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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. 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. 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.
    2. Morão, Hugo, 2024. "The impact of carbon policy news on the national energy industry," Energy Economics, Elsevier, vol. 134(C).

  2. 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. 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.
    3. Elguellab, Ali & Ezzahid, Elhadj, 2023. "Dissecting the Moroccan business cycle: A trade-based identification of agricultural supply shocks," Economic Modelling, Elsevier, vol. 129(C).
    4. Baffes, John & Kabundi, Alain, 2023. "Commodity price shocks: Order within chaos?," Resources Policy, Elsevier, vol. 83(C).
    5. Jasmien De Winne & Gert Peersman, 2021. "The adverse consequences of global harvest and weather disruptions on economic activity," Nature Climate Change, Nature, vol. 11(8), pages 665-672, August.
    6. 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).
    7. 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).
    8. 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).
    9. 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.
    10. Dainauskas, Justas, 2023. "Time-varying exchange rate pass-through into terms of trade," Journal of International Money and Finance, Elsevier, vol. 137(C).
    11. Gnangnon, Sèna Kimm, 2022. "Effect of structural economic vulnerability on the participation in international trade," EconStor Preprints 262004, ZBW - Leibniz Information Centre for Economics.
    12. Lubomír Civín & Luboš Smutka, 2020. "Vulnerability of European Union Economies in Agro Trade," Sustainability, MDPI, vol. 12(12), pages 1-33, June.
    13. 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.

  3. 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. 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).

  4. 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. 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).
    2. 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.
    3. 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.
    4. 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.
    5. Daniel Hopp, 2021. "Economic Nowcasting with Long Short-Term Memory Artificial Neural Networks (LSTM)," Papers 2106.08901, arXiv.org.
    6. 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.
    7. Mertens, Elmar, 2023. "Precision-based sampling for state space models that have no measurement error," Journal of Economic Dynamics and Control, Elsevier, vol. 154(C).
    8. 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).
    9. Todd E. Clark & Gergely Ganics & Elmar Mertens, 2024. "Constructing fan charts from the ragged edge of SPF forecasts," Working Papers 2429, Banco de España.
    10. Matteo Iacopini & Aubrey Poon & Luca Rossini & Dan Zhu, 2022. "Bayesian Mixed-Frequency Quantile Vector Autoregression: Eliciting tail risks of Monthly US GDP," Papers 2209.01910, arXiv.org.
    11. Joshua C. C. Chan & Aubrey Poon & Dan Zhu, 2023. "High-Dimensional Conditionally Gaussian State Space Models with Missing Data," Papers 2302.03172, arXiv.org.
    12. David Kohns & Arnab Bhattacharjee, 2020. "Nowcasting Growth using Google Trends Data: A Bayesian Structural Time Series Model," Papers 2011.00938, arXiv.org, revised May 2022.
    13. Frank Schorfheide & Dongho Song, 2020. "Real-Time Forecasting with a (Standard) Mixed-Frequency VAR During a Pandemic," Working Papers 20-26, Federal Reserve Bank of Philadelphia.
    14. 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.
    15. Jack Fosten & Daniel Gutknecht & Marc-Oliver Pohle, 2023. "Testing Quantile Forecast Optimality," Papers 2302.02747, arXiv.org, revised Oct 2023.
    16. Bańbura, Marta & Belousova, Irina & Bodnár, Katalin & Tóth, Máté Barnabás, 2023. "Nowcasting employment in the euro area," Working Paper Series 2815, European Central Bank.
    17. Danilo Cascaldi-Garcia, 2022. "Pandemic Priors," International Finance Discussion Papers 1352, Board of Governors of the Federal Reserve System (U.S.).
    18. 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.).
    19. Kohns, David & Potjagailo, Galina, 2023. "Flexible Bayesian MIDAS: time‑variation, group‑shrinkage and sparsity," Bank of England working papers 1025, Bank of England.
    20. Fumio Hayashi & Yuta Tachi, 2023. "Nowcasting Japan’s GDP," Empirical Economics, Springer, vol. 64(4), pages 1699-1735, April.
    21. 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.
    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. Kohns, David & Bhattacharjee, Arnab, 2023. "Nowcasting growth using Google Trends data: A Bayesian Structural Time Series model," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1384-1412.

  5. 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. 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.
    6. 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.
    7. 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.
    8. 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).
    9. Iseringhausen, Martin, 2024. "A time-varying skewness model for Growth-at-Risk," International Journal of Forecasting, Elsevier, vol. 40(1), pages 229-246.
    10. Clark, Todd & Huber, Florian & Koop, Gary & Marcellino, Massimiliano & Pfarrhofer, Michael, 2022. "Tail Forecasting with Multivariate Bayesian Additive Regression Trees," CEPR Discussion Papers 17461, C.E.P.R. Discussion Papers.
    11. Pfarrhofer, Michael, 2022. "Modeling tail risks of inflation using unobserved component quantile regressions," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
    12. Patrick A. Adams & Tobias Adrian & Nina Boyarchenko & Domenico Giannone, 2020. "Forecasting Macroeconomic Risks," Staff Reports 914, Federal Reserve Bank of New York.
    13. 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.
    14. Botelho, Vasco & Foroni, Claudia & Renzetti, Andrea, 2023. "Labour at risk," Working Paper Series 2840, European Central Bank.
    15. 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).
    16. 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.
    17. 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.
    18. 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.
    19. Lhuissier, Stéphane, 2022. "Financial conditions and macroeconomic downside risks in the euro area," European Economic Review, Elsevier, vol. 143(C).
    20. 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.
    21. 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).
    22. Karlsson, Sune & Mazur, Stepan & Nguyen, Hoang, 2021. "Vector autoregression models with skewness and heavy tails," Working Papers 2021:8, Örebro University, School of Business.
    23. Paul Labonne, 2020. "Asymmetric uncertainty : Nowcasting using skewness in real-time data," Papers 2012.02601, arXiv.org, revised May 2024.
    24. Deng, Chuang & Wu, Jian, 2023. "Macroeconomic downside risk and the effect of monetary policy," Finance Research Letters, Elsevier, vol. 54(C).
    25. 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.
    26. Philippe Goulet Coulombe, 2024. "The macroeconomy as a random forest," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(3), pages 401-421, April.

  6. 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.

  7. 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).

  8. 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.

  9. 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. 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).
    2. Hristov, Nikolay & Hülsewig, Oliver & Wollmershäuser, Timo, 2019. "Capital flows in the euro area and TARGET2 balances," Discussion Papers 24/2019, Deutsche Bundesbank.
    3. Geiger, Martin & Güntner, Jochen, 2024. "The chronology of Brexit and UK monetary policy," Journal of Monetary Economics, Elsevier, vol. 142(C).
    4. 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.
    5. Byoung Hark Yoo, 2023. "Conditional Forecasting With a Bayesian Vector Autoregression: Working Paper 2023-08," Working Papers 59629, Congressional Budget Office.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. Müller, Gernot & Georgiadis, Georgios & Schumann, Ben, 2021. "Global Risk and the Dollar," CEPR Discussion Papers 16245, C.E.P.R. Discussion Papers.
    11. 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.
    12. 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.
    13. Miranda-Agrippino, Silvia & Ricco, Giovanni, 2018. "Bayesian vector autoregressions," LSE Research Online Documents on Economics 87393, London School of Economics and Political Science, LSE Library.
    14. Morell, Joe & Rice, Jonathan & Shaw, Frances, 2022. "A Framework for Macroprudential Stress Testing," Research Technical Papers 7/RT/22, Central Bank of Ireland.
    15. Lukas Boer & Malte Rieth, 2024. "The Macroeconomic Consequences of Import Tariffs and Trade Policy Uncertainty," IMF Working Papers 2024/013, International Monetary Fund.
    16. Boer, Lukas & Pescatori, Andrea & Stuermer, Martin, 2021. "Energy Transition Metals," MPRA Paper 110364, University Library of Munich, Germany.
    17. 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.
    18. Breitenlechner, Max & Georgiadis, Georgios & Schumann, Ben, 2022. "What goes around comes around: How large are spillbacks from US monetary policy?," Journal of Monetary Economics, Elsevier, vol. 131(C), pages 45-60.
    19. Daniele Valenti & Andrea Bastianin & Matteo Manera, 2022. "A weekly structural VAR model of the US crude oil market," Working Papers 2022.11, Fondazione Eni Enrico Mattei.
    20. Stefański, Maciej, 2022. "Macroeconomic effects and transmission channels of quantitative easing," Economic Modelling, Elsevier, vol. 114(C).
    21. 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.
    22. Carriero, Andrea & Clark, Todd E. & Marcellino, Massimiliano & Mertens, Elmar, 2023. "Shadow-rate VARs," Discussion Papers 14/2023, Deutsche Bundesbank.
    23. 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.
    24. Sokol, Andrej, 2021. "Fan charts 2.0: flexible forecast distributions with expert judgement," Working Paper Series 2624, European Central Bank.
    25. 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.
    26. 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.
    27. 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.
    28. Max Breitenlechner & Martin Geiger & Mathias Klein, 2024. "The Fiscal Channel of Monetary Policy," Working Papers 2024-07, Faculty of Economics and Statistics, Universität Innsbruck.
    29. 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.
    30. 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).
    31. 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.
    32. 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.
    33. 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.

