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Ivan Petrella

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Henrik Jensen & Ivan Petrella & Søren Hove Ravn & Emiliano Santoro, 2017. "Leverage and deepening business cycle skewness," Working Papers 1732, Banco de España.

    Mentioned in:

    1. Leverage and deepening business cycle skewness
      by Christian Zimmermann in NEP-DGE blog on 2017-10-17 05:29:42

    Mentioned in:

    1. Leverage and Deepening Business Cycle Skewness
      by Christian Zimmermann in NEP-DGE blog on 2019-05-13 13:27:44

RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography of Economics:
  1. Luciana Juvenal & Ivan Petrella, 2015. "Speculation in the Oil Market," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(4), pages 621-649, June.

    Mentioned in:

    1. > Econometrics > Time Series Models > Dynamic Factor Models > Structural Factor Models
  2. Juan Antolin-Diaz & Thomas Drechsel & Ivan Petrella, 2017. "Tracking the Slowdown in Long-Run GDP Growth," The Review of Economics and Statistics, MIT Press, vol. 99(2), pages 343-356, May.

    Mentioned in:

    1. > Econometrics > Forecasting > Nowcasting

Working papers

  1. Mr. Christian Bogmans & Mr. Andrea Pescatori & Ivan Petrella & Ervin Prifti & Martin Stuermer, 2024. "The Power of Prices: How Fast Do Commodity Markets Adjust to Shocks?," IMF Working Papers 2024/077, International Monetary Fund.

    Cited by:

    1. Lukasz Chmielewski, 2024. "Volatility of Rapeseed and Oil Prices Amid War in Ukraine," European Research Studies Journal, European Research Studies Journal, vol. 0(2), pages 47-66.

  2. Juvenal, Luciana & Petrella, Ivan, 2023. "Unveiling the Dance of Commodity Prices and the Global Financial Cycle," CEPR Discussion Papers 18437, C.E.P.R. Discussion Papers.

    Cited by:

    1. Morão, Hugo, 2024. "The impact of carbon policy news on the national energy industry," Energy Economics, Elsevier, vol. 134(C).
    2. Efrem Castelnuovo & Lorenzo Mori & Gert Peersman, 2024. "Commodity Price Shocks and Global Cycles: Monetary Policy Matters," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 24/1087, Ghent University, Faculty of Economics and Business Administration.
    3. Yan, Zichun & Wu, Chaonan & Zhang, Jingjia & Wang, Zehan & Lađevac, Ivona, 2024. "Asymmetric impact of energy prices on financial cycles based on interval time series modeling," International Review of Financial Analysis, Elsevier, vol. 96(PA).

  3. Antolin-Diaz, Juan & Drechsel, Thomas & Petrella, Ivan, 2023. "Advances in Nowcasting Economic Activity: The Role of Heterogeneous Dynamics and Fat Tails," CEPR Discussion Papers 17800, C.E.P.R. Discussion Papers.

    Cited by:

    1. Florian Eckert & Philipp Kronenberg & Heiner Mikosch & Stefan Neuwirth, 2025. "Tracking Economic Activity With Alternative High‐Frequency Data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 40(3), pages 270-290, April.
    2. Maximo Camacho & Salvador Ramallo & Manuel Ruiz, 2024. "A New Approach to Forecasting the Probability of Recessions after the COVID‐19 Pandemic," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 86(4), pages 833-855, August.
    3. Labonne, Paul, 2025. "Asymmetric uncertainty: Nowcasting using skewness in real-time data," International Journal of Forecasting, Elsevier, vol. 41(1), pages 229-250.
    4. De Polis, Andrea & Melosi, Leonardo & Petrella, Ivan, 2024. "The Taming of the Skew : Asymmetric Inflation Risk and Monetary Policy," The Warwick Economics Research Paper Series (TWERPS) 1530, University of Warwick, Department of Economics.
    5. Nicolò Maffei‐Faccioli, 2025. "Identifying the Sources of the Slowdown in Growth: Demand Versus Supply," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 40(2), pages 181-194, March.

  4. Garratt, Anthony & Petrella, Ivan & Zhang, Yunyi, 2022. "Asymmetry and Interdependence when Evaluating U.S. Energy Information Administration Forecasts," MPRA Paper 115559, University Library of Munich, Germany.

    Cited by:

    1. Wang, Lu & Zhao, Yanan & Zhichun, Liu & Liu, Wei & Long, Rui, 2024. "Deep learning-assisted prediction and profiled membrane microstructure inverse design for reverse electrodialysis," Energy, Elsevier, vol. 312(C).

  5. Di Pace, Federico & Juvenal, Luciana & Petrella, Ivan, 2021. "Terms-of-trade shocks are not all alike," Bank of England working papers 901, Bank of England.

    Cited by:

    1. Giulia Bettin & Amadou Jallow & Alberto Zazzaro, 2023. "How Do Monthly Remittances Respond To Natural Disasters In Migrants' Home Countries?," Mo.Fi.R. Working Papers 179, Money and Finance Research group (Mo.Fi.R.) - Univ. Politecnica Marche - Dept. Economic and Social Sciences.
    2. Dainauskas, Justas, 2023. "Time-varying exchange rate pass-through into terms of trade," LSE Research Online Documents on Economics 120000, London School of Economics and Political Science, LSE Library.
    3. Juvenal, Luciana & Petrella, Ivan, 2023. "Unveiling the Dance of Commodity Prices and the Global Financial Cycle," CEPR Discussion Papers 18437, C.E.P.R. Discussion Papers.
    4. Arroyo Marioli,Francisco & Fatás,Antonio & Vasishtha,Garima, 2023. "Fiscal Policy Volatility and Growth in Emerging Markets and Developing Economies," Policy Research Working Paper Series 10409, The World Bank.
    5. Dainauskas, Justas, 2023. "Time-varying exchange rate pass-through into terms of trade," Journal of International Money and Finance, Elsevier, vol. 137(C).
    6. Jasmien De Winne & Gert Peersman, 2021. "The Adverse Consequences Of Global Harvest And Weather Disruptions On Economic Activity," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 21/1012, Ghent University, Faculty of Economics and Business Administration.
    7. Gnangnon, Sèna Kimm, 2022. "Effect of structural economic vulnerability on the participation in international trade," EconStor Preprints 262004, ZBW - Leibniz Information Centre for Economics.
    8. Elguellab, Ali & Ezzahid, Elhadj, 2023. "Dissecting the Moroccan business cycle: A trade-based identification of agricultural supply shocks," Economic Modelling, Elsevier, vol. 129(C).
    9. Lubomír Civín & Luboš Smutka, 2020. "Vulnerability of European Union Economies in Agro Trade," Sustainability, MDPI, vol. 12(12), pages 1-33, June.
    10. Baffes, John & Kabundi, Alain, 2023. "Commodity price shocks: Order within chaos?," Resources Policy, Elsevier, vol. 83(C).
    11. Naraidoo, Ruthira & Paez-Farrell, Juan, 2023. "Commodity price shocks, labour market dynamics and monetary policy in small open economies," Journal of Economic Dynamics and Control, Elsevier, vol. 151(C).
    12. Pym Manopimoke & Nuwat Nookhwun & Jettawat Pattararangrong, 2024. "Exchange Rate in Emerging Markets: Shock Absorber or Source of Shock?," PIER Discussion Papers 220, Puey Ungphakorn Institute for Economic Research.
    13. Juvenal, Luciana & Petrella, Ivan, 2024. "Reprint of “Unveiling the dance of commodity prices and the global financial cycle”," Journal of International Economics, Elsevier, vol. 149(C).
    14. Jacho, Domenica & Cruz, Zoe & Carrillo-Maldonado, Paul, 2024. "Effect of terms of trade on the Latin American Labor market," International Economics, Elsevier, vol. 180(C).
    15. Razek, Noha H.A. & McQuinn, Brian, 2021. "Saudi Arabia's currency misalignment and international competitiveness, accounting for geopolitical risks and the super-contango oil market," Resources Policy, Elsevier, vol. 72(C).
    16. Yépez, Carlos & Dzikpe, Francis, 2022. "Accounting for real exchange rates in emerging economies: The role of commodity prices," International Review of Economics & Finance, Elsevier, vol. 79(C), pages 476-492.

  6. Petrella, Ivan & Antolin-Diaz, Juan & Drechsel, Thomas, 2021. "Advances in Nowcasting Economic Activity: Secular Trends, Large Shocks and New Data," CEPR Discussion Papers 15926, C.E.P.R. Discussion Papers.

    Cited by:

    1. Jack Fosten & Daniel Gutknecht & Marc-Oliver Pohle, 2023. "Testing Quantile Forecast Optimality," Papers 2302.02747, arXiv.org, revised Oct 2023.
    2. Bańbura, Marta & Belousova, Irina & Bodnár, Katalin & Tóth, Máté Barnabás, 2023. "Nowcasting employment in the euro area," Working Paper Series 2815, European Central Bank.
    3. Frank Schorfheide & Dongho Song, 2020. "Real-Time Forecasting with a (Standard) Mixed-Frequency VAR During a Pandemic," PIER Working Paper Archive 20-039, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    4. Longo, Luigi & Riccaboni, Massimo & Rungi, Armando, 2022. "A neural network ensemble approach for GDP forecasting," Journal of Economic Dynamics and Control, Elsevier, vol. 134(C).
    5. Valentina Aprigliano & Alessandro Borin & Francesco Paolo Conteduca & Simone Emiliozzi & Marco Flaccadoro & Sabina Marchetti & Stefania Villa, 2021. "Forecasting Italian GDP growth with epidemiological data," Questioni di Economia e Finanza (Occasional Papers) 664, Bank of Italy, Economic Research and International Relations Area.
    6. Cristea, R. G., 2020. "Can Alternative Data Improve the Accuracy of Dynamic Factor Model Nowcasts?," Cambridge Working Papers in Economics 20108, Faculty of Economics, University of Cambridge.
    7. Carriero, Andrea & Clark, Todd E. & Marcellino, Massimiliano & Mertens, Elmar, 2022. "Addressing COVID-19 outliers in BVARs with stochastic volatility," Discussion Papers 13/2022, Deutsche Bundesbank.
    8. Mertens, Elmar, 2023. "Precision-based sampling for state space models that have no measurement error," Discussion Papers 25/2023, Deutsche Bundesbank.
    9. Clark, Todd E. & Ganics, Gergely & Mertens, Elmar, 2024. "Constructing fan charts from the ragged edge of SPF forecasts," Discussion Papers 38/2024, Deutsche Bundesbank.
    10. Bhattacharjee, Arnab & Kohns, David, 2022. "Nowcasting Growth using Google Trends Data: A Bayesian Structural Time Series Model," National Institute of Economic and Social Research (NIESR) Discussion Papers 538, National Institute of Economic and Social Research.
    11. Danilo Cascaldi-Garcia, 2022. "Pandemic Priors," International Finance Discussion Papers 1352, Board of Governors of the Federal Reserve System (U.S.).
    12. Martin, Ertl & Fortin, Ines & Hlouskova, Jaroslava & Koch, Sebastian P. & Kunst, Robert M. & Soegner, Leopold, 2024. "Inflation Forecasting in Turbulent Times," IHS Working Paper Series 56, Institute for Advanced Studies.
      • Martin Ertl & Ines Fortin & Jaroslava Hlouskova & Sebastian P. Koch & Robert M. Kunst & Leopold Sögner, 2025. "Inflation forecasting in turbulent times," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 52(1), pages 5-37, February.
    13. Danilo Cascaldi-Garcia & Thiago Revil T. Ferreira & Domenico Giannone & Michele Modugno, 2021. "Back to the Present: Learning about the Euro Area through a Now-casting Model," International Finance Discussion Papers 1313, Board of Governors of the Federal Reserve System (U.S.).
    14. Daniel Hopp, 2021. "Economic Nowcasting with Long Short-Term Memory Artificial Neural Networks (LSTM)," Papers 2106.08901, arXiv.org.
    15. Iacopini, Matteo & Poon, Aubrey & Rossini, Luca & Zhu, Dan, 2023. "Bayesian mixed-frequency quantile vector autoregression: Eliciting tail risks of monthly US GDP," Journal of Economic Dynamics and Control, Elsevier, vol. 157(C).
    16. Franky Juliano Galeano-Ramírez & Nicolás Martínez-Cortés & Carlos D. Rojas-Martínez, 2021. "Nowcasting Colombian Economic Activity: DFM and Factor-MIDAS approaches," Borradores de Economia 1168, Banco de la Republica de Colombia.
    17. Chan, Joshua C.C. & Poon, Aubrey & Zhu, Dan, 2023. "High-dimensional conditionally Gaussian state space models with missing data," Journal of Econometrics, Elsevier, vol. 236(1).
    18. Kohns, David & Potjagailo, Galina, 2023. "Flexible Bayesian MIDAS: time‑variation, group‑shrinkage and sparsity," Bank of England working papers 1025, Bank of England.
    19. Fumio Hayashi & Yuta Tachi, 2023. "Nowcasting Japan’s GDP," Empirical Economics, Springer, vol. 64(4), pages 1699-1735, April.
    20. Andreini, Paolo & Hasenzagl, Thomas & Reichlin, Lucrezia & Senftleben-König, Charlotte & Strohsal, Till, 2023. "Nowcasting German GDP: Foreign factors, financial markets, and model averaging," International Journal of Forecasting, Elsevier, vol. 39(1), pages 298-313.
    21. Antolín-Díaz, Juan & Drechsel, Thomas & Petrella, Ivan, 2024. "Advances in nowcasting economic activity: The role of heterogeneous dynamics and fat tails," Journal of Econometrics, Elsevier, vol. 238(2).
    22. Bobeica, Elena & Hartwig, Benny, 2023. "The COVID-19 shock and challenges for inflation modelling," International Journal of Forecasting, Elsevier, vol. 39(1), pages 519-539.
    23. Nicolo Maffei-Faccioli, 2020. "Identifying the Sources of the Slowdown in Growth: Demand vs. Supply," 2020 Papers pma2978, Job Market Papers.
    24. Paul Labonne, 2020. "Asymmetric uncertainty : Nowcasting using skewness in real-time data," Papers 2012.02601, arXiv.org, revised May 2024.
    25. Lukas Berend & Jan Pruser, 2024. "The Transmission of Monetary Policy via Common Cycles in the Euro Area," Papers 2410.05741, arXiv.org, revised Nov 2024.
    26. Serena Ng & Susannah Scanlan, 2023. "Constructing High Frequency Economic Indicators by Imputation," Papers 2303.01863, arXiv.org, revised Oct 2023.
    27. Boriss Siliverstovs, 2021. "Gauging the Effect of Influential Observations on Measures of Relative Forecast Accuracy in a Post-COVID-19 Era: Application to Nowcasting Euro Area GDP Growth," Working Papers 2021/01, Latvijas Banka.

  7. Delle Monache, Davide & De Polis, Andrea & Petrella, Ivan, 2021. "Modeling and forecasting macroeconomic downside risk," Temi di discussione (Economic working papers) 1324, Bank of Italy, Economic Research and International Relations Area.

    Cited by:

    1. Wolf, Elias, 2022. "Estimating growth at risk with skewed stochastic volatility models," Discussion Papers 2022/2, Free University Berlin, School of Business & Economics.
    2. Jan Pruser & Florian Huber, 2023. "Nonlinearities in Macroeconomic Tail Risk through the Lens of Big Data Quantile Regressions," Papers 2301.13604, arXiv.org, revised Sep 2023.
    3. Aaron J. Amburgey & Michael W. McCracken, 2023. "On the real‐time predictive content of financial condition indices for growth," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(2), pages 137-163, March.
    4. Simon Lloyd & Ed Manuel & Konstantin Panchev, 2024. "Foreign Vulnerabilities, Domestic Risks: The Global Drivers of GDP-at-Risk," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 72(1), pages 335-392, March.
    5. Todd E. Clark & Florian Huber & Gary Koop & Massimiliano Marcellino & Michael Pfarrhofer, 2021. "Tail Forecasting with Multivariate Bayesian Additive Regression Trees," Working Papers 21-08R, Federal Reserve Bank of Cleveland, revised 12 Jul 2022.
    6. Adrian, Tobias & Adams, Patrick & Boyarchenko, Nina & Giannone, Domenico, 2020. "Forecasting Macroeconomic Risks," CEPR Discussion Papers 14436, C.E.P.R. Discussion Papers.
    7. Michal Franta & Jan Libich, 2024. "Holding the economy by the tail: analysis of short- and long-run macroeconomic risks," Empirical Economics, Springer, vol. 66(4), pages 1443-1489, April.
    8. Gloria González-Rivera & Carlos Vladimir Rodríguez-Caballero & Esther Ruiz Ortega, 2021. "Expecting the unexpected: economic growth under stress," CREATES Research Papers 2021-06, Department of Economics and Business Economics, Aarhus University.
    9. Botelho, Vasco & Foroni, Claudia & Renzetti, Andrea, 2024. "Labour at risk," European Economic Review, Elsevier, vol. 170(C).
    10. James Mitchell & Aubrey Poon & Dan Zhu, 2024. "Constructing density forecasts from quantile regressions: Multimodality in macrofinancial dynamics," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(5), pages 790-812, August.
    11. Fabio Busetti & Michele Caivano & Davide Delle Monache & Claudia Pacella, 2020. "The time-varying risk of Italian GDP," Temi di discussione (Economic working papers) 1288, Bank of Italy, Economic Research and International Relations Area.
    12. Philippe Goulet Coulombe, 2021. "The Macroeconomy as a Random Forest," Working Papers 21-05, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
    13. Yannick Hoga & Christian Schulz, 2025. "Self-Normalized Inference in (Quantile, Expected Shortfall) Regressions for Time Series," Papers 2502.10065, arXiv.org.
    14. Lhuissier, Stéphane, 2022. "Financial conditions and macroeconomic downside risks in the euro area," European Economic Review, Elsevier, vol. 143(C).
    15. Liu, Han & Wang, Lijun & Zhuo, Xingxuan, 2025. "Unveiling the shadows: The effects of financial conditions on the tail risks of China's macroeconomic activities," Economic Analysis and Policy, Elsevier, vol. 85(C), pages 1-14.
    16. De Polis, Andrea & Melosi, Leonardo & Petrella, Ivan, 2024. "The Taming of the Skew : Asymmetric Inflation Risk and Monetary Policy," The Warwick Economics Research Paper Series (TWERPS) 1530, University of Warwick, Department of Economics.
    17. Stolbov, Mikhail & Shchepeleva, Maria, 2022. "Modeling global real economic activity: Evidence from variable selection across quantiles," The Journal of Economic Asymmetries, Elsevier, vol. 25(C).
    18. Helena Chuliá & Ignacio Garrón & Jorge M. Uribe, 2021. ""Vulnerable Funding in the Global Economy"," IREA Working Papers 202106, University of Barcelona, Research Institute of Applied Economics, revised Mar 2021.
    19. Iseringhausen, Martin, 2024. "A time-varying skewness model for Growth-at-Risk," International Journal of Forecasting, Elsevier, vol. 40(1), pages 229-246.
    20. Pacelli, Vincenzo & Miglietta, Federica & Foglia, Matteo, 2022. "The extreme risk connectedness of the new financial system: European evidence," International Review of Financial Analysis, Elsevier, vol. 84(C).
    21. Karlsson, Sune & Mazur, Stepan & Nguyen, Hoang, 2021. "Vector autoregression models with skewness and heavy tails," Working Papers 2021:8, Örebro University, School of Business.
    22. Martin Iseringhausen & Konstantinos Theodoridis, 2025. "A survey-based measure of asymmetric macroeconomic risk in the euro area," Working Papers 68, European Stability Mechanism, revised 11 Feb 2025.
    23. Maximilian Boeck & Massimiliano Marcellino & Michael Pfarrhofer & Tommaso Tornese, 2024. "Predicting Tail-Risks for the Italian Economy," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 20(3), pages 339-366, November.
    24. Paul Labonne, 2020. "Asymmetric uncertainty : Nowcasting using skewness in real-time data," Papers 2012.02601, arXiv.org, revised May 2024.
    25. Deng, Chuang & Wu, Jian, 2023. "Macroeconomic downside risk and the effect of monetary policy," Finance Research Letters, Elsevier, vol. 54(C).
    26. Pfarrhofer, Michael, 2022. "Modeling tail risks of inflation using unobserved component quantile regressions," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
    27. Leopoldo Catania & Alessandra Luati & Pierluigi Vallarino, 2021. "Economic vulnerability is state dependent," CREATES Research Papers 2021-09, Department of Economics and Business Economics, Aarhus University.
    28. Giacomo Bormetti & Fulvio Corsi, 2021. "A Lucas Critique Compliant SVAR model with Observation-driven Time-varying Parameters," Papers 2107.05263, arXiv.org, revised Feb 2022.
    29. Botelho, Vasco & Foroni, Claudia & Renzetti, Andrea, 2023. "Labour at risk," Working Paper Series 2840, European Central Bank.
    30. Paul Labonne, 2022. "Asymmetric Uncertainty: Nowcasting Using Skewness in Real-time Data," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2022-23, Economic Statistics Centre of Excellence (ESCoE).
    31. Sui, Jianli & Lv, Wenqiang & Gao, Xiang & Koedijk, Kees G., 2024. "China’s GDP-at-Risk: Real-Time Monitoring, Risk Tracing, and Macroeconomic Policy Effects," Journal of International Money and Finance, Elsevier, vol. 147(C).
    32. Boriss Siliverstovs, 2021. "Gauging the Effect of Influential Observations on Measures of Relative Forecast Accuracy in a Post-COVID-19 Era: Application to Nowcasting Euro Area GDP Growth," Working Papers 2021/01, Latvijas Banka.

