Forecasting has always been at the forefront of decision making and planning. The
uncertainty that surrounds the future is both exciting and challenging, with individuals and …

Abstract Bootstrap Aggregating (Bagging) is an ensemble technique for improving the
robustness of forecasts. Random Forest is a successful method based on Bagging and …

In modern finance, social investment portfolios have attracted the attention of researchers,
investors, and practitioners. Regarding the long-term nature of this investment, the selection …

We employ 47 different algorithms to forecast Australian log real house prices and growth
rates, and compare their ability to produce accurate out‐of‐sample predictions. The …

Accurate forecasts of macroeconomic variables are crucial inputs into the decisions of
economic agents and policy makers. Exploiting inherent aggregation structures of such …

Tactical sales forecasting is fundamental to production, transportation and personnel
decisions at all levels of a supply chain. Traditional forecasting methods extrapolate …

In this paper we consider the value of Google Trends search data for nowcasting (and
forecasting) GDP growth for a developed economy (the US) and an emerging-market …

The electricity price forecasting (EPF) is a challenging task not only because of the
uncommon characteristics of electricity but also because of the existence of many potential …

The purpose of this article is to screen out the most important factors affecting China's
economic growth. Based on a literature review and relevant financial theoretical knowledge …

Education competitiveness is a key feature of national competitiveness. It is crucial for
nations to develop and enhance student and teacher potential to increase national …