Various forms of instability can be observed in macroeconomic and financial data including changes in variance, changes in cycle properties, or both. Traditional tests do not allow to distinguish between these different cases. This paper proposes and compares two alternative approaches. The...

This note shows that German real GDP follows a trendstationary process. Both tests which have trendstationarity as the alternative hypothesis as well as tests that have it under the null hypothesis prefer the trendstationary model. Explicit consideration of breaks in the trend is not necessary...

Purpose - to analyse the main borrowing alternatives available to Lithuanian households and the credit market as a whole, focusing on its peer-to-peer (P2P) segment, the forecast of its growth, and possible challenges. Research methodology - the research methods applied were scientific...

Usamos simulaciones de Monte Carlo para estudiar el desempeno de la prueba de raiz unitaria de Shin-So (DFSS) bajo los enfoques de transformaciones invariantes y el bootstrapping. Si la hipotesis alternativa es un proceso estacionario alrededor de una tendencia lineal, entonces la prueba...

The paper introduces a novel approach to testing for unit roots in panels, which takes a new contour that is drawn along the line given by the equi-squared-sum instead of the traditional one given by the equi-sample-size. We show in the paper that the distributions of the unit root tests are...

This paper considers a multivariate extension of the test for neglected nonlinearity proposed by Tsay (1986) that uses principal components to overcome the problem of dimensionality that is common with tests of this type. Monte Carlo experiments reveal that the modified multivariate test...

We propose a nonparametric estimation and inference for conditional density based Granger causality measures that quantify linear and nonlinear Granger causalities. We first show how to write the causality measures in terms of copula densities. Thereafter, we suggest consistent estimators for...

Volatility models have been extensively used in risk modeling especially GARCH models under the normal distribution. Although they generate highly significant coefficient estimates, these models are known to have poor forecasting power. It is therefore interesting to develop a different approach...

This paper examines whether overconfidence can explain the relationship between performance and behavior of investors in Taiwan. Different from prior research that used a specific sample of individuals trading records, this work focuses on aggregate investor behavior to know whether...

We investigate the oil price risk exposure of the U.S. Travel and Leisure industry. In this paper, we utilize the Fama–French–Carhart's (1997) four-factor asset pricing model augmented with oil price risk factor. The results of our study suggest that oil price sensitivities vary...