A. Galvão
Economics and Econometrics · with Clements · 2008–2019
A researcher in the Science corpus: 3 papers; trusts 27 researchers and is trusted by 20 researchers here, as inferred from the citation graph.
Subfields
- Economics and Econometrics — 37 citations into it; #3,830 of 23,481 by trust here, #9,444 by citations
- Finance — 27 citations into it; #5,163 of 10,518 by trust here, #6,960 by citations
- Management Science and Operations Research — 12 citations into it
Whom A. Galvão trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ken West
- Athanasios Orphanides
- Halbert White
- Eric Ghysels
- Torben G. Andersen
- Todd E. Clark
- Michael P. Clements
- Ole E. Barndorff-Nielsen
- D. Croushore
- P. R. Hansen
Who trusts A. Galvão overall
- Massimiliano Marcellino
- Claudia Foroni
- Pierre Guérin
- Yoshimasa Uematsu
- Yue‐Jun Zhang
- M. Nieto
- Filip Žikeš
- Michelle T. Armesto
- Pilar Abad
- Jin-li Wang
Papers from A. Galvão's perspective
Ordered by how strongly the researchers A. Galvão trusts endorse each paper. Same corpus, a different order for every researcher.
- Separating Microstructure Noise from Volatility
- Asymptotic Inference about Predictive Ability
- A Reality Check for Data Snooping
- Realized Variance and Market Microstructure Noise
- Roughing It Up: Including Jump Components in the Measurement, Modeling, and Forecasting of Return Volatility (Review of Economics and Statistics)
- Forecasting S&P 100 volatility: the incremental information content of implied volatilities and high frequency index returns
- A real-time data set for macroeconomists
- Real-Time Forecasting of GDP Based on a Large Factor Model with Monthly and Quarterly Data (Social Science Research Network)
- Monetary policy rules based on real-time data
- Evaluating Direct Multistep Forecasts
Their papers
- Macroeconomic Forecasting With Mixed-Frequency Data (2008) — 402 citations
- Quantile forecasts of daily exchange rate returns from forecasts of realized volatility (2008) — 127 citations
- Communicating uncertainty about facts, numbers and science (2019) — 358 citations