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Persistent link: https://www.econbiz.de/10013542193
series. Application of the new methods to analyze the volatility properties of stock market returns leads to some unexpected …
Persistent link: https://www.econbiz.de/10011405222
We provide a limit theory for a general class of kernel smoothed U statistics that may be used for specification testing in time series regression with nonstationary data. The framework allows for linear and nonlinear models of cointegration and regressors that have autoregressive unit roots or...
Persistent link: https://www.econbiz.de/10013131589
volatility induced by this model. Some simulations and a brief empirical application to data on an Australian Exchange Traded …
Persistent link: https://www.econbiz.de/10013075939
A limit theory is developed for multivariate regression in an explosive cointegrated system. The asymptotic behavior of the least squares estimator of the cointegrating coefficients is found to depend upon the precise relationship between the explosive regressors. When the eigenvalues of the...
Persistent link: https://www.econbiz.de/10012776773
We provide a new asymptotic theory for local time density estimation for a general class of functionals of integrated time series. This result provides a convenient basis for developing an asymptotic theory for nonparametric cointegrating regression and autoregression. Our treatment directly...
Persistent link: https://www.econbiz.de/10012778972
Estimation of the memory parameter (d) is considered for models of nonstationary fractionally integrated time series with d gt; (1/2). It is shown that the log periodogram regression estimator of d is inconsistent when 1 lt; d lt; 2 and is consistent when (1/2) lt; d = 1. For d gt; 1, the...
Persistent link: https://www.econbiz.de/10012779219
An infinite-order asymptotic expansion is given for the autocovariance function of a general stationary long-memory process with memory parameter d in (-1/2,1/2). The class of spectral densities considered includes as a special case the stationary and invertible ARFIMA(p,d,q) model. The leading...
Persistent link: https://www.econbiz.de/10012779221
In time series regressions with nonparametrically autocorrelated errors, it is now standard empirical practice to use kernel-based robust standard errors that involve some smoothing function over the sample autocorrelations. The underlying smoothing parameter b, which can be defined as the ratio...
Persistent link: https://www.econbiz.de/10012783449
In time series regression with nonparametrically autocorrelated errors, it is now standard empirical practice to construct confidence intervals for regression coefficients on the basis of nonparametrically studentized t-statistics. The standard error used in the studentization is typically...
Persistent link: https://www.econbiz.de/10012771849