This paper proposes the cross-quantilogram to measure the quantile dependence between two time series. We apply it to … test the hypothesis that one time series has no directional predictability to another time series. We establish the … the null hypothesis of no predictability. We provide simulation studies and two empirical applications. First, we use the …

given time series has no directional predictability. The test is based on the correlogram of quantile hits. We provide the …In this note we propose a simple method of measuring directional predictability and testing for the hypothesis that a … stock index return data. The empirical results suggest some directional predictability in returns, especially in mid …

given time series has no directional predictability. The test is based on the correlogram of quantile hits. We provide the …In this note we propose a simple method of measuring directional predictability and testing for the hypothesis that a … stock index return data. The empirical results suggests some directional predictability in returns especially in mid range …

given time series has no directional predictability. The test is based on the correlogram of quantile hits. We provide the …In this note we propose a simple method of measuring directional predictability and testing for the hypothesis that a … stock index return data. The empirical results suggest some directional predictability in returns, especially in mid …

when estimating error quantiles. In order to prevent this efficiency loss in quantile estimation, we propose a quantile … estimator based on inverting an empirical likelihood weighted distribution estimator. It is found that the new quantile … estimator is uniformly more efficient than the simple empirical quantile and a quantile estimator based on normalized residuals …

when estimating error quantiles. In order to prevent this efficiency loss in quantile estimation, we propose a quantile … estimator based on inverting an empirical likelihood weighted distribution estimator. It is found that the new quantile … estimator is uniformly more efficient than the simple empirical quantile and a quantile estimator based on normalized residuals …

when estimating error quantiles. In order to prevent this efficiency loss in quantile estimation we propose a quantile … estimator based on inverting an empirical likelihood weighted distribution estimator. It is found that the new quantile … estimator is uniformly more efficient than the simple empirical quantile and a quantile estimator based on normalized residuals …