Showing 1 - 10 of 15
’ beliefs, in order to explore non-linearities and possible chaotic behaviour. The theoretical model contains an intrinsic non-linearity … that gives rise to a jerk differential equation, which is in principle capable of generating chaos. The model is …
Persistent link: https://www.econbiz.de/10009020093
The present complexity approach is based on two assumptions: A1: measurability of deviations of outcomes with respect to reference values; A2 : extension of A1 to multi-set analysis. Complexity is then defined in terms of multi-set deviation compared to single-set ones; an interpretation is...
Persistent link: https://www.econbiz.de/10005181604
This paper puts the original Reinhart-Rogoff dataset, made public by Herndon et al. (2013), to a formal econometric test to pin down debt threshold endogenously. We show that the nonlinear relation from debt to growth is not very robust. Taken with a pinch of salt, our results suggest, however,...
Persistent link: https://www.econbiz.de/10010659189
nonlinear relationship between debt and growth is very sensitive to modelling choices. We also show that when nonlinearity is …
Persistent link: https://www.econbiz.de/10010631772
This paper studies drivers of high-frequency (daily) dynamics of the South African rand vis-à-vis the dollar from January 2001 to July 2007. We find strong nonlinear effects of commodity prices, perceived country and emerging market risk premium and changes in the dollar-euro exchange rate on...
Persistent link: https://www.econbiz.de/10005000381
The paper advances the log-generalized gamma distribution as a suitable generator of conditional skewness. Based on the NYSE composite daily returns an asMA-asQGARCH model along with skewness dynamics is estimated. The results indicate a skewness that varies between sizeable negative skewness...
Persistent link: https://www.econbiz.de/10005765680
. In addition, business cycle nonlinearity is a prominent feature of many such series too. A forecaster can nowadays … we examine the forecasting performance of various models for seasonality and nonlinearity using quarterly industrial …
Persistent link: https://www.econbiz.de/10008570605
We compare the forecasting performance of linear autoregressive models, autoregressive models with structural breaks, self-exciting threshold autoregressive models, and Markov switching autoregressive models in terms of point, interval, and density forecasts for h-month growth rates of...
Persistent link: https://www.econbiz.de/10008570631
Nonlinear time series models have become fashionable tools to describe and forecast a variety of economic time series. A closer look at reported empirical studies, however, reveals that these models apparently fit well in-sample, but rarely show a substantial improvement in out-of-sample...
Persistent link: https://www.econbiz.de/10008584688
Outliers and nonlinearity may easily be mistaken. This paper uses Monte Carlo methods to examine and compare the …
Persistent link: https://www.econbiz.de/10008584751