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We consider a new copula method for mixed marginals of discrete and continuous random variables. Unlike the Bayesian methods in the literature, we use maximum likelihood estimation based on closed-form copula functions. We show with a simulation that our methodology performs similar to the...
Persistent link: https://www.econbiz.de/10011255720
We consider a new copula method for mixed marginals of discrete and continuous random variables. Unlike the Bayesian methods in the literature , we use maximum likelihood estimation based on closed-form copula functions. We show with a simulation that our methodology performs similar to the...
Persistent link: https://www.econbiz.de/10013030820
Persistent link: https://www.econbiz.de/10010465710
Persistent link: https://www.econbiz.de/10010465712
We consider a new copula method for mixed marginals of discrete and continuous random variables. Unlike the Bayesian methods in the literature, we use maximum likelihood estimation based on closed-form copula functions. We show with a simulation that our methodology performs similar to the...
Persistent link: https://www.econbiz.de/10010464789
Persistent link: https://www.econbiz.de/10010465715
Not only currencies are assets in investor's portfolio, central banks use them for implementing economic policies. This implies existence of some type of dependence pattern among the currencies. We investigate such patterns among daily Deutsche Mark (DM) (Euro later), UK Sterling (GBP) and the...
Persistent link: https://www.econbiz.de/10011144191
This paper presents a method to specify a strictly stationary univariate time series model with particular emphasis on the marginal characteristics (fat tailedness, skewness etc.). It is the rst time in time series models with speci ed marginal distribution, a non-parametric speci cation is...
Persistent link: https://www.econbiz.de/10011144210
This paper studies the effect of marginal distributions on a copula, in the case of mixed discrete-continuous random variables. The existing literature has proposed various methods to deal with mixed marginals: this paper is the rst to quantify their e ect in a uni ed Bayesian setting. Using...
Persistent link: https://www.econbiz.de/10011144234
We introduce a dynamic Skellam model that measures stochastic volatility from high-frequency tick-by-tick discrete stock price changes. The likelihood function for our model is analytically intractable and requires Monte Carlo integration methods for its numerical evaluation. The proposed...
Persistent link: https://www.econbiz.de/10011403534