Projections of commodity prices have long been a significant source of dependence for
investors and the government. This study investigates the challenging topic of forecasting …

Structural equation models and Bayesian networks have been widely used to analyze
causal relations between continuous variables. In such frameworks, linear acyclic models …

Investors and authorities have always placed a high emphasis on commodity price
forecasting. In this study, the issue of daily price index forecasting for flat steel products on …

The house market has been rapidly growing for the past decade in China, making price
forecasting an important issue to the people and policy makers. We approach this problem …

During the past decade, the housing market in China has witnessed rapid growth and the
significance of forecasting related to housing prices has undoubtedly elevated, which has …

During the last decade, the Chinese housing market has seen fast expansion, and the
importance of housing price forecasts has surely increased, becoming an essential problem …

Purpose The Chinese housing market has witnessed rapid growth during the past decade
and the significance of housing price forecasting has undoubtedly elevated, becoming an …

Projections of commodity prices have long been heavily relied upon by investors and the
government. This study examines the challenging task of estimating the daily regional steel …

Causal analysis has become an essential component in understanding the underlying
causes of phenomena across various fields. Despite its significance, existing literature on …

Purpose Chinese housing market has been growing fast during the past decade, and price-
related forecasting has turned to be an important issue to various market participants …