Showing 1 - 10 of 144
Inspired by findings of lowdimensional nonlinearities and the Theorem of Takens (1983) forecasting models of financial time series are often built upon nonparametric, i.e. universal nonlinear, univariate relationships. Empirical investigations, however, are seriously contaminated by the problem...
Persistent link: https://www.econbiz.de/10005858892
This paper focuses on the robust Effcient Method of Moments (EMM) estimation of a general parametric stationary process and proposes a broad framework for constructing robust EMM statistics in this context. This extends the application field of robust statistics to very general time series...
Persistent link: https://www.econbiz.de/10005858309
We consider consistent tests for stochastic dominance efficiency at any order of a given portfolio with respect to all possible portfolios constructed from a set of assets. We justify block bootstrap approaches to achieve valid inference in a time series setting. The test statistics are computed...
Persistent link: https://www.econbiz.de/10005858776
We study a test statistic based on the integrated squared difference between a kernel estimator of the copula density and a kernel smoothed estimator of the parametric copula density. We show for fixed smoothing parameters that the test is consistent and that the asymptotic properties are driven...
Persistent link: https://www.econbiz.de/10005858871
oftail dependence often have poor nite-sample properties. We therefore develop aparametric model for measuring and testing …
Persistent link: https://www.econbiz.de/10009487001
We consider a recently proposed class of nonlinear time series models and focus mainly onmisspecification testing for …
Persistent link: https://www.econbiz.de/10005870742
the estimator is used for testing parametric specifications of the meanfunction. Our leading example is a semiparametric … class of GARCH-in-Mean models. In this set-upour procedure provides a formal framework for testing economic theories that … the usefulness of the methodology by testing the linear risk-return relation predicted by theICAPM.[...] …
Persistent link: https://www.econbiz.de/10009262199
Determining good parameter estimates in ESTAR models is known to be difficult. We showthat the phenomena of getting strongly biased estimators is a consequence of the so-calledidentication problem, the problem of properly distinguishing the transition function in relationto extreme parameter...
Persistent link: https://www.econbiz.de/10009284848
this problem by offering a bootstrap based testing procedureto discriminate between these two rival models. We further …
Persistent link: https://www.econbiz.de/10009302598
We study the empirical behaviour of semi-parametric log-periodogram estimation forlong memory models when the true process exhibits a change in persistence. Simulationresults confirm theoretical arguments which suggest that evidence for long memory islikely to be found...
Persistent link: https://www.econbiz.de/10009302607