Large earnings surprises and negative earnings surprises represent more egregious errors in analysts' earnings forecasts. We find evidence consistent with our expectation that egregious forecast errors motivate analysts to work harder to develop or acquire relatively more private information in...

Part I: Introduction, review and exploratory studies -- 1.1 Introduction: Intelligent Fashion Forecasting -- 1.2 Sales forecasting in Apparel and Fashion Industry: a review -- Collaborative Planning Forecasting Replenishment Schemes in Apparel Supply Chain Systems: Cases and Research...

Predicting the near-future delay with accuracy for trains is momentous for railway operations and passengers’ traveling experience. This work aims to design prediction models for train delays based on Netherlands Railway data. We first develop a chi-square test to show that the delay evolution...

This paper comprehensively investigates the connection between oil futures volatility and the financial market based on a data-rich and model-rich environment, which contains traditional prediction models, machine learning models, and combination models. The results highlight the efficiency of...