  8. Iseringhausen, Martin & Petrella, Ivan & Theodoridis, Konstantinos, 2021. "Aggregate Skewness and the Business Cycle," Cardiff Economics Working Papers E2021/30, Cardiff University, Cardiff Business School, Economics Section.

    Cited by:

    1. Simon Lloyd & Ed Manuel & Konstantin Panchev, 2024. "Foreign Vulnerabilities, Domestic Risks: The Global Drivers of GDP-at-Risk," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 72(1), pages 335-392, March.
    2. Labonne, Paul, 2025. "Asymmetric uncertainty: Nowcasting using skewness in real-time data," International Journal of Forecasting, Elsevier, vol. 41(1), pages 229-250.
    3. Ferreira, Thiago R.T., 2024. "Cross-sectional financial conditions, business cycles and the lending channel," Journal of Monetary Economics, Elsevier, vol. 147(C).
    4. Paul Labonne, 2022. "Asymmetric Uncertainty: Nowcasting Using Skewness in Real-time Data," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2022-23, Economic Statistics Centre of Excellence (ESCoE).

  9. Delle Monache, Davide & Petrella, Ivan & Venditti, Fabrizio, 2020. "Price dividend ratio and long-run stock returns: a score driven state space model," Temi di discussione (Economic working papers) 1296, Bank of Italy, Economic Research and International Relations Area.

    Cited by:

    1. Zheng, Tingguo & Ye, Shiqi & Hong, Yongmiao, 2023. "Fast estimation of a large TVP-VAR model with score-driven volatilities," Journal of Economic Dynamics and Control, Elsevier, vol. 157(C).
    2. Eric A. Beutner & Yicong Lin & Andre Lucas, 2023. "Consistency, distributional convergence, and optimality of score-driven filters," Tinbergen Institute Discussion Papers 23-051/III, Tinbergen Institute.
    3. Frederik Krabbe, 2024. "Asymptotic Properties of the Maximum Likelihood Estimator for Markov-switching Observation-driven Models," Papers 2412.19555, arXiv.org.
    4. Caravello, Tomás E. & Driffill, John & Kenc, Turalay & Sola, Martin, 2024. "On the sources of the aggregate risk premium: Risk aversion, bubbles or regime-switching?," Journal of Economic Dynamics and Control, Elsevier, vol. 166(C).

  10. Petrella, Ivan & Lubello, Federico & Santoro, Emiliano, 2019. "Bank Assets, Liquidity and Credit Cycles," CEPR Discussion Papers 13831, C.E.P.R. Discussion Papers.

    Cited by:

    1. Wang, Xinjie & (Ken) Zhong, Zhaodong, 2022. "Post-crisis regulations, market making, and liquidity in over-the-counter markets," Journal of Banking & Finance, Elsevier, vol. 134(C).

  11. Petrella, Ivan & Santoro, Emiliano & Simonsen, Lasse de la Porte, 2018. "Time-varying Price Flexibility and Inflation Dynamics," CEPR Discussion Papers 13027, C.E.P.R. Discussion Papers.

    Cited by:

    1. Huw Dixon & Kul Luintel & Kun Tian, 2020. "The Impact of the 2008 Crisis on UK Prices: What We Can Learn from the CPI Microdata," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(6), pages 1322-1341, December.

  12. Petrella, Ivan & Antolin-Diaz, Juan & Rubio-Ramírez, Juan Francisco, 2018. "Structural Scenario Analysis with SVARs," CEPR Discussion Papers 12579, C.E.P.R. Discussion Papers.

    Cited by:

    1. Boeck, Maximilian & Zörner, Thomas O., 2025. "Natural gas prices, inflation expectations, and the pass-through to euro area inflation," Energy Economics, Elsevier, vol. 141(C).
    2. Anastasiia Antonova & Mykhailo Matvieiev & Céline Poilly, 2024. "Supply Shocks in the Fog: The Role of Endogenous Uncertainty," AMSE Working Papers 2427, Aix-Marseille School of Economics, France.
    3. Valenti, Daniele & Bastianin, Andrea & Manera, Matteo, "undated". "A weekly structural VAR model of the US crude oil market," FEEM Working Papers 324040, Fondazione Eni Enrico Mattei (FEEM).
    4. Lukas Berend & Jan Pruser, 2025. "Large structural VARs with multiple linear shock and impact inequality restrictions," Papers 2505.19244, arXiv.org.
    5. Andres–Escayola, Erik & Berganza, Juan Carlos & Campos, Rodolfo G. & Molina, Luis, 2023. "A BVAR toolkit to assess macrofinancial risks in Brazil and Mexico," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 4(1).
    6. Silvia Miranda-Agrippino & Giovanni Ricco, 2018. "Bayesian vector autoregressions," Documents de Travail de l'OFCE 2018-18, Observatoire Francais des Conjonctures Economiques (OFCE).
    7. Hristov, Nikolay & Hülsewig, Oliver & Wollmershäuser, Timo, 2019. "Capital flows in the euro area and TARGET2 balances," Discussion Papers 24/2019, Deutsche Bundesbank.
    8. Güntner, Jochen & Reif, Magnus & Wolters, Maik H., 2024. "Sudden stop: Supply and demand shocks in the German natural gas market," IMFS Working Paper Series 206, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    9. Breitenlechner, Max & Georgiadis, Georgios & Schumann, Ben, 2021. "What goes around comes around: How large are spillbacks from US monetary policy?," Working Paper Series 2613, European Central Bank.
    10. Geiger, Martin & Güntner, Jochen, 2024. "The chronology of Brexit and UK monetary policy," Journal of Monetary Economics, Elsevier, vol. 142(C).
    11. Georgiadis, Georgios & Müller, Gernot J. & Schumann, Ben, 2024. "Global risk and the dollar," Journal of Monetary Economics, Elsevier, vol. 144(C).
    12. Mario Forni & Luca Gambetti & Nicolò Maffei-Faccioli & Luca Sala, 2023. "The impact of financial shocks on the forecast distribution of output and inflation," Working Paper 2023/3, Norges Bank.
    13. Pagliari, Maria Sole, 2024. "Does one (unconventional) size fit all? Effects of the ECB’s unconventional monetary policies on the euro area economies," European Economic Review, Elsevier, vol. 168(C).
    14. Sokol, Andrej, 2021. "Fan charts 2.0: flexible forecast distributions with expert judgement," Working Paper Series 2624, European Central Bank.
    15. Gökhan Ider & Alexander Kriwoluzky & Frederik Kurcz & Ben Schumann, 2023. "The Energy-Price Channel of (European) Monetary Policy," Discussion Papers of DIW Berlin 2033, DIW Berlin, German Institute for Economic Research.
    16. Antonio M. Conti & Andrea Nobili & Federico M. Signoretti, 2025. "Bank Capital Requirements, Lending Supply, and Economic Activity: A Scenario Analysis Perspective," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 44(3), pages 1132-1164, April.
    17. Maciej Stefański, 2021. "Macroeconomic Effects of Quantitative Easing Using Mid-sized Bayesian Vector Autoregressions," KAE Working Papers 2021-068, Warsaw School of Economics, Collegium of Economic Analysis.
    18. Byoung Hark Yoo, 2023. "Conditional Forecasting With a Bayesian Vector Autoregression: Working Paper 2023-08," Working Papers 59629, Congressional Budget Office.
    19. Antonio M. Conti & Andrea Nobili & Federico M. Signoretti, 2018. "Bank capital constraints, lending supply and economic activity," Temi di discussione (Economic working papers) 1199, Bank of Italy, Economic Research and International Relations Area.
    20. Lukas Boer & Mr. Andrea Pescatori & Martin Stuermer, 2021. "Energy Transition Metals," IMF Working Papers 2021/243, International Monetary Fund.
    21. Marco Bernardini & Antonio M. Conti, 2023. "Announcement and implementation effects of central bank asset purchases," Temi di discussione (Economic working papers) 1435, Bank of Italy, Economic Research and International Relations Area.
    22. Tallman, Ellis W. & Zaman, Saeed, 2020. "Combining survey long-run forecasts and nowcasts with BVAR forecasts using relative entropy," International Journal of Forecasting, Elsevier, vol. 36(2), pages 373-398.
    23. Max Breitenlechner & Martin Geiger & Mathias Klein, 2024. "The Fiscal Channel of Monetary Policy," Working Papers 2024-07, Faculty of Economics and Statistics, Universität Innsbruck.
    24. Chan, Joshua C.C. & Pettenuzzo, Davide & Poon, Aubrey & Zhu, Dan, 2025. "Conditional forecasts in large Bayesian VARs with multiple equality and inequality constraints," Journal of Economic Dynamics and Control, Elsevier, vol. 173(C).
    25. Ursel Baumann & David Lodge & Mirela S. Miescu, 2024. "Global growth on life support? The contributions of fiscal and monetary policy since the global financial crisis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(1), pages 76-90, January.
    26. Alisdair McKay & Christian K. Wolf, 2023. "What Can Time‐Series Regressions Tell Us About Policy Counterfactuals?," Econometrica, Econometric Society, vol. 91(5), pages 1695-1725, September.
    27. Martin Stuermer, 2022. "Non-renewable resource extraction over the long term: empirical evidence from global copper production," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 35(3), pages 617-625, December.
    28. Chavleishvili, Sulkhan & Kremer, Manfred & Lund-Thomsen, Frederik, 2023. "Quantifying financial stability trade-offs for monetary policy: a quantile VAR approach," Working Paper Series 2833, European Central Bank.
    29. Lukas Boer & Malte Rieth, 2024. "The Macroeconomic Consequences of Import Tariffs and Trade Policy Uncertainty," Discussion Papers of DIW Berlin 2072, DIW Berlin, German Institute for Economic Research.
    30. Michael W. McCracken & Joseph McGillicuddy & Michael T. Owyang, 2019. "Binary Conditional Forecasts," Working Papers 2019-029, Federal Reserve Bank of St. Louis, revised Apr 2021.
    31. Riccardo Degasperi & Fabrizio Venditti, 2024. "US monetary policy spillovers to the euro area," Questioni di Economia e Finanza (Occasional Papers) 891, Bank of Italy, Economic Research and International Relations Area.
    32. Diegel, Max & Nautz, Dieter, 2021. "Long-term inflation expectations and the transmission of monetary policy shocks: Evidence from a SVAR analysis," Journal of Economic Dynamics and Control, Elsevier, vol. 130(C).
    33. Morell, Joe & Rice, Jonathan & Shaw, Frances, 2022. "A Framework for Macroprudential Stress Testing," Research Technical Papers 7/RT/22, Central Bank of Ireland.
    34. Huljak, Ivan & Martin, Reiner & Moccero, Diego & Pancaro, Cosimo, 2020. "Do non-performing loans matter for bank lending and the business cycle in euro area countries?," Working Paper Series 2411, European Central Bank.
    35. Degasperi,Riccardo & Hong, Seokki Simon & Ricco, Giovanni, 2020. "The Global Transmission of U.S. Monetary Policy," The Warwick Economics Research Paper Series (TWERPS) 1257, University of Warwick, Department of Economics.
    36. Forni, Mario & Gambetti, Luca & Maffei-Faccioli, Nicolò & Sala, Luca, 2024. "The effects of monetary policy on macroeconomic risk," European Economic Review, Elsevier, vol. 167(C).
    37. Ganics, Gergely & Odendahl, Florens, 2021. "Bayesian VAR forecasts, survey information, and structural change in the euro area," International Journal of Forecasting, Elsevier, vol. 37(2), pages 971-999.
    38. Efrem Castelnuovo & Lorenzo Mori, 2025. "Uncertainty, Skewness, and the Business Cycle Through the MIDAS Lens," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 40(1), pages 89-107, January.
    39. Dominik Bertsche, 2019. "The effects of oil supply shocks on the macroeconomy: a Proxy-FAVAR approachThe effects of oil supply shocks on the macroeconomy: a Proxy-FAVAR approach," Working Paper Series of the Department of Economics, University of Konstanz 2019-06, Department of Economics, University of Konstanz.
    40. Maciej Stefański, 2023. "Quantitative Easing During the COVID-19 Pandemic: A Cross-Country Study," KAE Working Papers 2023-088, Warsaw School of Economics, Collegium of Economic Analysis.
    41. Stefański, Maciej, 2022. "Macroeconomic effects and transmission channels of quantitative easing," Economic Modelling, Elsevier, vol. 114(C).
    42. Tuzcuoglu, Kerem, 2024. "Nonlinear transmission of international financial stress," Economic Modelling, Elsevier, vol. 139(C).
    43. Elias Hasler, 2025. "Assessing the Global Impact of EU Carbon Pricing: Economic and Climate Spillovers," Working Papers 2025-01, Faculty of Economics and Statistics, Universität Innsbruck.
    44. Max Breitenlechner & Martin Geiger & Daniel Gründler & Johann Scharler, 2024. "Sequencing the COVID‐19 Recession in the USA: What Were the Macroeconomic Drivers?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 86(1), pages 119-136, February.
    45. Lian An & Mark A. Wynne & Ren Zhang, 2020. "Shock-Dependent Exchange Rate Pass-Through: Evidence Based on a Narrative Sign Approach," Globalization Institute Working Papers 379, Federal Reserve Bank of Dallas.
    46. Carriero, Andrea & Clark, Todd E. & Marcellino, Massimiliano & Mertens, Elmar, 2023. "Shadow-rate VARs," Discussion Papers 14/2023, Deutsche Bundesbank.
    47. Geis, André & Moder, Isabella & Schuler, Tobias, 2020. "Who’s afraid of euro area monetary tightening? CESEE shouldn’t," Working Paper Series 2416, European Central Bank.

  13. Ivan Petrella & Raffaele Rossi & Emiliano Santoro, 2017. "Monetary Policy with Sectoral Trade-offs," Centre for Growth and Business Cycle Research Discussion Paper Series 233, Economics, The University of Manchester.

    Cited by:

    1. Di Pace, Federico & Hertweck, Matthias S., 2012. "Labour Market Frictions, Monetary Policy, and Durable Goods," VfS Annual Conference 2012 (Goettingen): New Approaches and Challenges for the Labor Market of the 21st Century 62052, Verein für Socialpolitik / German Economic Association.
    2. Cantelmo, Alessandro & Melina, Giovanni, 2023. "Sectoral labor mobility and optimal monetary policy," Macroeconomic Dynamics, Cambridge University Press, vol. 27(1), pages 1-26, January.
    3. Federico Di Pace & Christoph Gortz, 2021. "Monetary Policy, Sectoral Comovement and the Credit Channel," Discussion Papers 21-07, Department of Economics, University of Birmingham.
    4. Petrella, Ivan & Rossi, Raffaele & Santoro, Emiliano, 2013. "Discretion vs. Timeless Perspective under Model-consistent Stabilization Objectives," CEPR Discussion Papers 9731, C.E.P.R. Discussion Papers.
    5. Neyer, Ulrike & Stempel, Daniel, 2025. "Household inflation heterogeneity and the relative price elasticity channel of monetary policy," Economic Modelling, Elsevier, vol. 144(C).
    6. Santoro, Sergio & Weber, Henning, 2023. "Micro price heterogeneity and optimal inflation," Occasional Paper Series 322, European Central Bank.
    7. Swapnil Singh & Roel Beetsma, 2018. "Optimal Monetary Policy Under Sectoral Interconnections," De Economist, Springer, vol. 166(3), pages 309-336, September.
    8. Ida, Daisuke, 2020. "Sectoral inflation persistence and optimal monetary policy," Journal of Macroeconomics, Elsevier, vol. 65(C).
    9. Glocker, Christian & Piribauer, Philipp, 2021. "Digitalization, retail trade and monetary policy," Journal of International Money and Finance, Elsevier, vol. 112(C).
    10. Di Pace, Federico & Görtz, Christoph, 2021. "Sectoral comovement, monetary policy and the credit channel," Bank of England working papers 925, Bank of England.
    11. Vedanta Dhamija & Ricardo Nunes & Roshni Tara, 2025. "House Price Expectations and Inflation Expectations: Evidence from Survey Data," Economics Series Working Papers 1069, University of Oxford, Department of Economics.
    12. Xia, Tian, 2020. "The role of intermediate goods in international monetary cooperation," Journal of International Money and Finance, Elsevier, vol. 100(C).
    13. Gong, Liutang & Wang, Chan & Zou, Heng-fu, 2016. "Optimal monetary policy with international trade in intermediate inputs," Journal of International Money and Finance, Elsevier, vol. 65(C), pages 140-165.
    14. Cantelmo, Alessandro & Melina, Giovanni, 2018. "Monetary policy and the relative price of durable goods," Journal of Economic Dynamics and Control, Elsevier, vol. 86(C), pages 1-48.

