no code implementations • 23 May 2024 • Oliver Linton, Raghavendra Rau, Patrick Baert, Peter Bossaerts, Jon Crowcroft, Gill Evans, Paul Ewart, Robert Foley, Nick Gay, Paul Kattuman, Fermin Moscoso del Prado Martin, Stefan Scholtes, Hamid Sabourian, Richard J. Smith
This paper critically evaluates the HESA (Higher Education Statistics Agency) Data Report for the Employer Justified Retirement Age (EJRA) Review Group at the University of Cambridge (Cambridge 2024), identifying significant methodological flaws and misinterpretations.
no code implementations • 10 Mar 2024 • Degui Li, Oliver Linton, Haoxuan Zhang
We propose a new estimator of high-dimensional spot volatility matrices satisfying a low-rank plus sparse structure from noisy and asynchronous high-frequency data collected for an ultra-large number of assets.
no code implementations • 3 Jul 2023 • Ruijun Bu, Degui Li, Oliver Linton, Hanchao Wang
In addition, we consider large spot volatility matrix estimation in time-varying factor models with observable risk factors and derive the uniform convergence property.
no code implementations • 24 Jun 2022 • Michael Vogt, Christopher Walsh, Oliver Linton
Models with interactive fixed effects are well studied in the low-dimensional case where the number of parameters to be estimated is small.
no code implementations • 16 Feb 2021 • Wei Huang, Oliver Linton, Zheng Zhang
We propose a general framework for the specification testing of continuous treatment effect models.