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20212026
most citedESG Reputation Risk Matters: An Event Study Based on Social Media Data

6 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME2026

Directional Dependence of Extreme Events

Matthieu Garcin, Maxime L. D. Nicolas

This paper introduces a novel measure to quantify the directional dependence of extreme events between two variables. The proposed approach is designed to capture asymmetric tail d…

econ.GN2026

Is Bitcoin A Hedge Against Central Banking? Evidence from AI-Driven Monetary Policy Expectations

Maxime L. D. Nicolas, François Sicard, Marion Laboure +2

This study investigates the transmission of monetary policy narratives to Bitcoin prices, distinguishing policy expectations from realized policy implementation. We introduce a wee…

q-fin.PM2024

Modern Portfolio Diversification with Arte-Blue Chip Index

Simon Levy, Maxime L. D. Nicolas

This paper presents a novel approach to evaluating blue-chip art as a viable asset class for portfolio diversification. We present the Arte-Blue Chip Index, an index that tracks 10…

econ.GN2023★ 6 cited

ESG Reputation Risk Matters: An Event Study Based on Social Media Data

Maxime L. D. Nicolas, Adrien Desroziers, Fabio Caccioli +1

We investigate the response of shareholders to Environmental, Social, and Governance-related reputational risk (ESG-risk), focusing exclusively on the impact of social media. Using…

stat.ME2021

Nonparametric estimator of the tail dependence coefficient: balancing bias and variance

Matthieu Garcin, Maxime L. D. Nicolas

A theoretical expression is derived for the mean squared error of a nonparametric estimator of the tail dependence coefficient, depending on a threshold that defines which rank del…