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Laurent Ferrara

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. Ferrara, L. & Marsilli, C. & Ortega, J-P., 2013. "Forecasting growth during the Great Recession: is financial volatility the missing ingredient?," Working papers 454, Banque de France.

    Mentioned in:

    1. Guest Contribution: “Nowcasting Global GDP Growth”
      by Menzie Chinn in Econbrowser on 2015-03-12 09:56:18
  2. Karim Barhoumi & Olivier Darné & Laurent Ferrara, 2014. "Dynamic factor models: A review of the literature," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2013(2), pages 73-107.

    Mentioned in:

    1. Guest Contribution: “Nowcasting Global GDP Growth”
      by Menzie Chinn in Econbrowser on 2015-03-12 09:56:18
  3. L. Ferrara & C. Marsilli, 2014. "Nowcasting global economic growth: A factor-augmented mixed-frequency approach," Working papers 515, Banque de France.

    Mentioned in:

    1. Guest Contribution: “Nowcasting Global GDP Growth”
      by Menzie Chinn in Econbrowser on 2015-03-12 09:56:18
  4. Laurent Ferrara & Pierre Guérin, 2015. "What Are The Macroeconomic Effects of High-Frequency Uncertainty Shocks?," EconomiX Working Papers 2015-12, University of Paris Nanterre, EconomiX.

    Mentioned in:

    1. Guest Contribution: “Macroeconomic Effects of High-Frequency Uncertainty Shocks”
      by Menzie Chinn in Econbrowser on 2015-06-30 12:30:51
  5. Author Profile
    1. Guest Contribution: “Nowcasting Global GDP Growth”
      by Menzie Chinn in Econbrowser on 2015-03-12 09:56:18
    2. Guest Contribution: “Macroeconomic Effects of High-Frequency Uncertainty Shocks”
      by Menzie Chinn in Econbrowser on 2015-06-30 12:30:51
    3. Guest Contribution: “Where is global economic growth heading?”
      by Menzie Chinn in Econbrowser on 2016-05-03 20:54:19

Working papers

  1. Laurent Ferrara & Aikaterini Karadimitropoulou & Athanasios Triantafyllou, 2022. "Commodity price uncertainty comovement: Does it matter for global economic growth?," CAMA Working Papers 2022-08, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.

    Cited by:

    1. Sanusi, Olajide I. & Safi, Samir K. & Adeeko, Omotara & Tabash, Mosab I., 2022. "Forecasting agricultural commodity price using different models: a case study of widely consumed grains in Nigeria," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 8(2), June.
    2. Laurent Ferrara & Aikaterina Karadimitropoulou & Athanasios Triantafyllou & Theodora Bermpei, 2022. "Commodity currencies revisited: The role of global commodity price uncertainty," Working Papers hal-04159791, HAL.
    3. Giovanni Caggiano & Efrem Castelnuovo, 2023. "Global financial uncertainty," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(3), pages 432-449, April.
    4. Theodora Bermpei & Aikaterini Karadimitropoulou & Athanasios Triantafyllou & Jebreel Alshalahi, 2023. "Does commodity price uncertainty matter for the cost of credit? Evidence from developing and advanced economies," Post-Print hal-04129400, HAL.
    5. Xia, Tian & Zhou, Hang, 2023. "Commodity terms of trade co-movement: Global and regional factors," Journal of International Money and Finance, Elsevier, vol. 139(C).

  2. Antonin Aviat & Frédérique Bec & Claude Diebolt & Catherine Doz & Denis Ferrand & Laurent Ferrara & Eric Heyer & Valérie Mignon & Pierre-Alain Pionnier, 2021. "Dating business cycles in France: A reference chronology," Working Papers 08-21, Association Française de Cliométrie (AFC).

    Cited by:

    1. Marco Hoeberichts & Jan Willem van den End, 2024. "Detecting turning points in the inflation cycle," Working Papers 808, DNB.
    2. Kurt, Ozan Ekin, 2022. "Effects of interest rates on functional income distribution, capacity utilization, capital accumulation and profit rates in France: A post-Kaleckian econometric analysis," EconStor Preprints 251003, ZBW - Leibniz Information Centre for Economics.

