Showing 1 - 10 of 4,609
volatility, correlation, beta, quadratic variation, jump variation, and other functionals of an underlying continuous … application to correlation forecasting is presented …
Persistent link: https://www.econbiz.de/10013079416
We develop a new parameter stability test against the alternative of observation driven generalized autoregressive score dynamics. The new test generalizes the ARCH-LM test of Engle (1982) to settings beyond time-varying volatility and exploits any autocorrelation in the likelihood scores under...
Persistent link: https://www.econbiz.de/10013060732
adaptive analytic tools, wavelets are useful for capturing serial correlation where the spectrum has peaks or kinks, as can … cycles, and other kinds of periodicity. This paper proposes a new class of wavelet-based tests for serial correlation of … correlation of unknown form. We propose and justify a data-driven finest scale, in an automatic manner, converges to zero under …
Persistent link: https://www.econbiz.de/10013127204
In this paper a Canonical Correlation Analysis (CCA) is used to test the hypothesis r = r0 against the alternative r … to construct a confidence set for the cointegration rank. As the latter test, our tests are based on the eigenvalues of a … CCA between differences and lagged levels of a time series vector. The resulting test statistics can easily be adjusted …
Persistent link: https://www.econbiz.de/10009578561
In this paper we propose Granger (non-)causality tests based on a VAR model allowing for time-varying coefficients. The functional form of the time-varying coefficients is a Logistic Smooth Transition Autoregressive (LSTAR) model using time as the transition variable. The model allows for...
Persistent link: https://www.econbiz.de/10003644229
A procedure for testing equality across nonparametric regressions is proposed. The procedure allows for any dimension of the explanatory variables and for any number of subsamples. We consider the case of random explanatory variables and allow the designs of the regressors and the number of...
Persistent link: https://www.econbiz.de/10009578576
A procedure for testing the signicance of a subset of explanatory variables in a nonparametric regression is proposed. Our test statistic uses the kernel method. Under the null hypothesis of no effect of the variables under test, we show that our test statistic has a nhp2/2 standard normal...
Persistent link: https://www.econbiz.de/10009578578
In practical applications of micro simulation models very little is usually known about the properties of the simulated values. This paper argues that we need to apply the same rigorous standards for inference in micro simulation work as in scientific work generally. If not, then micro...
Persistent link: https://www.econbiz.de/10011586076
Established tests for proper calibration of multivariate density forecasts based on Rosenblatt probability integral transforms can be manipulated by changing the order of variables in the forecasting model. We derive order invariant tests. The new tests are applicable to densities of arbitrary...
Persistent link: https://www.econbiz.de/10011845266
The major objective of this paper is to demonstrate, theoretically and empirically, the test of a single structural break/change. Failure to address a structural break can lead to forecasting errors and the general unreliability of a model. Three approaches of testing for structural change are...
Persistent link: https://www.econbiz.de/10011774223