  10. 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. Cantelmo, Alessandro & Melina, Giovanni, 2023. "Sectoral labor mobility and optimal monetary policy," Macroeconomic Dynamics, Cambridge University Press, vol. 27(1), pages 1-26, January.
    2. Federico Di Pace & Christoph Gortz, 2021. "Monetary Policy, Sectoral Comovement and the Credit Channel," Discussion Papers 21-07, Department of Economics, University of Birmingham.
    3. Di Pace, Federico & Hertweck, Matthias S., 2012. "Labour Market Frictions, Monetary Policy and Durable Goods," Dynare Working Papers 20, CEPREMAP.
    4. Santoro, Sergio & Weber, Henning, 2023. "Micro price heterogeneity and optimal inflation," Occasional Paper Series 322, European Central Bank.
    5. Swapnil Singh & Roel Beetsma, 2018. "Optimal Monetary Policy Under Sectoral Interconnections," De Economist, Springer, vol. 166(3), pages 309-336, September.
    6. Ida, Daisuke, 2020. "Sectoral inflation persistence and optimal monetary policy," Journal of Macroeconomics, Elsevier, vol. 65(C).
    7. Xia, Tian, 2020. "The role of intermediate goods in international monetary cooperation," Journal of International Money and Finance, Elsevier, vol. 100(C).
    8. Vedanta Dhamija & Ricardo Nunes & Roshni Tara, 2023. "House Price Expectations and Inflation Expectations: Evidence from Survey Data," School of Economics Discussion Papers 0823, School of Economics, University of Surrey.
    9. Liutang Gong & Chan Wang & Heng-fu Zou, 2016. "Optimal monetary policy with international trade in intermediate inputs," CEMA Working Papers 604, China Economics and Management Academy, Central University of Finance and Economics.
    10. 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.
    11. Alessandro Cantelmo & Giovanni Melina, 2015. "Monetary Policy and the Relative Price of Durable Goods," CESifo Working Paper Series 5328, CESifo.
    12. Glocker, Christian & Piribauer, Philipp, 2021. "Digitalization, retail trade and monetary policy," Journal of International Money and Finance, Elsevier, vol. 112(C).
    13. Di Pace, Federico & Görtz, Christoph, 2021. "Sectoral comovement, monetary policy and the credit channel," Bank of England working papers 925, Bank of England.

  11. 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.

  12. 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. 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).
    4. Dimitris Korobilis & Maximilian Schröder, 2023. "Monitoring multicountry macroeconomic risk," Working Paper 2023/9, Norges Bank.
    5. 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).
    6. Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2020. "Capturing Macroeconomic Tail Risks with Bayesian Vector Autoregressions," Working Papers 20-02R, Federal Reserve Bank of Cleveland, revised 22 Sep 2020.
    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.
    8. Joël Cariolle & Petros G Sekeris, 2021. "How export shocks corrupt: theory and evidence," Working Papers hal-03164648, HAL.
    9. Cyril Couaillier & Valerio Scalone, 2020. "How does Financial Vulnerability amplify Housing and Credit Shocks?," Working papers 763, Banque de France.
    10. 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.
    11. 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.
    12. Iseringhausen, Martin, 2024. "A time-varying skewness model for Growth-at-Risk," International Journal of Forecasting, Elsevier, vol. 40(1), pages 229-246.
    13. Ghilardi, Matteo F. & Zilberman, Roy, 2024. "Dividend Taxation and Financial Business Cycles," Economics Letters, Elsevier, vol. 238(C).
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    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. Isabel Cairo & Jae Sim, 2017. "Income Inequality, Financial Crises and Monetary Policy," 2017 Meeting Papers 1433, Society for Economic Dynamics.
    20. 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.
    21. 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.
    22. Paul Labonne, 2020. "Asymmetric uncertainty : Nowcasting using skewness in real-time data," Papers 2012.02601, arXiv.org, revised May 2024.
    23. Aubhik Khan & Soyoung Lee, 2023. "Persistent Debt and Business Cycles in an Economy with Production Heterogeneity," Staff Working Papers 23-17, Bank of Canada.
    24. Patrick Fève & Pablo Garcia Sanchez & Alban Moura & Olivier Pierrard, 2021. "Costly default and skewed business cycle," Post-Print hal-03346173, HAL.
    25. 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.
    26. Marcus Ingholt, 2018. "LTV vs. DTI Constraints: When Did They Bind, and How Do They Interact?," 2018 Meeting Papers 866, Society for Economic Dynamics.
    27. Mølbak Ingholt, Marcus, 2022. "Multiple Credit Constraints and Time-Varying Macroeconomic Dynamics," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).

  13. 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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. Chen, Ji & Yang, Xinglin & Liu, Xiliang, 2022. "Learning, disagreement and inflation forecasting," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    6. 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.
    7. 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.
    8. 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).
    9. Barbara Rossi, 2019. "Forecasting in the presence of instabilities: How do we know whether models predict well and how to improve them," Economics Working Papers 1711, Department of Economics and Business, Universitat Pompeu Fabra, revised Jul 2021.
    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.
    11. Harvey, A., 2021. "Score-driven time series models," Cambridge Working Papers in Economics 2133, Faculty of Economics, University of Cambridge.
    12. 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.
    13. 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).
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. Paul Labonne, 2020. "Asymmetric uncertainty : Nowcasting using skewness in real-time data," Papers 2012.02601, arXiv.org, revised May 2024.
    19. 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.
    20. Blasques, F. & Gorgi, P. & Koopman, S.J., 2019. "Accelerating score-driven time series models," Journal of Econometrics, Elsevier, vol. 212(2), pages 359-376.