  14. Juan Antolín-Díaz & Ivan Petrella & Juan F. Rubio-Ramírez, 2017. "Structural Scenario Analysis and Stress Testing with Vector Autoregressions," Working Papers 2017-13, FEDEA.

    Cited by:

    1. Ngomba Bodi, Francis Ghislain & Bikai, Landry, 2019. "Les prévisions conditionnelles sont-elles plus précises que les prévisions inconditionnelles dans les projections de croissance et d’inflation en zone CEMAC ? [Should conditional forecasts of infla," MPRA Paper 116432, University Library of Munich, Germany.

  15. Henrik Jensen & Ivan Petrella & Søren Hove Ravn & Emiliano Santoro, 2017. "Leverage and deepening business cycle skewness," Working Papers 1732, Banco de España.

    Cited by:

    1. Eskelinen, Maria, 2021. "Monetary policy, agent heterogeneity and inequality: insights from a three-agent New Keynesian model," Working Paper Series 2590, European Central Bank.
    2. Richard McManus & F. Gulcin Ozkan & Dawid Trzeciakiewicz, 2021. "Why are Fiscal Multipliers Asymmetric? The Role of Credit Constraints," Economica, London School of Economics and Political Science, vol. 88(349), pages 32-69, January.
    3. Guo Xie & Kai Li, 2023. "Does resident leverage volatility affect corporate profitability?: An empirical study from Chinese A‐share listed companies," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(3), pages 1656-1668, April.
    4. Patrick Fève & Pablo Garcia Sanchez & Alban Moura & Olivier Pierrard, 2019. "Costly Default And Asymmetric Real Business Cycles," LIDAM Discussion Papers IRES 2019018, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    5. Dimitris Korobilis & Maximilian Schröder, 2023. "Monitoring multicountry macroeconomic risk," Working Paper 2023/9, Norges Bank.
    6. Carriero, Andrea & Clark, Todd & Marcellino, Massimiliano, 2022. "Capturing Macroeconomic Tail Risks with Bayesian Vector Autoregressions," CEPR Discussion Papers 17512, C.E.P.R. Discussion Papers.
    7. Pacicco, Fausto & Serati, Massimiliano & Venegoni, Andrea, 2022. "The Euro Area credit crunch conundrum: Was it demand or supply driven?," Economic Modelling, Elsevier, vol. 106(C).
    8. Panovska, Irina & Zhang, Licheng, 2024. "Jobless recoveries and time variation in labor markets," Journal of Macroeconomics, Elsevier, vol. 81(C).
    9. Delle Monache, Davide & De Polis, Andrea & Petrella, Ivan, 2021. "Modeling and forecasting macroeconomic downside risk," Temi di discussione (Economic working papers) 1324, Bank of Italy, Economic Research and International Relations Area.
    10. Joël Cariolle & Petros G Sekeris, 2021. "How export shocks corrupt: theory and evidence," Working Papers hal-03164648, HAL.
    11. Cyril Couaillier & Valerio Scalone, 2020. "How does Financial Vulnerability amplify Housing and Credit Shocks?," Working papers 763, Banque de France.
    12. Florian Misch & Martin Rey, 2022. "The case for a loan-based euro area stability fund," Discussion Papers 20, European Stability Mechanism, revised 05 May 2022.
    13. Martin Iseringhausen & Ivan Petrella & Konstantinos Theodoridis, 2022. "Aggregate skewness and the business cycle," Working Papers 53, European Stability Mechanism.
    14. Xin Sheng & Rangan Gupta & Qiang Ji, 2023. "The Effects of Disaggregate Oil Shocks on the Aggregate Expected Skewness of the United States," Risks, MDPI, vol. 11(11), pages 1-9, October.
    15. William Gatt, 2018. "Housing boom-bust cycles and asymmetric macroprudential policy," CBM Working Papers WP/02/2018, Central Bank of Malta.
    16. Òscar Jordà & Moritz Schularick & Alan M. Taylor, 2020. "Disasters Everywhere: The Costs of Business Cycles Reconsidered," NBER Working Papers 26962, National Bureau of Economic Research, Inc.
    17. Iseringhausen, Martin, 2024. "A time-varying skewness model for Growth-at-Risk," International Journal of Forecasting, Elsevier, vol. 40(1), pages 229-246.
    18. Miranda-Pinto, Jorge & Silva, Alvaro & Young, Eric R., 2023. "Business cycle asymmetry and input-output structure: The role of firm-to-firm networks," Journal of Monetary Economics, Elsevier, vol. 137(C), pages 1-20.
    19. Arčabić, Vladimir & Panovska, Irina & Tica, Josip, 2024. "Business cycle synchronization and asymmetry in the European Union," Economic Modelling, Elsevier, vol. 139(C).
    20. Isabel Cairo & Jae Sim, 2017. "Income Inequality, Financial Crises and Monetary Policy," 2017 Meeting Papers 1433, Society for Economic Dynamics.
    21. Jean‐François Rouillard, 2023. "Credit Crunch and Downward Nominal Wage Rigidities," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(4), pages 889-914, June.
    22. Joshua Brault & Hashmat Khan, 2021. "Indebted Demand in a Two Period Consumption-Saving Model," Carleton Economic Papers 21-13, Carleton University, Department of Economics, revised 05 Jan 2022.
    23. Martin Iseringhausen & Konstantinos Theodoridis, 2025. "A survey-based measure of asymmetric macroeconomic risk in the euro area," Working Papers 68, European Stability Mechanism, revised 11 Feb 2025.
    24. Paul Labonne, 2020. "Asymmetric uncertainty : Nowcasting using skewness in real-time data," Papers 2012.02601, arXiv.org, revised May 2024.
    25. Aubhik Khan & Soyoung Lee, 2023. "Persistent Debt and Business Cycles in an Economy with Production Heterogeneity," Staff Working Papers 23-17, Bank of Canada.
    26. Patrick Fève & Pablo Garcia Sanchez & Alban Moura & Olivier Pierrard, 2021. "Costly default and skewed business cycle," Post-Print hal-03346173, HAL.
    27. Peter J. Boettke & Alexander W. Salter & Daniel J. Smith, 2018. "Money as meta-rule: Buchanan’s constitutional economics as a foundation for monetary stability," Public Choice, Springer, vol. 176(3), pages 529-555, September.
    28. Marcus Ingholt, 2018. "LTV vs. DTI Constraints: When Did They Bind, and How Do They Interact?," 2018 Meeting Papers 866, Society for Economic Dynamics.
    29. Mølbak Ingholt, Marcus, 2022. "Multiple Credit Constraints and Time-Varying Macroeconomic Dynamics," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
    30. Ghilardi, Matteo F. & Zilberman, Roy, 2024. "Dividend Taxation and Financial Business Cycles," Economics Letters, Elsevier, vol. 238(C).
    31. Luciano Campos & Danilo Leiva-León & Steven Zapata- Álvarez, 2022. "Latin American Falls, Rebounds and Tail Risks," Borradores de Economia 1201, Banco de la Republica de Colombia.

  16. Davide Delle Monache & Ivan Petrella, 2016. "Adaptive models and heavy tails with an application to inflation forecasting," BCAM Working Papers 1603, Birkbeck Centre for Applied Macroeconomics.

    Cited by:

    1. Nima Nonejad, 2021. "An Overview Of Dynamic Model Averaging Techniques In Time‐Series Econometrics," Journal of Economic Surveys, Wiley Blackwell, vol. 35(2), pages 566-614, April.
    2. Barbara Rossi, 2021. "Forecasting in the Presence of Instabilities: How We Know Whether Models Predict Well and How to Improve Them," Journal of Economic Literature, American Economic Association, vol. 59(4), pages 1135-1190, December.
    3. Mogens Fosgerau & Jinwon Kim & Abhishek Ranjan, 2017. "Vickrey Meets Alonso: Commute Scheduling and Congestion in a Monocentric City," Discussion Papers 17-25, University of Copenhagen. Department of Economics.
    4. Roberto Duncan & Enrique Martínez‐García, 2023. "Forecasting inflation in open economies: What can a NOEM model do?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(3), pages 481-513, April.
    5. Gorgi, Paolo & Koopman, Siem Jan & Li, Mengheng, 2019. "Forecasting economic time series using score-driven dynamic models with mixed-data sampling," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1735-1747.
    6. Hilde C. Bjørnland & Roberto Casarin & Marco Lorusso & Francesco Ravazzolo, 2023. "Fiscal Policy Regimes in Resource-Rich Economies," Working Papers No 13/2023, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    7. Fuentes, Fernanda & Herrera, Rodrigo & Clements, Adam, 2023. "Forecasting extreme financial risk: A score-driven approach," International Journal of Forecasting, Elsevier, vol. 39(2), pages 720-735.
    8. Luisa Bisaglia & Matteo Grigoletto, 2021. "A new time-varying model for forecasting long-memory series," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(1), pages 139-155, March.
    9. Delle Monache, Davide & De Polis, Andrea & Petrella, Ivan, 2021. "Modeling and forecasting macroeconomic downside risk," Temi di discussione (Economic working papers) 1324, Bank of Italy, Economic Research and International Relations Area.
    10. Labonne, Paul, 2025. "Asymmetric uncertainty: Nowcasting using skewness in real-time data," International Journal of Forecasting, Elsevier, vol. 41(1), pages 229-250.
    11. Tretyakov, Dmitriy & Fokin, Nikita, 2020. "Помогают Ли Высокочастотные Данные В Прогнозировании Российской Инфляции? [Does the high-frequency data is helpful for forecasting Russian inflation?]," MPRA Paper 109556, University Library of Munich, Germany.
    12. Delle Monache, Davide & Petrella, Ivan & Venditti, Fabrizio, 2020. "Price dividend ratio and long-run stock returns: a score driven state space model," Temi di discussione (Economic working papers) 1296, Bank of Italy, Economic Research and International Relations Area.
    13. De Polis, Andrea & Melosi, Leonardo & Petrella, Ivan, 2024. "The Taming of the Skew : Asymmetric Inflation Risk and Monetary Policy," The Warwick Economics Research Paper Series (TWERPS) 1530, University of Warwick, Department of Economics.
    14. Chen, Ji & Yang, Xinglin & Liu, Xiliang, 2022. "Learning, disagreement and inflation forecasting," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    15. Krist'of N'emeth & D'aniel Hadh'azi, 2024. "Generating density nowcasts for U.S. GDP growth with deep learning: Bayes by Backprop and Monte Carlo dropout," Papers 2405.15579, arXiv.org.
    16. Martin Weale & Paul Labonne, 2022. "Nowcasting in the presence of large measurement errors and revisions," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2022-05, Economic Statistics Centre of Excellence (ESCoE).
    17. Paul Labonne, 2020. "Asymmetric uncertainty : Nowcasting using skewness in real-time data," Papers 2012.02601, arXiv.org, revised May 2024.
    18. Carlos Henrique Dias Cordeiro de Castro & Fernando Antonio Lucena Aiube, 2023. "Forecasting inflation time series using score‐driven dynamic models and combination methods: The case of Brazil," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(2), pages 369-401, March.
    19. Blasques, F. & Gorgi, P. & Koopman, S.J., 2019. "Accelerating score-driven time series models," Journal of Econometrics, Elsevier, vol. 212(2), pages 359-376.
    20. Harvey, A., 2021. "Score-driven time series models," Cambridge Working Papers in Economics 2133, Faculty of Economics, University of Cambridge.
    21. Giacomo Bormetti & Fulvio Corsi, 2021. "A Lucas Critique Compliant SVAR model with Observation-driven Time-varying Parameters," Papers 2107.05263, arXiv.org, revised Feb 2022.
    22. Paul Labonne, 2022. "Asymmetric Uncertainty: Nowcasting Using Skewness in Real-time Data," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2022-23, Economic Statistics Centre of Excellence (ESCoE).

  17. Hevia, Constantino & Petrella, Ivan & Sola, Martin, 2016. "Risk premia and seasonality in commodity futures," Bank of England working papers 591, Bank of England.

    Cited by:

    1. Anthony Garratt & Shaun P. Vahey & Ynuyi Zhang, 2018. "Real-time Forecast Combinations for the Oil Price," National Institute of Economic and Social Research (NIESR) Discussion Papers 494, National Institute of Economic and Social Research.
    2. Piergiorgio Alessandri & Andrea Gazzani, 2023. "Natural gas and the macroeconomy: not all energy shocks are alike," Temi di discussione (Economic working papers) 1428, Bank of Italy, Economic Research and International Relations Area.
    3. Anthony Garratt & Ivan Petrella, 2022. "Commodity prices and inflation risk," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(2), pages 392-414, March.
    4. Markos Farag, Stephen Snudden, Greg Upton, 2024. "Can Futures Prices Predict the Real Price of Primary Commodities?," LCERPA Working Papers jc0145, Laurier Centre for Economic Research and Policy Analysis, revised 2024.
    5. Han Jun S. & Kordzakhia Nino & Shevchenko Pavel V. & Trück Stefan, 2022. "On correlated measurement errors in the Schwartz–Smith two-factor model," Dependence Modeling, De Gruyter, vol. 10(1), pages 108-122, January.
    6. Bredin, Don & O'Sullivan, Conall & Spencer, Simon, 2021. "Forecasting WTI crude oil futures returns: Does the term structure help?," Energy Economics, Elsevier, vol. 100(C).
    7. Spencer, Simon & Bredin, Don, 2019. "Agreement matters: OPEC announcement effects on WTI term structure," Energy Economics, Elsevier, vol. 80(C), pages 589-609.
    8. Dominik Boos, 2024. "Risky times: Seasonality and event risk of commodities," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(5), pages 767-783, May.
    9. Czudaj, Robert L., 2019. "Dynamics between trading volume, volatility and open interest in agricultural futures markets: A Bayesian time-varying coefficient approach," Econometrics and Statistics, Elsevier, vol. 12(C), pages 78-145.
    10. Sania Wadud & Robert D. Durand & Marc Gronwald, 2021. "Connectedness between the Crude Oil Futures and Equity Markets during the Pre- and Post-Financialisation Eras," CESifo Working Paper Series 9202, CESifo.

  18. Antolin-Diaz, Juan & Drechsel, Thomas & Petrella, Ivan, 2016. "Tracking the slowdown in long-run GDP growth," Bank of England working papers 587, Bank of England.

    Cited by:

