Showing 1 - 10 of 22
We introduce a new type of demand system using a feedforward artificial neural network. The neural network demand system is a flexible system that requires few hypotheses, has no roots in consumer theory but may be used to test it. We use the system to estimate demand elasticities on micro data...
Persistent link: https://www.econbiz.de/10011026086
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
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
We propose a novel methodology for forecasting chaotic systems which is based on exploiting the information conveyed by …
Persistent link: https://www.econbiz.de/10010603652