  14. 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. 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).
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. Manu García & Juan F. Rubio-Ramírez, 2019. "Now-casting Spain," Working Papers 2019-03, FEDEA.
    9. 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, February.
    10. Christiane Baumeister & Danilo Leiva-León & Eric Sims, 2024. "Tracking Weekly State-Level Economic Conditions," The Review of Economics and Statistics, MIT Press, vol. 106(2), pages 483-504, March.
    11. 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.
    12. 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.).
    13. Leon-Ledesma, Miguel & Moro, Alessio, 2017. "The rise of services and balanced growth in theory and data," LSE Research Online Documents on Economics 86161, London School of Economics and Political Science, LSE Library.
    14. Hasan, Iftekhar & Manfredonia, Stefano, 2022. "Productivity, managers’ social connections and the financial crisis," Journal of Banking & Finance, Elsevier, vol. 141(C).
    15. Ivan Mendieta-Muñoz, 2017. "Is Potential Output Growth Falling?," Working Paper Series, Department of Economics, University of Utah 2017_03, University of Utah, Department of Economics.
    16. 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.
    17. Andrew Foerster & Andreas Hornstein & Pierre-Daniel Sarte & Mark W. Watson, 2019. "Aggregate Implications of Changing Sectoral Trends," NBER Working Papers 25867, National Bureau of Economic Research, Inc.
    18. 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.
    19. 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.
    20. Cimadomo, Jacopo & Giannone, Domenico & Lenza, Michele & Monti, Francesca & Sokol, Andrej, 2022. "Nowcasting with large Bayesian vector autoregressions," Journal of Econometrics, Elsevier, vol. 231(2), pages 500-519.
    21. Luciano Campos & Danilo Leiva-León & Steven Zapata, 2022. "Latin American Falls, Rebounds and Tail," Working Papers 145, Red Nacional de Investigadores en Economía (RedNIE).
    22. Francesco Furlanetto & Antoine Lepetit & Ørjan Robstad & Juan F. Rubio-Ramirez & Pål Ulvedal, 2021. "Estimating Hysteresis Effects," Finance and Economics Discussion Series 2021-059, Board of Governors of the Federal Reserve System (U.S.).
    23. Thomas Drechsel & Silvana Tenreyro, 2017. "Commodity Booms and Busts in Emerging Economies," Discussion Papers 1723, Centre for Macroeconomics (CFM).
    24. 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).
    25. Gerdie Everaert & Martin Iseringhausen, 2017. "Measuring The International Dimension Of Output Volatility," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 17/928, Ghent University, Faculty of Economics and Business Administration.
    26. 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.
    27. Matteo Luciani, 2020. "Common and Idiosyncratic Inflation," FEDS Notes 2020-03-05, Board of Governors of the Federal Reserve System (U.S.).
    28. 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.
    29. Berger, Tino & Morley, James & Wong, Benjamin, 2023. "Nowcasting the output gap," Journal of Econometrics, Elsevier, vol. 232(1), pages 18-34.
      • 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.
    30. 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.
    31. Iseringhausen, Martin, 2024. "A time-varying skewness model for Growth-at-Risk," International Journal of Forecasting, Elsevier, vol. 40(1), pages 229-246.
    32. 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.
    33. Chin, Michael & Graeve, Ferre De & Filippeli, Thomai & Theodoridis, Konstantinos, 2018. "Understanding International Long-Term Interest Rate Comovement," Cardiff Economics Working Papers E2018/19, Cardiff University, Cardiff Business School, Economics Section.
    34. Nicholas Oulton, 2018. "The UK (and Western) Productivity Puzzle: Does Arthur Lewis Hold the Key?," Discussion Papers 1809, Centre for Macroeconomics (CFM).
    35. Fosten, Jack, 2019. "CO2 emissions and economic activity: A short-to-medium run perspective," Energy Economics, Elsevier, vol. 83(C), pages 415-429.
    36. 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).
    37. 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.
    38. 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).
    39. 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).
    40. 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.
    41. Mengheng Li & Ivan Mendieta-Muñoz, 2019. "Are long-run output growth rates falling?," Working Papers 2019.07, International Network for Economic Research - INFER.
    42. Alexander Beames & Mariano Kulish & Nadine Yamout, 2021. "Implications of the slowdown in trend growth for fiscal policy in a small open economy," CAMA Working Papers 2021-18, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    43. 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.
    44. Robert Lehmann & Lara Zarges, 2024. "What Drives German Trend Output Growth? A Sectoral View," CESifo Working Paper Series 11089, CESifo.
    45. Brandyn Bok & Daniele Caratelli & Domenico Giannone & Argia M. Sbordone & Andrea Tambalotti, 2018. "Macroeconomic Nowcasting and Forecasting with Big Data," Annual Review of Economics, Annual Reviews, vol. 10(1), pages 615-643, August.
    46. David Kohns & Arnab Bhattacharjee, 2020. "Nowcasting Growth using Google Trends Data: A Bayesian Structural Time Series Model," Papers 2011.00938, arXiv.org, revised May 2022.
    47. 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.
    48. Ivan Mendieta-Muñoz, 2024. "Time-varying investment dynamics in the USA," Working Paper Series, Department of Economics, University of Utah 2024_01, University of Utah, Department of Economics.
    49. Matteo Barigozzi & Matteo Luciani, 2024. "Quasi Maximum Likelihood Estimation and Inference of Large Approximate Dynamic Factor Models via the EM algorithm," Finance and Economics Discussion Series 2024-086, Board of Governors of the Federal Reserve System (U.S.).
    50. 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.
    51. 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).
    52. 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.
    53. 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.
    54. 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.).
    55. 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.
    56. Denis Belomestny & Ekaterina Krymova & Andrey Polbin, 2020. "Estimating TVP-VAR models with time invariant long-run multipliers," Papers 2008.00718, arXiv.org.
    57. Lee, Byoungchan, 2023. "Wealth Inequality and Endogenous Growth," Journal of Monetary Economics, Elsevier, vol. 133(C), pages 132-148.
    58. Bandi, Federico M. & Bretscher, Lorenzo & Tamoni, Andrea, 2023. "Return predictability with endogenous growth," Journal of Financial Economics, Elsevier, vol. 150(3).
    59. 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.
    60. 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).
    61. 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.
    62. 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.
    63. Akos Valentinyi, 2018. "Quantity Measurement and Balanced Growth in Multi-Sector Growth Models," 2018 Meeting Papers 837, Society for Economic Dynamics.
    64. 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.
    65. Nam Gang Lee, 2020. "Vulnerable Growth: A Revisit," Working Papers 2020-22, Economic Research Institute, Bank of Korea.
    66. Crafts, Nicholas & Mills, Terence, 2017. "Trend TFP Growth in the United States: Forecasts versus Outcomes," CEPR Discussion Papers 12029, C.E.P.R. Discussion Papers.
    67. John Fernald, 2018. "Is Slow Productivity and Output Growth in Advanced Economies the New Normal?," International Productivity Monitor, Centre for the Study of Living Standards, vol. 35, pages 138-148, Fall.
    68. Jack Fosten & Daniel Gutknecht, 2021. "Horizon confidence sets," Empirical Economics, Springer, vol. 61(2), pages 667-692, August.
    69. Florian Huber & Gary Koop, 2023. "Fast and Order-invariant Inference in Bayesian VARs with Non-Parametric Shocks," Papers 2305.16827, arXiv.org.
    70. Fritz, Marlon, 2019. "Steady state adjusting trends using a data-driven local polynomial regression," Economic Modelling, Elsevier, vol. 83(C), pages 312-325.
    71. Belomestny, Denis & Krymova, Ekaterina & Polbin, Andrey, 2021. "Bayesian TVP-VARX models with time invariant long-run multipliers," Economic Modelling, Elsevier, vol. 101(C).
    72. 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).
    73. Kohns, David & Potjagailo, Galina, 2023. "Flexible Bayesian MIDAS: time‑variation, group‑shrinkage and sparsity," Bank of England working papers 1025, Bank of England.
    74. 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.
    75. 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.
    76. 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.
    77. Nicolo Maffei-Faccioli, 2020. "Identifying the Sources of the Slowdown in Growth: Demand vs. Supply," 2020 Papers pma2978, Job Market Papers.
    78. Paul Labonne, 2020. "Asymmetric uncertainty : Nowcasting using skewness in real-time data," Papers 2012.02601, arXiv.org, revised May 2024.
    79. 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.
    80. Götz, Thomas B. & Hauzenberger, Klemens, 2018. "Large mixed-frequency VARs with a parsimonious time-varying parameter structure," Discussion Papers 40/2018, Deutsche Bundesbank.
    81. Akos Valentinyi & Georg Duernecker, 2017. "Unbalanced Growth Slowdown," 2017 Meeting Papers 822, Society for Economic Dynamics.
    82. Kohns, David & Bhattacharjee, Arnab, 2023. "Nowcasting growth using Google Trends data: A Bayesian Structural Time Series model," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1384-1412.
    83. 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.
    84. Klaus Gründler & Niklas Potrafke, 2023. "Population Aging, Retirement, and Aggregate Productivity," CESifo Working Paper Series 10594, CESifo.
    85. 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.
    86. Saeed Zaman, 2021. "A Unified Framework to Estimate Macroeconomic Stars," Working Papers 21-23R2, Federal Reserve Bank of Cleveland, revised 31 May 2024.

  15. 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. 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.
    2. 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).
    3. 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.
    4. 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.
    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. 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.
    7. 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.
    8. Spencer, Simon & Bredin, Don, 2019. "Agreement matters: OPEC announcement effects on WTI term structure," Energy Economics, Elsevier, vol. 80(C), pages 589-609.
    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.

  16. 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. Angelini, Giovanni & Gorgi, Paolo, 2018. "DSGE Models with observation-driven time-varying volatility," Economics Letters, Elsevier, vol. 171(C), pages 169-171.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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).
    9. Giovanni Angelini & Paolo Gorgi, 2018. "DSGE Models with Observation-Driven Time-Varying parameters," Tinbergen Institute Discussion Papers 18-030/III, Tinbergen Institute.

