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Extreme Risk and Fractal Regularity in Finance


Laurent E. Calvet


HEC Paris - Finance Department

Adlai J. Fisher


University of British Columbia - Sauder School of Business

August 8, 2012


Abstract:     
As the Great Financial Crisis reminds us, extreme movements in the level and volatility of asset prices are key features of financial markets. These phenomena are difficult to quantify using traditional models that specify extreme risk as a rare event. Multifractal analysis, whose use in finance has considerably expanded over the past fifteen years, reveals that price series observed at different time horizons exhibit several forms of scale invariance. Building on these regularities, researchers have developed a new class of multifractal processes that permit the extrapolation from high-frequency to low-frequency events and generate accurate forecasts of asset volatility. The new models provide a structured framework for studying the likely size and price impact of events that are more extreme than the ones historically observed.

Number of Pages in PDF File: 34

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Date posted: August 8, 2012  

Suggested Citation

Calvet, Laurent E. and Fisher, Adlai J., Extreme Risk and Fractal Regularity in Finance (August 8, 2012). Available at SSRN: http://ssrn.com/abstract=2126466 or http://dx.doi.org/10.2139/ssrn.2126466

Contact Information

Laurent E. Calvet (Contact Author)
HEC Paris (Groupe HEC) - Finance Department ( email )
1 rue de la Liberation
Jouy-en-Josas Cedex, 78351
France
HOME PAGE: http://www.hec.fr/calvet
Adlai J. Fisher
University of British Columbia (UBC) - Sauder School of Business ( email )
2053 Main Mall
Vancouver, BC V6T 1Z2
Canada
604-822-8331 (Phone)
604-822-4695 (Fax)
HOME PAGE: http://finance.sauder.ubc.ca/~fisher
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