The Multi-Fractal Model of Asset Returns: Simple Moment and GMM Estimation
AbstractMulti-fractal processes have been proposed as a new formalism for modelling the time series of returns in finance. The major attraction of these processes is their capability of generating various degrees of long-memory in different powers of returns - a feature that has been found to characterise virtually all financial prices. Furthermore, elementary variants of multi-fractal models are very parsimonious formalisations as they are essentially one-parameter families of stochastic processes. The aim of this paper is to provide a first assessment of the goodness-of-fit of this new class of models by applying them to four long time series from different financial markets (one exchange rate, two stock market indices and the price of gold). To this end, we complement the heuristic estimation methods from statistical physics by developing a GMM (Generalised Method of Moment) estimator for the Binomial and Lognormal multifractal models. Our results are very encouraging in that the estimated models provide an astonishingly good fit to the unconditional distribution of the data. Applying Hansen's test, we are, in fact, unable in three out of four cases to reject the multi-fractal model.
Download InfoTo our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
Bibliographic InfoPaper provided by Society for Computational Economics in its series Computing in Economics and Finance 2001 with number 62.
Date of creation: 01 Apr 2001
Date of revision:
Contact details of provider:
Web page: http://www.econometricsociety.org/conference/SCE2001/SCE2001.html
More information through EDIRC
multi-fractality; long-range dependence; Hñlder spectrum;
Find related papers by JEL classification:
- C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
- G12 - Financial Economics - - General Financial Markets - - - Asset Pricing
This paper has been announced in the following NEP Reports:
- NEP-ALL-2001-05-02 (All new papers)
- NEP-ECM-2001-05-02 (Econometrics)
- NEP-FIN-2001-05-02 (Finance)
- NEP-FMK-2001-05-02 (Financial Markets)
- NEP-IFN-2001-05-02 (International Finance)
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Laurent Calvet & Adlai Fisher, 2003.
"Regime-Switching and the Estimation of Multifractal Processes,"
NBER Working Papers
9839, National Bureau of Economic Research, Inc.
- Laurent Calvet & Adlai Fisher, 2003. "Regime-Switching and the Estimation of Multifractal Processes," Harvard Institute of Economic Research Working Papers 1999, Harvard - Institute of Economic Research.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher F. Baum).
If references are entirely missing, you can add them using this form.