This paper examines the Melo-Vogt hypotheses and compares the effects of economic openness in China and India. The two defining characteristics of this paper are the addition of a cross term containing the economic globalization index to the traditional import demand function model, and testing...

This study uses nonstationary time series approach to test the sustainability of the current account deficits in China over the period from 1982 to 2009. Our empirical results suggest that, despite the cointegrating relationship between imports and exports in China, the intertemporal external...

This paper uses the concept of cointegration for empirically analyzing the long-run relationship of China's import demand function. The analysis employs the annual data for the sample period from 1978 to 2009. The purpose of this study is to investigate and explain China's import demand...

The research field related to finance has made great progress in recent years due to the development of information processing technology and the availability of large-scale data. This special issue is a collection of 16 articles on empirical finance and one book review. The content is six...

There is no denying the role of empirical research in finance and the remarkable progress of empirical techniques in this research field. This Special Issue focuses on the broad topic of "Empirical Finance" and includes novel empirical research associated with financial data. One example...

A longstanding objective of managers is to reduce risk to their businesses. The conventional strategy for risk reduction is diversification; however, evidence for the effectiveness of diversification remains inconclusive. According to Organizational Portfolio Analysis, firms are viewed as...

Proper credit-risk management is essential for lending institutions, as substantial losses can be incurred when borrowers default. Consequently, statistical methods that can measure and analyze credit risk objectively are becoming increasingly important. This study analyzes default payment data...

Housing prices in China have been rising rapidly in recent years, which is a cause for concern for China's housing market. Does bank credit influence housing prices? If so, how? Will the housing prices affect the bank credit system if the market collapses? We aim to study the dynamic...

We propose a novel approach that combines random forests and the wavelet transform to model the prediction of currency crises. Our classification model of random forests, built using both standard predictors and wavelet predictors, and obtained from the wavelet transform, achieves a demonstrably...