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Robust resampling methods for time series
Camponovo, Lorenzo; Scaillet, Olivier; Trojani, Fabio - 2010 - This version: May 9, 2010
We study the robustness of block resampling procedures for time series. We first derive a set of formulas to … applications. This renders inference based on standard resampling methods useless already in simple estimation and testing settings …. To solve this problem, we introduce a robust fast resampling scheme that is applicable to a wide class of time series …
Persistent link: https://www.econbiz.de/10003971115
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Shortcomings of a parametric VaR approach and nonparametric improvements based on a non-stationary return series model
Gürtler, Marc; Rauh, Ronald - 2009 - This Version: 2009-09-09
A non-stationary regression model for financial returns is examined theoretically in this paper. Volatility dynamics are modelled both exogenously and deterministic, captured by a nonparametric curve estimation on equidistant centered returns. We prove consistency and asymptotic normality of a...
Persistent link: https://www.econbiz.de/10009487233
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Detecting serial dependence in tail events
Diks, Cees G. H. - 2002
A test for serial independence is proposed which is related to the BDS test but focuses on tail event probabilities rather than probabilities near the center of the distribution. The motivation behind this approach is to obtain a test more suitable for detecting structure in the tails, such as...
Persistent link: https://www.econbiz.de/10011327543
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Adaptive testing for cointegration with nonstationary volatility
Boswijk, Herman Peter; Zu, Yang - 2019
This paper generalises Boswijk and Zu (2018)'s adaptive unit root test for time series with nonstationary volatility to a multivariate context. Persistent changes in the innovation variance matrix of a vector autoregressive model lead to size distortions in conventional cointegration tests,...
Persistent link: https://www.econbiz.de/10012026102
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Testing for equality between two copulas
Remillard, Bruno (contributor);  … - 2007
We develop a test of equality between two dependence structures estimated through empirical copulas. We provide inference for independent or paired samples. The multiplier central limit theorem is used for calculating p-values of the Crameacute;r-von Mises test statistic. Finite sample properties...
Persistent link: https://www.econbiz.de/10003550857
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Robust subsampling
Camponovo, Lorenzo (contributor);  … - 2006
We characterize the robustness of subsampling procedures by deriving a formula for the breakdown point of subsampling quantiles. This breakdown point can be very low for moderate subsampling block sizes, which implies the fragility of subsampling procedures, even if they are applied to robust...
Persistent link: https://www.econbiz.de/10003394379
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Non-parametric stochastic simulations to investigate uncertainty around the OECD indicator model forecasts
Rusticelli, Elena - 2012
The forecasting uncertainty around point macroeconomic forecasts is usually measured by the historical performance of the forecasting model, using measures such as root mean squared forecasting errors (RMSE). This measure, however, has the major drawback that it is constant over time and hence...
Persistent link: https://www.econbiz.de/10009690936
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Permutation tests on returns to scale and common production frontiers in nonparametric models
Rønn-Nielsen, Anders; Kronborg, Dorte; Asmild, Mette - 2022
Permutation techniques, where one recompute the test statistic over permutations of data, have a long history in statistics and have become increasingly useful as the availability of computational power has increased. Until now, no permutation tests for examining returns to scale assumptions,...
Persistent link: https://www.econbiz.de/10013338075
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Conditional quantile processes based on series or many regressors
Belloni, Alexandre; Chernozhukov, Victor; … - 2011
Quantile regression (QR) is a principal regression method for analyzing the impact of covariates on outcomes. The impact is described by the conditional quantile function and its functionals. In this paper we develop the nonparametric QR series framework, covering many regressors as a special...
Persistent link: https://www.econbiz.de/10009153247
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Testing the "separability" condition in two-stage nonparametric models of production
Daraio, Cinzia; Simar, Léopold; Wilson, Paul W. - 2015
Simar and Wilson (J. Econometrics, 2007) provided a statistical model that can rationalize two-stage estimation of technical efficiency in nonparametric settings. Two-stage estimation has been widely used, but requires a strong assumption: the second-stage environmental variables cannot affect...
Persistent link: https://www.econbiz.de/10011317720