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数据量少情形下的一种回归预测模型的建立方法 被引量:1
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作者 崔文泉 《预测》 CSSCI 1998年第1期54-57,共4页
本文讨论了数据量少情形下的建立回归预测模型的方法,并对文献[1]中的应用实例进行了处理。
关键词 回归预测模型 回归自变量 选择 SWEEP 运算
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Asymmetric connectedness between China’s carbon and energy markets based on TVP-VAR model
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作者 Yu Dong Xue Yuan Yuting Wei 《中国科学技术大学学报》 CSCD 北大核心 2024年第10期14-25,I0006,共13页
An intuitive portrayal of the correlation between the carbon and energy markets is essential for risk control and green financial investment management.In this paper,we investigate the asymmetric spillovers between th... An intuitive portrayal of the correlation between the carbon and energy markets is essential for risk control and green financial investment management.In this paper,we investigate the asymmetric spillovers between the carbon mar-ket and energy market returns.To achieve that,we improve the Diebold-Yilmaz index model by a time-varying vector autoregressive(TVP-VAR)model.In a unified network,our daily dataset includes the closing prices of the Hubei carbon market,Shenzhen carbon market,coal futures,and energy stock index.The findings reveal that both the Hubei and Shen-zhen pilots typically generate net information spillovers on energy futures.In connection with energy stocks,the Hubei carbon market acts as a net receiver,while the Shenzhen carbon market is a net transmitter.Compared with the Hubei pi-lot,the Shenzhen pilot is more tightly connected to the energy markets.Furthermore,the spillovers of the carbon markets exhibit significant asymmetry.In most cases,they have more substantial impacts on the energy markets when the prices of emission allowances rise.The direction and magnitude of asymmetric spillovers across markets vary over time and can be influenced by certain economic or political events. 展开更多
关键词 carbon market energy market TVP-VAR Diebold-Yilmaz index model asymmetrical connectedness
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