The skewed multifractal random walk with applications to option smiles
Benoit Pochard and
Jean-Philippe Bouchaud
Additional contact information
Benoit Pochard: Centre de mathematiques appliquees, Ecole Polytechnique, Palaiseau, FRANCE
Jean-Philippe Bouchaud: Science & Finance, Capital Fund Management
No 204047, Science & Finance (CFM) working paper archive from Science & Finance, Capital Fund Management
Abstract:
We generalize the construction of the multifractal random walk (MRW) due to Bacry, Delour and Muzy to take into account the asymmetric character of the financial returns. We show how one can include in this class of models the observed correlation between past returns and future volatilities, in such a way that the scale invariance properties of the MRW are preserved. We compute the leading behaviour of q-moments of the process, that behave as power-laws of the time lag with an exponent zeta_q=p-2p(p-1) lambda^2 for even q=2p, as in the symmetric MRW, and as zeta_q=p(1-2p lambda^2)+1-alpha (q=2p+1), where lambda and alpha are parameters. We show that this extended model reproduces the `HARCH' effect or `causal cascade' reported by some authors. We illustrate the usefulness of this skewed MRW by computing the resulting shape of the volatility smiles generated by such a process, that we compare to approximate cumulant expansions formulas for the implied volatility. A large variety of smile surfaces can be reproduced.
JEL-codes: G1 G12 (search for similar items in EconPapers)
Date: 2002-04
New Economics Papers: this item is included in nep-ets, nep-fin and nep-rmg
References: Add references at CitEc
Citations: View citations in EconPapers (14)
Forthcoming
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:sfi:sfiwpa:0204047
Access Statistics for this paper
More papers in Science & Finance (CFM) working paper archive from Science & Finance, Capital Fund Management 6 boulevard Haussmann, 75009 Paris, FRANCE. Contact information at EDIRC.
Bibliographic data for series maintained by ().