no code implementations • 22 Mar 2024 • Pierre Bousseyroux, Marc Potters
We explore a spectral initialization method that plays a central role in contemporary research on signal estimation in nonconvex scenarios.
no code implementations • 2 May 2022 • Jean-Philippe Bouchaud, Iacopo Mastromatteo, Marc Potters, Konstantin Tikhonov
Using Random Matrix Theory, we propose a universal and versatile tool to reveal the existence of "fleeting modes", i. e. portfolios that carry statistically significant excess risk, signalling ex-post a change in the correlation structure in the underlying asset space.
3 code implementations • 9 Aug 2000 • Marc Potters, Jean-Philippe Bouchaud, Dragan Sestovic
We propose a new `hedged' Monte-Carlo (HMC) method to price financial derivatives, which allows to determine simultaneously the optimal hedge.
cond-mat
no code implementations • 20 Oct 1998 • Laurent Laloux, Pierre Cizeau, Jean-Philippe Bouchaud, Marc Potters
We show that results from the theory of random matrices are potentially of great interest to understand the statistical structure of the empirical correlation matrices appearing in the study of price fluctuations.
cond-mat