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...

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...

Regression problems with time-series predictors are common in banking and many other areas of application. In this paper, we use multi-head attention networks to develop interpretable features and use them to achieve good predictive performance. The customized attention layer explicitly uses...

Sample covariance matrices tend to underestimate the risk of optimized portfolios. In this article, we identify special portfolios, termed “eigenportfolios,” that capture these systematic biases. Further, we present a methodology for estimating eigenportfolio biases and for adjusting the...

We investigate whether the widespread adoption of online visits after the COVID-19 shock has been associated with higher analysts' forecast errors. Using a difference-in-differences methodology, we find a positive association between online mode and analysts' forecast errors. We further discuss...