  17. 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. 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.
    3. 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.
    4. Marcellino, Massimiliano & Carriero, Andrea & Corsello, Francesco, 2019. "The Global Component of Inflation Volatility," CEPR Discussion Papers 13470, C.E.P.R. Discussion Papers.
    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. 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.
    7. Lodge, David & Pérez, Javier J. & Albrizio, Silvia & Everett, Mary & De Bandt, Olivier & Georgiadis, Georgios & Ca' Zorzi, Michele & Lastauskas, Povilas & Carluccio, Juan & Parrága, Susana & Carvalho,, 2021. "The implications of globalisation for the ECB monetary policy strategy," Occasional Paper Series 263, European Central Bank.
    8. 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.

  18. 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. 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.
    2. Stefano Grassi & Paolo Santucci de Magistris, 2013. "It’s all about volatility (of volatility): evidence from a two-factor stochastic volatility model," CREATES Research Papers 2013-03, Department of Economics and Business Economics, Aarhus University.
    3. Barbara Rossi, 2019. "Forecasting in the presence of instabilities: How do we know whether models predict well and how to improve them," Economics Working Papers 1711, Department of Economics and Business, Universitat Pompeu Fabra, revised Jul 2021.
    4. Dave, Chetan & Malik, Samreen, 2017. "A tale of fat tails," European Economic Review, Elsevier, vol. 100(C), pages 293-317.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. Francisco Blasques & Siem Jan Koopman & André Lucas, 2014. "Optimal Formulations for Nonlinear Autoregressive Processes," Tinbergen Institute Discussion Papers 14-103/III, Tinbergen Institute.

  19. 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. 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.
    3. Fornaro, Paolo & Luomaranta, Henri, 2016. "Job Creation and the Role of Dependencies," ETLA Working Papers 44, The Research Institute of the Finnish Economy.
    4. 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.

  20. 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. Krusell, Per & Rudanko, Leena, 2016. "Unions in a frictional labor market," Journal of Monetary Economics, Elsevier, vol. 80(C), pages 35-50.
    3. 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.
    4. 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.

  21. 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. Fergus Cumming & Paul Hubert, 2019. "The role of households' borrowing constraints in the transmission of monetary policy," SciencePo Working papers Main hal-03403257, HAL.
    2. 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.
    3. 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.
    4. Daragh Clancy & Lorenzo Ricci, 2019. "Loss aversion, economic sentiments and international consumption smoothing," Working Papers 35, European Stability Mechanism.
    5. Frederic Boissay & Fabrice Collard & Cristina Manea & Adam Shapiro, 2023. "Monetary tightening, inflation drivers and financial stress," BIS Working Papers 1155, Bank for International Settlements.
    6. 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.
    7. Alessandri, Piergiorgio & Jordà , Òscar & Venditti, Fabrizio, 2023. "Decomposing the monetary policy multiplier," CEPR Discussion Papers 18166, C.E.P.R. Discussion Papers.
    8. 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.
    9. Alexander Doser & Ricardo Nunes & Nikhil Rao & Viacheslav Sheremirov, 2023. "Inflation expectations and nonlinearities in the Phillips curve," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(4), pages 453-471, June.
    10. 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.
    11. 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.
    12. Davide Debortoli & Mario Forni & Luca Gambetti & Luca Sala, 2023. "Asymmetric Monetary Policy Tradeoffs," Working Papers 1404, Barcelona School of Economics.
    13. Giovanni Di Bartolomeo & Carolina Serpieri, 2018. "Robust Optimal Policies in a Behavioural New Keynesian Model," JRC Research Reports JRC111603, Joint Research Centre.
    14. Rothfelder, Mario & Boldea, Otilia, 2019. "Testing for a Threshold in Models with Endogenous Regressors," Discussion Paper 2019-030, Tilburg University, Center for Economic Research.
    15. Elisabeth Falck & Mathias Hoffmann & Patrick Hürtgen, 2018. "Disagreement and Monetary Policy," 2018 Meeting Papers 655, Society for Economic Dynamics.
    16. Baqaee, David Rezza, 2020. "Asymmetric inflation expectations, downward rigidity of wages, and asymmetric business cycles," Journal of Monetary Economics, Elsevier, vol. 114(C), pages 174-193.
    17. 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.
    18. Faia, Ester & Bursian, Dirk, 2015. "Trust in the Monetary Authority," CEPR Discussion Papers 10541, C.E.P.R. Discussion Papers.
    19. 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.
    20. 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.
    21. 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.).
    22. Clancy, Daragh & Ricci, Lorenzo, 2022. "Economic sentiments and international risk sharing," International Economics, Elsevier, vol. 169(C), pages 208-229.
    23. 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).
    24. 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.
    25. 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.
    26. Gross, Isaac & Hansen, James, 2021. "Optimal policy design in nonlinear DSGE models: An n-order accurate approximation," European Economic Review, Elsevier, vol. 140(C).
    27. Di Bartolomeo, Giovanni & Di Pietro, Marco & Giannini, Bianca, 2016. "Optimal monetary policy in a New Keynesian model with heterogeneous expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 73(C), pages 373-387.
    28. Levieuge, Grégory & Sahuc, Jean-Guillaume, 2021. "Downward interest rate rigidity," European Economic Review, Elsevier, vol. 137(C).
    29. Jaccard, Ivan, 2018. "Stochastic discounting and the transmission of money supply shocks," Working Paper Series 2174, European Central Bank.
    30. 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.
    31. Jaccard, Ivan, 2024. "Monetary asymmetries without (and with) price stickiness," Working Paper Series 2928, European Central Bank.
    32. Travis J. Berge & Maarten De Ridder & Damjan Pfajfar, 2020. "When is the Fiscal Multiplier High? A Comparison of Four Business Cycle Phases," Finance and Economics Discussion Series 2020-026, Board of Governors of the Federal Reserve System (U.S.).
    33. 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.
    34. 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..
    35. 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, February.
    36. Forni, Mario & Debortoli, Davide & Gambetti, Luca & Sala, Luca, 2020. "Asymmetric Effects of Monetary Policy Easing and Tightening," CEPR Discussion Papers 15005, C.E.P.R. Discussion Papers.
    37. Kwangyong Park, 2019. "Uncertainty, Attention Allocation and Monetary Policy Asymmetry," Working Papers 2019-5, Economic Research Institute, Bank of Korea.
    38. Rothfelder, Mario P. & Boldea, Otilia, 2022. "Testing for a Threshold in Models with Endogenous Regressors," Other publications TiSEM 674deead-8826-450a-8f56-f, Tilburg University, School of Economics and Management.
    39. 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.
    40. 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.
    41. Frédéric Karamé, 2015. "Asymmetries and Markov-switching structural VAR," Post-Print hal-02296101, HAL.
    42. Kim, Youngju & Lim, Hyunjoon, 2020. "Transmission of monetary policy in times of high household debt," Journal of Macroeconomics, Elsevier, vol. 63(C).
    43. Rothfelder, Mario & Boldea, Otilia, 2019. "Testing for a Threshold in Models with Endogenous Regressors," Other publications TiSEM 94a7c921-f27f-43a0-82f4-4, Tilburg University, School of Economics and Management.
    44. 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.
    45. 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.).
    46. Claus, Edda & Nguyen, Viet Hoang, 2020. "Monetary policy shocks from the consumer perspective," Journal of Monetary Economics, Elsevier, vol. 114(C), pages 159-173.
    47. 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.
    48. 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.
    49. 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.
    50. Kamalyan, Hayk, 2021. "Phase-Dependent Monetary and Fiscal Policy," MPRA Paper 110341, University Library of Munich, Germany.
    51. O. Klishchuk, 2018. "The low sensibility of monetary transmission mechanism in low-income countries," Economy and Forecasting, Valeriy Heyets, issue 4, pages 129-150.
    52. 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.
    53. 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.
    54. 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.
    55. 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.
    56. Lena Dräger & Jan-Oliver Menz & Ulrich Fritsche, 2011. "Perceived Inflation under Loss Aversion," Macroeconomics and Finance Series 201105, University of Hamburg, Department of Socioeconomics.
    57. 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.
    58. 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.
    59. 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.).
    60. 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.
    61. Christian Matthes & Regis Barnichon, 2015. "Measuring the Non-Linear Effects of Monetary Policy," 2015 Meeting Papers 49, Society for Economic Dynamics.
    62. Faia, Ester & Curatola, Giuliano, 2016. "Divergent Reference-Dependent Risk-Attitudes and Endogenous Collateral Constraints," CEPR Discussion Papers 11678, C.E.P.R. Discussion Papers.
    63. 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.
    64. 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).
    65. 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).
    66. 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.
    67. 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.
    68. 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.
    69. Mishel Ghassibe, 2024. "Endogenous Production Networks and Non-Linear Monetary Transmission," Working Papers 1449, Barcelona School of Economics.

