This study employs the Grey Relational Analysis (GRA) and Artificial Neural Network (ANN) to measure the impact of key elements on the forecasting performance of real estate investment trust (REIT) returns. To manage risks from a real estate price bubble, the findings of GRA suggest that the...

This study investigates the determinants of business failure rates for low-technology and high-technology manufacturing industries across the forty-eight contiguous US states over the period 1984 to 1993. The main focus is on examining the role that some key state fiscal measures and federal...

In this study, the ordered probit model with marginal effect was applied to examine the key elements that influence changes in the Gini levels. The empirical results indicated that export incentives and poverty have a positive impact on the Gini levels. Moreover, the marginal effect revealed...

Using the Exponentially Generalized AutoRegressive Conditional Heteroscedasticity-AutoRegressive Moving Average (EGARCH-ARMA) model, there are no differences in terms of the spillover of returns from volatilities and leverage effects between ethical and non-ethical Exchange Traded Funds (ETFs)...

This study deals with the emergence of different regional crises and the comparison of early warning indicators to check for the accuracy of pace of exits. It was found that trade factors and monetary conditions clearly play a pivotal role in affecting the probability of existing time to...