← All authors Luca Trapin University of Bologna (from arXiv:2502.04112, 2025) · ORCID · OpenAlex
20 papers in scope · 18 published · 2 on the econ.EM arXiv · 298 citations · h-index 9 (over the papers listed here)
Related authors The 20 authors closest to this one in our weighted citation graph, most related first.
Rong Chen Yuefeng Han Xiao Han Ruofan Yu Elynn Chen Mark Podolskij Cun-Hui Zhang Kim Christensen Ji Hyung Lee Ercument Cahan Dan Yang Matteo Barigozzi Markus Pelger Zhentao Shi Qiwei Yao Matteo Luciani Jinyuan Chang Elynn Chen Ke Xu Jiayu Li Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md .
Papers Show only papers in our arXiv econ.EM corpus (2 of 20)
working paper 2025 · arXiv
Modeling panels of extremes
published 2023 · The Annals of Applied Statistics · 7 citations · first circulated 2022
with Debbie J. Dupuis, Sebastian Engelke
working paper 2023 · arXiv · 1 citations
Testing liquidity: A statistical theory based on asset staleness
published 2022 · Econometrics and Statistics · 3 citations
with Davide Pirino, Alessandro Pollastri
Testing a parameter restriction on the boundary for the g-and-h distribution: a simulated approach
published 2021 · Computational Statistics · 1 citations
Estimating large losses in insurance analytics and operational risk using the g-and-h distribution
published 2021 · Quantitative Finance · 12 citations · first circulated 2019
Managing liquidity with portfolio staleness
published 2020 · Decisions in Economics and Finance · 7 citations
Estimating Value-at-Risk for the g-and-h distribution: an indirect inference approach
published 2019 · Quantitative Finance · 6 citations · first circulated 2018
Realized Peaks over Threshold: A Time-Varying Extreme Value Approach with High-Frequency-Based Measures*
published 2019 · Journal of Financial Econometrics · 33 citations
with Marco Bee, Debbie J. Dupuis
Measuring the propagation of financial distress with Granger-causality tail risk networks
published 2018 · Journal of Financial Stability · 95 citations
Estimating and Forecasting Conditional Risk Measures with Extreme Value Theory: A Review
published 2018 · Risks · 16 citations
with Marco Bee
Realized extreme quantile: A joint model for conditional quantiles and measures of volatility with EVT refinements
published 2018 · Journal of Applied Econometrics · 11 citations
with Marco Bee, Debbie J. Dupuis
Can Volatility Models Explain Extreme Events?*
published 2017 · Journal of Financial Econometrics · 25 citations
A characteristic function-based approach to approximate maximum likelihood estimation
published 2017 · Communication in Statistics-Theory and Methods · 5 citations
with Marco Bee
An extreme value analysis of the last century crises across industries in the U.S. economy
published 2017 · Journal of Economic Dynamics and Control · 3 citations · first circulated 2016
US stock returns: are there seasons of excesses?
published 2016 · Quantitative Finance · 3 citations
with Marco Bee, Debbie J. Dupuis
A simple approach to the estimation of Tukey's gh distribution
published 2016 · Journal of Statistical Computation and Simulation · 12 citations
with Marco Bee
Realizing the extremes: Estimation of tail-risk measures from a high-frequency perspective
published 2016 · Journal of Empirical Finance · 42 citations
with Marco Bee, Debbie J. Dupuis
Realized peaks over threshold: A high-frequency extreme value approach for financial time series
published 2015 · Les Cahiers du GERAD · 2 citations
with Marco Bee, Debbie J. Dupuis
no link
Cluster Analysis of Weighted Bipartite Networks: A New Copula-Based Approach
published 2014 · PLoS ONE · 14 citations
Assembled from arXiv and OpenAlex. Duplicate records for the same paper are merged, and the published version is shown where we could identify one. Corrections welcome.
Built from arXiv and OpenAlex. Supported by UKRI grant APP47921 (Martin Weidner, UCL · Francis J. DiTraglia, Oxford).