Showing 51 - 60 of 110
The asymmetric power ARCH model is a recent addition to time series models that may be used for predicting volatility. Its performance is compared with that of standard models of conditional heteroskedasticity such as GARCH. This has previously been done empirically. In this paper the same issue...
Persistent link: https://www.econbiz.de/10005423779
Starting from a linear error correction model the stability and linearity of a German M1 moneyt demand function are investigated, applying smooth transition regression techniques. Using seasonally unadjusted data from 1961 (1) to 1990 (2) it is found that the money demand equation is both linear...
Persistent link: https://www.econbiz.de/10005423786
This paper analyzes the net barter terms of trade measured by the primary commodity price index relative to the index of unit values of export of manufactures from industrial countries. The starting-point is that the series is stationary but possibly nonlinear. Statistical tests indicate that...
Persistent link: https://www.econbiz.de/10005423802
This paper considers nine long Swedish macroeconomic time series whose business cycle properties were discussed by Englund, Persson, and Svensson (1992) using frequency domain techniques. It is found by testing that all but two of the logarithmed and difference series are non-linear. The...
Persistent link: https://www.econbiz.de/10005423876
. These include high kurtosis and a rather low-starting and slowly decaying autocorrelation function of the squared or … absolute-valued observations raised to a positive power. These results make it possible to consider kurtosis …
Persistent link: https://www.econbiz.de/10005423881
Lagrange multiplier (LM) test statistics are derived for testing a linear moving average model against an asymmetric moving average model and an LM type test against an additive smooth transition moving average model. The latter model is introduced in the paper. The small sample performance of...
Persistent link: https://www.econbiz.de/10005424043
variance using models that respond nonlinearly or asymmetrically to shocks. We investigate the implications of these models on … of the conditional mean is found to be of greater importance than the properties of the conditional variance. Several …
Persistent link: https://www.econbiz.de/10005440080
In this paper we propose a general method for testing the Granger noncausality hypothesis in stationary nonlinear models of unknown functional form. These tests are based on a Taylor expansion of the nonlinear model around a given point in a sample space. We study the performance of our tests by...
Persistent link: https://www.econbiz.de/10005207185
Changes in the seasonal patterns of macroeconomic time series may be due to the effects of business cycle fluctuations or to technological and institutional change or both. We examine the relative importance of these two sources of change in seasonality for quarterly industrial production series...
Persistent link: https://www.econbiz.de/10005207194
Lagrange multiplier (LM) test statistics are derived for testing a linear moving average model against an asymmetric moving average model and an LM type test against an additive smooth transition moving average model. The latter model is introduced in the paper. The small sample performance of...
Persistent link: https://www.econbiz.de/10005190846