We employ a novel framework to measure the asymmetric nexus between the cryptocurrency market and the carbon futures market based on different market conditions. Initially, we use Bitcoin, Ethereum, and Ripple to embody the cryptocurrency market and the European Union Allowance (EUA) futures to...

This study proposes a new VMD-ICEEMDAN-LSTM model, that combines secondary decomposition with long short-term memory neural networks (LSTM) to forecast realized volatility (RV) of Chinese crude oil futures. First, RV sequence is decomposed into sub-components and residuals using variational mode...

We present the first comprehensive study of mutual fund voting in proxy contests. Among contests where voting takes place, passive funds are ten percentage points less likely than active funds to vote for dissidents. The gap shrinks significantly when accounting for votes withheld from...

We develop a machine learning method to mitigate investor irrationality in copy trading. Copy trading allows layman investors (followers) to evaluate and copy expert traders’ transactions. The key challenge faced by followers is choosing which traders to follow. We observe a prevalence of...

The recycling of used lithium-ion batteries can undoubtedly bring enormous environmental and economic benefits. However, most researchers paid attention to the leaching and seldom the separation of valuable metals in waste LiNixCoyMnzO2 cathode materials. From the perspective of the raw...