This study aims at proposing a public-private partnership project including the government (GOVT), coal-fired power plant (CTPP) and solar photovoltaic power plant (PVPP) toward carbon emission reduction and neutralization in China. The project is formed using the CO2 capture and utilization...

Silicon (Si) plays an essential role in the biogeochemistry of rivers. Despite decades of research, how damming, eutrophication and climate change alters the DSi abundance and flux is still poorly characterized. Here, we explore the long-term changes in Si transport by the Changjiang (Yangtze)...

A well-documented finding is that explicitly using jumps cannot efficiently enhance the predictability of crude oil price volatility. To address this issue, we find a phenomenon, "momentum of jumps" (MoJ), that the predictive ability of the jump component is persistent when forecasting the oil...

In this paper, we review studies of oil volatility prediction from a new perspective: that of investors who require economic evaluations of forecasting performance. Our results indicate that no single volatility model outperforms all of the competing models, of which GARCH and realized...

While the relationship between oil prices and stock markets is of great interest to economists, previous studies do not differentiate oil-exporting countries from oil-importing countries when they investigate the effects of oil price shocks on stock market returns. In this paper, we address this...

We develop a novel method to impose constraints on univariate predictive regressions of stock returns. Unlike the previous approaches in the literature, we implement our constraints directly on the predictor, setting it to zero whenever its value falls below the variable's past 12-month high....

Forecasting oil prices has been of great interests for macroeconomists in the recent years. Our article contributes to this strand of the literature by using a dynamic model averaging (DMA) method to improve forecasting accuracy of real oil prices. The advantage of DMA is that the method...

This article investigates out-of-sample performance of the naïve hedging strategy relative to that of the minimum variance hedging strategy, in which the covariance parameters are estimated from eighteen econometric models. Hedging performance is compared across twenty-four futures markets. Our...

This paper uses a new risk aversion index to investigate the predictive effect of risk aversion on oil returns under different market conditions. Moreover, we assess whether the US partisan conflict shapes the prediction of risk aversion for oil returns. Based on the quantile regressions of oil...