In a data-rich environment, few studies use many predictors at different frequencies to forecast crude oil returns. This paper proposes a new model, LASSO-MIDAS, which combines LASSO (the least absolute shrinkage and selection operator) and MIDAS (mixed data sampling model) to predict crude oil...

While there is a consensus on the expanding importance of the China-Africa economic relationship, there is much more debate on how to portray the relationship. Thus, this study is aimed to examine the impacts of the China-Africa trade and Chinese foreign direct investment (FDI) on the growth of...

An individual's behavior can be determined by the personality traits they possess, which are a description of a set of characteristics that are unique to the individual. Previous analyses have indicated that the Big-5 personality traits (openness to experience, conscientiousness, extraversion,...

An individual's behavior can be determined by the personality traits they possess, which are a description of a set of characteristics that are unique to the individual. Previous analyses have indicated that the Big-5 personality traits (openness to experience, conscientiousness, extraversion,...

While there is a consensus on the expanding importance of the China-Africa economic relationship, there is much more debate on how to portray the relationship. Thus, this study is aimed to examine the impacts of the China-Africa trade and Chinese foreign direct investment (FDI) on the growth of...

This paper mainly investigates the performances of Chinese categorial economic policy uncertainty (EPU) indices and categorial Twitter-based uncertainty for predicting Chinese stock market volatility. Results show both types of uncertainty indices can predict Chinese stock market volatility,...

In dieser Arbeit handelt es um die OP-Planung im Krankenhausmanagement. Mithilfe der Theorie des Distributed-Decision-Makings wird der OP-Planungsprozess beziehungsweise der Kommunikationsprozess zwischen relevanten Parteien bei der OP-Planung mit dem Ziel einer möglichst effizienten...

House price prediction has traditionally been approached using linear or spatial linear hedonic models and focused on big cities. In this study, we developed a flexible spatiotemporal model (FSTM) to explore the spatiotemporal characteristics of the residential house price and the impact factors...