  22. 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. Ing-Haw Cheng & Wei Xiong, 2014. "Financialization of Commodity Markets," Annual Review of Financial Economics, Annual Reviews, vol. 6(1), pages 419-441, December.
    3. Delle Chiaie, Simona & Ferrara, Laurent & Giannone, Domenico, 2018. "Common factors of commodity prices," Research Bulletin, European Central Bank, vol. 51.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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).
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. Juan Antolín-Díaz & Juan F. Rubio-Ramírez, 2017. "Narrative Sign Restrictions for SVARs," Working Papers 2017-07, FEDEA.
    14. 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).
    15. 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.
    16. Ludwig, Michael, 2019. "Speculation and its impact on liquidity in commodity markets," Resources Policy, Elsevier, vol. 61(C), pages 532-547.
    17. 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).
    18. Lutz Kilian, 2019. "Facts and Fiction in Oil Market Modeling," CESifo Working Paper Series 7902, CESifo.
    19. 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.
    20. Lodge, David & Manu, Ana-Simona, 2019. "EME financial conditions: which global shocks matter?," Working Paper Series 2282, European Central Bank.
    21. 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.
    22. 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.
    23. Selien De Schryder and Gert Peersman, 2015. "The U.S. Dollar Exchange Rate and the Demand for Oil," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    24. 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).
    25. 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.
    26. Christopher R. Knittel & Robert S. Pindyck, 2013. "The Simple Economics of Commodity Price Speculation," NBER Working Papers 18951, National Bureau of Economic Research, Inc.
    27. Irwin, Scott H. & Sanders, Dwight R., 2012. "Financialization and Structural Change in Commodity Futures Markets," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 44(3), pages 371-396, August.
    28. Liu, Li & Wang, Yudong & Wu, Chongfeng & Wu, Wenfeng, 2016. "Disentangling the determinants of real oil prices," Energy Economics, Elsevier, vol. 56(C), pages 363-373.
    29. Ronald A. Ratti & Joaquin L. Vespignani, 2015. "What drives the global interest rate," Globalization Institute Working Papers 241, Federal Reserve Bank of Dallas.
    30. 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.
    31. 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).
    32. 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.
    33. 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).
    34. 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).
    35. Luciana Juvenal & Ivan Petrella, 2012. "Speculation in the oil market," Economic Synopses, Federal Reserve Bank of St. Louis.
    36. 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.
    37. Abdelkader Derbali & Tarek Chebbi, 2015. "The dynamic correlation between energy commodities and Islamic stock market: analysis and forecasting," Post-Print hal-01696007, HAL.
    38. 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.).
    39. Känzig, Diego Raoul, 2020. "The macroeconomic effects of oil supply news: Evidence from OPEC announcements," MPRA Paper 106249, University Library of Munich, Germany.
    40. 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.
    41. Alonso-Alvarez, Irma & Di Nino, Virginia & Venditti, Fabrizio, 2022. "Strategic interactions and price dynamics in the global oil market," Energy Economics, Elsevier, vol. 107(C).
    42. Christina Anderl & Guglielmo Maria Caporale, 2024. "Expectations and Speculation in the Natural Gas Markets," CESifo Working Paper Series 11341, CESifo.
    43. Aleksander Olstad & George Filis & Stavros Degiannakis, 2021. "Oil and currency volatilities: Co‐movements and hedging opportunities," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 2351-2374, April.
    44. Morana, Claudio, 2012. "Oil Price Dynamics, Macro-Finance Interactions and the Role of Financial Speculation," Energy: Resources and Markets 121723, Fondazione Eni Enrico Mattei (FEEM).
    45. Fernandes, Leonardo H.S. & Araújo, Fernando H.A., 2020. "Taxonomy of commodities assets via complexity-entropy causality plane," Chaos, Solitons & Fractals, Elsevier, vol. 137(C).
    46. Gambetti, Luca & Moretti, Laura, 2017. "News, Noise and Oil Price Swings," Research Technical Papers 12/RT/17, Central Bank of Ireland.
    47. Paschmann, Martin, 2017. "Economic Analysis of Price Premiums in the Presence of Non-convexities - Evidence from German Electricity Markets," EWI Working Papers 2017-12, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    48. Yue Liu & Hao Dong & Pierre Failler, 2019. "The Oil Market Reactions to OPEC’s Announcements," Energies, MDPI, vol. 12(17), pages 1-15, August.
    49. Xiao, Qin & Yan, Meilan & Zhang, Dalu, 2023. "Commodity market financialization, herding and signals: An asymmetric GARCH R-vine copula approach," International Review of Financial Analysis, Elsevier, vol. 89(C).
    50. Robert Czudaj, 2019. "Crude oil futures trading and uncertainty," Chemnitz Economic Papers 027, Department of Economics, Chemnitz University of Technology, revised Jan 2019.
    51. Marek Kwas & Alessia Paccagnini & Michal Rubaszek, 2020. "Common factors and the dynamics of cereal prices. A forecasting perspective," CAMA Working Papers 2020-47, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    52. Ekaterini Panopoulou & Theologos Pantelidis, 2014. "Speculative behaviour and oil price predictability," Discussion Paper Series 2014_09, Department of Economics, University of Macedonia, revised Dec 2014.
    53. Youssef, Manel & Mokni, Khaled, 2021. "Oil-gold nexus: Evidence from regime switching-quantile regression approach," Resources Policy, Elsevier, vol. 73(C).
    54. Nooman Rebei & Rashid Sbia, 2021. "Transitory and permanent shocks in the global market for crude oil," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(7), pages 1047-1064, November.
    55. Chang, Chiu-Lan, 2024. "Extreme events, economic uncertainty and speculation on occurrences of price bubbles in crude oil futures," Energy Economics, Elsevier, vol. 130(C).
    56. Mokni, Khaled & Hammoudeh, Shawkat & Ajmi, Ahdi Noomen & Youssef, Manel, 2020. "Does economic policy uncertainty drive the dynamic connectedness between oil price shocks and gold price?," Resources Policy, Elsevier, vol. 69(C).
    57. Sun, Hang & Bos, Jaap W.B. & Li, Zhuo, 2017. "In the Nick of Time: A Heteroskedastic SVAR Model and Its Application to the Crude Oil Futures Market," Research Memorandum 019, Maastricht University, Graduate School of Business and Economics (GSBE).
    58. Wang, Yudong & Liu, Li & Diao, Xundi & Wu, Chongfeng, 2015. "Forecasting the real prices of crude oil under economic and statistical constraints," Energy Economics, Elsevier, vol. 51(C), pages 599-608.
    59. Troester, Bernhard & Staritz, Cornelia, 2013. "Fundamentals or financialisation of commodity markets: What determines recent wheat prices?," Working Papers 43, Austrian Foundation for Development Research (ÖFSE).
    60. Guo, Yaoqi & Shi, Fengyuan & Lin, Boqiang & Zhang, Hongwei, 2023. "The impact of oil shocks from different sources on China's clean energy metal stocks: An analysis of spillover effects based on a time-varying perspective," Resources Policy, Elsevier, vol. 81(C).
    61. Marc Joëts, 2013. "Heterogeneous Beliefs, Regret, and Uncertainty: The Role of Speculation in Energy Price Dynamics," Working Papers 2013.32, Fondazione Eni Enrico Mattei.
    62. Yan, Lei & Irwin, Scott H. & Sanders, Dwight R., 2018. "Mapping algorithms, agricultural futures, and the relationship between commodity investment flows and crude oil futures prices," Energy Economics, Elsevier, vol. 72(C), pages 486-504.
    63. De, Kuhelika & Compton, Ryan A. & Giedeman, Daniel C., 2022. "Oil shocks and the U.S. economy in a data-rich model," Economic Modelling, Elsevier, vol. 108(C).
    64. 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).
    65. Bonnier, Jean-Baptiste, 2021. "Speculation and informational efficiency in commodity futures markets," Journal of International Money and Finance, Elsevier, vol. 117(C).
    66. Arshad, Shaista & Rizvi, Syed Aun R. & Haroon, Omair & Mehmood, Fahad & Gong, Qiang, 2021. "Are oil prices efficient?," Economic Modelling, Elsevier, vol. 96(C), pages 362-370.
    67. Celso Brunetti & Jeffrey H. Harris & Bahattin Büyükşahin, 2024. "Crude Oil Price Movements and Institutional Traders," Commodities, MDPI, vol. 3(1), pages 1-23, February.
    68. Juste Somé, 2023. "Oil Demand and Supply Shocks in Canada’s Economy," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 21(2), pages 363-394, June.
    69. Daniele Valenti & Andrea Bastianin & Matteo Manera, 2022. "A weekly structural VAR model of the US crude oil market," Working Papers 2022.11, Fondazione Eni Enrico Mattei.
    70. Dale Roberts & Laura Ryan, 2015. "Evidence of speculation in world oil prices," Australian Journal of Management, Australian School of Business, vol. 40(4), pages 630-651, November.
    71. Camille Aït-Youcef, 2019. "How index investment impacts commodities : A story about the financialization of agricultural commodities," Post-Print hal-03484371, HAL.
    72. 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.
    73. 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.
    74. 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.
    75. 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.
    76. Xiaojun Chen & Yun Shi & Xiaozhou Wang, 2020. "Equilibrium Oil Market Share under the COVID-19 Pandemic," Papers 2007.15265, arXiv.org.
    77. 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.
    78. 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.
    79. 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.
    80. 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.
    81. 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.
    82. 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.
    83. Wei, Yanfeng & Guo, Xiaoying, 2017. "Oil price shocks and China's stock market," Energy, Elsevier, vol. 140(P1), pages 185-197.
    84. 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.
    85. Ratti, Ronald A. & Vespignani, Joaquin L., 2016. "Oil prices and global factor macroeconomic variables," Energy Economics, Elsevier, vol. 59(C), pages 198-212.
    86. 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.
    87. James D. Hamilton, 2021. "Measuring global economic activity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(3), pages 293-303, April.
    88. Barigozzi, Matteo & Lippi, Marco & Luciani, Matteo, 2021. "Large-dimensional Dynamic Factor Models: Estimation of Impulse–Response Functions with I(1) cointegrated factors," Journal of Econometrics, Elsevier, vol. 221(2), pages 455-482.
    89. Jamie L. Cross & Bao H. Nguyen & Trung Duc Tran, 2021. "The Role of Precautionary and Speculative Demand in the Global Market for Crude Oil," Working Papers No 06/2021, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    90. Raza, Syed Ali & Masood, Amna & Benkraiem, Ramzi & Urom, Christian, 2023. "Forecasting the volatility of precious metals prices with global economic policy uncertainty in pre and during the COVID-19 period: Novel evidence from the GARCH-MIDAS approach," Energy Economics, Elsevier, vol. 120(C).
    91. Matteo Barigozzi & Matteo Luciani, 2024. "Quasi Maximum Likelihood Estimation and Inference of Large Approximate Dynamic Factor Models via the EM algorithm," Finance and Economics Discussion Series 2024-086, Board of Governors of the Federal Reserve System (U.S.).