  3. Candelon, Bertrand & Ferrara, Laurent & Joëts, Marc, 2021. "Global financial interconnectedness: a non-linear assessment of the uncertainty channel," LIDAM Reprints LFIN 2021003, Université catholique de Louvain, Louvain Finance (LFIN).

    Cited by:

    1. Cipollini, Andrea & Mikaliunaite, Ieva, 2020. "Macro-uncertainty and financial stress spillovers in the Eurozone," Economic Modelling, Elsevier, vol. 89(C), pages 546-558.
    2. Gian Paolo Clemente & Rosanna Grassi & Chiara Pederzoli, 2020. "Networks and market-based measures of systemic risk: the European banking system in the aftermath of the financial crisis," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 159-181, January.
    3. Francisco Serranito & Nicolas Himounet & Julien Vauday, 2023. "Uncertainty is bad for Business. Really?," Working Papers hal-04219283, HAL.
    4. Arreola Hernandez, Jose & Kang, Sang Hoon & Shahzad, Syed Jawad Hussain & Yoon, Seong-Min, 2020. "Spillovers and diversification potential of bank equity returns from developed and emerging America," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    5. Ji, Qiang & Bouri, Elie & Lau, Chi Keung Marco & Roubaud, David, 2019. "Dynamic connectedness and integration in cryptocurrency markets," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 257-272.
    6. Jose Arreola Hernandez & Sang Hoon Kang & Seong‐Min Yoon, 2022. "Interdependence and portfolio optimisation of bank equity returns from developed and emerging Europe," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 678-696, January.
    7. Hu, Yitong & Shen, Dehua & Urquhart, Andrew, 2023. "Attention allocation and cryptocurrency return co-movement: Evidence from the stock market," International Review of Economics & Finance, Elsevier, vol. 88(C), pages 1173-1185.
    8. Daisuke Ikeda & Mayumi Ojima & Koji Takahashi, 2019. "Financial Interconnectedness, Amplification, and Cross-Border Activity," Bank of Japan Working Paper Series 19-E-11, Bank of Japan.
    9. Nicolas Himounet, 2021. "Searching for the Nature of Uncertainty: Macroeconomic VS Financial," Working Papers 2021.05, International Network for Economic Research - INFER.
    10. Tihana Škrinjarić, 2022. "Higher Moments Actually Matter: Spillover Approach for Case of CESEE Stock Markets," Mathematics, MDPI, vol. 10(24), pages 1-34, December.
    11. Liu, Zhenhua & Zhang, Huiying & Ding, Zhihua & Lv, Tao & Wang, Xu & Wang, Deqing, 2022. "When are the effects of economic policy uncertainty on oil–stock correlations larger? Evidence from a regime-switching analysis," Economic Modelling, Elsevier, vol. 114(C).
    12. Jose Arreola Hernandez & Sang Hoon Kang & Ron P. McIver & Seong-Min Yoon, 2021. "Network Interdependence and Optimization of Bank Portfolios from Developed and Emerging Asia Pacific Countries," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 28(4), pages 613-647, December.
    13. Ogbuabor, Jonathan E. & Anthony-Orji, Onyinye I. & Manasseh, Charles O. & Orji, Anthony, 2020. "Measuring the dynamics of COMESA output connectedness with the global economy," The Journal of Economic Asymmetries, Elsevier, vol. 21(C).

  4. Laurent Ferrara & Luca Metelli & Filippo Natoli & Daniele Siena, 2021. "Questioning the puzzle: fiscal policy, real exchange rate and inflation," CAMA Working Papers 2021-38, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.