    1. Lee, Byoungchan, 2023. "Wealth Inequality and Endogenous Growth," Journal of Monetary Economics, Elsevier, vol. 133(C), pages 132-148.
    2. Bandi, Federico M. & Bretscher, Lorenzo & Tamoni, Andrea, 2023. "Return predictability with endogenous growth," Journal of Financial Economics, Elsevier, vol. 150(3).
    3. Mariano Kulish & Nadine Yamout, 2024. "The Fiscal Arithmetic of a Slowdown in Trend Growth," Working Papers 308, Red Nacional de Investigadores en Economía (RedNIE).
    4. Schubert, Torben & Jäger, Angela & Türkeli, Serdar & Visentin, Fabiana, 2020. "Addressing the productivity paradox with big data: A literature review and adaptation of the CDM econometric model," MERIT Working Papers 2020-050, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    5. Chigozie Chukwu & Aleksandar Vasilev & Shrabani Saha, 2024. "Measuring Business Cycle Stylized Facts in Selected Oil-Producing Economies: A Comparative Study," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 20(1), pages 89-121, August.
    6. Martin Iseringhausen & Hauke Vierke, 2018. "What Drives Output Volatility? The Role of Demographics and Government Size Revisited," European Economy - Discussion Papers 075, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    7. Martin Iseringhausen, 2018. "The Time-Varying Asymmetry Of Exchange Rate Returns: A Stochastic Volatility – Stochastic Skewness Model," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 18/944, Ghent University, Faculty of Economics and Business Administration.
    8. Everaert, Gerdie & Iseringhausen, Martin, 2018. "Measuring the international dimension of output volatility," Journal of International Money and Finance, Elsevier, vol. 81(C), pages 20-39.
    9. Catherine Doz & Laurent Ferrara & Pierre-Alain Pionnier, 2020. "Business cycle dynamics after the Great Recession: An extended Markov-Switching Dynamic Factor Model," OECD Statistics Working Papers 2020/01, OECD Publishing.
    10. Callum Jones & Mariano Kulish & James Morley, 2024. "A Structural Measure of the Shadow Federal Funds Rate," Working Papers 2024-05, University of Sydney, School of Economics.
    11. Huang, Kaixing, 2016. "The postwar growth slowdown and the path of economic development," MPRA Paper 80988, University Library of Munich, Germany, revised 01 Aug 2017.
    12. Mogens Fosgerau & Jinwon Kim & Abhishek Ranjan, 2017. "Vickrey Meets Alonso: Commute Scheduling and Congestion in a Monocentric City," Discussion Papers 17-25, University of Copenhagen. Department of Economics.
    13. Francesco Furlanetto & Antoine Lepetit & Ørjan Robstad & Juan Rubio-Ramírez & Pal Ulvedal, 2021. "Estimating Hysteresis Effects," Working Papers 2021-11, FEDEA.
    14. Miguel Leon-Ledesma & Alessio Moro, 2018. "The Rise of Services and Balanced Growth in Theory and Data," 2018 Meeting Papers 424, Society for Economic Dynamics.
    15. Jaeho Kim & Sora Chon, 2020. "Why are Bayesian trend-cycle decompositions of US real GDP so different?," Empirical Economics, Springer, vol. 58(3), pages 1339-1354, March.
    16. Manu García & Juan F. Rubio-Ramírez, 2019. "Now-casting Spain," Working Papers 2019-03, FEDEA.
    17. Bofinger, Peter & Feld, Lars P. & Schmidt, Christoph M. & Schnabel, Isabel & Wieland, Volker, 2018. "Vor wichtigen wirtschaftspolitischen Weichenstellungen. Jahresgutachten 2018/19 [Setting the Right Course for Economic Policy. Annual Report 2018/19]," Annual Economic Reports / Jahresgutachten, German Council of Economic Experts / Sachverständigenrat zur Begutachtung der gesamtwirtschaftlichen Entwicklung, volume 127, number 201819.
    18. Zhang, Xiaoge, 2022. "Belief-driven growth slowdowns and zero-bounded risk-free rate," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    19. Adam Check & Jeremy Piger, 2021. "Structural Breaks in U.S. Macroeconomic Time Series: A Bayesian Model Averaging Approach," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(8), pages 1999-2036, December.
    20. Andrew T. Foerster & Andreas Hornstein & Pierre-Daniel G. Sarte & Mark W. Watson, 2021. "Aggregate Implications of Changing Sectoral Trends," Working Papers 2021-54, Princeton University. Economics Department..
    21. Marta Banbura & Andries van Vlodrop, 2018. "Forecasting with Bayesian Vector Autoregressions with Time Variation in the Mean," Tinbergen Institute Discussion Papers 18-025/IV, Tinbergen Institute.
    22. Baumeister, Christiane & Leiva-León, Danilo & Sims, Eric, 2021. "Tracking Weekly State-Level Economic Conditions," CEPR Discussion Papers 16317, C.E.P.R. Discussion Papers.
    23. Schmidt, Torsten & Arce-Alfaro, Gabriel & Barabas, György & Blagov, Boris & Döhrn, Roland & Fuest, Angela & Isaak, Niklas & Jäger, Philipp & Micheli, Martin & Schacht, Philip, 2020. "Die wirtschaftliche Entwicklung im Inland: Konjunktur im Griff der Corona-Epidemie," RWI Konjunkturberichte, RWI - Leibniz-Institut für Wirtschaftsforschung, vol. 71(1), pages 41-73.
    24. Daniel Baquero & Manuel Gonzalez-Astudillo, 2018. "A Nowcasting Model for the Growth Rate of Real GDP of Ecuador : Implementing a Time-Varying Intercept," Finance and Economics Discussion Series 2018-044, Board of Governors of the Federal Reserve System (U.S.).
    25. Hasan, Iftekhar & Manfredonia, Stefano, 2022. "Productivity, managers’ social connections and the financial crisis," Journal of Banking & Finance, Elsevier, vol. 141(C).
    26. Akos Valentinyi, 2018. "Quantity Measurement and Balanced Growth in Multi-Sector Growth Models," 2018 Meeting Papers 837, Society for Economic Dynamics.
    27. Tino Berger & James Morley & Benjamin Wong, 2020. "Nowcasting the Output Gap," CAMA Working Papers 2020-78, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    28. Michal Franta & Jan Libich, 2024. "Holding the economy by the tail: analysis of short- and long-run macroeconomic risks," Empirical Economics, Springer, vol. 66(4), pages 1443-1489, April.
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    30. Labonne, Paul, 2025. "Asymmetric uncertainty: Nowcasting using skewness in real-time data," International Journal of Forecasting, Elsevier, vol. 41(1), pages 229-250.
    31. Markus Heinrich & Magnus Reif, 2018. "Forecasting using mixed-frequency VARs with time-varying parameters," ifo Working Paper Series 273, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    32. Nam Gang Lee, 2020. "Vulnerable Growth: A Revisit," Working Papers 2020-22, Economic Research Institute, Bank of Korea.
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    34. Bhattacharjee, Arnab & Kohns, David, 2022. "Nowcasting Growth using Google Trends Data: A Bayesian Structural Time Series Model," National Institute of Economic and Social Research (NIESR) Discussion Papers 538, National Institute of Economic and Social Research.
    35. Caterina Schiavoni & Siem Jan Koopman & Franz Palm & Stephan Smeekes & Jan van den Brakel, 2021. "Time-varying state correlations in state space models and their estimation via indirect inference," Tinbergen Institute Discussion Papers 21-020/III, Tinbergen Institute.
    36. Eraslan, Sercan & Schröder, Maximilian, 2023. "Nowcasting GDP with a pool of factor models and a fast estimation algorithm," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1460-1476.
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    39. Luciano Campos & Danilo Leiva-León & Steven Zapata, 2022. "Latin American Falls, Rebounds and Tail," Working Papers 145, Red Nacional de Investigadores en Economía (RedNIE).
    40. Thomas Drechsel & Silvana Tenreyro, 2017. "Commodity Booms and Busts in Emerging Economies," Discussion Papers 1723, Centre for Macroeconomics (CFM).
    41. Alexander Beames & Mariano Kulish & Nadine Yamout, 2022. "Fiscal Policy and the Slowdown in Trend Growth in an Open Economy," Working Papers 143, Red Nacional de Investigadores en Economía (RedNIE).
    42. Jack Fosten & Daniel Gutknecht, 2021. "Horizon confidence sets," Empirical Economics, Springer, vol. 61(2), pages 667-692, August.
    43. Yunjong Eo & James Morley, 2022. "Why Has the U.S. Economy Stagnated since the Great Recession?," The Review of Economics and Statistics, MIT Press, vol. 104(2), pages 246-258, May.
    44. Michael Chin & Ferre De Graeve & Thomai Filippeli & Konstantinos Theodoridis, 2022. "Understanding International Long-term Interest Rate Comovement," Advances in Econometrics, in: Essays in Honour of Fabio Canova, volume 44, pages 147-189, Emerald Group Publishing Limited.
    45. Matteo Luciani, 2020. "Common and Idiosyncratic Inflation," FEDS Notes 2020-03-05, Board of Governors of the Federal Reserve System (U.S.).
    46. Bassi, Federico, 2024. "Excess capacity and hysteresis in EU Countries. A structural approach," Structural Change and Economic Dynamics, Elsevier, vol. 71(C), pages 116-134.
    47. Krist'of N'emeth & D'aniel Hadh'azi, 2024. "Generating density nowcasts for U.S. GDP growth with deep learning: Bayes by Backprop and Monte Carlo dropout," Papers 2405.15579, arXiv.org.
    48. Florian Huber & Gary Koop, 2023. "Fast and Order-invariant Inference in Bayesian VARs with Non-Parametric Shocks," Papers 2305.16827, arXiv.org.
    49. David Kiefer & Ivan Mendieta-Muñoz & Codrina Rada & Rudiger von Arnim, 2020. "Secular Stagnation and Income Distribution Dynamics," Review of Radical Political Economics, Union for Radical Political Economics, vol. 52(2), pages 189-207, June.
    50. Fritz, Marlon, 2019. "Steady state adjusting trends using a data-driven local polynomial regression," Economic Modelling, Elsevier, vol. 83(C), pages 312-325.
    51. Demetrescu, Matei & Kruse-Becher, Robinson, 2025. "Is U.S. real output growth non-normal? A tale of time-varying location and scale," Journal of Economic Dynamics and Control, Elsevier, vol. 171(C).
    52. Iseringhausen, Martin, 2024. "A time-varying skewness model for Growth-at-Risk," International Journal of Forecasting, Elsevier, vol. 40(1), pages 229-246.
    53. Nikita D. Fokin & Ekaterina V. Malikova & Andrey V. Polbin, 2024. "Time-varying parameters error correction model for real ruble exchange rate and oil prices: What has changed due to capital control and sanctions?," Russian Journal of Economics, ARPHA Platform, vol. 10(1), pages 20-33, March.
    54. Beames, Alexander & Kulish, Mariano & Yamout, Nadine, 2020. "Implications of the Slowdown in Trend Growth for Fiscal Policy in a Small Open Economy," Working Papers 2020-17, University of Sydney, School of Economics.
    55. Belomestny, Denis & Krymova, Ekaterina & Polbin, Andrey, 2021. "Bayesian TVP-VARX models with time invariant long-run multipliers," Economic Modelling, Elsevier, vol. 101(C).
    56. Nicholas Oulton, 2018. "The UK (and Western) Productivity Puzzle: Does Arthur Lewis Hold the Key?," Discussion Papers 1809, Centre for Macroeconomics (CFM).
    57. Lu, Fei & Ma, Feng & Hu, Shiyang, 2024. "Does energy consumption play a key role? Re-evaluating the energy consumption-economic growth nexus from GDP growth rates forecasting," Energy Economics, Elsevier, vol. 129(C).
    58. Li, Mengheng & Mendieta-Muñoz, Ivan, 2024. "Dynamic hysteresis effects," Journal of Economic Dynamics and Control, Elsevier, vol. 163(C).
    59. Fosten, Jack, 2019. "CO2 emissions and economic activity: A short-to-medium run perspective," Energy Economics, Elsevier, vol. 83(C), pages 415-429.
    60. Ziesemer, Thomas, 2021. "Labour-augmenting technical change data for alternative elasticities of substitution, growth, slowdown, and distribution dynamics," MERIT Working Papers 2021-003, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    61. Kohns, David & Potjagailo, Galina, 2023. "Flexible Bayesian MIDAS: time‑variation, group‑shrinkage and sparsity," Bank of England working papers 1025, Bank of England.
    62. Weiske, Sebastian, 2019. "Indicator-based estimates of the output gap in the euro area," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203604, Verein für Socialpolitik / German Economic Association.
    63. González-Astudillo, Manuel & Baquero, Daniel, 2019. "A nowcasting model for Ecuador: Implementing a time-varying mean output growth," Economic Modelling, Elsevier, vol. 82(C), pages 250-263.
    64. Antolín-Díaz, Juan & Drechsel, Thomas & Petrella, Ivan, 2024. "Advances in nowcasting economic activity: The role of heterogeneous dynamics and fat tails," Journal of Econometrics, Elsevier, vol. 238(2).
    65. Magnus Reif, 2020. "Macroeconomics, Nonlinearities, and the Business Cycle," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 87, September.
    66. Ben Broadbent & Federico Di Pace & Thomas Drechsel & Richard Harrison & Silvana Tenreyro, 2019. "The Brexit Vote, Productivity Growth and Macroeconomic Adjustments in the United Kingdom," Discussion Papers 1916, Centre for Macroeconomics (CFM).
    67. Nicolo Maffei-Faccioli, 2020. "Identifying the Sources of the Slowdown in Growth: Demand vs. Supply," 2020 Papers pma2978, Job Market Papers.
    68. Mendieta-Muñoz Ivan, 2024. "Time-varying Investment Dynamics in the USA," Economics - The Open-Access, Open-Assessment Journal, De Gruyter, vol. 18(1), pages 1-18.
    69. Matteo Barigozzi & Matteo Luciani, 2019. "Quasi Maximum Likelihood Estimation and Inference of Large Approximate Dynamic Factor Models via the EM algorithm," Papers 1910.03821, arXiv.org, revised Sep 2024.
    70. Paul Labonne, 2020. "Asymmetric uncertainty : Nowcasting using skewness in real-time data," Papers 2012.02601, arXiv.org, revised May 2024.
    71. Valentinyi, Akos & Herrendorf, Berthold & Duernecker, Georg, 2017. "Structural Change within the Service Sector and the Future of Baumol's Disease," CEPR Discussion Papers 12467, C.E.P.R. Discussion Papers.
    72. Matteo Barigozzi & Claudio Lissona & Matteo Luciani, 2024. "Measuring the Euro Area Output Gap," Finance and Economics Discussion Series 2024-099, Board of Governors of the Federal Reserve System (U.S.).
    73. Mengheng Li & Ivan Mendieta-Muñoz, 2019. "Are long-run output growth rates falling?," Working Papers 2019.07, International Network for Economic Research - INFER.
    74. Götz, Thomas B. & Hauzenberger, Klemens, 2018. "Large mixed-frequency VARs with a parsimonious time-varying parameter structure," Discussion Papers 40/2018, Deutsche Bundesbank.
    75. Akos Valentinyi & Georg Duernecker, 2017. "Unbalanced Growth Slowdown," 2017 Meeting Papers 822, Society for Economic Dynamics.
    76. Weiske, Sebastian, 2018. "Indicator-based estimates of the output gap in the euro area," Working Papers 12/2018, German Council of Economic Experts / Sachverständigenrat zur Begutachtung der gesamtwirtschaftlichen Entwicklung.
    77. Robert Lehmann & Lara Zarges, 2024. "What Drives German Trend Output Growth? A Sectoral View," CESifo Working Paper Series 11089, CESifo.
    78. Thomas B Götz & Klemens Hauzenberger, 2021. "Large mixed-frequency VARs with a parsimonious time-varying parameter structure," The Econometrics Journal, Royal Economic Society, vol. 24(3), pages 442-461.
    79. Jaeho Kim & Sora Chon, 2022. "Bayesian estimation of the long-run trend of the US economy," Empirical Economics, Springer, vol. 62(2), pages 461-485, February.
    80. Klaus Gründler & Niklas Potrafke, 2023. "Population Aging, Retirement, and Aggregate Productivity," CESifo Working Paper Series 10594, CESifo.
    81. Nicholas Crafts, 2017. "Is Slow Economic Growth the ‘New Normal’ for Europe?," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 45(3), pages 283-297, September.
    82. Iftekhar Hasan & Stefano Manfredonia, 2021. "Productivity, managers' social connections and the Great Recession," CEIS Research Paper 507, Tor Vergata University, CEIS, revised 10 Mar 2021.
    83. Paul Labonne, 2022. "Asymmetric Uncertainty: Nowcasting Using Skewness in Real-time Data," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2022-23, Economic Statistics Centre of Excellence (ESCoE).
    84. Boriss Siliverstovs, 2021. "Gauging the Effect of Influential Observations on Measures of Relative Forecast Accuracy in a Post-COVID-19 Era: Application to Nowcasting Euro Area GDP Growth," Working Papers 2021/01, Latvijas Banka.
    85. Luciano Campos & Danilo Leiva-León & Steven Zapata- Álvarez, 2022. "Latin American Falls, Rebounds and Tail Risks," Borradores de Economia 1201, Banco de la Republica de Colombia.
    86. Matteo Barigozzi & Matteo Luciani, 2017. "Common Factors, Trends, and Cycles in Large Datasets," Finance and Economics Discussion Series 2017-111, Board of Governors of the Federal Reserve System (U.S.).
    87. Matei Demetrescu & Robinson Kruse-Becher, 2021. "Is U.S. real output growth really non-normal? Testing distributional assumptions in time-varying location-scale models," CREATES Research Papers 2021-07, Department of Economics and Business Economics, Aarhus University.
    88. Denis Belomestny & Ekaterina Krymova & Andrey Polbin, 2020. "Estimating TVP-VAR models with time invariant long-run multipliers," Papers 2008.00718, arXiv.org.
    89. Saeed Zaman, 2021. "A Unified Framework to Estimate Macroeconomic Stars," Working Papers 21-23R2, Federal Reserve Bank of Cleveland, revised 31 May 2024.

  19. Petrella, Ivan & Venditti, Fabrizio & Delle Monache, Davide, 2016. "Adaptive state space models with applications to the business cycle and financial stress," CEPR Discussion Papers 11599, C.E.P.R. Discussion Papers.

    Cited by:

    1. George Kapetanios & Massimiliano Marcellino & Fabrizio Venditti, 2017. "Large time-varying parameter VARs: a non-parametric approach," Temi di discussione (Economic working papers) 1122, Bank of Italy, Economic Research and International Relations Area.
    2. Angelini, Giovanni & Gorgi, Paolo, 2018. "DSGE Models with observation-driven time-varying volatility," Economics Letters, Elsevier, vol. 171(C), pages 169-171.
    3. Caterina Schiavoni & Siem Jan Koopman & Franz Palm & Stephan Smeekes & Jan van den Brakel, 2021. "Time-varying state correlations in state space models and their estimation via indirect inference," Tinbergen Institute Discussion Papers 21-020/III, Tinbergen Institute.
    4. Blasques, F. & Gorgi, P. & Koopman, S.J., 2021. "Missing observations in observation-driven time series models," Journal of Econometrics, Elsevier, vol. 221(2), pages 542-568.
    5. Giuseppe Buccheri & Giacomo Bormetti & Fulvio Corsi & Fabrizio Lillo, 2018. "A Score-Driven Conditional Correlation Model for Noisy and Asynchronous Data: an Application to High-Frequency Covariance Dynamics," Papers 1803.04894, arXiv.org, revised Mar 2019.
    6. Bahcivan, Hulusi & Karahan, Cenk C., 2022. "High frequency correlation dynamics and day-of-the-week effect: A score-driven approach in an emerging market stock exchange," International Review of Financial Analysis, Elsevier, vol. 80(C).
    7. Simone Auer, 2017. "A Financial Conditions Index for the CEE economies," Temi di discussione (Economic working papers) 1145, Bank of Italy, Economic Research and International Relations Area.
    8. Giacomo Bormetti & Fulvio Corsi, 2021. "A Lucas Critique Compliant SVAR model with Observation-driven Time-varying Parameters," Papers 2107.05263, arXiv.org, revised Feb 2022.
    9. Giovanni Angelini & Paolo Gorgi, 2018. "DSGE Models with Observation-Driven Time-Varying parameters," Tinbergen Institute Discussion Papers 18-030/III, Tinbergen Institute.

  20. Delle Monache & Ivan Petrella & Fabrizio Venditti, 2015. "Common faith or parting ways? A time varying parameters factor analysis of euro-area inflation," Birkbeck Working Papers in Economics and Finance 1515, Birkbeck, Department of Economics, Mathematics & Statistics.

    Cited by:

    1. Koop, G & Korobilis, D, 2018. "Forecasting with High-Dimensional Panel VARs," Essex Finance Centre Working Papers 21329, University of Essex, Essex Business School.
    2. Lodge, David & Pérez, Javier J. & Albrizio, Silvia & Everett, Mary & De Bandt, Olivier & Georgiadis, Georgios & Ca' Zorzi, Michele & Lastauskas, Povilas & Carluccio, Juan & Parraga Rodriguez, Susana &, 2021. "The implications of globalisation for the ECB monetary policy strategy," Occasional Paper Series 263, European Central Bank.
    3. Francisco Corona & Pilar Poncela & Esther Ruiz, 2017. "Determining the number of factors after stationary univariate transformations," Empirical Economics, Springer, vol. 53(1), pages 351-372, August.
    4. Stefano Neri & Stefano Siviero, 2019. "The non-standard monetary policy measures of the ECB: motivations, effectiveness and risks," Questioni di Economia e Finanza (Occasional Papers) 486, Bank of Italy, Economic Research and International Relations Area.
    5. Fabio Busetti & Michele Caivano & Davide Delle Monache, 2019. "Domestic and global determinants of inflation: evidence from expectile regression," Temi di discussione (Economic working papers) 1225, Bank of Italy, Economic Research and International Relations Area.
    6. Marcellino, Massimiliano & Carriero, Andrea & Corsello, Francesco, 2019. "The Global Component of Inflation Volatility," CEPR Discussion Papers 13470, C.E.P.R. Discussion Papers.
    7. Giuseppe Buccheri & Giacomo Bormetti & Fulvio Corsi & Fabrizio Lillo, 2018. "A Score-Driven Conditional Correlation Model for Noisy and Asynchronous Data: an Application to High-Frequency Covariance Dynamics," Papers 1803.04894, arXiv.org, revised Mar 2019.
    8. Giacomo Bormetti & Fulvio Corsi, 2021. "A Lucas Critique Compliant SVAR model with Observation-driven Time-varying Parameters," Papers 2107.05263, arXiv.org, revised Feb 2022.

  21. Davide Delle Monache & Ivan Petrella, 2014. "Adaptive Models and Heavy Tails," Birkbeck Working Papers in Economics and Finance 1409, Birkbeck, Department of Economics, Mathematics & Statistics.

