activity
20162023
most citedEigenvalue tests for the number of latent factors in short panels

10 citations · 12 across the 5 of their papers we have counts for

collaborators

8 papers

econ.EM2023

Latent Factor Analysis in Short Panels

Alain-Philippe Fortin, Patrick Gagliardini, Olivier Scaillet

We develop a pseudo maximum likelihood method for latent factor analysis in short panels without imposing sphericity nor Gaussianity. We derive an asymptotically uniformly most pow…

econ.EM2022★ 10 cited

Eigenvalue tests for the number of latent factors in short panels

Alain-Philippe Fortin, Patrick Gagliardini, Olivier Scaillet

This paper studies new tests for the number of latent factors in a large cross-sectional factor model with small time dimension. These tests are based on the eigenvalues of varianc…

q-fin.PM2020

Wealth Effect on Portfolio Allocation in Incomplete Markets

Chenxu Li, Olivier Scaillet, Yiwen Shen

We develop a novel five-component decomposition of optimal dynamic portfolio choice, which reveals the simultaneous impacts from market incompleteness and wealth-dependent utilitie…

stat.ME2020

A Higher-Order Correct Fast Moving-Average Bootstrap for Dependent Data

Davide La Vecchia, Alban Moor, Olivier Scaillet

We develop and implement a novel fast bootstrap for dependent data. Our scheme is based on the i.i.d. resampling of the smoothed moment indicators. We characterize the class of par…

q-fin.ST2017

High-Frequency Jump Analysis of the Bitcoin Market

Olivier Scaillet, Adrien Treccani, Christopher Trevisan

We use the database leak of Mt. Gox exchange to analyze the dynamics of the price of bitcoin from June 2011 to November 2013. This gives us a rare opportunity to study an emerging…

q-fin.ST2016

Predictability Hidden by Anomalous Observations

Lorenzo Camponovo, Olivier Scaillet, Fabio Trojani

Testing procedures for predictive regressions with lagged autoregressive variables imply a suboptimal inference in presence of small violations of ideal assumptions. We propose a n…

math.ST2016★ 2 cited

On ill-posedness of nonparametric instrumental variable regression with convexity constraints

Olivier Scaillet

This note shows that adding monotonicity or convexity constraints on the regression function does not restore well-posedness in nonparametric instrumental variable regression. The…

q-fin.ST2016

A diagnostic criterion for approximate factor structure

Patrick Gagliardini, Elisa Ossola, Olivier Scaillet

We build a simple diagnostic criterion for approximate factor structure in large cross-sectional equity datasets. Given a model for asset returns with observable factors, the crite…