This paper examines the problem of evaluating the presence of asymmetry in the marginal distribution of financial returns by means of a suitable statistical test. After a brief description of existing tests, a bootstrap procedure is proposed. A Monte Carlo study showed that this test works properly and that, in terms of power, it is competitive with existing tests. An application to real financial time series is also presented.Skewness, Symmetry test, Financial returns, Bootstrap,
This study provides empirical evidence on asymmetry in financial returns using a simple stochastic v...
This study provides empirical evidence on asymmetry in financial returns using a simple stochastic v...
The paper considers the problem of testing for symmetry (about an unknown centre) of the marginal di...
This paper examines the problem of evaluating the presence of asymmetry in the marginal distribution...
In this paper, by using a generalized asymmetry measure with the heteroskedasticity autocorrelation ...
We propose three residual-based tests for conditional asymmetry. The distribution is assumed to fall...
We propose three residual-based tests for conditional asymmetry. The distribution is assumed to fall...
We propose three residual-based tests for conditional asymmetry. The distribution is assumed to fall...
The power of the Houck's model of asymmetry is examined via bootstrap and Monte Carlo techniques. Th...
This paper discusses how to test for conditional symmetry in time seriesregression models. To that e...
We provide a model-free test for asymmetric correlations in which stocks move more often with the ma...
We propose a nonlinear time series model where both the conditional mean and the conditional varianc...
This article considers a nonparametric test for symmetry of the marginal law of a stationary stochas...
In this paper a test procedure is proposed for the skewness in autoregressive conditional volatility...
The Journal of Financial and Quantitative Analysis © 1979 University of Washington School of Busines...
This study provides empirical evidence on asymmetry in financial returns using a simple stochastic v...
This study provides empirical evidence on asymmetry in financial returns using a simple stochastic v...
The paper considers the problem of testing for symmetry (about an unknown centre) of the marginal di...
This paper examines the problem of evaluating the presence of asymmetry in the marginal distribution...
In this paper, by using a generalized asymmetry measure with the heteroskedasticity autocorrelation ...
We propose three residual-based tests for conditional asymmetry. The distribution is assumed to fall...
We propose three residual-based tests for conditional asymmetry. The distribution is assumed to fall...
We propose three residual-based tests for conditional asymmetry. The distribution is assumed to fall...
The power of the Houck's model of asymmetry is examined via bootstrap and Monte Carlo techniques. Th...
This paper discusses how to test for conditional symmetry in time seriesregression models. To that e...
We provide a model-free test for asymmetric correlations in which stocks move more often with the ma...
We propose a nonlinear time series model where both the conditional mean and the conditional varianc...
This article considers a nonparametric test for symmetry of the marginal law of a stationary stochas...
In this paper a test procedure is proposed for the skewness in autoregressive conditional volatility...
The Journal of Financial and Quantitative Analysis © 1979 University of Washington School of Busines...
This study provides empirical evidence on asymmetry in financial returns using a simple stochastic v...
This study provides empirical evidence on asymmetry in financial returns using a simple stochastic v...
The paper considers the problem of testing for symmetry (about an unknown centre) of the marginal di...