This study introduces an integrated vector error correction and directed acyclic graph method for investigating contemporaneous causalities with application to regional scrap steel prices in east, north, south, central, northeast, and southwest China. We use daily data and combine the Peter and...

Purpose Forecasts of commodity prices are vital issues to market participants and policy makers. Those of corn are of no exception, considering its strategic importance. In the present study, the authors assess the forecast problem for the weekly wholesale price index of yellow corn in China...

Purpose - For policymakers and participants of financial markets, predictions of trading volumes of financial indices are important issues. This study aims to address such a prediction problem based on the CSI300 nearby futures by using high-frequency data recorded each minute from the launch...

It is an important task to make predictions of trading volumes of financial indices to market participants. In the present study, we focus on this issue for the Chinese Stock Index 300 (CSI300) spot by exploring the high-frequency one-minute data spanning the launch date of the corresponding...

The real estate market in China has been growing rapidly during the past decade, with different property price patterns across various regions. Among different types of properties, prices of retail properties have not been sufficiently analyzed. This study focuses on forecasting problems of...

Carbon information disclosure is crucial for combating climate change, but firms often face cost and market constraints that limit their willingness to disclose. We focus on green underwriters as financial intermediaries to examine their influence on corporate carbon information disclosure. We...