Showing 41 - 50 of 188
The paper addresses a problem in a frequently used nonparametric test for Granger causality (Hiemstra and Jones, 1994). Some examples suffice to show that the equality tested in general is not an implication of the null hypothesis of conditional independence. Upon deriving the asymptotic bias we...
Persistent link: https://www.econbiz.de/10005345358
We analyze the issue of the impact of multiple breaks on monetary neutrality results, using a long annual international data set. We empirically verify whether neutrality propositions remain addressable (and if so, whether they hold or not), when unit root tests are carried out allowing for...
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I consider the problem of detecting and predicting regime switching behaviour in the context of Indian Stock Market data. First I discuss detection of volatility change points using the LRT and the Binary Segmentation procedure of Vostrikova (1981). The detected volatility changes are correlated...
Persistent link: https://www.econbiz.de/10005706186
We propose a new semiparametric procedure for estimating multivariate models with conditioning variables. The semiparametric model is based on the parametric conditional copula and nonparametric conditional marginals. To avoid the curse of dimensionality in the estimation of the latter, we...
Persistent link: https://www.econbiz.de/10005706216
Many time series in diverse fields have been found to exhibit long memory. This paper analyzes the behavior of some of the most used tests for long memory: the R/S or rescaled R/S, the GPH (Geweke and Porter-Hudak) and the DFA (Detrended Fluctuation Analysis). Some of these tests exhibit size...
Persistent link: https://www.econbiz.de/10005706495
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This paper considers the economic implications of having unit roots in stochastic processes of variables like consumption or GDP. Using a variety of models, we develop indirect tests for unit roots based on sharp distinctions that should arise when the scale variable is either difference...
Persistent link: https://www.econbiz.de/10005706762