Using VAR-DCC-GARCH model,the literature on commodity price was extended by exploring the co-movement between Chinese nonferrous metal prices and global nonferrous metal prices represented by the nonferrous metal pric...Using VAR-DCC-GARCH model,the literature on commodity price was extended by exploring the co-movement between Chinese nonferrous metal prices and global nonferrous metal prices represented by the nonferrous metal prices from London Metal Exchange(LME).The results show that LME nonferrous metals prices still have a greater impact on Chinese nonferrous metals prices.However,the impact of Chinese nonferrous metals prices on LME nonferrous metals prices is still weak except for lead price.The co-movement of nonferrous metal prices between LME and China presents hysteretic nature,and it lasts for 7-8trading days.Furthermore,the co-movement between LME nonferrous metals prices and Chinese nonferrous metals prices has the characteristics of time-varying,and the correlation of lead prices between LME and China is the more stable than all other nonferrous metals prices.展开更多
Taking Malus pumila Mill, Cv. ‘Jinguan' as test matedal, the storage quality of the apples under the different storage conditions of plastic membrane atmosphere storage (MAP), fruit wax coating, chitosan treatment...Taking Malus pumila Mill, Cv. ‘Jinguan' as test matedal, the storage quality of the apples under the different storage conditions of plastic membrane atmosphere storage (MAP), fruit wax coating, chitosan treatment with different calcium fertilizers were studied. The results showed that different storage modes inhibited the fruit rotting and weight loss, delayed the decrease of fruit hardness and titratable acid content, reduced the soluble solid content, inhibited the degradation of vitamin C. The suitable treatment had good effect on preservation of apple fruits, in which 1% chitosan treatment had the best effect.展开更多
By using GARCH(1,1)-M and EGARCH(1,1)-M models, the relationships among funds speculation transaction, arbitrage transaction and the fluctuation of international copper future price were studied. The news impact c...By using GARCH(1,1)-M and EGARCH(1,1)-M models, the relationships among funds speculation transaction, arbitrage transaction and the fluctuation of international copper future price were studied. The news impact curve of copper future price fluctuation respectively introduced funds speculation position and arbitrage position was given, and the result is consistent with the empirical study conclusion. The results show that investment funds are not the factor that causes copper future price fluctuation, but can reduce the copper future price fluctuation; the copper future price fluctuation is more sensitive to negative information, and ftmd speculative positions can reduce asymmetric effect of copper price fluctuation, while fimds arbitrage position influences less.展开更多
The aim of the present work is to examine whether the price volatility of nonferrous metal futures can be used to predict the aggregate stock market returns in China. During a sample period from January of 2004 to Dec...The aim of the present work is to examine whether the price volatility of nonferrous metal futures can be used to predict the aggregate stock market returns in China. During a sample period from January of 2004 to December of 2011, empirical results show that the price volatility of basic nonferrous metals is a good predictor of value-weighted stock portfolio at various horizons in both in-sample and out-of-sample regressions. The predictive power of metal copper volatility is greater than that of aluminum. The results are robust to alternative measurements of variables and econometric approaches. After controlling several well-known macro pricing variables, the predictive power of copper volatility declines but remains statistically significant. Since the predictability exists only during our sample period, we conjecture that the stock market predictability by metal price volatility is partly driven by commodity financialization.展开更多
基金Project(71073177)supported by the National Natural Science Foundation of ChinaProject(12JJ4077)supported by the Natural Science Foundation of Hunan Province of ChinaProject(2012zzts002)supported by the Fundamental Research Funds of Central South University,China
文摘Using VAR-DCC-GARCH model,the literature on commodity price was extended by exploring the co-movement between Chinese nonferrous metal prices and global nonferrous metal prices represented by the nonferrous metal prices from London Metal Exchange(LME).The results show that LME nonferrous metals prices still have a greater impact on Chinese nonferrous metals prices.However,the impact of Chinese nonferrous metals prices on LME nonferrous metals prices is still weak except for lead price.The co-movement of nonferrous metal prices between LME and China presents hysteretic nature,and it lasts for 7-8trading days.Furthermore,the co-movement between LME nonferrous metals prices and Chinese nonferrous metals prices has the characteristics of time-varying,and the correlation of lead prices between LME and China is the more stable than all other nonferrous metals prices.
基金Supported by Youth Foundation of Ningxia Academy of Agriculture and Forestry Sciences(NKYQ-14-02)New Technology Introduction and Promotion Project of Ningxia Financial Forestry([2014]11)Special Fund of Apple System of Modern Agriculture Industry Technology System(CARS-28)~~
文摘Taking Malus pumila Mill, Cv. ‘Jinguan' as test matedal, the storage quality of the apples under the different storage conditions of plastic membrane atmosphere storage (MAP), fruit wax coating, chitosan treatment with different calcium fertilizers were studied. The results showed that different storage modes inhibited the fruit rotting and weight loss, delayed the decrease of fruit hardness and titratable acid content, reduced the soluble solid content, inhibited the degradation of vitamin C. The suitable treatment had good effect on preservation of apple fruits, in which 1% chitosan treatment had the best effect.
基金Project(20090162120086) supported by Research Fund for the Doctoral Program of Higher Education of ChinaProject(10YJCZH123) supported by Humanity and Social Science Foundation of Ministry of Education of China+2 种基金Project(12JJ4077) supported by the National Natural Science Foundation of Hunan Province of ChinaProject(2009ZK3053) supported by Soft Science Research Project of Hunan Province of ChinaProject supported by the Freedom Explore Program of Central South University,China
文摘By using GARCH(1,1)-M and EGARCH(1,1)-M models, the relationships among funds speculation transaction, arbitrage transaction and the fluctuation of international copper future price were studied. The news impact curve of copper future price fluctuation respectively introduced funds speculation position and arbitrage position was given, and the result is consistent with the empirical study conclusion. The results show that investment funds are not the factor that causes copper future price fluctuation, but can reduce the copper future price fluctuation; the copper future price fluctuation is more sensitive to negative information, and ftmd speculative positions can reduce asymmetric effect of copper price fluctuation, while fimds arbitrage position influences less.
基金Project(71071166)supported by the National Natural Science Foundation of China
文摘The aim of the present work is to examine whether the price volatility of nonferrous metal futures can be used to predict the aggregate stock market returns in China. During a sample period from January of 2004 to December of 2011, empirical results show that the price volatility of basic nonferrous metals is a good predictor of value-weighted stock portfolio at various horizons in both in-sample and out-of-sample regressions. The predictive power of metal copper volatility is greater than that of aluminum. The results are robust to alternative measurements of variables and econometric approaches. After controlling several well-known macro pricing variables, the predictive power of copper volatility declines but remains statistically significant. Since the predictability exists only during our sample period, we conjecture that the stock market predictability by metal price volatility is partly driven by commodity financialization.