    Cited by:

    1. Choi, Sangyup & Shin, Junhyeok & Yoo, Seung Yong, 2022. "Are government spending shocks inflationary at the zero lower bound? New evidence from daily data," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    2. Marie-Pierre Hory & Grégory Levieuge & Daria Onori, 2023. "The fiscal multiplier when debt is denominated in foreign currency," Post-Print hal-04355530, HAL.
    3. Victor Pontines & Davaajargal Luvsannyam, 2023. "External Commodity Shocks and the Insulating Role of Fiscal Policy on Real Output: Evidence from a Commodity-Exporting Economy," CAMA Working Papers 2023-57, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    4. Benjamin Born & Francesco D’Ascanio & Gernot J. Müller & Johannes Pfeifer, 2021. "Mr. Keynes Meets the Classics: Government Spending and the Real Exchange Rate," ifo Working Paper Series 352, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    5. Olumide O. Olaoye & O. J. Omokanmi & Mosab I. Tabash & S. O. Olofinlade & M. O. Ojelade, 2024. "Soaring inflation in sub-Saharan Africa: A fiscal root?," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(1), pages 987-1009, February.
    6. Julie Ann Q. Basconcillo, 2023. "A nexus between fiscal policy and inflation: a case study of Indonesia using SVAR model," Public Sector Economics, Institute of Public Finance, vol. 47(4), pages 477-503.
    7. Chang Liu & Yinxi Xie, 2023. "Understanding Inflation Dynamics: The Role of Government Expenditures," Staff Working Papers 23-30, Bank of Canada.
    8. Albina Latifi & Viktoriia Naboka-Krell & Peter Tillmann & Peter Winker, 2023. "Fiscal Policy in the Bundestag: Textual Analysis and Macroeconomic Effects," MAGKS Papers on Economics 202307, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    9. Cardi, Olivier & Restout, Romain, 2023. "Sectoral fiscal multipliers and technology in open economy," Journal of International Economics, Elsevier, vol. 144(C).
    10. Jørgensen, Peter L. & Ravn, Søren H., 2022. "The inflation response to government spending shocks: A fiscal price puzzle?," European Economic Review, Elsevier, vol. 141(C).
    11. Hyungsuk Lee & Junsang Lee, 2024. "Accounting for the Effects of Fiscal Policy Shocks on Exchange Rates through Markup Dynamics," Review, Federal Reserve Bank of St. Louis, vol. 106(2), pages 129-145, April.
    12. Prasada, Imade Yoga & Nugroho, Agus Dwi & Lakner, Zoltan, 2022. "Impact of the FLEGT license on Indonesian plywood competitiveness in the European Union," Forest Policy and Economics, Elsevier, vol. 144(C).
    13. Ramona Tiganasu & Gabriela Carmen Pascariu & Dan Lupu, 2022. "Competitiveness, fiscal policy and corruption: evidence from Central and Eastern European countries," Oeconomia Copernicana, Institute of Economic Research, vol. 13(3), pages 667-698, September.
    14. Chaturvedi, Priya & Kumar, Kuldeep, 2022. "Econometric modelling of exchange rate volatility using mixed-frequency data," MPRA Paper 115222, University Library of Munich, Germany.
    15. Michael D. Bordo & Pierre Siklos, 2024. "The Importance of Sound Monetary Policy: Some Lessons for Today from Canada’s Experience with Floating Exchange Rates since 1950," Working Papers 320, Princeton University, Department of Economics, Center for Economic Policy Studies..

  5. Laurent Ferrara & Matteo Mogliani & Jean-Guillaume Sahuc, 2020. "High-frequency monitoring of growth-at-risk," CAMA Working Papers 2020-97, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.

    Cited by:

