• DocumentCode
    2904276
  • Title

    A Comparison of Multifractal Models for Assets Returns in Economic Perspective

  • Author

    Zhong, Jian ; Zhao, Xin

  • Author_Institution
    Coll. of Econ. & Bus. Adm., Chongqing Univ., Chongqing, China
  • fYear
    2011
  • fDate
    17-18 Oct. 2011
  • Firstpage
    320
  • Lastpage
    324
  • Abstract
    This paper compares multifractal models for assets returns from four aspects of economic perspective: ability of reproducing stylized facts, support of economic theory, accuracy of forecasting and explaining, mathematical elegancy and computational parsimony. All the multifractal models, according to their hypotheses and logic, can be classified into three categories, the representatives of which are MRW, MSM and SEMF respectively. Comparing with the models in classical finance, the multifractal models have better forecasting performance and more excellent ability to reproduce stylized facts. MRW has a little preponderance in reproducing stylized facts but fewer literature and empirical estimated method than MSM. MSM has more preponderance in dealing with multi-frequency asset returns than MRW. SEMF is better than MRW and MSM in four aspects of economic perspective but has the least literature and empirical estimated method than MSM or MRW. The SEMF and its extend models have extraordinary advantage and glamour for economists and are worth further research.
  • Keywords
    asset management; economics; assets returns; computational parsimony; economic perspective; mathematical elegancy; multifractal models; Biological system modeling; Computational modeling; Economics; Fluctuations; Fractals; Mathematical model; Predictive models; Economic Perspective; Multifractal Models for Assets Returns; Multifractality of Financial Time-series; Stylized Facts;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Business Intelligence and Financial Engineering (BIFE), 2011 Fourth International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4577-1541-9
  • Type

    conf

  • DOI
    10.1109/BIFE.2011.2
  • Filename
    6121148