An asymmetric extension of the recently proposed (symmetric) Gauss-Laplace sum distribution for stock returns is developed, motivated by the fact that many stock return distributions display significant asymmetries. The properties of the new distribution, insofar as relevant for estimation, testing, and the modelling of skewness and kurtosis, are derived. An application to three major US stock return indices shows an excellent fit of the model, which outperforms many popular alternatives.
New, functional, concepts of skewness and kurtosis are introduced for large classes of continuous un...
Functional measures of skewness and kurtosis, called asymmetry and gradient asymmetry functions, are...
We propose a practical and flexible solution to introduce skewness in multivariate sym-metrical dist...
We propose a practical and flexible solution to introduce skewness in multivariate symmetrical distr...
In this paper we study a general family of skew-symmetric distributions which are generated by the c...
Recent portfolio-choice, asset-pricing, value-at-risk, and option-valuation models highlight the imp...
In this paper, by using a generalized asymmetry measure with the heteroskedasticity autocorrelation ...
The paper advances the log-generalized gamma distribution as a suitable generator of conditional ske...
This paper proposes a GARCH-type model allowing for time-varying volatility, skewness and kurtosis. ...
This paper proposes a GARCH-type model allowing for time-varying volatility, skewness and kurtosis. ...
This paper proposes a GARCH-type model allowing for time-varying volatility, skewness and kurtosis. ...
Theoretical considerations of kurtosis, whether of partial orderings of distributions with respect t...
Skew Laplace distributions, which naturally arise in connection with random summation and quantile r...
Although the GARCH model has been quite successful in capturing important empirical aspects of finan...
We have introduced a multivariate asymmetric-slash Laplace distribution, a flexible distribution tha...
New, functional, concepts of skewness and kurtosis are introduced for large classes of continuous un...
Functional measures of skewness and kurtosis, called asymmetry and gradient asymmetry functions, are...
We propose a practical and flexible solution to introduce skewness in multivariate sym-metrical dist...
We propose a practical and flexible solution to introduce skewness in multivariate symmetrical distr...
In this paper we study a general family of skew-symmetric distributions which are generated by the c...
Recent portfolio-choice, asset-pricing, value-at-risk, and option-valuation models highlight the imp...
In this paper, by using a generalized asymmetry measure with the heteroskedasticity autocorrelation ...
The paper advances the log-generalized gamma distribution as a suitable generator of conditional ske...
This paper proposes a GARCH-type model allowing for time-varying volatility, skewness and kurtosis. ...
This paper proposes a GARCH-type model allowing for time-varying volatility, skewness and kurtosis. ...
This paper proposes a GARCH-type model allowing for time-varying volatility, skewness and kurtosis. ...
Theoretical considerations of kurtosis, whether of partial orderings of distributions with respect t...
Skew Laplace distributions, which naturally arise in connection with random summation and quantile r...
Although the GARCH model has been quite successful in capturing important empirical aspects of finan...
We have introduced a multivariate asymmetric-slash Laplace distribution, a flexible distribution tha...
New, functional, concepts of skewness and kurtosis are introduced for large classes of continuous un...
Functional measures of skewness and kurtosis, called asymmetry and gradient asymmetry functions, are...
We propose a practical and flexible solution to introduce skewness in multivariate sym-metrical dist...