    1. Szendrei, Tibor & Varga, Katalin, 2023. "Revisiting vulnerable growth in the Euro Area: Identifying the role of financial conditions in the distribution," Economics Letters, Elsevier, vol. 223(C).
    2. Xu, Qifa & Xu, Mengnan & Jiang, Cuixia & Fu, Weizhong, 2023. "Mixed-frequency Growth-at-Risk with the MIDAS-QR method: Evidence from China," Economic Systems, Elsevier, vol. 47(4).
    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. Eraslan, Sercan & Reif, Magnus, 2023. "A latent weekly GDP indicator for Germany," Technical Papers 08/2023, Deutsche Bundesbank.
    6. Zheng, Tingguo & Gong, Lu & Ye, Shiqi, 2023. "Global energy market connectedness and inflation at risk," Energy Economics, Elsevier, vol. 126(C).
    7. 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).
    8. Philippe Goulet Coulombe & Karin Klieber & Christophe Barrette & Maximilian Goebel, 2024. "Maximally Forward-Looking Core Inflation," Papers 2404.05209, arXiv.org.
    9. 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).
    10. James Mitchell & Aubrey Poon & Dan Zhu, 2022. "Constructing Density Forecasts from Quantile Regressions: Multimodality in Macro-Financial Dynamics," Working Papers 22-12R, Federal Reserve Bank of Cleveland, revised 11 Apr 2023.
    11. Matteo Iacopini & Francesco Ravazzolo & Luca Rossini, 2022. "Bayesian Multivariate Quantile Regression with alternative Time-varying Volatility Specifications," Papers 2211.16121, arXiv.org.
    12. Sokol, Andrej, 2021. "Fan charts 2.0: flexible forecast distributions with expert judgement," Working Paper Series 2624, European Central Bank.
    13. Lhuissier Stéphane, 2022. "Financial Conditions and Macroeconomic Downside Risks in the Euro Area," Working papers 863, Banque de France.
    14. Gloria Gonzalez-Rivera & Vladimir Rodriguez-Caballero & Esther Ruiz, 2021. "Expecting the unexpected: economic growth under stress," Working Papers 202106, University of California at Riverside, Department of Economics.
    15. Marian Vavra, 2023. "Bias-Correction in Time Series Quantile Regression Models," Working and Discussion Papers WP 3/2023, Research Department, National Bank of Slovakia.
    16. Todd E. Clark & Florian Huber & Gary Koop & Massimiliano Marcellino & Michael Pfarrhofer, 2023. "Tail Forecasting With Multivariate Bayesian Additive Regression Trees," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 64(3), pages 979-1022, August.
    17. Barbaglia, Luca & Frattarolo, Lorenzo & Onorante, Luca & Pericoli, Filippo Maria & Ratto, Marco & Tiozzo Pezzoli, Luca, 2022. "Testing big data in a big crisis: Nowcasting under COVID-19," Working Papers 2022-06, Joint Research Centre, European Commission.
    18. 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.
    19. Katalin Varga & Tibor Szendrei, 2024. "Non-stationary Financial Risk Factors and Macroeconomic Vulnerability for the UK," Papers 2404.01451, arXiv.org.
    20. Afunts, Geghetsik & Cato, Misina & Schmidt, Tobias, 2023. "Inflation expectations in the wake of the war in Ukraine," Discussion Papers 03/2023, Deutsche Bundesbank.
    21. Lang, Jan Hannes & Rusnák, Marek & Greiwe, Moritz, 2023. "Medium-term growth-at-risk in the euro area," Working Paper Series 2808, European Central Bank.
    22. Kohns, David & Potjagailo, Galina, 2023. "Flexible Bayesian MIDAS: time‑variation, group‑shrinkage and sparsity," Bank of England working papers 1025, Bank of England.

  6. Catherine Doz & Laurent Ferrara & Pierre-Alain Pionnier, 2020. "Business cycle dynamics after the Great Recession: An Extended Markov-Switching Dynamic Factor Model," PSE Working Papers halshs-02443364, HAL.

    Cited by:

    1. 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).
    2. van Os, Bram & van Dijk, Dick, 2024. "Accelerating peak dating in a dynamic factor Markov-switching model," International Journal of Forecasting, Elsevier, vol. 40(1), pages 313-323.
    3. M. Casares & H. Khan & Jean-Christophe Poutineau, 2020. "The extensive margin and US aggregate fluctuations: A quantitative assessment," Post-Print hal-03004552, HAL.
    4. Bram van Os & Dick van Dijk, 2020. "Accelerating Peak Dating in a Dynamic Factor Markov-Switching Model," Tinbergen Institute Discussion Papers 20-057/VI, Tinbergen Institute, revised 14 Dec 2020.
    5. Ohikhuare, Obaika M., 2023. "How geopolitical risk drives spillover interconnectedness between crude oil and exchange rate markets: Evidence from the Russia-Ukraine war," Resources Policy, Elsevier, vol. 86(PB).
    6. Paul Labonne, 2020. "Asymmetric uncertainty : Nowcasting using skewness in real-time data," Papers 2012.02601, arXiv.org, revised May 2024.
    7. Tihana Skrinjaric, 2023. "Leading indicators of financial stress in Croatia: a regime switching approach," Public Sector Economics, Institute of Public Finance, vol. 47(2), pages 205-232.

