The boom-bust cycle in U.S. house prices has been a fundamental determinant of the recent financial crisis leading up to the Great Recession. The risky financial innovations in the housing market prior to the recent crisis fueled the speculative housing boom. In this backdrop, the main...

This paper aims to analyze the empirical relationship between trade openness and external debt for the Turkish economy, using quarterly time series data from the 1990:1-2012:2 periods. We utilize the bounds testing procedure to establish the cointegration relationship among variables and the...

This paper has attempted studying the twin issues of asymmetry/leverage effect and excess kurtosis prevalent in India's stock returns under alternative volatility specifications as well as conditional distributional assumptions. This study has been carried out using daily-level data, based on...

Nonparametric density estimation is of great importance when econometricians want to model the probabilistic or stochastic structure of a data set. This comprehensive review summarizes the most important theoretical aspects of kernel density estimation and provides an extensive description of...

Dummy variables can be used to detect, validate and measure the impact of outliers in data. This paper uses a model to evaluate the effectiveness of dummy variables in detecting outliers. While generally confirming some findings in the literature, the model refutes the presumption that the...

ANN (Artificial Neural Network) models and Spline techniques have been applied to economic analysis, to handle economic problems, evaluate portfolio risk and stock performance, and to forecast stock exchange rates and gold prices. These techniques are improving nowadays and continue to serve as...

Nonparametric density estimation is of great importance when econometricians want to model the probabilistic or stochastic structure of a data set. This comprehensive review summarizes the most important theoretical aspects of kernel density estimation and provides an extensive description of...

This paper has attempted studying the twin issues of asymmetry/leverage effect and excess kurtosis prevalent in India’s stock returns under alternative volatility specifications as well as conditional distributional assumptions. This study has been carried out using daily-level data, based on...

Dummy variables can be used to detect, validate and measure the impact of outliers in data. This paper uses a model to evaluate the effectiveness of dummy variables in detecting outliers. While generally confirming some findings in the literature, the model refutes the presumption that the...

ANN (Artificial Neural Network) models and Spline techniques have been applied to economic analysis, to handle economic problems, evaluate portfolio risk and stock performance, and to forecast stock exchange rates and gold prices. These techniques are improving nowadays and continue to serve as...