activity
20222026
most citedLeveraging data from nearby stations to improve short-term wind speed forecasts

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

physics.ao-ph2026

Forecasting threshold exceedance of atmospheric variables at a specific location

Roberta Baggio, Jean-François Muzy

Accurate short-term forecasting of extreme weather events is important for early warning and risk mitigation. We compare two approaches for predicting site-specific threshold excee…

q-fin.ST2026

From rough to multifractal multidimensional volatility: A multidimensional Log S-fBM model

Othmane Zarhali, Emmanuel Bacry, Jean-François Muzy

We introduce the multivariate Log S-fBM model (mLog S-fBM), extending the univariate framework proposed by Wu \textit{et al.} to the multidimensional setting. We define the multidi…

q-fin.ST2023

Liquidity takers behavior representation through a contrastive learning approach

Ruihua Ruan, Emmanuel Bacry, Jean-François Muzy

Thanks to the access to the labeled orders on the CAC40 data from Euronext, we are able to analyze agents' behaviors in the market based on their placed orders. In this study, we c…

q-fin.TR2023

The self-exciting nature of the bid-ask spread dynamics

Ruihua Ruan, Emmanuel Bacry, Jean-François Muzy

The bid-ask spread, which is defined by the difference between the best selling price and the best buying price in a Limit Order Book at a given time, is a crucial factor in the an…

physics.ao-ph2022★ 1 cited

Leveraging data from nearby stations to improve short-term wind speed forecasts

Rachel Baïle, Jean-François Muzy

In this paper, we address the issue of short-term wind speed prediction at a given site. We show that, when one uses spatiotemporal information as provided by wind data of neighbor…