    Cited by:

    1. Stefano Grassi & Paolo Santucci de Magistris, 2013. "It's all about volatility of volatility: evidence from a two-factor stochastic volatility model," Studies in Economics 1404, School of Economics, University of Kent.
    2. Barbara Rossi, 2021. "Forecasting in the Presence of Instabilities: How We Know Whether Models Predict Well and How to Improve Them," Journal of Economic Literature, American Economic Association, vol. 59(4), pages 1135-1190, December.
    3. Francisco Blasques & Paolo Gorgi & Siem Jan Koopman & Olivier Wintenberger, 2018. "Feasible Invertibility Conditions for Maximum Likelihood Estimation for Observation-Driven Models," Post-Print hal-01377971, HAL.
    4. Mogens Fosgerau & Jinwon Kim & Abhishek Ranjan, 2017. "Vickrey Meets Alonso: Commute Scheduling and Congestion in a Monocentric City," Discussion Papers 17-25, University of Copenhagen. Department of Economics.
    5. George Kapetanios & Massimiliano Marcellino & Fabrizio Venditti, 2017. "Large time-varying parameter VARs: a non-parametric approach," Temi di discussione (Economic working papers) 1122, Bank of Italy, Economic Research and International Relations Area.
    6. Mauro Bernardi & Leopoldo Catania, 2016. "Comparison of Value-at-Risk models using the MCS approach," Computational Statistics, Springer, vol. 31(2), pages 579-608, June.
    7. Dave, Chetan & Malik, Samreen, 2017. "A tale of fat tails," European Economic Review, Elsevier, vol. 100(C), pages 293-317.
    8. Francisco Blasques & Paolo Gorgi & Siem Jan Koopman & Olivier Wintenberger, 2016. "Feasible Invertibility Conditions and Maximum Likelihood Estimation for Observation-Driven Models," Tinbergen Institute Discussion Papers 16-082/III, Tinbergen Institute.
    9. Francisco Blasques & Siem Jan Koopman & André Lucas, 2014. "Optimal Formulations for Nonlinear Autoregressive Processes," Tinbergen Institute Discussion Papers 14-103/III, Tinbergen Institute.
    10. Petrella, Ivan & Venditti, Fabrizio & Delle Monache, Davide, 2016. "Adaptive state space models with applications to the business cycle and financial stress," CEPR Discussion Papers 11599, C.E.P.R. Discussion Papers.

  22. Petrella, Ivan & Pfajfar, Damjan & Santoro, Emiliano & Gaffeo, Edoardo, 2014. "Loss Aversion and the Asymmetric Transmission of Monetary Policy," CEPR Discussion Papers 10105, C.E.P.R. Discussion Papers.

    Cited by:

    1. Grégory LEVIEUGE & Jean-Guillaume SAHUC, 2020. "Monetary policy transmission with downward interest rate rigidity," LEO Working Papers / DR LEO 2744, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    2. Alexander Doser & Ricardo Nunes & Nikhil Rao & Viacheslav Sheremirov, 2017. "Inflation expectations and nonlinearities in the Phillips curve," Working Papers 17-11, Federal Reserve Bank of Boston.
    3. Fergus Cumming & Paul Hubert, 2019. "The role of households' borrowing constraints in the transmission of monetary policy," SciencePo Working papers Main hal-03403257, HAL.
    4. de Ridder, M. & Pfajfar, D., 2017. "Policy Shocks and Wage Rigidities: Empirical Evidence from Regional Effects of National Shocks," Cambridge Working Papers in Economics 1717, Faculty of Economics, University of Cambridge.
    5. Nathan R. Babb & Alan K. Detmeister, 2017. "Nonlinearities in the Phillips Curve for the United States : Evidence Using Metropolitan Data," Finance and Economics Discussion Series 2017-070, Board of Governors of the Federal Reserve System (U.S.).
    6. Velasco, Sofia, 2024. "Asymmetries in the transmission of monetary policy shocks over the business cycle: a Bayesian Quantile Factor Augmented VAR," Working Paper Series 2983, European Central Bank.
    7. Grégory Levieuge & Jean-Guillaume Sahuc, 2021. "Downward Interest Rate Rigidity," Working papers 828, Banque de France.
    8. Daragh Clancy & Lorenzo Ricci, 2019. "Loss aversion, economic sentiments and international consumption smoothing," Working Papers 35, European Stability Mechanism.
    9. Frederic Boissay & Fabrice Collard & Cristina Manea & Adam Shapiro, 2023. "Monetary tightening, inflation drivers and financial stress," BIS Working Papers 1155, Bank for International Settlements.
    10. Felix S. Nyumuah, 2018. "Testing for Asymmetric Central Bank Preferences," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 10(4), pages 25-32, April.
    11. Alessandri, Piergiorgio & Jordà , Òscar & Venditti, Fabrizio, 2023. "Decomposing the monetary policy multiplier," CEPR Discussion Papers 18166, C.E.P.R. Discussion Papers.
    12. Redkin, Nikita (Редкин, Никита), 2020. "Optimization of Investment Portfolios Taking into Account the Behavioral Perception of Monetary Policy [Оптимизация Инвестиционных Портфелей С Учетом Поведенческого Восприятия Денежно-Кредитной Пол," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 3, pages 44-73, June.
    13. Claus, Edda & Nguyen, Viet Hoang, 2020. "Monetary policy shocks from the consumer perspective," Journal of Monetary Economics, Elsevier, vol. 114(C), pages 159-173.
    14. Federico Favaretto & Donato Masciandaro, 2014. "Behavioral Economics and Monetary Policy," BAFFI CAREFIN Working Papers 1501, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    15. Youngju Kim & Hyunjoon Lim, 2017. "Transmission of Monetary Policy in Times of High Household Debt," Working Papers 2017-35, Economic Research Institute, Bank of Korea.
    16. William Morrison, Robert Oxoby, 2016. "Risk Taking, Intertemporal Choice, and Loss Aversion," LCERPA Working Papers 0096, Laurier Centre for Economic Research and Policy Analysis, revised 01 Jul 2016.
    17. Kamalyan, Hayk, 2021. "Phase-Dependent Monetary and Fiscal Policy," MPRA Paper 110341, University Library of Munich, Germany.
    18. O. Klishchuk, 2018. "The low sensibility of monetary transmission mechanism in low-income countries," Economy and Forecasting, Valeriy Heyets, issue 4, pages 129-150.
    19. Piergiorgio Alessandri & Antonio M. Conti & Fabrizio Venditti, 2016. "The Financial Stability Dark Side of Monetary Policy," BCAM Working Papers 1601, Birkbeck Centre for Applied Macroeconomics.
    20. Sorić, Petar & Lolić, Ivana & Claveria, Oscar & Monte, Enric & Torra, Salvador, 2019. "Unemployment expectations: A socio-demographic analysis of the effect of news," Labour Economics, Elsevier, vol. 60(C), pages 64-74.
    21. Rothfelder, Mario & Boldea, Otilia, 2016. "Testing for a Threshold in Models with Endogenous Regressors," Other publications TiSEM 40ca581a-e228-49ae-911f-e, Tilburg University, School of Economics and Management.
    22. Mario Forni & Luca Sala & Luca Gambetti & Davide Debortoli, 2023. "Asymmetric Monetary Policy Tradeoffs," Working Papers 1404, Barcelona School of Economics.
    23. Bursian, Dirk & Faia, Ester, 2013. "Trust in the monetary authority," SAFE Working Paper Series 14, Leibniz Institute for Financial Research SAFE, revised 2013.
    24. Di Bartolomeo, Giovanni & Di Pietro, Marco & Giannini, Bianca, 2020. "Optimal monetary policy in a New Keynesian model with heterogeneous expectations," Dynare Working Papers 54, CEPREMAP.
    25. Christoph Boehm & Nitya Pandalai Nayar, 2018. "Are supply curves convex? Implications for state-dependent responses to shocks," 2018 Meeting Papers 336, Society for Economic Dynamics.
    26. Giovanni Di Bartolomeo & Carolina Serpieri, 2018. "Robust Optimal Policies in a Behavioural New Keynesian Model," JRC Research Reports JRC111603, Joint Research Centre.
    27. Robert Oxoby & William G. Morrison, "undated". "Asset Integration, Risk Taking and Loss Aversion in the Laboratory," Working Papers 2019-04, Department of Economics, University of Calgary, revised 30 Jan 2019.
    28. Davide Debortoli & Mario Forni & Luca Gambetti & Luca Sala, 2020. "Asymmetric Effects of Monetary Policy Easing and Tightening," Center for Economic Research (RECent) 146, University of Modena and Reggio E., Dept. of Economics "Marco Biagi".
    29. David Rezza Baqaee, 2015. "Asymmetric Inflation Expectations, Downward Rigidity of Wages and Asymmetric Business Cycles," Discussion Papers 1601, Centre for Macroeconomics (CFM).
    30. Ciccarone, Giuseppe & Giuli, Francesco & Marchetti, Enrico, 2019. "Macroeconomic equilibrium and nominal price rigidities under imperfect rationality," Journal of Macroeconomics, Elsevier, vol. 60(C), pages 60-78.
    31. Lena Dräger & Jan-Oliver Menz & Ulrich Fritsche, 2011. "Perceived Inflation under Loss Aversion," Macroeconomics and Finance Series 201105, University of Hamburg, Department of Socioeconomics.
    32. Elisabeth Falck & Mathias Hoffmann & Patrick Hürtgen, 2018. "Disagreement and Monetary Policy," 2018 Meeting Papers 655, Society for Economic Dynamics.
    33. Dominika Czyz & Karolina Safarzynska, 2023. "Catastrophic Damages and the Optimal Carbon Tax Under Loss Aversion," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 85(2), pages 303-340, June.
    34. van den End, Jan Willem & Konietschke, Paul & Samarina, Anna & Stanga, Irina M., 2021. "Macroeconomic reversal rate in a low interest rate environment," Working Paper Series 2620, European Central Bank.
    35. Yingying Xu & Zhixin Liu & Zichao Jia & Chi-Wei Su, 2017. "Is time-variant information stickiness state-dependent?," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 16(3), pages 169-187, December.
    36. Lena Dräger & Michael J. Lamla & Damjan Pfajfar & Lena Dräger & Michael Lamla, 2022. "The Hidden Heterogeneity of Inflation and Interest Rate Expectations: The Role of Preferences," CESifo Working Paper Series 9637, CESifo.
    37. Ciccarone Giuseppe & Giuli Francesco & Marchetti Enrico, 2020. "Prospect Theory and sentiment-driven fluctuations," The B.E. Journal of Macroeconomics, De Gruyter, vol. 20(1), pages 1-25, January.
    38. Travis J. Berge & Damjan Pfajfar, 2019. "Duration Dependence, Monetary Policy Asymmetries, and the Business Cycle," Finance and Economics Discussion Series 2019-020, Board of Governors of the Federal Reserve System (U.S.).
    39. Berge, Travis & De Ridder, Maarten & Pfajfar, Damjan, 2021. "When is the fiscal multiplier high? A comparison of four business cycle phases," LSE Research Online Documents on Economics 111517, London School of Economics and Political Science, LSE Library.
    40. Clancy, Daragh & Ricci, Lorenzo, 2022. "Economic sentiments and international risk sharing," International Economics, Elsevier, vol. 169(C), pages 208-229.
    41. Lena Dräger & Michael J. Lamla & Damjan Pfajfar, 2020. "The Hidden Heterogeneity of Inflation Expectations and its Implications," Finance and Economics Discussion Series 2020-054, Board of Governors of the Federal Reserve System (U.S.).
    42. André Lunardelli & Marcio Issao Nakane, 2019. "The New Keynesian Model and Sacrifice Ratios: Some Measurement Issues," Working Papers, Department of Economics 2019_18, University of São Paulo (FEA-USP).
    43. Ying Li & Ying Cheng, 2024. "A Risk Management Strategy under Transfer Pricing for Multi-National Supply Chain along the Belt and Road Initiative," Sustainability, MDPI, vol. 16(17), pages 1-24, September.
    44. Barnichon, Regis & Matthes, Christian, 2016. "Gaussian Mixture Approximations of Impulse Responses and The Non-Linear Effects of Monetary Shocks," CEPR Discussion Papers 11374, C.E.P.R. Discussion Papers.
    45. Christian Matthes & Regis Barnichon, 2015. "Measuring the Non-Linear Effects of Monetary Policy," 2015 Meeting Papers 49, Society for Economic Dynamics.
    46. Faia, Ester & Curatola, Giuliano, 2016. "Divergent Reference-Dependent Risk-Attitudes and Endogenous Collateral Constraints," CEPR Discussion Papers 11678, C.E.P.R. Discussion Papers.
    47. Manuchehr Irandoust, 2020. "The effectiveness of monetary policy and output fluctuations: An asymmetric analysis," Australian Economic Papers, Wiley Blackwell, vol. 59(2), pages 161-181, June.
    48. Gross, Isaac & Hansen, James, 2021. "Optimal policy design in nonlinear DSGE models: An n-order accurate approximation," European Economic Review, Elsevier, vol. 140(C).
    49. Vincenzo Cuciniello, 2024. "Market perceptions, monetary policy, and credibility," Temi di discussione (Economic working papers) 1449, Bank of Italy, Economic Research and International Relations Area.
    50. Silvia Goncalves & Ana María Herrera & Lutz Kilian & Elena Pesavento, 2023. "State-Dependent Local Projections," Working Papers 2302, Federal Reserve Bank of Dallas.
    51. Jaccard, Ivan, 2018. "Stochastic discounting and the transmission of money supply shocks," Working Paper Series 2174, European Central Bank.
    52. Xue, Wenjun & Zhang, Liwen, 2019. "Revisiting the asymmetric effects of bank credit on the business cycle: A panel quantile regression approach," The Journal of Economic Asymmetries, Elsevier, vol. 20(C).
    53. Mary Everett & Jakob de Haan & David‐Jan Jansen & Peter McQuade & Anna Samarina, 2021. "Mortgage lending, monetary policy, and prudential measures in small euro‐area economies: Evidence from Ireland and the Netherlands," Review of International Economics, Wiley Blackwell, vol. 29(1), pages 117-143, February.
    54. Jaccard, Ivan, 2024. "Monetary asymmetries without (and with) price stickiness," Working Paper Series 2928, European Central Bank.
    55. Brana, Sophie & Prat, Stéphanie, 2016. "The effects of global excess liquidity on emerging stock market returns: Evidence from a panel threshold model," Economic Modelling, Elsevier, vol. 52(PA), pages 26-34.
    56. Fergus Cumming & Paul Hubert, 2019. "The Role of Households' Borrowing Constraints in the Transmission of Monetary Policy This paper investigates how the transmission of monetary policy to the real economy depends on the distribution of ," Documents de Travail de l'OFCE 2019-20, Observatoire Francais des Conjonctures Economiques (OFCE).
    57. Martin Bruns & Michele Piffer, 2021. "Monetary policy shocks over the business cycle: Extending the Smooth Transition framework," University of East Anglia School of Economics Working Paper Series 2021-07, School of Economics, University of East Anglia, Norwich, UK..
    58. Feld, Lars P. & Schmidt, Christoph M. & Schnabel, Isabel & Truger, Achim & Wieland, Volker, 2019. "Den Strukturwandel meistern. Jahresgutachten 2019/20 [Dealing with Structural Change. Annual Report 2019/20]," Annual Economic Reports / Jahresgutachten, German Council of Economic Experts / Sachverständigenrat zur Begutachtung der gesamtwirtschaftlichen Entwicklung, volume 127, number 201920.
    59. Kwangyong Park, 2019. "Uncertainty, Attention Allocation and Monetary Policy Asymmetry," Working Papers 2019-5, Economic Research Institute, Bank of Korea.
    60. Ömür Saltık & Wasim ul Rehman & Rıdvan Söyü & Süleyman Değirmen & Ahmet Şengönül, 2023. "Predicting loss aversion behavior with machine-learning methods," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-14, December.
    61. Rosen Azad Chowdhury & Dilshad Jahan & Tapas Mishra & Mamata Parhi, 2024. "Monetary policy shock and impact asymmetry in bank lending channel: Evidence from the UK housing sector," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(1), pages 511-530, January.
    62. Federico Favaretto & Donato Masciandaro, 2016. "Too Little, Too Late? Monetary Policymaking Inertia and Psychology: A Behavioral Model," BAFFI CAREFIN Working Papers 1617, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    63. Saini, Seema & Ahmad, Wasim & Bekiros, Stelios, 2021. "Understanding the credit cycle and business cycle dynamics in India," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 988-1006.
    64. Frédéric Karamé, 2015. "Asymmetries and Markov-switching structural VAR," Post-Print hal-02296101, HAL.
    65. Giuseppe Ciccarone & Francesco Giuli, 2013. "Imperfect rationality, macroeconomic equilibrium and price rigidities," Departmental Working Papers of Economics - University 'Roma Tre' 0183, Department of Economics - University Roma Tre.
    66. Kim, Youngju & Lim, Hyunjoon, 2020. "Transmission of monetary policy in times of high household debt," Journal of Macroeconomics, Elsevier, vol. 63(C).
    67. Mishel Ghassibe, 2024. "Endogenous Production Networks and Non-Linear Monetary Transmission," Working Papers 1449, Barcelona School of Economics.

  23. Distante, Roberta & Petrella, Ivan & Santoro, Emiliano, 2014. "Size, Age and the Growth of Firms: New Evidence from Quantile Regressions," Economy and Society 179223, Fondazione Eni Enrico Mattei (FEEM).

    Cited by:

    1. Roberta Distante & Ivan Petrella & Emiliano Santoro, 2013. "Asymmetry Reversals and the Business Cycle," Working Papers 2013.54, Fondazione Eni Enrico Mattei.
    2. Fornaro, Paolo & Luomaranta, Henri, 2016. "Job Creation and the Role of Dependencies," ETLA Working Papers 44, The Research Institute of the Finnish Economy.
    3. Riccardo Leoncini & Alberto Marzucchi & Sandro Montresor & Francesco Rentocchini & Ugo Rizzo, 2016. "‘Better late than never’: a longitudinal quantile regression approach to the interplay between green technology and age for firm growth," SEEDS Working Papers 0616, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised May 2016.
    4. Riccardo Leoncini & Alberto Marzucchi & Sandro Montresor & Francesco Rentocchini & Ugo Rizzo, 2019. "‘Better late than never’: the interplay between green technology and age for firm growth," Small Business Economics, Springer, vol. 52(4), pages 891-904, April.

  24. Petrella, Ivan & Drechsel, Thomas & Antolin-Diaz, Juan, 2014. "Following the Trend: Tracking GDP when Long-Run Growth is Uncertain," CEPR Discussion Papers 10272, C.E.P.R. Discussion Papers.

    Cited by:

    1. Huber, Kilian, 2018. "Disentangling the effects of a banking crisis: evidence from German firms and counties," LSE Research Online Documents on Economics 87410, London School of Economics and Political Science, LSE Library.
    2. Leena Rudanko & Per Krusell, 2012. "Unions in a Frictional Labor Market," Boston University - Department of Economics - Working Papers Series WP2012-014, Boston University - Department of Economics.
    3. Matutinović, Igor & Salthe, Stanley N. & Ulanowicz, Robert E., 2016. "The mature stage of capitalist development: Models, signs and policy implications," Structural Change and Economic Dynamics, Elsevier, vol. 39(C), pages 17-30.
    4. Petrella, Ivan & Venditti, Fabrizio & Delle Monache, Davide, 2016. "Adaptive state space models with applications to the business cycle and financial stress," CEPR Discussion Papers 11599, C.E.P.R. Discussion Papers.

  25. Petrella, Ivan & Juvenal, Luciana, 2014. "Speculation in the Oil Market," CEPR Discussion Papers 9808, C.E.P.R. Discussion Papers.

