Multifractal analysis of the impact of US–China trade friction on US and China soy futures markets

2020 ◽  
Vol 542 ◽  
pp. 123222 ◽  
Author(s):  
Qiangbiao Ji ◽  
Xin Zhang ◽  
Yingming Zhu
Keyword(s):  
Multifractal Analysis ◽  
Futures Markets ◽  
Trade Friction ◽  
China Trade ◽  
The Impact

Implications of  the U.S.–China Trade War  for  Taiwan

2020 ◽  
Vol 19 (1) ◽  
pp. 61-81
Author(s):  
Wen-jen Hsieh
Keyword(s):  
Negative Impact ◽  
The United States ◽  
Policy Implications ◽  
High Tech ◽  
Chinese Market ◽  
Economic Relationships ◽  
China Trade ◽  
Trade War ◽  
The Impact ◽  
The U.S

The ongoing U.S.-China trade war and ensuing high-tech conflicts are regarded as Taiwan's most crucial opportunity to slow down its progressively increasing economic dependence on China. The impact of the U.S.–China trade tensions on Taiwan are important to analyze because of Taiwan's relatively unique political and economic relationships with the United States and China, especially since the latter views Taiwan as its “breakaway province.” The regression results indicate that Taiwan's outward investment to China is significantly affected by Taiwan's lagged investment and exports to China, and the gap in the economic growth rates between Taiwan and China. Policy implications are provided for Taiwan to alleviate its economic dependency on the Chinese market and the negative impact from the U.S.-China trade war.

The Impact of Structural Breaks on Volatility Linkages between Asian Stock and Oil Futures Markets

2016 ◽  
Vol 24 (1) ◽  
pp. 31-64
Author(s):  
Sang Hoon Kang ◽  
Seong-Min Yoon
Keyword(s):  
Futures Markets ◽  
Structural Breaks ◽  
Global Financial Crisis ◽  
Garch Model ◽  
Time Varying ◽  
Oil Futures ◽  
Volatility Spillovers ◽  
Icss Algorithm ◽  
The Global Financial Crisis ◽  
The Impact

This paper investigates the impact of structural breaks on volatility spillovers between Asian stock markets (China, Hong Kong, India, Indonesia, Japan, Korea, Singapore, and Taiwan) and the oil futures market. To this end, we apply the bivariate DCC-GARCH model to weekly spot indices during the period 1998-2015. The results reveal significant volatility transmission for the pairs between the Asian stock and oil futures markets. Moreover, we find a significant variability in the time-varying conditional correlations between the considered markets during both bullish and bearish markets, particularly from early 2007 to the summer of 2008. Using the modified ICSS algorithm, we find several sudden changes in these markets with a common break date centred on September 15, 2008. This date corresponds to the collapse of Lehman Brothers which is considered as our breakpoint to define the global financial crisis. Also, we analyse the optimal portfolio weights and time-varying hedge ratios based on the estimates of the multivariate DCC-GARCH model. The results emphasize the importance of overweighting optimal portfolios between Asian stock and the oil futures markets.

Investment will drive solid Taiwanese growth in 2020

2020 ◽  
Keyword(s):  
Social Services ◽  
Trade Diversion ◽  
The United States ◽  
Ageing Population ◽  
Content Type ◽  
China Trade ◽  
Growth Prospects ◽  
Economic Partnership ◽  
Regional Comprehensive Economic Partnership ◽  
The Impact

Subject Taiwan growth prospects. Significance Taiwan’s GDP grew by 3.38% year-on-year in October-December 2019. This is an acceleration from 2.6% year-on-year growth in the second quarter to 3.0% in the third. Consumer spending has grown steadily, while investment reshoring and exports to the United States have grown even more strongly due to trade diversion designed to mitigate the impact of US-China trade tensions. Impacts Taiwan is not currently part of the Asia Regional Comprehensive Economic Partnership and its exclusion may limit its trade opportunities. If Taiwan learns from Japan’s experience of adjusting to an ageing population, automated social services could emerge as leading sectors. The president has a renewed mandate to introduce reforms aimed at raising wages and creating jobs, especially in high-skill industries.

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