The main goal of the paper is to investigate whether real GDP follows a trend stationary or a different stationary process. Our hypothesis is that real output is characterized by a non-linear mean reverting process. It is flexible Fourier stationary unit root test proposed by Enders and Lee...

This study applies the Sequential Panel Selection Method (SPSM) proposed by Chortareas and Kapetanios (2009) to investigate and assess the non-stationary properties of whether real GDP follows a trend stationary or a difference stationary process for Central Eastern European (CEE) countries....

Using the non-parametric rank tests proposed by Breitung (2001), we set out in this study to determine whether any non-linear long-run equilibrium relationship exists between the stock and real estate markets of China. We go on to adopt the threshold error-correction model (TECM) to determine...

This study uses the Sequential Panel Selection Method (SPSM) proposed by Chortareas and Kapetanios (2009) to investigate the non-stationarity properties of real interest rates in 12 Central and Eastern European (CEE) countries. We are thereby able to test the validity of real interest rate...

Purpose: Based on the cue utilization theory and congruity theory, the purpose of this paper is to investigate the mediating effects of perceived quality on the relationships between category characteristics and purchase intention for private labels. Design/methodology/approach: To examine the...

The purpose of this investigation is to research the causal link between economic policy uncertainty (EPU) and the housing returns (HR) in Germany. In the estimated vector autoregressive models, we test its stability and find the short-run relationship between HR and EPU is unstable. As a...

Purpose: This paper aims to examine the impact of interest rate liberalisation on the constancy of mean interest rates in China to test the effect of financial reforms and provide strategies for future practices. Design/methodology/approach: Bai and Perron’s (1998, 2003) methodology is used...

This study provides new insights on the nexus between Tweet sentiments and stock price in China. Based on machine learning, we classify the Tweets from Weibo, a Twitter's variant in China into five sentiments of anger, disgust, joyful, sadness, and fear. Using wavelet analysis, we find close...