    Cited by:

    1. Kyritsis, Evangelos & Serletis, Apostolos, 2017. "The Zero Lower Bound and Market Spillovers: Evidence from the G7 and Norway," Discussion Papers 2017/7, Norwegian School of Economics, Department of Business and Management Science.
    2. Kuruppuarachchi, Duminda & Premachandra, I.M., 2016. "Information spillover dynamics of the energy futures market sector: A novel common factor approach," Energy Economics, Elsevier, vol. 57(C), pages 277-294.
    3. Irwin, Scott H. & Sanders, Dwight R., 2012. "Financialization and Structural Change in Commodity Futures Markets," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 44(3), pages 1-26, August.
    4. Ing-Haw Cheng & Wei Xiong, 2014. "Financialization of Commodity Markets," Annual Review of Financial Economics, Annual Reviews, vol. 6(1), pages 419-441, December.
    5. Ron Alquist & Gregory Bauer & Antonio Diez de los Rios, 2014. "What Does the Convenience Yield Curve Tell Us about the Crude Oil Market?," Staff Working Papers 14-42, Bank of Canada.
    6. Mensi, Walid & Rehman, Mobeen Ur & Maitra, Debasish & Al-Yahyaee, Khamis Hamed & Vo, Xuan Vinh, 2021. "Oil, natural gas and BRICS stock markets: Evidence of systemic risks and co-movements in the time-frequency domain," Resources Policy, Elsevier, vol. 72(C).
    7. Marc Joëts, 2013. "Heterogeneous beliefs, regret, and uncertainty: The role of speculation in energy price dynamics," Working Papers 2013-31, Department of Research, Ipag Business School.
    8. Delle Chiaie, Simona & Ferrara, Laurent & Giannone, Domenico, 2018. "Common factors of commodity prices," Research Bulletin, European Central Bank, vol. 51.
    9. Kilian, Lutz, 2019. "Facts and Fiction in Oil Market Modeling," CEPR Discussion Papers 14047, C.E.P.R. Discussion Papers.
    10. Peersman, Gert & Rüth, Sebastian K. & Van der Veken, Wouter, 2019. "The interplay between oil and food commodity prices: Has It changed over time?," Working Papers 0665, University of Heidelberg, Department of Economics.
    11. Daniele Valenti & Matteo Manera & Alessandro Sbuelz, 2018. "Interpreting the Oil Risk Premium: do Oil Price Shocks Matter?," Working Papers 2018.03, Fondazione Eni Enrico Mattei.
    12. Bernabe Lopez-Martin & Julio Leal & Andre Martinez Fritscher, 2017. "Commodity price risk management and fiscal policy in a sovereign default model," BIS Working Papers 620, Bank for International Settlements.
    13. Valenti, Daniele & Bastianin, Andrea & Manera, Matteo, "undated". "A weekly structural VAR model of the US crude oil market," FEEM Working Papers 324040, Fondazione Eni Enrico Mattei (FEEM).
    14. Michail Anthropelos & Michael Kupper & Antonis Papapantoleon, 2015. "An equilibrium model for spot and forward prices of commodities," Papers 1502.00674, arXiv.org, revised Jan 2017.
    15. Öztunç Kaymak, Öznur & Kaymak, Yiğit, 2022. "Prediction of crude oil prices in COVID-19 outbreak using real data," Chaos, Solitons & Fractals, Elsevier, vol. 158(C).
    16. Kilian, Lutz & Fattouh, Bassam & Mahadeva, Lavan, 2012. "The Role of Speculation in Oil Markets: What Have We Learned So Far?," CEPR Discussion Papers 8916, C.E.P.R. Discussion Papers.
    17. Jorge Toro & Aarón Garavito & David Camilo López & Enrique Montes, 2015. "El choque petrolero y sus implicaciones en la economía colombiana," Borradores de Economia 906, Banco de la Republica de Colombia.
    18. Claudio Morana, 2016. "Macroeconomic and Financial Effects of Oil Price Shocks: Evidence for the Euro Area," CeRP Working Papers 158, Center for Research on Pensions and Welfare Policies, Turin (Italy).
    19. Coletti, Donald & Lalonde, René & Masson, Paul & Muir, Dirk & Snudden, Stephen, 2021. "Commodities and monetary policy: Implications for inflation and price level targeting," Journal of Policy Modeling, Elsevier, vol. 43(5), pages 982-999.
    20. Krzysztof Drachal & Michał Pawłowski, 2024. "Forecasting Selected Commodities’ Prices with the Bayesian Symbolic Regression," IJFS, MDPI, vol. 12(2), pages 1-56, March.
    21. Mayer, Herbert & Rathgeber, Andreas & Wanner, Markus, 2017. "Financialization of metal markets: Does futures trading influence spot prices and volatility?," Resources Policy, Elsevier, vol. 53(C), pages 300-316.
    22. Oliyide, Johnson A. & Adekoya, Oluwasegun B. & Khan, Muhammad A., 2021. "Economic policy uncertainty and the volatility connectedness between oil shocks and metal market: An extension," International Economics, Elsevier, vol. 167(C), pages 136-150.
    23. Gogolin, Fabian & Kearney, Fearghal, 2016. "Does speculation impact what factors determine oil futures prices?," Economics Letters, Elsevier, vol. 144(C), pages 119-122.
    24. Juvenal, Luciana & Petrella, Ivan, 2023. "Unveiling the Dance of Commodity Prices and the Global Financial Cycle," CEPR Discussion Papers 18437, C.E.P.R. Discussion Papers.
    25. Di Pace, Federico & Juvenal, Luciana & Petrella, Ivan, 2021. "Terms-of-trade shocks are not all alike," Bank of England working papers 901, Bank of England.
    26. Awan, Obaid A., 2019. "Price discovery or noise: The role of arbitrage and speculation in explaining crude oil price behaviour," Journal of Commodity Markets, Elsevier, vol. 16(C).
    27. Jamie L. Cross & Bao H. Nguyen & Trung Duc Tran, 2022. "The role of precautionary and speculative demand in the global market for crude oil," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(5), pages 882-895, August.
    28. Birge, John R. & Hortaçsu, Ali & Mercadal, Ignacia & Pavlin, J. Michael, 2018. "Limits to arbitrage in electricity markets: A case study of MISO," Energy Economics, Elsevier, vol. 75(C), pages 518-533.
    29. Juan Ignacio Guzmán & Enrique Silva, 2018. "Copper price determination: fundamentals versus non-fundamentals," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 31(3), pages 283-300, October.
    30. Cristina Conflitti and Matteo Luciani, 2019. "Oil Price Pass-through into Core Inflation," The Energy Journal, International Association for Energy Economics, vol. 0(Number 6).
    31. Juan Antolín-Díaz & Juan F. Rubio-Ramírez, 2017. "Narrative Sign Restrictions for SVARs," Working Papers 2017-07, FEDEA.
    32. Derek Bunn & Julien Chevallier & Yannick Le Pen & Benoît Sévi, 2017. "Fundamental and Financial Influences on the Co-movement of Oil and Gas prices," Post-Print hal-01619890, HAL.
    33. Ludwig, Michael, 2019. "Speculation and its impact on liquidity in commodity markets," Resources Policy, Elsevier, vol. 61(C), pages 532-547.
    34. Guo, Jiaqi & Long, Shaobo & Luo, Weijie, 2022. "Nonlinear effects of climate policy uncertainty and financial speculation on the global prices of oil and gas," International Review of Financial Analysis, Elsevier, vol. 83(C).
    35. Yannick Le Pen & Benoît Sévi, 2013. "Futures trading and the excess comovement of commodity prices," Working Papers 2013-19, Department of Research, Ipag Business School.
    36. Lodge, David & Manu, Ana-Simona, 2019. "EME financial conditions: which global shocks matter?," Working Paper Series 2282, European Central Bank.
    37. Kruse, Robinson & Wegener, Christoph, 2020. "Time-varying persistence in real oil prices and its determinant," Energy Economics, Elsevier, vol. 85(C).
    38. Tumala, Mohammed M. & Salisu, Afees & Nmadu, Yaaba B., 2023. "Climate change and fossil fuel prices: A GARCH-MIDAS analysis," Energy Economics, Elsevier, vol. 124(C).
    39. Katrakilidis Constantinos & Zafeiriou Eleni & Sariannidis Nikolaos & Dimitris Bantis, 2019. "Greenhouse gas emissions–crude oil prices: an empirical investigation in a nonlinear framework," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 21(6), pages 2835-2856, December.
    40. Selien De Schryder & Gert Peersman, 2013. "The U.S. Dollar Exchange Rate and the Demand for Oil," CESifo Working Paper Series 4126, CESifo.
    41. Xiaoyong Xiao & Jing Huang, 2018. "Dynamic Connectedness of International Crude Oil Prices: The Diebold–Yilmaz Approach," Sustainability, MDPI, vol. 10(9), pages 1-16, September.
    42. Muhammad Abubakr Naeem & Saqib Farid & Safwan Mohd Nor & Syed Jawad Hussain Shahzad, 2021. "Spillover and Drivers of Uncertainty among Oil and Commodity Markets," Mathematics, MDPI, vol. 9(4), pages 1-26, February.
    43. Belhoula, Mohamed Malek & Mensi, Walid & Al-Yahyaee, Khamis Hamed, 2024. "Dynamic speculation and efficiency in European natural gas markets during the COVID-19 and Russia-Ukraine crises," Resources Policy, Elsevier, vol. 98(C).
    44. Syed Abul, Basher, 2014. "Stock markets and energy prices," MPRA Paper 53863, University Library of Munich, Germany.
    45. Li, Kaixin & Zhang, Zhikai & Wang, Yudong & Zhang, Yaojie, 2024. "Forecasting crude oil returns with oil-related industry ESG indices," Journal of Commodity Markets, Elsevier, vol. 36(C).
    46. Boyd, Naomi E. & Harris, Jeffrey H. & Li, Bingxin, 2018. "An update on speculation and financialization in commodity markets," Journal of Commodity Markets, Elsevier, vol. 10(C), pages 91-104.
    47. Uddin, Gazi Salah & Bekiros, Stelios & Ahmed, Ali, 2018. "The nexus between geopolitical uncertainty and crude oil markets: An entropy-based wavelet analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 495(C), pages 30-39.
    48. Aït-Youcef, Camille & Joëts, Marc, 2024. "The role of index traders in the financialization of commodity markets: A behavioral finance approach," Energy Economics, Elsevier, vol. 136(C).
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    50. Baumeister, Christiane & Hamilton, James, 2020. "Drawing Conclusions from Structural Vector Autoregressions Identified on the Basis of Sign Restrictions," CEPR Discussion Papers 14271, C.E.P.R. Discussion Papers.
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    53. Byrne, Joseph P & Lorusso, Marco & Xu, Bing, 2017. "Oil Prices and Informational Frictions: The Time-Varying Impact of Fundamentals and Expectations," MPRA Paper 80668, University Library of Munich, Germany.
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    57. Morana, Claudio, 2013. "Oil price dynamics, macro-finance interactions and the role of financial speculation," Journal of Banking & Finance, Elsevier, vol. 37(1), pages 206-226.
    58. Giulio Cifarelli and Paolo Paesani, 2021. "Navigating the Oil Bubble: A Non-linear Heterogeneous-agent Dynamic Model of Futures Oil Pricing," The Energy Journal, International Association for Energy Economics, vol. 0(Number 5).
    59. de Mendonça, Helder Ferreira & Garcia, Pedro Mendes, 2023. "Effects of oil shocks and central bank credibility on price diffusion," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 304-317.
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    61. Ine Van Robays, 2016. "Macroeconomic Uncertainty and Oil Price Volatility," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(5), pages 671-693, October.
    62. Gong, Xiao-Li & Liu, Jian-Min & Xiong, Xiong & Zhang, Wei, 2021. "The dynamic effects of international oil price shocks on economic fluctuation," Resources Policy, Elsevier, vol. 74(C).
    63. Anthony Garratt & Ivan Petrella, 2022. "Commodity prices and inflation risk," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(2), pages 392-414, March.
    64. Robert Socha & Piotr Wdowiński, 2018. "Crude oil price and speculative activity: a cointegration analysis," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 10(3), pages 263-304, September.
    65. Casoli, Chiara & Manera, Matteo & Valenti, Daniele, 2022. "Energy shocks in the Euro area: disentangling the pass-through from oil and gas prices to inflation," FEEM Working Papers 329739, Fondazione Eni Enrico Mattei (FEEM).
    66. Marc Gronwald & Jana Lippelt, 2014. "Kurz zum Klima: Fundamentales zu Spekulation," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 67(21), pages 58-59, November.
    67. Tenreyro, Silvana & Drechsel, Thomas & McLeay, Michael, 2019. "Monetary policy for commodity booms and busts," CEPR Discussion Papers 14030, C.E.P.R. Discussion Papers.
    68. Lan, Hao & Moreira, Fernando & Zhao, Sheng, 2023. "Can a house resale restriction policy curb speculation? Evidence from a quasi-natural experiment in China," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 841-859.
    69. Sheng, Xin & Gupta, Rangan & Ji, Qiang, 2020. "The impacts of structural oil shocks on macroeconomic uncertainty: Evidence from a large panel of 45 countries," Energy Economics, Elsevier, vol. 91(C).
    70. Brignone, Davide & Gambetti, Luca & Ricci, Martino, 2025. "Geopolitical risk shocks: when size matters," Bank of England working papers 1118, Bank of England.
    71. Duc Huynh, Toan Luu & Burggraf, Tobias & Nasir, Muhammad Ali, 2020. "Financialisation of natural resources & instability caused by risk transfer in commodity markets," Resources Policy, Elsevier, vol. 66(C).
    72. Sung Je Byun, 2016. "Speculation in Commodity Futures Markets, Inventories and the Price of Crude Oil," Occasional Papers 16-3, Federal Reserve Bank of Dallas.
    73. Luciana Juvenal & Ivan Petrella, 2012. "Speculation in the oil market," Economic Synopses, Federal Reserve Bank of St. Louis.
    74. Christiane Baumeister & James D. Hamilton, 2017. "Structural Interpretation of Vector Autoregressions with Incomplete Identification: Revisiting the Role of Oil Supply and Demand Shocks," CESifo Working Paper Series 6835, CESifo.
    75. Abdelkader Derbali & Tarek Chebbi, 2015. "The dynamic correlation between energy commodities and Islamic stock market: analysis and forecasting," Post-Print hal-01696007, HAL.
    76. Yin, Libo & Zhou, Yimin, 2016. "What drives long-term oil market volatility? Fundamentals versus Speculation," Economics Discussion Papers 2016-2, Kiel Institute for the World Economy (IfW Kiel).
    77. Dario Caldara & Michele Cavallo & Matteo Iacoviello, 2016. "Oil Price Elasticities and Oil Price Fluctuations," International Finance Discussion Papers 1173, Board of Governors of the Federal Reserve System (U.S.).
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    80. James D. Hamilton & Jing Cynthia Wu, 2015. "Effects Of Index‐Fund Investing On Commodity Futures Prices," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56(1), pages 187-205, February.
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    83. Christina Anderl & Guglielmo Maria Caporale, 2024. "Expectations and Speculation in the Natural Gas Markets," CESifo Working Paper Series 11341, CESifo.
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    86. Siddique, Md. Abubakar & Nobanee, Haitham & Hasan, Md. Bokhtiar & Uddin, Gazi Salah & Hossain, Md. Naiem & Park, Donghyun, 2023. "How do energy markets react to climate policy uncertainty? Fossil vs. renewable and low-carbon energy assets," Energy Economics, Elsevier, vol. 128(C).
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    141. Matteo Barigozzi & Matteo Luciani, 2019. "Quasi Maximum Likelihood Estimation and Inference of Large Approximate Dynamic Factor Models via the EM algorithm," Papers 1910.03821, arXiv.org, revised Sep 2024.
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    143. Dedi, Valentina & Mandilaras, Alex, 2022. "Trader positions and the price of oil in the futures market," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 448-460.
    144. Michail Filippidis & George Filis & Georgios Magkonis & Panagiotis Tzouvanas, 2023. "Evaluating robust determinants of the WTI/Brent oil price differential: A dynamic model averaging analysis," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(6), pages 807-825, June.
    145. Jin, Xin, 2019. "The role of market expectations in commodity price dynamics: Evidence from oil data," Journal of International Money and Finance, Elsevier, vol. 90(C), pages 1-18.
    146. Aiube, Fernando Antonio Lucena & Faquieri, Winicius Botelho, 2019. "Can Gaussian factor models of commodity prices capture the financialization phenomenon?," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    147. Ding Du & Xiaobing Zhao, 2017. "Financial investor sentiment and the boom/bust in oil prices during 2003–2008," Review of Quantitative Finance and Accounting, Springer, vol. 48(2), pages 331-361, February.
    148. Itzhak Ben-David & Pascal Towbin & Sebastian Weber, 2019. "Inferring Expectations from Observables: Evidence from the Housing Market," NBER Working Papers 25702, National Bureau of Economic Research, Inc.
    149. Xiaojun Chen & Yun Shi & Xiaozhou Wang, 2020. "Equilibrium Oil Market Share under the COVID-19 Pandemic," Papers 2007.15265, arXiv.org.
    150. Maghyereh, Aktham & Abdoh, Hussein, 2021. "The effect of structural oil shocks on bank systemic risk in the GCC countries," Energy Economics, Elsevier, vol. 103(C).
    151. Don Bredin & Valerio Potì & Enrique Salvador, 2022. "Food Prices, Ethics and Forms of Speculation," Journal of Business Ethics, Springer, vol. 179(2), pages 495-509, August.
    152. Rehman, Mobeen Ur & Shahzad, Syed Jawad Hussain & Uddin, Gazi Salah & Hedström, Axel, 2018. "Precious metal returns and oil shocks: A time varying connectedness approach," Resources Policy, Elsevier, vol. 58(C), pages 77-89.
    153. Jihad El Hokayem & Ibrahim Jamali & Ale Hejase, 2024. "A forecasting model for oil prices using a large set of economic indicators," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(5), pages 1615-1624, August.
    154. Batista Soares, David & Borocco, Etienne, 2022. "Rational destabilization in commodity markets," Journal of Commodity Markets, Elsevier, vol. 25(C).
    155. Zhang, Yue-Jun & Chevallier, Julien & Guesmi, Khaled, 2017. "“De-financialization” of commodities? Evidence from stock, crude oil and natural gas markets," Energy Economics, Elsevier, vol. 68(C), pages 228-239.
    156. Filippo Natoli, 2021. "Financialization Of Commodities Before And After The Great Financial Crisis," Journal of Economic Surveys, Wiley Blackwell, vol. 35(2), pages 488-511, April.
    157. Jean-Baptiste Bonnier, 2021. "Speculation and informational efficiency in commodity futures markets," Post-Print hal-04299220, HAL.
    158. Filippo Natoli, 2018. "Analyzing the structural transformation of commodity markets: financialization revisited," Questioni di Economia e Finanza (Occasional Papers) 419, Bank of Italy, Economic Research and International Relations Area.
    159. Zhenhua Liu & Zhihua Ding & Tao Lv & Jy S. Wu & Wei Qiang, 2019. "Financial factors affecting oil price change and oil-stock interactions: a review and future perspectives," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 95(1), pages 207-225, January.
    160. Wei, Yanfeng & Guo, Xiaoying, 2017. "Oil price shocks and China's stock market," Energy, Elsevier, vol. 140(P1), pages 185-197.
    161. David Batista Soares & Etienne Borocco, 2022. "Rational destabilization in commodity markets [Déstabilisation rationnelle des marchés de matières premières]," Post-Print hal-03256534, HAL.
    162. Ratti, Ronald A. & Vespignani, Joaquin L., 2014. "Oil prices and the economy: A global perspective," MPRA Paper 59407, University Library of Munich, Germany.
    163. Daniele Valenti, 2018. "Modelling the Global Price of Oil: Is there any Role for the Oil Futures-spot Spread?," Working Papers 2018.06, Fondazione Eni Enrico Mattei.
    164. Gong, Xu & Chen, Liqiang & Lin, Boqiang, 2020. "Analyzing dynamic impacts of different oil shocks on oil price," Energy, Elsevier, vol. 198(C).
    165. Ratti, Ronald A. & Vespignani, Joaquin L., 2016. "Oil prices and global factor macroeconomic variables," Energy Economics, Elsevier, vol. 59(C), pages 198-212.
    166. Soohyeon Kim & Jungho Baek & Eunnyeong Heo, 2020. "Crude oil inventories: The two faces of Janus?," Empirical Economics, Springer, vol. 59(2), pages 1003-1018, August.
    167. Márcio Poletti Laurini & Roberto Baltieri Mauad & Fernando Antonio Lucena Aiube, 2016. "Multivariate Stochastic Volatility-Double Jump Model: an application for oil assets," Working Papers Series 415, Central Bank of Brazil, Research Department.
    168. James D. Hamilton, 2021. "Measuring global economic activity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(3), pages 293-303, April.
    169. Wei, Yanfeng & Guo, Xiaoying, 2016. "An empirical analysis of the relationship between oil prices and the Chinese macro-economy," Energy Economics, Elsevier, vol. 56(C), pages 88-100.
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  26. Distante, Roberta & Petrella, Ivan & Santoro, Emiliano, 2013. "Asymmetry Reversals and the Business Cycle," Economy and Society 151531, Fondazione Eni Enrico Mattei (FEEM).

