• Media type: E-Book
  • Title: A Multifractal Model of Assets Returns
  • Contributor: Calvet, Laurent E. [Author]; Fisher, Adlai J. [Other]
  • Published: [S.l.]: SSRN, [2013]
  • Published in: NYU Working Paper ; No. FIN-99-072
  • Extent: 1 Online-Ressource (56 p)
  • Language: Not determined
  • Origination:
  • Footnote: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments November 1999 erstellt
  • Description: This paper investigates the Multifractal Model of Asset Returns, a continuous-time process that incorporates the thick tails and volatility persistence exhibited by many financial time series. The model is constructed by compounding a Brownian Motion with a multifractal time-deformation process. Return moments scale as a power law of the time horizon, a property confirmed for Deutschemark / U.S. Dollar exchange rates and several equity series. The model implies semi-martingale prices and thus precludes arbitrage in a standard two-asset economy. Volatility has long-memory, and the highest finite moment of returns can have any value greater than two. The local variability of the process is characterized by a renormalized probability density of local Houml;lder exponents. Unlike standard models, multifractal paths contain a multiplicity of these exponents within any time interval. We develop an estimation method, and infer a parsimonious generating mechanism for the exchange rate series. Simulated samples replicate the moment-scaling found in the data
  • Access State: Open Access