    92. Philip Pilkington, 2013. "A Stock-flow Approach to a General Theory of Pricing," Economics Working Paper Archive wp_781, Levy Economics Institute.
    93. Braun, Robin, 2021. "The importance of supply and demand for oil prices: evidence from non-Gaussianity," Bank of England working papers 957, Bank of England.
    94. Christiane J.S. Baumeister & James D. Hamilton, 2017. "Structural Interpretation of Vector Autoregressions with Incomplete Identification: Revisiting the Role of Oil Supply and Demand Shocks," NBER Working Papers 24167, National Bureau of Economic Research, Inc.
    95. Krzysztof Drachal, 2022. "Forecasting the Crude Oil Spot Price with Bayesian Symbolic Regression," Energies, MDPI, vol. 16(1), pages 1-29, December.
    96. Brignone, Davide & Gambetti, Luca & Ricci, Martino, 2024. "Geopolitical risk shocks: when the size matters," Working Paper Series 2972, European Central Bank.
    97. Jiaying Peng & Zhenghui Li & Benjamin M. Drakeford, 2020. "Dynamic Characteristics of Crude Oil Price Fluctuation—From the Perspective of Crude Oil Price Influence Mechanism," Energies, MDPI, vol. 13(17), pages 1-19, August.
    98. 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.).
    99. Ronald A. Ratti & Joaquin L. Vespignani, 2014. "Oil prices and the economy: A global perspective," CAMA Working Papers 2014-41, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    100. 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.
    101. 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.
    102. 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).
    103. 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.
    104. 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).
    105. 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.
    106. Krzysztof Drachal & Michał Pawłowski, 2024. "Forecasting Selected Commodities’ Prices with the Bayesian Symbolic Regression," IJFS, MDPI, vol. 12(2), pages 1-56, March.
    107. 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.
    108. Gogolin, Fabian & Kearney, Fearghal, 2016. "Does speculation impact what factors determine oil futures prices?," Economics Letters, Elsevier, vol. 144(C), pages 119-122.
    109. 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.
    110. 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).
    111. 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.
    112. Kruse, Robinson & Wegener, Christoph, 2020. "Time-varying persistence in real oil prices and its determinant," Energy Economics, Elsevier, vol. 85(C).
    113. 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).
    114. 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.
    115. Syed Abul, Basher, 2014. "Stock markets and energy prices," MPRA Paper 53863, University Library of Munich, Germany.
    116. 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.
    117. 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.
    118. Robert Socha & Piotr Wdowiński, 2018. "Tendencje zmian cen na światowym rynku ropy naftowej po 2000 roku," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 1, pages 103-135.
    119. Mokni, Khaled & Al-Shboul, Mohammed & Assaf, Ata, 2021. "Economic policy uncertainty and dynamic spillover among precious metals under market conditions: Does COVID-19 have any effects?," Resources Policy, Elsevier, vol. 74(C).
    120. 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.
    121. Maciej Mróz, 2022. "The Impact of Energy Commodity Prices on Selected Clean Energy Metal Prices," Energies, MDPI, vol. 15(9), pages 1-15, April.
    122. 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).
    123. 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.
    124. 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.
    125. 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.
    126. 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.
    127. Tenreyro, Silvana & Drechsel, Thomas & McLeay, Michael, 2019. "Monetary policy for commodity booms and busts," CEPR Discussion Papers 14030, C.E.P.R. Discussion Papers.
    128. 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).
    129. Kwas, Marek & Paccagnini, Alessia & Rubaszek, Michał, 2021. "Common factors and the dynamics of industrial metal prices. A forecasting perspective," Resources Policy, Elsevier, vol. 74(C).
    130. 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).
    131. Uğur Akkoç & Anıl Akçağlayan & Gamze Kargın Akkoç, 2021. "The impacts of oil price shocks in Turkey: sectoral evidence from the FAVAR approach," Economic Change and Restructuring, Springer, vol. 54(4), pages 1147-1171, November.
    132. James D. Hamilton, 2019. "Measuring Global Economic Activity," NBER Working Papers 25778, National Bureau of Economic Research, Inc.
    133. Yin, Libo & Wang, Yang, 2019. "Forecasting the oil prices: What is the role of skewness risk?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    134. F. Benedetto & L. Mastroeni & P. Vellucci, 2021. "Modeling the flow of information between financial time-series by an entropy-based approach," Annals of Operations Research, Springer, vol. 299(1), pages 1235-1252, April.
    135. Stock, J.H. & Watson, M.W., 2016. "Dynamic Factor Models, Factor-Augmented Vector Autoregressions, and Structural Vector Autoregressions in Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 415-525, Elsevier.
    136. Gronwald, Marc, 2016. "Explosive oil prices," Energy Economics, Elsevier, vol. 60(C), pages 1-5.
    137. Michael Sockin & Wei Xiong, 2013. "Informational Frictions and Commodity Markets," NBER Working Papers 18906, National Bureau of Economic Research, Inc.
    138. Nima Nonejad, 2020. "A detailed look at crude oil price volatility prediction using macroeconomic variables," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(7), pages 1119-1141, November.
    139. Fredj Jawadi & Abdoulkarim Idi Cheffou & Ruijun Bu, 2023. "Revisiting the linkages between oil prices and macroeconomy for the euro area: Does energy inflation still matter?," Post-Print hal-04478724, HAL.
    140. Meng, Fanyi & Liu, Li, 2019. "Analyzing the economic sources of oil price volatility: An out-of-sample perspective," Energy, Elsevier, vol. 177(C), pages 476-486.
    141. Theodosios Perifanis, 2019. "Detecting West Texas Intermediate (WTI) Prices’ Bubble Periods," Energies, MDPI, vol. 12(14), pages 1-16, July.
    142. Baumeister, Christiane & Hamilton, James D., 2021. "Reprint: Drawing conclusions from structural vector autoregressions identified on the basis of sign restrictions," Journal of International Money and Finance, Elsevier, vol. 114(C).
    143. D'Ecclesia, Rita L. & Magrini, Emiliano & Montalbano, Pierluigi & Triulzi, Umberto, 2014. "Understanding recent oil price dynamics: A novel empirical approach," Energy Economics, Elsevier, vol. 46(S1), pages 11-17.
    144. Semeyutin, Artur & Gozgor, Giray & Lau, Chi Keung Marco & Xu, Bing, 2021. "Effects of idiosyncratic jumps and co-jumps on oil, gold, and copper markets," Energy Economics, Elsevier, vol. 104(C).
    145. Saleh Mothana Obadi & Matej Korecek, 2018. "The Crude Oil Price and Speculations: Investigation Using Granger Causality Test," International Journal of Energy Economics and Policy, Econjournals, vol. 8(3), pages 275-282.
    146. Mhd Ruslan, Siti Marsila & Mokhtar, Kasypi, 2021. "Stock market volatility on shipping stock prices: GARCH models approach," The Journal of Economic Asymmetries, Elsevier, vol. 24(C).
    147. Baumeister, Christiane & Hamilton, James, 2017. "Structural Interpretation of Vector Autoregressions with Incomplete Identification: Revisiting the Role of Oil Supply and Deman," CEPR Discussion Papers 12532, C.E.P.R. Discussion Papers.
    148. 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.
    149. Venditti, Fabrizio & Veronese, Giovanni, 2020. "Global financial markets and oil price shocks in real time," Working Paper Series 2472, European Central Bank.
    150. Lang, Korbinian & Auer, Benjamin R., 2020. "The economic and financial properties of crude oil: A review," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    151. Yao, Wei & Alexiou, Constantinos, 2024. "On the transmission mechanism between the inventory arbitrage activity, speculative activity and the commodity price under the US QE policy: Evidence from a TVP-VAR model," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 1054-1072.
    152. Jamie Cross & Bao H. Nguyen & Bo Zhang, 2019. "New Kid on the Block? China vs the US in World Oil Markets," Working Papers No 02/2019, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    153. Wei, Yu & Liu, Jing & Lai, Xiaodong & Hu, Yang, 2017. "Which determinant is the most informative in forecasting crude oil market volatility: Fundamental, speculation, or uncertainty?," Energy Economics, Elsevier, vol. 68(C), pages 141-150.
    154. Chkir, Imed & Guesmi, Khaled & Brayek, Angham Ben & Naoui, Kamel, 2020. "Modelling the nonlinear relationship between oil prices, stock markets, and exchange rates in oil-exporting and oil-importing countries," Research in International Business and Finance, Elsevier, vol. 54(C).
    155. Samya Beidas-Strom & Mr. Andrea Pescatori, 2014. "Oil Price Volatility and the Role of Speculation," IMF Working Papers 2014/218, International Monetary Fund.
    156. Stephen Snudden, 2013. "Cyclical Fiscal Rules for Oil-Exporting Countries," IMF Working Papers 2013/229, International Monetary Fund.
    157. 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.
    158. 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).
    159. 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).
    160. Batista Soares, David & Borocco, Etienne, 2022. "Rational destabilization in commodity markets," Journal of Commodity Markets, Elsevier, vol. 25(C).
    161. Jean-Baptiste Bonnier, 2021. "Speculation and informational efficiency in commodity futures markets," Post-Print hal-04299220, HAL.
    162. 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.
    163. David Batista Soares & Etienne Borocco, 2022. "Rational destabilization in commodity markets [Déstabilisation rationnelle des marchés de matières premières]," Post-Print hal-03256534, HAL.
    164. Gong, Xu & Chen, Liqiang & Lin, Boqiang, 2020. "Analyzing dynamic impacts of different oil shocks on oil price," Energy, Elsevier, vol. 198(C).
    165. 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.
    166. 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.
    167. Filippo Lechthaler & Lisa Leinert, 2019. "Moody oil: What is driving the crude oil price?," Empirical Economics, Springer, vol. 57(5), pages 1547-1578, November.
    168. Sharma, Shahil & Rodriguez, Ivan, 2019. "The diminishing hedging role of crude oil: Evidence from time varying financialization," Journal of Multinational Financial Management, Elsevier, vol. 52.
    169. Liu, Dandan & Wang, Qiaoyu & Yan, Karen Xueqing, 2022. "Oil supply news shock and Chinese economy," China Economic Review, Elsevier, vol. 73(C).
    170. Xiafei Li & Yu Wei & Xiaodan Chen & Feng Ma & Chao Liang & Wang Chen, 2022. "Which uncertainty is powerful to forecast crude oil market volatility? New evidence," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 4279-4297, October.
    171. 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.
    172. Etienne, Xiaoli L. & Irwin, Scott H. & Garcia, Philip, 2013. "Dissecting Corn Price Movements with Directed Acyclic Graphs," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 151279, Agricultural and Applied Economics Association.

