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A Ti-48Al-2Cr-2Nb alloy with uniformly dispersed nano-Y 2 O 3 addition was prepared by selective electron beam melting (SEBM). The effects of beam speed on the defects, microstructure and compressive properties were studied systematically. The Y 2 O 3 morphology gathered and exhibited a feathery...
Persistent link: https://www.econbiz.de/10013302462
Vertical specialization is a measure of the import content of exports. Given the widely recognized importance of trade in tasks and global production networks, vertical specialization has recently gained the attention of international trade researchers and policy makers. In this note, we use...
Persistent link: https://www.econbiz.de/10014166031
With the steady growth of global value chains (GVCs), each country's trade now has a more complex relationship with the international division of labor. We decompose the employment effects of a country's trade into five components, specifically the labour content (1) in exports, (2) in imports,...
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This paper proposes an EEMD-Hurst-LSTM prediction method based on the ensemble learning framework, which is applied to the prediction of typical commodities in China's commodity futures market. This method performs ensemble empirical mode decomposition (EEMD) on commodity futures prices, and...
Persistent link: https://www.econbiz.de/10014235745
This paper aims to study the correlation structure, key commodity and cluster characteristics of China's commodity markets during the period of the 2020-2021 global commodity price boom via applying Empirical Mode Decomposition (EMD) of commodity futures price indices to obtain high-frequency...
Persistent link: https://www.econbiz.de/10013295815
In statistical arbitrage, paired trading, as a market-neutral strategy, is widely used because of its simple method and easy implementation. This paper constructs a machine learning framework for commodity futures matching trading from four aspects: systematic feature extraction, unsupervised...
Persistent link: https://www.econbiz.de/10013406182