Hierarchical regression is used to empirically investigate the impact of digital capabilities on green innovation performance, as well as the mediating role of organizational agility and the moderating effect of knowledge inertia. Based on the data from a large sample of 383 middle and senior...

State-owned enterprises (SOEs) are important components of the Chinese economy. Although SOEs are generally considered inefficient in operations, China's economy, which relies heavily on SOEs, has been highly successful over the last four decades. This indicates the importance of SOEs in China's...

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...

A highly-respected public recognition of supply chain management (SCM) excellence is the Supply Chain Top 25 List, published annually by AMR Research. By employing event study method, this study extensively examined stock market reactions to annual announcements of the AMR Supply Chain Top 25...

We examine whether the corporate control market is an important governance mechanism that the controlling shareholders of publicly listed Chinese SOEs employ to improve the performance of less efficiently run Chinese SOEs. Using an econometric methodology advocated by Maddala (1983), we show...

In existing literature, economic uncertainty may have positive, negative, or insignificant effect on crude oil prices. Based on our newly proposed two-stage tests and empirical analysis, we show that such disagreement is often caused by the conventional assumption on time-invariant market...

We test the value at risk (VaR) forecasting accuracy of seven generalised autoregressive condition heteroskedasticity (GARCH)-mixed data sampling (MIDAS) models, which potentially provide superior forecast accuracy than traditional GARCH models by capturing different forms of mixed frequency...

Several common properties shared by cryptocurrencies and precious metals, such as safe haven, hedge and diversification for risk assets, have been wildly discussed since the day Bitcoin was created in 2008. However, no studies have explored whether cryptocurrency market uncertainties can help to...

This study analyses the prediction power of uncertainty measures, especially the cryptocurrency uncertainty indices on the long-term volatility of the gold markets. By utilising a mixed data sampling model, GARCH-MIDAS, we show that various uncertainty measures may capture different types of...