    Cited by:

    1. Nicholas Bloom & Fatih Guvenen & Sergio Salgado, 2016. "Skewed Business Cycles," 2016 Meeting Papers 1621, Society for Economic Dynamics.
    2. Roberta Distante & Ivan Petrella & Emiliano Santoro, 2014. "Size, Age and the Growth of Firms: New Evidence from Quantile Regressions," Working Papers 2014.69, Fondazione Eni Enrico Mattei.

  27. Ivan Petrella & Raffaele Rossi & Emiliano Santoro, 2013. "Discretion vs. Timeless Perspective under Model-consistent Stabilization Objectives," Birkbeck Working Papers in Economics and Finance 1306, Birkbeck, Department of Economics, Mathematics & Statistics.

    Cited by:

    1. Ivan Petrella & Raffaele Rossi & Emiliano Santoro, 2017. "Monetary Policy with Sectoral Trade-offs," Centre for Growth and Business Cycle Research Discussion Paper Series 233, Economics, The University of Manchester.

  28. Ivan Petrella & Raffaele Rossi & Emiliano Santoro, 2012. "Discretion vs. Timeless Perspective Policy-Making: the Role of Input-Output Interactions," Discussion Papers 12-20, University of Copenhagen. Department of Economics.

    Cited by:

    1. Hahn, Volker, 2014. "An argument in favor of long terms for central bankers," Economics Letters, Elsevier, vol. 122(2), pages 132-135.

  29. Ivan Petrella & Emiliano Santoro, 2012. "Inflation Dynamics and Real Marginal Costs: New Evidence from U.S. Manufacturing Industries," Birkbeck Working Papers in Economics and Finance 1202, Birkbeck, Department of Economics, Mathematics & Statistics.

    Cited by:

    1. Milda Norkute, 2015. "Can the sectoral New Keynesian Phillips curve explain inflation dynamics in the Euro Area?," Empirical Economics, Springer, vol. 49(4), pages 1191-1216, December.
    2. Carlos Medel, 2015. "Inflation Dynamics and the Hybrid Neo Keynesian Phillips Curve: The Case of Chile," Working Papers Central Bank of Chile 769, Central Bank of Chile.
    3. Richard Ashley & Randal J. Verbrugge, 2019. "The Intermittent Phillips Curve: Finding a Stable (But Persistence-Dependent) Phillips Curve Model Specification," Working Papers 19-09R2, Federal Reserve Bank of Cleveland, revised 14 Feb 2023.
    4. Abbas, Syed K. & Bhattacharya, Prasad Sankar & Sgro, Pasquale, 2016. "The new Keynesian Phillips curve: An update on recent empirical advances," International Review of Economics & Finance, Elsevier, vol. 43(C), pages 378-403.
    5. Benjamin Born & Johannes Pfeifer, 2017. "Uncertainty-driven Business Cycles: Assessing the Markup Channel," CESifo Working Paper Series 6303, CESifo.
    6. Hülya Saygılı, 2020. "The nature of trade, global production fragmentation and inflationary dynamics: Cross‐country evidence," The World Economy, Wiley Blackwell, vol. 43(7), pages 2007-2031, July.
    7. Malikane, Christopher, 2013. "A New Keynesian Triangle Phillips Curve," MPRA Paper 43548, University Library of Munich, Germany.
    8. Kalim Hyder & Stephen G. Hall, 2020. "Estimates of the New Keynesian Phillips Curve for Pakistan," Empirical Economics, Springer, vol. 59(2), pages 871-886, August.
    9. Cantelmo, Alessandro & Melina, Giovanni, 2018. "Monetary policy and the relative price of durable goods," Journal of Economic Dynamics and Control, Elsevier, vol. 86(C), pages 1-48.
    10. Christopher Malikane & Tshepo Mokoka, 2014. "The new Keynesian Phillips curve: endogeneity and misspecification," Applied Economics, Taylor & Francis Journals, vol. 46(25), pages 3082-3089, September.
    11. A. Moutaabbid, 2024. "Les determinants de la dynamique des salaires en France : approches macro et sectorielles par la courbe de Phillips," Documents de Travail de l'Insee - INSEE Working Papers 2024-20, Institut National de la Statistique et des Etudes Economiques.
    12. Mutiu Gbade Rasaki, 2017. "An Estimated New Keynesian Phillips Curve for Nigeria," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 13(2), pages 203-211, April.
    13. Hülya Saygılı, 2020. "Sectoral inflationary dynamics: cross-country evidence on the open-economy New Keynesian Phillips Curve," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 156(1), pages 75-101, February.

  30. Sean HOLLY & Ivan PETRELLA & Emiliano SANTORO, 2011. "Aggregate fluctuations and the cross-sectional dynamics of firm growth," Working Papers of Department of Economics, Leuven ces11.06, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.

    Cited by:

    1. Roberta Distante & Ivan Petrella & Emiliano Santoro, 2013. "Asymmetry Reversals and the Business Cycle," Working Papers 2013.54, Fondazione Eni Enrico Mattei.
    2. Tata Subba Rao & Granville Tunnicliffe Wilson & Andrew Harvey & Rutger-Jan Lange, 2017. "Volatility Modeling with a Generalized t Distribution," Journal of Time Series Analysis, Wiley Blackwell, vol. 38(2), pages 175-190, March.
    3. Halvarsson, Daniel, 2013. "Identifying High-Growth Firms," Ratio Working Papers 215, The Ratio Institute.
    4. Jangho Yang & Torsten Heinrich & Julian Winkler & François Lafond & Pantelis Koutroumpis & J. Doyne Farmer, 2025. "Measuring productivity dispersion: a parametric approach using the Lévy alpha-stable distribution," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 34(1), pages 79-117.
    5. Giulio Bottazzi & Le Li & Angelo Secchi, 2019. "Aggregate fluctuations and the distribution of firm growth rates," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 28(3), pages 635-656.
    6. Asquith, William H., 2014. "Parameter estimation for the 4-parameter Asymmetric Exponential Power distribution by the method of L-moments using R," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 955-970.
    7. David Vidal-Tomás & Alba Ruiz-Buforn & Omar Blanco-Arroyo & Simone Alfarano, 2022. "A Cross-Sectional Analysis of Growth and Profit Rate Distribution: The Spanish Case," Mathematics, MDPI, vol. 10(6), pages 1-20, March.
    8. Halvarsson, Daniel, 2019. "Asymmetric Double Pareto Distributions: Maximum Likelihood Estimation with Application to the Growth Rate Distribution of Firms," Ratio Working Papers 327, The Ratio Institute.
    9. Doina I. POPESCU & Sebastian - Ion CEPTUREANU & Eduard - Gabriel CEPTUREANU, 2017. "PECULIARITIES OF STRATEGY IN SMEs," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 11(1), pages 617-632, November.
    10. Jangho Yang & Torsten Heinrich & Julian Winkler & Franc{c}ois Lafond & Pantelis Koutroumpis & J. Doyne Farmer, 2019. "Measuring productivity dispersion: a parametric approach using the L\'{e}vy alpha-stable distribution," Papers 1910.05219, arXiv.org, revised Apr 2022.
    11. Distante, Roberta & Petrella, Ivan & Santoro, Emiliano, 2018. "Gibrat’s law and quantile regressions: An application to firm growth," Economics Letters, Elsevier, vol. 164(C), pages 5-9.
    12. Vitezić Vanja & Srhoj Stjepan & Perić Marko, 2018. "Investigating Industry Dynamics in a Recessionary Transition Economy," South East European Journal of Economics and Business, Sciendo, vol. 13(1), pages 43-67, June.
    13. Alex Coad, 2022. "Lumps, Bumps and Jumps in the Firm Growth Process," Foundations and Trends(R) in Entrepreneurship, now publishers, vol. 18(4), pages 212-267, April.
    14. Olubunmi Ipinnaiye & Declan Dineen & Helena Lenihan, 2016. "Analysing the Drivers of Services Firm Performance: Evidence for Ireland," The Economic and Social Review, Economic and Social Studies, vol. 47(2), pages 213-245.
    15. Åstebro, Thomas & Tåg, Joacim, 2015. "Jobs Incorporated: Incorporation Status and Job Creation," Working Paper Series 1059, Research Institute of Industrial Economics.
    16. Olubunmi Ipinnaiye & Declan Dineen & Helena Lenihan, 2017. "Drivers of SME performance: a holistic and multivariate approach," Small Business Economics, Springer, vol. 48(4), pages 883-911, April.

  31. Edoardo GAFFEO & Ivan PETRELLA & Damjan PFAJFAR & Emiliano SANTORO, 2010. "Reference-dependent preferences and the transmission of monetary policy," Working Papers of Department of Economics, Leuven ces10.28, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.

    Cited by:

    1. Enrico Marchetti & Giuseppe Ciccarone, 2012. "Macroeconomic effects of loss aversion in a signal extraction model," EcoMod2012 4119, EcoMod.
    2. Mumtaz, Haroon & Surico, Paolo, 2011. "Estimating the Aggregate Consumption Euler Equation with State-Dependent Parameters," CEPR Discussion Papers 8233, C.E.P.R. Discussion Papers.
    3. Ciccarone, Giuseppe & Marchetti, Enrico, 2013. "Rational expectations and loss aversion: Potential output and welfare implications," Journal of Economic Behavior & Organization, Elsevier, vol. 86(C), pages 24-36.

  32. Holly, S. & Petrella, I., 2010. "Factor Demand Linkages, Technology Shocks and the Business Cycle," Cambridge Working Papers in Economics 1001, Faculty of Economics, University of Cambridge.

    Cited by:

    1. Alexander Chudik & M. Hashem Pesaran, 2014. "Theory and Practice of GVAR Modeling," CESifo Working Paper Series 4807, CESifo.
    2. Carvalho, Vasco & Nirei, Makoto & Saito, Yukiko & Tahbaz-Salehi, Alireza, 2016. "Supply Chain Disruptions: Evidence from the Great East Japan Earthquake," CEPR Discussion Papers 11711, C.E.P.R. Discussion Papers.
    3. Peng, Ling & Hong, Yongmiao, 2013. "Productivity spillovers among linked sectors," China Economic Review, Elsevier, vol. 25(C), pages 44-61.
    4. Olivier CARDI & Romain RESTOUT, 2023. "Why Hours Worked Decline Less After Technology Shocks?," Working Papers of BETA 2023-30, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    5. Yongsung Chang & Sunoong Hwang, 2011. "Asymmetric Phase Shifts in the U.S. Industrial Production Cycles," RCER Working Papers 564, University of Rochester - Center for Economic Research (RCER).
    6. Vasco Carvalho, 2014. "From micro to macro via production networks," Economics Working Papers 1449, Department of Economics and Business, Universitat Pompeu Fabra.
    7. Wolff, Christian & Bams, Dennis & Pisa, Magdalena, 2015. "Ripple effects from industry defaults," CEPR Discussion Papers 10891, C.E.P.R. Discussion Papers.
    8. Cantore, Cristiano & León-Ledesma, Miguel A. & McAdam, Peter & Willman, Alpo, 2010. "Shocking stuff: technology, hours, and factor substitution," Working Paper Series 1278, European Central Bank.
    9. Saldías, Martín, 2013. "A market-based approach to sector risk determinants and transmission in the euro area," Working Paper Series 1574, European Central Bank.
    10. Cantore, Cristiano & Ferroni, Filippo & León-Ledesma, Miguel A., 2017. "The dynamics of hours worked and technology," Journal of Economic Dynamics and Control, Elsevier, vol. 82(C), pages 67-82.
    11. Vasco M. Carvalho, 2015. "From Micro to Macro via Production Networks," Working Papers 793, Barcelona School of Economics.
    12. Natalia Bailey & Sean Holly & M. Hashem Pesaran, 2016. "A Two‐Stage Approach to Spatio‐Temporal Analysis with Strong and Weak Cross‐Sectional Dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(1), pages 249-280, January.
    13. Molnárová, Zuzana & Reiter, Michael, 2022. "Technology, demand, and productivity: What an industry model tells us about business cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 134(C).
    14. Christian Matthes & Felipe Schwartzman, 2019. "The Demand Origins of Business Cycles," 2019 Meeting Papers 1122, Society for Economic Dynamics.
    15. Ameyaw, Emmanuel, 2024. "Business cycles in a cocoa and gold economy: Commodity price shocks do not always matter," Resources Policy, Elsevier, vol. 91(C).
    16. Luisito Bertinelli & Olivier Cardi & Romain Restout, 2019. "Labor Market Effects of Technology Shocks Biased Toward the Traded Sector," DEM Discussion Paper Series 19-18, Department of Economics at the University of Luxembourg.
    17. Nikolaos Charalampidis, 2020. "The U.S. Labor Income Share And Automation Shocks," Economic Inquiry, Western Economic Association International, vol. 58(1), pages 294-318, January.
    18. Filip Rozsypal, 2015. "Schumpeterian business cycles," 2015 Meeting Papers 320, Society for Economic Dynamics.
    19. Hötte, Kerstin, 2023. "Demand-pull, technology-push, and the direction of technological change," Research Policy, Elsevier, vol. 52(5).
    20. Goto, Eiji, 2023. "Industry effects of unconventional monetary policy, within and across countries," Journal of International Money and Finance, Elsevier, vol. 136(C).
    21. Swapnil Singh & Roel Beetsma, 2018. "Optimal Monetary Policy Under Sectoral Interconnections," De Economist, Springer, vol. 166(3), pages 309-336, September.
    22. Julián Ramajo & José Manuel Cordero & Miguel Ángel Márquez, 2017. "European regional efficiency and geographical externalities: a spatial nonparametric frontier analysis," Journal of Geographical Systems, Springer, vol. 19(4), pages 319-348, October.
    23. Jakob Grazzini & Alessandro Spelta, 2015. "An empirical analysis of the global input-output network and its evolution," DISCE - Working Papers del Dipartimento di Economia e Finanza def031, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    24. Yazid Dissou & Lilia Karnizova, 2012. "Emissions Cap or Emissions Tax? A Multi-sector Business Cycle Analysis," Working Papers 1210E, University of Ottawa, Department of Economics.
    25. Dragomirescu-Gaina, Catalin & Elia, Leandro, 2021. "Technology shocks and sectoral labour market spill-overs," Economics Letters, Elsevier, vol. 201(C).
    26. Dennis Bams & Magdalena Pisa & Christian C. P. Wolff, 2021. "Spillovers to small business credit risk," Small Business Economics, Springer, vol. 57(1), pages 323-352, June.
    27. Ivan Petrella & Raffaele Rossi & Emiliano Santoro, 2017. "Monetary Policy with Sectoral Trade-offs," Centre for Growth and Business Cycle Research Discussion Paper Series 233, Economics, The University of Manchester.
    28. Christian Matthes & Felipe Schwartzman, 2019. "What Do Sectoral Dynamics Tell Us About the Origins of Business Cycles?," Working Paper 19-9, Federal Reserve Bank of Richmond.
    29. Yang, Zhenbing & Shi, Qingquan & Shao, Shuai & Lu, Minwei & Yang, Lili, 2023. "Stricter energy regulations and water consumption: Firm-level evidence from China," Energy Economics, Elsevier, vol. 120(C).
    30. Islam, Md. Monirul & Mahmudul Alam, Md. & Sohag, Kazi, 2025. "Recycling through technology diffusion for circular economy in Europe: A decomposed assessment," Technological Forecasting and Social Change, Elsevier, vol. 214(C).
    31. Tokui, Joji & Kawasaki, Kazuyasu & Miyagawa, Tsutomu, 2017. "The economic impact of supply chain disruptions from the Great East-Japan earthquake," Japan and the World Economy, Elsevier, vol. 41(C), pages 59-70.
    32. Zuzana Molnarova, 2020. "Industry evidence and the vanishing cyclicality of labor productivity," Vienna Economics Papers vie2001, University of Vienna, Department of Economics.
    33. Guisinger, Amy Y. & Owyang, Michael T. & Soques, Daniel, 2024. "Industrial Connectedness and Business Cycle Comovements," Econometrics and Statistics, Elsevier, vol. 29(C), pages 132-149.
    34. José Afonso Faias & Juan Arismendi Zambrano, 2022. "Equity Risk Premium Predictability from Cross-Sectoral Downturns [International asset allocation with regime shifts]," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 12(3), pages 808-842.
    35. Eiji Goto, 2020. "Industry Impacts of Unconventional Monetary Policy," 2020 Papers pgo873, Job Market Papers.
    36. Huachen Li, 2023. "The Time‐Varying Response of Hours Worked to a Productivity Shock," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(7), pages 1907-1935, October.

  33. Holly, S. & Petrella, I., 2008. "Factor demand linkages and the business cycle: Interpreting aggregate fluctuations as sectoral fluctuations," Cambridge Working Papers in Economics 0827, Faculty of Economics, University of Cambridge.

    Cited by:

    1. Jalles João Tovar, 2015. "Is There A Stable Long-run Relationship Between Unemployment And Productivity? / Czy Istnieje Stabilny Długookresowy Związek Między Bezrobociem A Produktywnością?," Comparative Economic Research, Sciendo, vol. 18(2), pages 57-75, June.
    2. Holly, Sean & Hashem Pesaran, M. & Yamagata, Takashi, 2011. "The spatial and temporal diffusion of house prices in the UK," Journal of Urban Economics, Elsevier, vol. 69(1), pages 2-23, January.
    3. Jürgen Bierbaumer & Werner Hölzl, 2015. "Business Cycle Dynamics and Firm Heterogeneity. Evidence for Austria Using Survey Data," WIFO Working Papers 504, WIFO.
    4. Barnichon, Regis, 2010. "Productivity and unemployment over the business cycle," Journal of Monetary Economics, Elsevier, vol. 57(8), pages 1013-1025, November.

