Faculty Digital Archive

Archive@NYU  >
Stern School of Business >
Finance Working Papers >

Please use this identifier to cite or link to this item: http://hdl.handle.net/2451/27223

Title: A Multifractal Model of Assets Returns
Authors: Calvet, Laurent
Fisher, Adlai
Keywords: Multifractal Model of Asset Returns
Compound Stochastic Process
Time Deformation
Scaling
Self-Similarity
Multifractal Spectrum
Stochastic Volatility
Issue Date: 10-Nov-1999
Series/Report no.: FIN-99-072
Abstract: 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 Hölder 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.
URI: http://hdl.handle.net/2451/27223
Appears in Collections:Finance Working Papers

Files in This Item:

File Description SizeFormat
wpa99072.pdf1.89 MBAdobe PDFView/Open

All items in Faculty Digital Archive are protected by copyright, with all rights reserved.

 

The contents of this archive are either in the public domain or subject to copyright. Please consult NYU's "Handbook for Use of Copyrighted Materials" (http://library.nyu.edu/copyright/copyright.html) for information on using material within the Faculty Digital Archive.
Valid XHTML 1.0 | CSS