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Fingerprint Dive into the research topics where Sean Telg is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

time series Social Sciences
oil price Social Sciences
simulation Earth & Environmental Sciences
selection procedure Social Sciences
industrial production Social Sciences
statistics Social Sciences
commodity Social Sciences
Autoregressive model Business & Economics

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Research Output 2016 2020

Mixed Causal-Noncausal Autoregressions with Exogenous Regressors

Hecq, A., Issler, J. V. & Telg, S., 20 Jan 2020, In : Journal of Applied Econometrics.

Research output: Contribution to JournalArticleAcademicpeer-review

selection procedure
industrial production
time series

Detecting Co-Movements in Non-Causal Time Series

Cubadda, G., Hecq, A. & Telg, S., 1 Jun 2019, In : Oxford Bulletin of Economics and Statistics. 81, 3, p. 697-715 19 p.

Research output: Contribution to JournalArticleAcademicpeer-review

Open Access
time series
Time series
oil price
Vector Autoregressive Process
Reduced Rank

A Residual Bootstrap for Conditional Expected Shortfall

Heinemann, A. & Telg, S., 26 Nov 2018, In : arXiv.org.

Research output: Contribution to JournalArticleProfessional

Expected shortfall
Bootstrap method
Simulation study
Two-step estimator

Do seasonal adjustments induce noncausal dynamics in inflation rates?

Hecq, A., Telg, S. & Lieb, L., 1 Dec 2017, In : Econometrics. 5, 4, 48.

Research output: Contribution to JournalArticleAcademicpeer-review

Open Access
Inflation rate
Seasonal adjustment
Monte Carlo simulation
G-7 countries

Simulation, Estimation and Selection of Mixed Causal-Noncausal Autoregressive Models: The MARX Package

Hecq, A., Lieb, L. & Telg, S., Aug 2017, In : SSRN Electronic Journal.

Research output: Contribution to JournalArticleAcademic

time series