  23. 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. 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).

  24. 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, 2019. "Monetary Policy with Sectoral Trade‐Offs," Scandinavian Journal of Economics, Wiley Blackwell, vol. 121(1), pages 55-88, January.

  25. 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.

  26. 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. 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.
    4. Benjamin Born & Johannes Pfeifer, 2017. "Uncertainty-driven Business Cycles: Assessing the Markup Channel," CESifo Working Paper Series 6303, CESifo.
    5. 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.
    6. 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.
    7. Alessandro Cantelmo & Giovanni Melina, 2015. "Monetary Policy and the Relative Price of Durable Goods," CESifo Working Paper Series 5328, CESifo.
    8. 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.
    9. 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.
    10. 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.
    11. Malikane, Christopher, 2013. "A New Keynesian Triangle Phillips Curve," MPRA Paper 43548, University Library of Munich, Germany.
    12. 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.

  27. 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. 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.
    4. Yang, Jangho & Heinrich, Torsten & Winkler, Julian & Lafond, François & Koutroumpis, Pantelis & Farmer, J. Doyne, 2019. "Measuring productivity dispersion: a parametric approach using the Lévy alpha-stable distribution," MPRA Paper 96474, University Library of Munich, Germany.
    5. 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.
    6. 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.
    7. Åstebro, Thomas & Tåg, Joacim, 2015. "Jobs Incorporated: Incorporation Status and Job Creation," Working Paper Series 1059, Research Institute of Industrial Economics.
    8. 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.
    9. Halvarsson, Daniel, 2013. "Identifying High-Growth Firms," Ratio Working Papers 215, The Ratio Institute.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.

  28. Gaffeo, E. & Petrella, I. & Pfajfar, D. & Santoro, E., 2010. "Reference-dependent Preferences and the Transmission of Monetary Policy," Other publications TiSEM 2d1a9a11-fccf-42ef-8779-3, Tilburg University, School of Economics and Management.

    Cited by:

    1. Enrico Marchetti & Giuseppe Ciccarone, 2012. "Macroeconomic effects of loss aversion in a signal extraction model," EcoMod2012 4119, EcoMod.
    2. 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.
    3. 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.

  29. 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. 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.
    3. 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.

