Correlations between two time series, including the linear Pearson correlation and the nonlinear transfer entropy, have attracted significant attention. In this work, we studied the correlations between multiple stock data with the introduction of a time delay and a rolling window. In most...

The synchronicity effect between the financial market and online response for time-series forecasting is an important task with wide applications. This study combines data from the Baidu index (BDI), Google trends (GT), and transfer entropy (TE) to forecast a wide range of futures prices with a...

Purpose: The purpose of this paper is to empirically examine the mediating role of potential and realized absorptive capacity in intellectual capital (IC) and business performance. It also investigates the direct impact of the components of IC on business performance....

The physicochemical properties and wine quality is a high dimensional complex network, For evaluating wine quality, an accurate examination for physicochemical properties of cross-correlation and causality is critical. In this study, Multi-Fractal Detrended Fluctuation Cross-Correlation Analysis...