Showing 1 - 10 of 21
The main purpose of this paper is to consider the multivariate GARCH (MGARCH) framework to model the volatility of a multivariate process exhibiting long term dependence in stock returns. More precisely, the long term dependence is examined in the …first conditional moment of US stock returns...
Persistent link: https://www.econbiz.de/10009644795
Researchers in finance very often rely on highly persistent - nearly integrated - explanatory variables to predict returns. This paper proposes to stand up to the usual problem of persistent regressor bias, by detrending the highly auto-correlated predictors. We find that the statistical...
Persistent link: https://www.econbiz.de/10010605314
This paper presents a 2-regime SETAR model with different long-memory processes in both regimes. We briefly present the memory properties of this model and propose an estimation method. Such a process is applied to the absolute and squared returns of five stock indices. A comparison with simple...
Persistent link: https://www.econbiz.de/10010750892
overfitting in-sample for better and more stable forecasting performance out-of-sample we show that fundamentals from the PPP … forecasting horizons. …
Persistent link: https://www.econbiz.de/10010899931
An econometric model which has first been estimated on medal wins at Summer Olympics and has predicted 88% of medal distribution at Beijing Games 2008, is revisited for Winter Olympics. After changing some variables to take into account the winter sports specificity, the model is estimated again...
Persistent link: https://www.econbiz.de/10011025665
Business surveys are an important element in the analysis of the short-term economic situation because of the timeliness and nature of the information they convey. Especially, surveys are often involved in econometric models in order to provide an early assessment of the current state of the...
Persistent link: https://www.econbiz.de/10010738446
In this article, we specify the different approaches followed by the economists and the financial economists in order to use chaos theory. We explain the main difference using this theory with other research domains like the mathematics and the physics. Finally, we present tools necessary for...
Persistent link: https://www.econbiz.de/10010738474
This papier formalizes the process of forecasting unbalanced monthly data sets in order to obtain robust nowcasts and …
Persistent link: https://www.econbiz.de/10010738546
This paper focuses on the use of dynamical chaotic systems in Economics and Finance. In these fields, researchers employ different methods from those taken by mathematicians and physicists. We discuss this point. Then, we present statistical tools and problems which are innovative and can be...
Persistent link: https://www.econbiz.de/10010738625
We propose a nouvel methodology for forecasting chaotic systems which uses information on local Lyapunov exponents … focal value of zero, which traditionally distinguishes order from chaos, plays no role whatsoever when forecasting …
Persistent link: https://www.econbiz.de/10010603644