  34. Ivan Petrella & Emiliano Santoro, "undated". "Optimal Monetary Policy with Durable Consumption Goods and Factor Demand Linkages," EPRU Working Paper Series 2009-04, Economic Policy Research Unit (EPRU), University of Copenhagen. Department of Economics, revised May 2009.

    Cited by:

    1. Ko, Jun-Hyung, 2011. "Optimal monetary policy with durable services: user cost versus purchase price," MPRA Paper 34147, University Library of Munich, Germany.
    2. Petrella, Ivan & Santoro, Emiliano, 2011. "Input–output interactions and optimal monetary policy," Journal of Economic Dynamics and Control, Elsevier, vol. 35(11), pages 1817-1830.

Articles

  1. Federico Di Pace & Luciana Juvenal & Ivan Petrella, 2025. "Terms-of-Trade Shocks Are Not All Alike," American Economic Journal: Macroeconomics, American Economic Association, vol. 17(2), pages 24-64, April.
    See citations under working paper version above.
  2. Juvenal, Luciana & Petrella, Ivan, 2024. "Unveiling the dance of commodity prices and the global financial cycle," Journal of International Economics, Elsevier, vol. 150(C).
    See citations under working paper version above.
  3. Davide Delle Monache & Andrea De Polis & Ivan Petrella, 2024. "Modeling and Forecasting Macroeconomic Downside Risk," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 42(3), pages 1010-1025, July.
    See citations under working paper version above.
  4. Antolín-Díaz, Juan & Drechsel, Thomas & Petrella, Ivan, 2024. "Advances in nowcasting economic activity: The role of heterogeneous dynamics and fat tails," Journal of Econometrics, Elsevier, vol. 238(2).
    See citations under working paper version above.
  5. Juvenal, Luciana & Petrella, Ivan, 2024. "Reprint of “Unveiling the dance of commodity prices and the global financial cycle”," Journal of International Economics, Elsevier, vol. 149(C).

    Cited by:

    1. Morão, Hugo, 2024. "The impact of carbon policy news on the national energy industry," Energy Economics, Elsevier, vol. 134(C).
    2. Heather Jane Ruberl & Remzi Baris Tercioglu & Elderfield,Adam, 2025. "Forecast Sensitivity to Global Risks : A BVAR Analysis," Policy Research Working Paper Series 11132, The World Bank.
    3. Yan, Zichun & Wu, Chaonan & Zhang, Jingjia & Wang, Zehan & Lađevac, Ivona, 2024. "Asymmetric impact of energy prices on financial cycles based on interval time series modeling," International Review of Financial Analysis, Elsevier, vol. 96(PA).

  6. Garratt, Anthony & Petrella, Ivan & Zhang, Yunyi, 2023. "Asymmetry and interdependence when evaluating U.S. Energy Information Administration forecasts," Energy Economics, Elsevier, vol. 121(C).
    See citations under working paper version above.
  7. Anthony Garratt & Ivan Petrella, 2022. "Commodity prices and inflation risk," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(2), pages 392-414, March.

    Cited by:

    1. Diaz, Elena Maria & Cunado, Juncal & de Gracia, Fernando Perez, 2024. "Global drivers of inflation: The role of supply chain disruptions and commodity price shocks," Economic Modelling, Elsevier, vol. 140(C).
    2. Sara Boni & Massimiliano Caporin & Francesco Ravazzolo, 2024. "Nowcasting Inflation at Quantiles: Causality from Commodities," BEMPS - Bozen Economics & Management Paper Series BEMPS102, Faculty of Economics and Management at the Free University of Bozen.
    3. Jo~ao Nicolau & Paulo M. M. Rodrigues, 2024. "A simple but powerful tail index regression," Papers 2409.13531, arXiv.org.
    4. Knut Are Aastveit & Hilde C. Bjørnland & Jamie L. Cross & Helene Olsen, 2024. "Unveiling inflation: Oil Shocks, Supply Chain Pressures, and Expectations," Working Papers No 05/2024, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    5. Piergiorgio Alessandri & Andrea Gazzani, 2023. "Natural gas and the macroeconomy: not all energy shocks are alike," Temi di discussione (Economic working papers) 1428, Bank of Italy, Economic Research and International Relations Area.
    6. Garratt, Anthony & Henckel, Timo & Vahey, Shaun P., 2023. "Empirically-transformed linear opinion pools," International Journal of Forecasting, Elsevier, vol. 39(2), pages 736-753.
    7. Bayaa, Yasmeen & Qadan, Mahmoud, 2024. "The shape of the Treasury yield curve and commodity prices," International Review of Financial Analysis, Elsevier, vol. 94(C).
    8. Banna, Hasanul & Alam, Ashraful & Chen, Xihui Haviour & Alam, Ahmed W., 2023. "Energy security and economic stability: The role of inflation and war," Energy Economics, Elsevier, vol. 126(C).
    9. Diaz, Elena Maria & Cunado, Juncal & de Gracia, Fernando Perez, 2023. "Commodity price shocks, supply chain disruptions and U.S. inflation," Finance Research Letters, Elsevier, vol. 58(PC).

  8. Davide Delle Monache & Ivan Petrella & Fabrizio Venditti, 2021. "Price Dividend Ratio and Long-Run Stock Returns: A Score-Driven State Space Model," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(4), pages 1054-1065, October.
    See citations under working paper version above.
  9. Antolín-Díaz, Juan & Petrella, Ivan & Rubio-Ramírez, Juan F., 2021. "Structural scenario analysis with SVARs," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 798-815.
    See citations under working paper version above.
  10. Henrik Jensen & Ivan Petrella & Søren Hove Ravn & Emiliano Santoro, 2020. "Leverage and Deepening Business-Cycle Skewness," American Economic Journal: Macroeconomics, American Economic Association, vol. 12(1), pages 245-281, January.
    See citations under working paper version above.
  11. Lubello, Federico & Petrella, Ivan & Santoro, Emiliano, 2019. "Bank assets, liquidity and credit cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 105(C), pages 265-282.
    See citations under working paper version above.
  12. Ivan Petrella & Raffaele Rossi & Emiliano Santoro, 2019. "Monetary Policy with Sectoral Trade‐Offs," Scandinavian Journal of Economics, Wiley Blackwell, vol. 121(1), pages 55-88, January.
    See citations under working paper version above.
  13. Delle Monache, Davide & Petrella, Ivan, 2019. "Efficient matrix approach for classical inference in state space models," Economics Letters, Elsevier, vol. 181(C), pages 22-27.

    Cited by:

    1. Andrii Babii & Eric Ghysels & Jonas Striaukas, 2022. "Machine Learning Time Series Regressions With an Application to Nowcasting," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(3), pages 1094-1106, June.
    2. Ballarin, Giovanni & Dellaportas, Petros & Grigoryeva, Lyudmila & Hirt, Marcel & van Huellen, Sophie & Ortega, Juan-Pablo, 2024. "Reservoir computing for macroeconomic forecasting with mixed-frequency data," International Journal of Forecasting, Elsevier, vol. 40(3), pages 1206-1237.
    3. Wang, Renhe & Wang, Tong & Qian, Zhiyong & Hu, Shulan, 2023. "A Bayesian estimation approach of random switching exponential smoothing with application to credit forecast," Finance Research Letters, Elsevier, vol. 58(PC).
    4. Poncela, Pilar & Ruiz, Esther & Miranda, Karen, 2021. "Factor extraction using Kalman filter and smoothing: This is not just another survey," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1399-1425.
    5. Shayan Zakipour-Saber, 2019. "State-dependent Monetary Policy Regimes," Working Papers 882, Queen Mary University of London, School of Economics and Finance.
    6. Antolín-Díaz, Juan & Drechsel, Thomas & Petrella, Ivan, 2024. "Advances in nowcasting economic activity: The role of heterogeneous dynamics and fat tails," Journal of Econometrics, Elsevier, vol. 238(2).

  14. Constantino Hevia & Ivan Petrella & Martin Sola, 2018. "Risk premia and seasonality in commodity futures," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(6), pages 853-873, September.
    See citations under working paper version above.
  15. Distante, Roberta & Petrella, Ivan & Santoro, Emiliano, 2018. "Gibrat’s law and quantile regressions: An application to firm growth," Economics Letters, Elsevier, vol. 164(C), pages 5-9.

    Cited by:

    1. Guerzoni, Marco & Riso, Luigi & Vivarelli, Marco, 2023. "The Law of Proportionate Effect: A test based on the graphical model methodology," GLO Discussion Paper Series 1248, Global Labor Organization (GLO).
    2. Michael L. Polemis, 2020. "A note on the estimation of competition-productivity nexus: a panel quantile approach," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 47(4), pages 663-676, December.
    3. George E. Halkos & Michael L. Polemis, 2019. "The impact of market structure on environmental efficiency in the United States: A quantile approach," Business Strategy and the Environment, Wiley Blackwell, vol. 28(1), pages 127-142, January.
    4. Besstremyannaya, Galina & Dasher, Richard & Golovan, Sergei, 2022. "Quantifying heterogeneity in the relationship between R&D intensity and growth at innovative Japanese firms: A quantile regression approach," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 67, pages 27-45.
    5. Axioglou, Christos & Christodoulakis, Nicos, 2019. "Which firms survive in a crisis? Corporate dynamics in Greece 2001-2014," LSE Research Online Documents on Economics 100401, London School of Economics and Political Science, LSE Library.
    6. Marco Guerzoni & Luigi Riso & Marco Vivarelli, 2023. "Was Robert Gibrat right? A test based on the graphical model methodology," DISCE - Working Papers del Dipartimento di Politica Economica dipe0031, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    7. Hyunseog Chung & Soomin Eum & Chulung Lee, 2019. "Firm Growth and R&D in the Korean Pharmaceutical Industry," Sustainability, MDPI, vol. 11(10), pages 1-19, May.
    8. Polemis, Michael, 2018. "Personality traits as an engine of knowledge: A quantile regression approach," MPRA Paper 88614, University Library of Munich, Germany.
    9. Vaz, Rolando, 2021. "Firm Growth: A review of the empirical literature," Revista Galega de Economía, University of Santiago de Compostela. Faculty of Economics and Business., vol. 30(2), pages 1-20.
    10. Lee Mihye, 2023. "Determinants of Firm-Level Growth: Lessons from the Czech Republic, Hungary, and Poland," South East European Journal of Economics and Business, Sciendo, vol. 18(1), pages 46-57, June.
    11. Polemis, Michael L. & Stengos, Thanasis & Tzeremes, Panayiotis & Tzeremes, Nickolaos G., 2021. "Quantile eco-efficiency estimation and convergence: A nonparametric frontier approach," Economics Letters, Elsevier, vol. 202(C).
    12. Anh Tuan Bui & Susan Lambert & Tung Duc Phung & Giao Reynolds, 2021. "The Impact of Business Obstacles on Firm Growth and Job Stability in East Asia and Pacific Nations," Sustainability, MDPI, vol. 13(19), pages 1-19, October.
    13. Christos Axioglou & Nicos Christodoulakis, 2021. "Which firms survive in a crisis? Investigating Gibrat’s Law in Greece 2001–2014," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 48(2), pages 159-217, June.
    14. Halkos, George & Polemis, Michael, 2018. "Does market structure trigger efficiency? Evidence for the USA before and after the financial crisis," MPRA Paper 84511, University Library of Munich, Germany.
    15. Michael L. Polemis, 2025. "What Determines Cartel Duration? Global Evidence Using Quantile Regression Analysis," Journal of Industry, Competition and Trade, Springer, vol. 25(1), pages 1-28, December.
    16. Hammed Oluwaseyi Musibau & Rabindra Nepal & Joaquin L. Vespignani & Maria Yanotti, 2020. "The Moderating Role of Green Energy and Energy-Innovation in Environmental Kuznets: Insights from Quantile-Quantile Analysis," Globalization Institute Working Papers 385, Federal Reserve Bank of Dallas.
    17. Sorin Gabriel Anton & Mihaela Onofrei & Emilia Gogu & Bogdan Constantin Neculau & Florin Mihai, 2021. "Debt Overhang, Gazelles’ Growth, and Fiscal Policy: A Note from the Quantile Regression Approach," Sustainability, MDPI, vol. 13(18), pages 1-10, September.
    18. Anh Tuan Bui & Thu Phuong Pham, 2021. "Financial and Labour Obstacles and Firm Employment: Evidence from Europe and Central Asia Firms," Sustainability, MDPI, vol. 13(15), pages 1-18, August.
    19. Zhuang, Zongwu & Han, Feng, 2024. "Urban spatial structure and firm growth: Evidence from China," Land Use Policy, Elsevier, vol. 145(C).
    20. Polemis, Michael, 2024. "Are Cartels Forever? Global Evidence Using Quantile Regression Analysis," MPRA Paper 120534, University Library of Munich, Germany.

  16. Juan Antolin-Diaz & Thomas Drechsel & Ivan Petrella, 2017. "Tracking the Slowdown in Long-Run GDP Growth," The Review of Economics and Statistics, MIT Press, vol. 99(2), pages 343-356, May.
    See citations under working paper version above.
  17. Delle Monache, Davide & Petrella, Ivan, 2017. "Adaptive models and heavy tails with an application to inflation forecasting," International Journal of Forecasting, Elsevier, vol. 33(2), pages 482-501.
    See citations under working paper version above.
  18. Santoro, Emiliano & Petrella, Ivan & Pfajfar, Damjan & Gaffeo, Edoardo, 2014. "Loss aversion and the asymmetric transmission of monetary policy," Journal of Monetary Economics, Elsevier, vol. 68(C), pages 19-36.
    See citations under working paper version above.
  19. Petrella, Ivan & Rossi, Raffaele & Santoro, Emiliano, 2014. "Discretion vs. timeless perspective under model-consistent stabilization objectives," Economics Letters, Elsevier, vol. 122(1), pages 84-88.
    See citations under working paper version above.
  20. Sean Holly & Ivan Petrella & Emiliano Santoro, 2013. "Aggregate fluctuations and the cross-sectional dynamics of firm growth," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(2), pages 459-479, February.
    See citations under working paper version above.
  21. Sean Holly & Ivan Petrella, 2012. "Factor Demand Linkages, Technology Shocks, and the Business Cycle," The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 948-963, November.
    See citations under working paper version above.
  22. Luciana Juvenal & Ivan Petrella, 2012. "Speculation in the oil market," Economic Synopses, Federal Reserve Bank of St. Louis.
    See citations under working paper version above.
  23. Brett W. Fawley & Luciana Juvenal & Ivan Petrella, 2012. "When oil prices jump, is speculation to blame?," The Regional Economist, Federal Reserve Bank of St. Louis, issue Apr.

    Cited by:

    1. Luciana Juvenal & Ivan Petrella, 2012. "Speculation in the oil market," Economic Synopses, Federal Reserve Bank of St. Louis.
    2. Abdelkader Derbali & Tarek Chebbi, 2015. "The dynamic correlation between energy commodities and Islamic stock market: analysis and forecasting," Post-Print hal-01696007, HAL.

  24. Petrella, Ivan & Santoro, Emiliano, 2012. "Inflation dynamics and real marginal costs: New evidence from U.S. manufacturing industries," Journal of Economic Dynamics and Control, Elsevier, vol. 36(5), pages 779-794.
    See citations under working paper version above.
  25. Petrella, Ivan & Santoro, Emiliano, 2011. "Input–output interactions and optimal monetary policy," Journal of Economic Dynamics and Control, Elsevier, vol. 35(11), pages 1817-1830.

    Cited by:

    1. Di Pace, Federico & Hertweck, Matthias S., 2012. "Labour Market Frictions, Monetary Policy, and Durable Goods," VfS Annual Conference 2012 (Goettingen): New Approaches and Challenges for the Labor Market of the 21st Century 62052, Verein für Socialpolitik / German Economic Association.
    2. Petrella, Ivan & Rossi, Raffaele & Santoro, Emiliano, 2013. "Discretion vs. Timeless Perspective under Model-consistent Stabilization Objectives," CEPR Discussion Papers 9731, C.E.P.R. Discussion Papers.
    3. Ivashchenko, S., 2020. "Long-term growth sources for sectors of Russian economy," Journal of the New Economic Association, New Economic Association, vol. 48(4), pages 86-112.
    4. Petrella, Ivan & Santoro, Emiliano, 2012. "Inflation dynamics and real marginal costs: New evidence from U.S. manufacturing industries," Journal of Economic Dynamics and Control, Elsevier, vol. 36(5), pages 779-794.
    5. Iyer, Tara, 2020. "The welfare implications of exchange rate choices in developing agricultural economies," Journal of Macroeconomics, Elsevier, vol. 66(C).
    6. Swapnil Singh & Roel Beetsma, 2018. "Optimal Monetary Policy Under Sectoral Interconnections," De Economist, Springer, vol. 166(3), pages 309-336, September.
    7. Muto, Ichiro & Sudo, Nao & Yoneyama, Shunichi, 2013. "Productivity Slowdown in Japan’s Lost Decades: How Much of It is Attributed to Financial Factors?," Dynare Working Papers 28, CEPREMAP.
    8. Alex Nikolsko-Rzhevskyy & Oleksandr Talavera & Nam Vu, 2020. "The Flood that Caused a Drought," Discussion Papers 20-14, Department of Economics, University of Birmingham.
    9. Ida, Daisuke, 2020. "Sectoral inflation persistence and optimal monetary policy," Journal of Macroeconomics, Elsevier, vol. 65(C).
    10. Xia, Tian, 2020. "The role of intermediate goods in international monetary cooperation," Journal of International Money and Finance, Elsevier, vol. 100(C).
    11. Gong, Liutang & Wang, Chan & Zou, Heng-fu, 2016. "Optimal monetary policy with international trade in intermediate inputs," Journal of International Money and Finance, Elsevier, vol. 65(C), pages 140-165.
    12. Singh, Aarti & Tornielli di Crestvolant, Stefano, 2018. "Transmission of monetary policy shocks: do input-output interactions matter?," Working Papers 2018-12, University of Sydney, School of Economics.
    13. Ivan Petrella & Raffaele Rossi & Emiliano Santoro, 2017. "Monetary Policy with Sectoral Trade-offs," Centre for Growth and Business Cycle Research Discussion Paper Series 233, Economics, The University of Manchester.
    14. Cantelmo, Alessandro & Melina, Giovanni, 2018. "Monetary policy and the relative price of durable goods," Journal of Economic Dynamics and Control, Elsevier, vol. 86(C), pages 1-48.

Chapters

  1. Luciana Juvenal & Ivan Petrella, 2023. "Unveiling the Dance of Commodity Prices and the Global Financial Cycle," NBER Chapters, in: NBER International Seminar on Macroeconomics 2023, National Bureau of Economic Research, Inc.
    See citations under working paper version above.
  2. Davide Delle Monache & Ivan Petrella & Fabrizio Venditti, 2016. "Common Faith or Parting Ways? A Time Varying Parameters Factor Analysis of Euro-Area Inflation," Advances in Econometrics, in: Dynamic Factor Models, volume 35, pages 539-565, Emerald Group Publishing Limited.
    See citations under working paper version above.Sorry, no citations of chapters recorded.
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