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...

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...

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...

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...

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...

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...

This paper analyzes the eect of the gender of local policymakers on policy outcomes. Analyzing a rich dataset from Brazilian municipalities and using a regression discon- tinuity design, we nd that municipalities ruled by female mayors have better health outcomes, receive more federal...