Most of the tests for asymmetry are developed under the null hypothesis of normal distribution. As is well known, many financial data exhibits fat tail, and commonly used tests (such as the standard square root test based on sample skewness) are not valid for leptokurtic financial data. Also,...

This paper develops a flexible parametric approach to capture asymmetry and excess kurtosis along with conditional heteroskedasticity with a general family of distributions for analyzing stock returns data. Engle's (1982) autoregressive conditional heteroskedastic (ARCH) model and its various...

The following essay is a reappraisal of the role of the smooth test proposed by Neyman (1937) in the context of current applications in econometrics. We revisit the derivation of the smooth test and put it into the perspective of the existing literature on tests based on probability integral...

This paper is concerned with estimation of optimal hedge ratios. Many researchers have demonstrated the inadequancies of the ordinary least squares (OLS) method that gives constant hedge ratio and suggested the use of bivariate autoregressive conditional heteroskedastic (BGARCH) model. We...

This paper deals with the estimation of optimal hedge ratios. A number of recent papers have demonstrated that ordinary least squares (OLS) method which gives constant hedge ratio is inappropriate and recommended the use of bivariate autoregressive conditional heteroskedastic (BGARCH) model. In...

The smooth test originally proposed by Neyman (1937) deserves a renewed attention in the context of the current applications in Econometrics. Our paper attempts to put Neyman's smooth test into perspective with the existing literature on goodness-of fit tests and other procedures based on...

One of the main ingredients in forming an international portfolio is the correlation matrix. The correlations represent the degree of interdependence across markets. With the recent globalization of markets and increased volatility, we can expect these correlations to change over time, and quite...

Most of the tests for symmetry are developed under the (implicit or explicit) null hypothesis of normal distribution. As is well known, many financial data exhibit fat tails, and therefore commonly used tests for symmetry (such as the standard b test based on sample skewness) are not valid for...