  7. Laurent Ferrara & Anna Simoni, 2020. "When are Google data useful to nowcast GDP? An approach via pre-selection and shrinkage," Papers 2007.00273, arXiv.org, revised Sep 2022.

    Cited by:

    1. Aaronson, Daniel & Brave, Scott A. & Butters, R. Andrew & Fogarty, Michael & Sacks, Daniel W. & Seo, Boyoung, 2022. "Forecasting unemployment insurance claims in realtime with Google Trends," International Journal of Forecasting, Elsevier, vol. 38(2), pages 567-581.
    2. Andrea Carriero & Todd E. Clark & Marcellino Massimiliano, 2020. "Nowcasting Tail Risks to Economic Activity with Many Indicators," Working Papers 20-13R2, Federal Reserve Bank of Cleveland, revised 22 Sep 2020.
    3. Caroline Jardet & Baptiste Meunier, 2022. "Nowcasting world GDP growth with high‐frequency data," Post-Print hal-03647097, HAL.
    4. Matteo Mogliani & Anna Simoni, 2024. "Bayesian Bi-level Sparse Group Regressions for Macroeconomic Forecasting," Papers 2404.02671, arXiv.org.
    5. Danilo Cascaldi-Garcia & Matteo Luciani & Michele Modugno, 2023. "Lessons from Nowcasting GDP across the World," International Finance Discussion Papers 1385, Board of Governors of the Federal Reserve System (U.S.).
    6. Marcellino, Massimiliano & Clark, Todd & Carriero, Andrea, 2021. "Nowcasting Tail Risk to Economic Activity at a Weekly Frequency," CEPR Discussion Papers 16496, C.E.P.R. Discussion Papers.
    7. Bantis, Evripidis & Clements, Michael P. & Urquhart, Andrew, 2023. "Forecasting GDP growth rates in the United States and Brazil using Google Trends," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1909-1924.
    8. Takashi Nakazawa, 2022. "Constructing GDP Nowcasting Models Using Alternative Data," Bank of Japan Working Paper Series 22-E-9, Bank of Japan.
    9. VAN DER WIELEN Wouter & BARRIOS Salvador, 2020. "Fear and Employment During the COVID Pandemic: Evidence from Search Behaviour in the EU," JRC Working Papers on Taxation & Structural Reforms 2020-08, Joint Research Centre.
    10. 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.
    11. Larson, William D. & Sinclair, Tara M., 2022. "Nowcasting unemployment insurance claims in the time of COVID-19," International Journal of Forecasting, Elsevier, vol. 38(2), pages 635-647.
    12. David Kohns & Arnab Bhattacharjee, 2019. "Interpreting Big Data in the Macro Economy: A Bayesian Mixed Frequency Estimator," CEERP Working Paper Series 010, Centre for Energy Economics Research and Policy, Heriot-Watt University.
    13. Marcelo C. Medeiros & Henrique F. Pires, 2021. "The Proper Use of Google Trends in Forecasting Models," Papers 2104.03065, arXiv.org, revised Apr 2021.
    14. Vera Z. Eichenauer & Ronald Indergand & Isabel Z. Martínez & Christoph Sax, 2022. "Obtaining consistent time series from Google Trends," Economic Inquiry, Western Economic Association International, vol. 60(2), pages 694-705, April.
    15. Andrii Babii & Eric Ghysels & Jonas Striaukas, 2023. "Econometrics of Machine Learning Methods in Economic Forecasting," Papers 2308.10993, arXiv.org.
    16. Jad Beyhum & Jonas Striaukas, 2023. "Sparse plus dense MIDAS regressions and nowcasting during the COVID pandemic," Papers 2306.13362, arXiv.org, revised Dec 2023.
    17. Valentin BURCA, 2020. "Earnings Quality Versus Accounting Regulation. Empirical Assesment On Accuracy Of Macroeconomic Estimates," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 14(1), pages 72-87, November.
    18. 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.
    19. Barbaglia, Luca & Frattarolo, Lorenzo & Onorante, Luca & Pericoli, Filippo Maria & Ratto, Marco & Tiozzo Pezzoli, Luca, 2022. "Testing big data in a big crisis: Nowcasting under COVID-19," Working Papers 2022-06, Joint Research Centre, European Commission.
    20. Maria Elena Bontempi & Michele Frigeri & Roberto Golinelli & Matteo Squadrani, 2021. "EURQ: A New Web Search‐based Uncertainty Index," Economica, London School of Economics and Political Science, vol. 88(352), pages 969-1015, October.
    21. Michael Anthonisz, 2023. "Nowcasting Key Australian Macroeconomic Variables," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 56(3), pages 371-380, September.
    22. Dan Anderberg & Helmut Rainer & Fabian Siuda, 2022. "Quantifying domestic violence in times of crisis: An internet search activity‐based measure for the COVID‐19 pandemic," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(2), pages 498-518, April.
    23. Tea Livaic & Ana Perisic, 2019. "What can Google Tell us about Bitcoin Trading Volume in Croatia? Evidence from the Online Marketplace Localbitcoins," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 17(4), pages 707-715.
    24. Nicolas Woloszko, 2020. "Tracking activity in real time with Google Trends," OECD Economics Department Working Papers 1634, OECD Publishing.
    25. Emilio Blanco & Fiorella Dogliolo & Lorena Garegnani, 2022. "Nowcasting during the Pandemic: Lessons from Argentina," BCRA Working Paper Series 202299, Central Bank of Argentina, Economic Research Department.

