We present two general results that can be used to obtain asymptotic properties for statistical functionals based on linear long-memory sequences. As examples for the first one we consider L- and V-statistics, in particular tail-dependent L-statistics as well as V-statistics with unbounded...

This paper questions whether it is possible to derive consistency and asymptotic normality of the Gaussian quasi-maximum likelihood estimator (QMLE) for possibly the simplest multivariate GARCH model, namely, the multivariate ARCH(1) model of the Baba, Engle, Kraft, and Kroner form, under weak...

The paper proposes a new approach to the mean–variance-hedging problem under transaction costs. This approach is based on the idea of dividing the gain functional into two parts. One part representing the gains resulting from a pure buying strategy, and the other part representing the gains...

For order statistics Xi,n,Xj,n,Xk,n with 1[less-than-or-equals, slant]i<j<k[less-than-or-equals, slant]n, and an independent beta distributed random variable C the distributional equation is established for uniform distributions as well as seen to be characteristic.

This paper questions whether it is possible to derive consistency and asymptotic normality of the Gaussian quasi-maximum likelihood estimator (QMLE) for possibly the simplest VEC-GARCH model, namely the multivariate ARCH(1) model of the BEKK form, under weak moment conditions similar to the...

The classical functional delta method (FDM) provides a convenient tool for deriving the asymptotic distribution of statistical functionals from the weak convergence of the respective empirical processes. However, for many interesting functionals depending on the tails of the underlying...

Many problems in financial engineering involve the estimation of unknown conditional expectations across a time interval. Often Least Squares Monte Carlo techniques are used for the estimation. One method that can be combined with Least Squares Monte Carlo is the "Regress-Later" method. Unlike...

The paper proposes a new approach to the mean–variance-hedging problem under transaction costs. This approach is based on the idea of dividing the gain functional into two parts. One part representing the gains resulting from a pure buying strategy, and the other part representing the gains...