DocumentCode :
3632202
Title :
Empirical formulas for economic fluctuations: Towards a new justification
Author :
Tanja Magoc;Vladik Kreinovich
Author_Institution :
Department of Computer Science, University of Texas at El Paso, 500 W. University, 89968, USA
fYear :
2009
Firstpage :
1
Lastpage :
5
Abstract :
To avoid crisis developments, it is important to make financial decisions based on the models which correct predict the probabilities of large-scale economic fluctuations. At present, however, most financial decisions are based on Gaussian random-walk models, models which are known to underestimate the probability of such fluctuations. There exist better empirical models for describing these probabilities, but economists are reluctant to use them since these empirical models lack convincing theoretical explanations. To enhance financial stability and avoid crisis situations, it is therefore important to provide theoretical justification for these (more) accurate empirical models. Such a justification is provided in this paper.
Keywords :
"Fluctuations","Economic forecasting","Power generation economics","Fractals","Predictive models","Probability density function","Large-scale systems","Performance analysis","Information processing","Econophysics"
Publisher :
ieee
Conference_Titel :
Fuzzy Information Processing Society, 2009. NAFIPS 2009. Annual Meeting of the North American
Print_ISBN :
978-1-4244-4575-2
Type :
conf
DOI :
10.1109/NAFIPS.2009.5156461
Filename :
5156461
Link To Document :
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