Showing 1 - 10 of 408
Because of non-normality of stock returns nonparametric rank tests are gaining incremental popularity over parametric tests in financial economics event studies. In rank tests financial assets' multiple day cumulative abnormal returns (CARs) are replaced by cumulated ranks. This paper proposes...
Persistent link: https://www.econbiz.de/10013238247
Two step estimators with a nonparametric first step are important, particularly for sample selection models where the first step is estimation of the propensity score. In this paper we consider the efficiency of such estimators. We characterize the efficient moment condition for a given first...
Persistent link: https://www.econbiz.de/10014151484
This paper is concerned with tests of restrictions on the sample path of conditional quantile processes. These tests are tantamount to assessments of lack of fit for models of conditional quantile functions or more generally as tests of how certain covariates affect the distribution of an...
Persistent link: https://www.econbiz.de/10012731947
This paper compares the finite sample performance of three non-parametric threshold estimators via the Monte Carlo method. Our results indicate that the finite sample performance of the three estimators is not robust to the position of the threshold level along the distribution of the threshold...
Persistent link: https://www.econbiz.de/10011895629
. The method is based on the bootstrap, where resampling is done from a suitably estimated empirical density function (edf … distribution is logarithmically slow. It is proved that the bootstrap approximation provides a substantial improvement. The case of …
Persistent link: https://www.econbiz.de/10010270724
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We consider two semiparametric models for the weight function in a bias sample model. The object of our interest parametrizes the weight function, and it is either Euclidean or non Euclidean. One of the models discussed in this paper is motivated by the estimation the mixing distribution of...
Persistent link: https://www.econbiz.de/10010274127
We propose a new semiparametric observation-driven volatility model where the form of the error density directly influences the volatility dynamics. This feature distinguishes our model from standard semiparametric GARCH models. The link between the estimated error density and the volatility...
Persistent link: https://www.econbiz.de/10010326169
The paper studies the partial identifying power of structural single equation threshold crossing models for binary responses when explanatory variables may be endogenous. The paper derives the sharp identified set of threshold functions for the case in which explanatory variables are discrete...
Persistent link: https://www.econbiz.de/10010288364