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Economics and Finance

D-Index
52
Citations
17883
World Ranking
1231
National Ranking
740

Overview

Domenico Giannone is affiliated with the International Monetary Fund in the United States and has contributed extensively to the field of Economics, Econometrics, and Finance. Their research encompasses a variety of subfields, primarily focusing on Economics and Econometrics, General Economics, Finance, Management Science and Operations Research, as well as Instrumentation.

Their scholarly output includes numerous publications, with frequent appearances in venues such as the SSRN Electronic Journal, IMF Working Paper series, International Journal of Forecasting, arXiv (Cornell University), and Econometrica.

Key topics covered in their work include:

  • Monetary Policy and Economic Impact
  • Complex Systems and Time Series Analysis
  • Market Dynamics and Volatility
  • Economic theories and models
  • Banking stability, regulation, efficiency
  • Global Financial Crisis and Policies
  • Stock Market Forecasting Methods

Giannone's recent research papers illustrate the breadth of their focus with titles such as:

  • Economic Predictions With Big Data: The Illusion of Sparsity (2021, Econometrica)
  • Common factors of commodity prices (2021, Journal of Applied Econometrics)
  • Economic Predictions with Big Data: The Illusion of Sparsity (2021, SSRN Electronic Journal)
  • Scarce, Abundant, or Ample? A Time-Varying Model of the Reserve Demand Curve (2022, SSRN Electronic Journal)
  • Back to the present: Learning about the euro area through a now-casting model (2023, International Journal of Forecasting)

Frequent coauthors contributing to these collaborative efforts include:

  • Nina Boyarchenko
  • Tobias Adrian
  • Michèle Lenza
  • Giorgio E. Primiceri
  • Danilo Cascaldi-Garcia

This body of work positions Domenico Giannone within a network of researchers focused on advancing the understanding of monetary policy, economic forecasting models, and financial market dynamics. Their publications emphasize analytical approaches to large-scale economic data and methods for improving prediction accuracy through sophisticated econometric techniques.

Best Publications

  • Nowcasting: The real-time informational content of macroeconomic data

    Domenico Giannone;Lucrezia Reichlin;David Small

  • Prior selection for vector autoregressions

    Domenico Giannone;Domenico Giannone;Michele Lenza;Giorgio E. Primiceri

  • Large Bayesian vector auto regressions

    Marta Bańbura;Domenico Giannone;Lucrezia Reichlin;Lucrezia Reichlin

  • A quasi maximum likelihood approach for large approximate dynamic factor models

    Catherine Doz;Domenico Giannone;Lucrezia Reichlin

  • Now-casting and the real-time data flow

    Martha Banbura;Domenico Giannone;Michèle Modugno;Lucrezia Reichlin

  • A two-step estimator for large approximate dynamic factor models based on Kalman filtering

    Catherine Doz;Catherine Doz;Domenico Giannone;Domenico Giannone;Lucrezia Reichlin;Lucrezia Reichlin

  • Monetary Policy in Real Time

    Domenico Giannone;Lucrezia Reichlin;Luca Sala

  • Forecasting using a large number of predictors: Is Bayesian shrinkage a valid alternative to principal components?

    Christine De Mol;Domenico Giannone;Domenico Giannone;Domenico Giannone;Lucrezia Reichlin;Lucrezia Reichlin

  • Sparse and stable Markowitz portfolios

    Joshua Brodie;Ingrid Daubechies;Christine De Mol;Domenico Giannone

  • Vulnerable Growth

    Unknown

  • Opening the Black Box: Structural Factor Models with Large Cross-Sections

    Mario Forni;Domenico Giannone;Marco Lippi;Lucrezia Reichlin

  • Prior Selection for Vector Autoregressions

    Domenico Giannone;Domenico Giannone;Michele Lenza;Giorgio E. Primiceri

  • Macroeconomic forecasting and structural change

    Antonello A. D'Agostino;Luca Gambetti;Domenico Giannone;Domenico Giannone

  • The Financial and Macroeconomic Effects of OMT Announcements

    Carlo Altavilla;Domenico Giannone;Michele Lenza

  • Safety, Liquidity, and the Natural Rate of Interest

    Marco Del Negro;Domenico Giannone;Marc P. Giannoni;Andrea Tambalotti

  • Monetary Policy in Real Time

    Domenico Giannone;Domenico Giannone;Lucrezia Reichlin;Luca Sala

  • Short-term forecasts of euro area GDP growth

    Elena Angelini;Gonzalo Camba‐Mendez;Domenico Giannone;Domenico Giannone;Lucrezia Reichlin;Lucrezia Reichlin

  • Economic Predictions With Big Data: The Illusion of Sparsity

    Domenico Giannone;Domenico Giannone;Michele Lenza;Michele Lenza;Giorgio E. Primiceri;Giorgio E. Primiceri;Giorgio E. Primiceri

  • Business cycles in the euro area

    Domenico Giannone;Michele Lenza;Lucrezia Reichlin

  • Tracking Greenspan: Systematic and Unsystematic Monetary Policy Revisited

    Domenico Giannone;Lucrezia Reichlin;Luca Sala

  • Macroeconomic Nowcasting and Forecasting with Big Data

    Brandyn Bok;Daniele Caratelli;Domenico Giannone;Argia M. Sbordone

  • The ECB and the Interbank Market

    Domenico Giannone;Michele Lenza;Huw Pill;Lucrezia Reichlin

  • The ECB and the Interbank Market

    Domenico Giannone;Michele Lenza;Huw Pill;Lucrezia Reichlin

  • Nowcasting GDP and inflation: the real time informational content of macroeconomic data releases

    Domenico Giannone;Lucrezia Reichlin;David Small

  • Large Bayesian VARs

    Martha Banbura;Domenico Giannone;Lucrezia Reichlin

  • Nowcasting: the real time informational content of macroeconomic data releases

    Domenico Giannone;Lucrezia Reichlin;David Small

Frequent Co-Authors

Lucrezia Reichlin
Lucrezia Reichlin London Business School
Giorgio E. Primiceri
Giorgio E. Primiceri Northwestern University
Tobias Adrian
Tobias Adrian International Monetary Fund
Marc P. Giannoni
Marc P. Giannoni Barclays (United Kingdom)
Marco Del Negro
Marco Del Negro Federal Reserve Bank of New York
Mario Forni
Mario Forni University of Modena and Reggio Emilia
Paolo Surico
Paolo Surico London Business School
Ingrid Daubechies
Ingrid Daubechies Duke University
Riccardo Faini
Riccardo Faini Institute of Labor Economics
George Kapetanios
George Kapetanios King's College London

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