A multivariate multifractal model for return fluctuations
E. Bacry, J. Delour, J. F. Muzy
Abstract
In this paper we briefly review the recently inrtroduced Multifractal Random Walk (MRW) that is able to reproduce most of recent empirical findings concerning financial time-series : no correlation between price variations, long-range volatility correlations and multifractal statistics. We then focus on its extension to a multivariate context in order to model portfolio behavior. Empirical estimations on real data suggest that this approach can be pertinent to account for the nature of both linear and non-linear correlation between stock returns at all time scales.
Create a lesson
Related papers
Solvable macroscopic models for populations of type I excitability neurons with Gaussian noise
Maria V. Ageeva, Denis S. Goldobin
Electrical conductivity of a two-dimensional two-component medium: discretization and effective medium approximation
Yuri Yu. Tarasevich
Percolation of discorectangles oriented predominantly along two mutually perpendicular directions
Yuri Yu. Tarasevich
Langmuir kinetics and totally asymmetric volume exclusion in linear chains via Fock space formalism
Luis D. S. Silva, Arthur M. S. Carvalho, Francisco A. G. Almeida et al.
Dynamically Reentrant Skyrmion Phase in Oscillating Magnetic Fields
Z. Demir Vatansever, E. Vatansever, A. Vasilopoulos et al.
Mutual linearity in semi-Markov networks
Julian B. Voits, Ulrich S. Schwarz