In a randomized controlled trial involving hundreds of university students, we provide relative performance feedback specifically designed to reduce low performers' demoralization, by dynamically assigning students to small leaderboard groups that share a similar score in a semester-long online...

Metal organic frameworks (MOFs) is a promising adsorbent for the removal of arsenic (As) from wastewater. The removal efficiency of As is influenced by many factors, such as the textural properties of MOFs, adsorption conditions, and As species. Examining all relevant factors through traditional...

We find that managers receive more risk-taking incentives in their compensation packages once their firms are referenced by credit default swap (CDS) trading, particularly when institutional ownership is high and when firms are in financial distress. These findings provide suggestive evidence...

Generative Adversarial Net (GAN) has been proven to be a powerful machine learning tool in image data analysis and generation. In this paper, we propose to use Conditional Generative Adversarial Net (CGAN) to learn and simulate time series data. The conditions can be both categorical and...

This paper gives a computer-intensive approach to multi-step-ahead prediction of volatility in financial returns series under an ARCH/GARCH model and also under a model-free setting, namely employing the NoVaS transformation. Our model-based approach only assumes i..id innovations without...