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In this paper we propose a new bootstrap, or Monte-Carlo, approach to such problems. Traditional bootstrap methods in this context are based on fitting a process chosen from a wide but relatively conventional range of discrete time series models, including autoregressions, moving averages,...
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regression model. Asymptotic distribution theory is developed for the estimation method which enjoys the same rate of convergence … as univariate function estimation. For the test statistic, asymptotic normal theory is established. These theoretical …We propose marginal integration estimation and testing methods for the coefficients of varying coefficient multivariate …
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Tests of asset-pricing models commonly use either the cross-section regression approach of Fama and MacBeth (1973) or the time-series regression approach that centers on the GRS test of Gibbons, Ross, and Shanken (1989). The goal here is to discuss how the two approaches differ and their...
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The article is focused on examining GARCH models with different lags on variety of financial time series. The first part describes an eduction of the best forecasting ability model with the help of out-of-sample criterion. The second section portrays series of tests that were performed in...
Persistent link: https://www.econbiz.de/10013118225
This paper proposes a test for common conditionally heteroskedastic (CH) features in asset returns. Following Engle and Kozicki (1993), the common CH features property is expressed in terms of testable overidentifying moment restrictions. However, as we show, these moment conditions have a...
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estimation, we reduce the infinite-dimensional problem into a finite-dimensional one and our statistic compares the pre- and post …
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