  30. Gaffeo, E. & Petrella, I. & Pfajfar, D. & Santoro, E., 2010. "Reference-Dependent Preferences and the Transmission of Monetary Policy," Other publications TiSEM 23d33e54-e5c4-4ac3-b6c9-0, Tilburg University, School of Economics and Management.

    Cited by:

    1. Enrico Marchetti & Giuseppe Ciccarone, 2012. "Macroeconomic effects of loss aversion in a signal extraction model," EcoMod2012 4119, EcoMod.
    2. 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.
    3. 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.

  31. 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. Vasco Carvalho, 2014. "From micro to macro via production networks," Economics Working Papers 1449, Department of Economics and Business, Universitat Pompeu Fabra.
    2. Vasco M Carvalho & Makoto Nirei & Yukiko U Saito & Alireza Tahbaz-Salehi, 2021. "Supply Chain Disruptions: Evidence from the Great East Japan Earthquake," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 136(2), pages 1255-1321.
    3. Wolff, Christian & Bams, Dennis & Pisa, Magdalena, 2015. "Ripple effects from industry defaults," CEPR Discussion Papers 10891, C.E.P.R. Discussion Papers.
    4. 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.
    5. 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.
    6. Alexander Chudik & M. Hashem Pesaran, 2016. "Theory And Practice Of Gvar Modelling," Journal of Economic Surveys, Wiley Blackwell, vol. 30(1), pages 165-197, February.
    7. 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).
    8. Christian Matthes & Felipe Schwartzman, 2019. "The Demand Origins of Business Cycles," 2019 Meeting Papers 1122, Society for Economic Dynamics.
    9. Ameyaw, Emmanuel, 2024. "Business cycles in a cocoa and gold economy: Commodity price shocks do not always matter," Resources Policy, Elsevier, vol. 91(C).
    10. Sunoong Hwang & Yongsung Chang, 2011. "Asymmetric Phase Shifts in U.S. Industrial Production Cycles," 2011 Meeting Papers 31, Society for Economic Dynamics.
    11. Filip Rozsypal, 2015. "Schumpeterian business cycles," 2015 Meeting Papers 320, Society for Economic Dynamics.
    12. Hötte, Kerstin, 2023. "Demand-pull, technology-push, and the direction of technological change," Research Policy, Elsevier, vol. 52(5).
    13. Olivier Cardi & Romain Restout, 2023. "Why Hours Worked Decline Less after Technology Shocks?Â," Working Papers 396800288, Lancaster University Management School, Economics Department.
    14. Luisito Bertinelli & Olivier Cardi & Romain Restout, 2021. "Labor Market Effects of Technology Shocks Biased toward the Traded Sector," Working Papers 342990229, Lancaster University Management School, Economics Department.
    15. Swapnil Singh & Roel Beetsma, 2018. "Optimal Monetary Policy Under Sectoral Interconnections," De Economist, Springer, vol. 166(3), pages 309-336, September.
    16. 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.
    17. Alpo WILLMAN & Cristiano CANTORE & Miguel LEON-LEDESMA & Peter MCADAM, 2010. "Shocking Stuff: Technology, Hours, and Factor Substitution," EcoMod2010 259600172, EcoMod.
    18. 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.
    19. Grazzini, Jakob & Spelta, Alessandro, 2022. "An empirical analysis of the global input–output network and its evolution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 594(C).
    20. 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).
    21. 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.
    22. Peng, Ling & Hong, Yongmiao, 2013. "Productivity spillovers among linked sectors," China Economic Review, Elsevier, vol. 25(C), pages 44-61.
    23. Vasco M. Carvalho, 2014. "From Micro to Macro via Production Networks," Working Papers 793, Barcelona School of Economics.
    24. 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.
    25. Goto, Eiji, 2023. "Industry effects of unconventional monetary policy, within and across countries," Journal of International Money and Finance, Elsevier, vol. 136(C).
    26. Dragomirescu-Gaina, Catalin & Elia, Leandro, 2021. "Technology shocks and sectoral labour market spill-overs," Economics Letters, Elsevier, vol. 201(C).
    27. 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.
    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. 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.
    30. Zuzana Molnarova, 2020. "Industry evidence and the vanishing cyclicality of labor productivity," Vienna Economics Papers vie2001, University of Vienna, Department of Economics.
    31. 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.
    32. 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.
    33. Eiji Goto, 2020. "Industry Impacts of Unconventional Monetary Policy," 2020 Papers pgo873, Job Market Papers.
    34. 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.

  32. 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.

  33. 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. 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.
  2. 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.
  3. 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).

  4. 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. 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.
    2. Jo~ao Nicolau & Paulo M. M. Rodrigues, 2024. "A simple but powerful tail index regression," Papers 2409.13531, arXiv.org.
    3. 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.
    4. Bayaa, Yasmeen & Qadan, Mahmoud, 2024. "The shape of the Treasury yield curve and commodity prices," International Review of Financial Analysis, Elsevier, vol. 94(C).
    5. 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).
    6. 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).
    7. Anthony Garratt & Timo Henckel & Shaun P. Vahey, 2019. "Empirically-transformed linear opinion pools," CAMA Working Papers 2019-47, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    8. 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.

  5. 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.
  6. 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.
  7. 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.
  8. 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. 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).
    5. Zakipour-Saber, Shayan, 2019. "State-dependent Monetary Policy Regimes," Research Technical Papers 4/RT/19, Central Bank of Ireland.
    6. 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.

  9. 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.
  10. 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.
  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.

    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. Marco Guerzoni & Luigi Riso & Marco Vivarelli, 2023. "Was Robert Gibrat right? A test based on the graphical model methodology," DISCE - Quaderni del Dipartimento di Politica Economica dipe0031, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    6. Polemis, Michael, 2018. "Personality traits as an engine of knowledge: A quantile regression approach," MPRA Paper 88614, University Library of Munich, Germany.
    7. 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.
    8. 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.
    9. 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).
    10. 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.
    11. 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.
    12. 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.
    13. Polemis, Michael, 2024. "Are Cartels Forever? Global Evidence Using Quantile Regression Analysis," MPRA Paper 120534, University Library of Munich, Germany.
    14. 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.
    15. 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.
    16. 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.
    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.

  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. 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.
  18. 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.
  19. 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.
  20. 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.

  21. 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.
  22. 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. 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.
    2. Di Pace, Federico & Hertweck, Matthias S., 2012. "Labour Market Frictions, Monetary Policy and Durable Goods," Dynare Working Papers 20, CEPREMAP.
    3. Swapnil Singh & Roel Beetsma, 2018. "Optimal Monetary Policy Under Sectoral Interconnections," De Economist, Springer, vol. 166(3), pages 309-336, September.
    4. 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.
    5. Alex Nikolsko-Rzhevskyy & Oleksandr Talavera & Nam Vu, 2020. "The Flood that Caused a Drought," Discussion Papers 20-14, Department of Economics, University of Birmingham.
    6. Ida, Daisuke, 2020. "Sectoral inflation persistence and optimal monetary policy," Journal of Macroeconomics, Elsevier, vol. 65(C).
    7. Xia, Tian, 2020. "The role of intermediate goods in international monetary cooperation," Journal of International Money and Finance, Elsevier, vol. 100(C).
    8. Ivan PETRELLA & Emiliano SANTORO, 2011. "Inflation dynamics and real marginal costs: new evidence from U.S. manufacturing industries," Working Papers of Department of Economics, Leuven ces11.38, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
    9. Liutang Gong & Chan Wang & Heng-fu Zou, 2016. "Optimal monetary policy with international trade in intermediate inputs," CEMA Working Papers 604, China Economics and Management Academy, Central University of Finance and Economics.
    10. 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.
    11. Alessandro Cantelmo & Giovanni Melina, 2015. "Monetary Policy and the Relative Price of Durable Goods," CESifo Working Paper Series 5328, CESifo.
    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.
    13. Singh, Aarti & Di Crestvolant, Stefano Tornielli, 2020. "Transmission Of Monetary Policy Shocks: Do Input–Output Interactions Matter?," Macroeconomic Dynamics, Cambridge University Press, vol. 24(8), pages 1881-1903, December.
    14. Iyer, Tara, 2020. "The welfare implications of exchange rate choices in developing agricultural economies," Journal of Macroeconomics, Elsevier, vol. 66(C).

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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