawtee Bissoondoyal-Bheenick
Author: Wei Chi
Author: Gyu-Hyun Moon
Author: Bin Hu
Author: David E. Allen
Author: Yi Zheng
Author: Anders C. Johansson
Author: Kee Teng
Author: Ping Wang