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Parente, Paulo M. D. C.; Smith, Richard J. - 2018 - This draft: July 2018

This article introduces and investigates the properties of a new bootstrap method for time-series data, the kernel block bootstrap. The bootstrap method, although akin to, offers an improvement over the tapered block bootstrap of Paparoditis and Politis (2001), admitting kernels with unbounded...

Persistent link: https://www.econbiz.de/10011878210

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

A joint specification test for response probabilities in unordered multinomial choice models

Iwasawa, Masamune - In: Econometrics : open access journal 3 (2015) 3, pp. 667-697

Estimation results obtained by parametric models may be seriously misleading when the model is misspecified or poorly approximates the true model. This study proposes a test that jointly tests the specifications of multiple response probabilities in unordered multinomial choice models. The test...

Persistent link: https://www.econbiz.de/10011410669

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

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

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

Nonparametric inference for second order stochastic dominance

Schmid, Friedrich; Trede, Mark - 1996

based on the asymptotic normality of point estimators, while the second one, relying on resampling techniques, can also cope …, however, that tests based on resampling techniques are more useful in practical applications. Their power in small samples is …

Persistent link: https://www.econbiz.de/10008992397

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

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

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