• 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