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The evaluation of multi-step-ahead density forecasts is complicated by the serial correlation of the corresponding probability integral transforms. In the literature, three testing approaches can be found which take this problem into account. However, these approaches can be computationally...
Persistent link: https://www.econbiz.de/10009424910
Based on the theory of multiple statistical hypothesis testing, we elaborate simultaneous statistical inference methods …
Persistent link: https://www.econbiz.de/10009531431
We propose a specification test for a wide range of parametric models for the conditional distribution function of an outcome variable given a vector of covariates. The test is based on the Cramer-von Mises distance between an unrestricted estimate of the joint distribution function of the data,...
Persistent link: https://www.econbiz.de/10009531435
This paper concerns goodness-of-fit test for semiparametric copula models. Our contribution is two-fold: we first propose a new test constructed via the comparison between "in-sample" and "out-of-sample" pseudolikelihoods, which avoids the use of any probability integral transformations. Under...
Persistent link: https://www.econbiz.de/10009789426
Under the Basel II regulatory framework non-negligible statistical problems arise when backtesting risk measures. In this setting backtests often become infeasible due to a low number of violations leading to heavy size distortions. According to Escanciano and Olmo (2010, 2011) these problems...
Persistent link: https://www.econbiz.de/10010344866
Persistent link: https://www.econbiz.de/10009720750
Using Monte Carlo experiments, we examine the performance of Indirect Inference tests of DSGE models, usually versions of the Smets-Wouters New Keynesian model of the US postwar period. We compare these with tests based on direct inference (using the Likelihood Ratio), and on the Del...
Persistent link: https://www.econbiz.de/10009563550
kernel smoothing of the conditional mean function. An asymptotic theory for the resulting kernel estimator is developed and …
Persistent link: https://www.econbiz.de/10003747376
This paper introduces a test for zero correlation in situations where the correlation matrix is large compared to the sample size. The test statistic is the sum of the squared correlation coefficients in the sample. We derive its limiting null distribution as the number of variables as well as...
Persistent link: https://www.econbiz.de/10003483680
In this paper, we propose two parametric alternatives to the standard GARCH model. They allow the conditional variance to have a smooth time-varying structure of either additive or multiplicative type. The suggested parameterizations describe both nonlinearity and structural change in the...
Persistent link: https://www.econbiz.de/10003618525