Name: Nicolas COEURDACIER (Sciences Po) “Land Use and Climate Change: Evidence from France (1950-2020)” “
Start: 2025-05-05T12:15:00+02:00
End: 2025-05-05T13:30:00+02:00

CREST Working Papers Series No. 2021-06

by Andrea Fronzetti Colladon, Stefano Grassi, Francesco Ravazollo and Francesco Violante

Working Papers

Workshop #ICLR 2025 Frontiers in Probabilistic Inference: Sampling Meets Learning

Petit déjeuner DATA & IA : Mieux quantifier et anticiper le risque cyber

Anqi LI (University of Waterloo) – Career Concerns with Costly Agent Assessment and Misspecified Learning. This is joint work with Federico Echenique

Nicolas COEURDACIER (Sciences Po) “Land Use and Climate Change: Evidence from France (1950-2020)” “

Finance

Estimating dynamic systemic risk measures

Inference on Multiplicative Component GARCH without any Small-Order Moment

Local Asymptotic Normality of General Conditionally Heteroskedastic and Score-Driven Time-Series Models

Iterated Function Systems driven by non independent sequences: structure and inference

Forecasting Financial Markets with Semantic Network Analysis in the COVID—19 Crisis

Asset Pricing Using Block-Cholesky GARCH and Time-Varying Betas

Uncertainty on the Reproduction Ratio in the SIR Model

Conditional asymmetry in ARCH(8) models

Time Varying Markov Process with Partially Observed Aggregate Data; An Application to Coronavirus

Affine Modeling of Credit Risk, Pricing of Credit Events and Contagion

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