  8. Laurent Ferrara & Luca Metelli & Filippo Natoli & Daniele Siena, 2020. "Questioning the puzzle: Fiscal policy, exchange rate and inflation," Working papers 752, Banque de France.

    Cited by:

    1. Badarau, Cristina & Huart, Florence & Sangaré, Ibrahima, 2021. "Macroeconomic and policy implications of eurobonds," International Review of Law and Economics, Elsevier, vol. 65(C).
    2. Benjamin Born & Francesco D’Ascanio & Gernot J. Müller & Johannes Pfeifer, 2021. "Mr. Keynes Meets the Classics: Government Spending and the Real Exchange Rate," ifo Working Paper Series 352, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.

  9. Laurent Ferrara & Daniela Marconi & Ignacio Hernando, 2018. "International Macroeconomics in the wake of the Global Financial Crisis," Post-Print hal-02334589, HAL.

    Cited by:

    1. Kose, M. Ayhan & Ha, Jongrim & Ohnsorge, Franziska, 2021. "One-Stop Source: A Global Database of Inflation," CEPR Discussion Papers 16327, C.E.P.R. Discussion Papers.
    2. Eller, Markus & Hauzenberger, Niko & Huber, Florian & Schuberth, Helene & Vashold, Lukas, 2021. "The impact of macroprudential policies on capital flows in CESEE," Journal of International Money and Finance, Elsevier, vol. 119(C).
    3. Stefan Avdjiev & Leonardo Gambacorta & Linda Goldberg & Stefano Schiaffi, 2017. "The shifting drivers of global liquidity," BIS Working Papers 644, Bank for International Settlements.
    4. Muhammad Aftab & Rubi Ahmad & Izlin Ismail & Kate Phylaktis, 2021. "Economic integration and the currency and equity markets nexus," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 5278-5301, October.
    5. Michael Ryan, 2020. "An Anchor in Stormy Seas: Does Reforming Economic Institutions Reduce Uncertainty? Evidence from New Zealand," Working Papers in Economics 20/11, University of Waikato.
    6. Sophie Haincourt, 2018. "The Nature of the Shock Matters: NiGEM Estimations of the Macroeconomic Effects of Recent Dollar and Euro Fluctuations," National Institute Economic Review, National Institute of Economic and Social Research, vol. 244(1), pages 30-38, May.
    7. Eller, Markus & Huber, Florian & Schuberth, Helene, 2018. "How Important are Global Factors for Understanding the Dynamics of International Capital Flows?," Working Papers in Economics 2018-2, University of Salzburg.
    8. Jaime Marquez, 2023. "Stylized Facts of the FOMC’s Longer-Run Forecasts," JRFM, MDPI, vol. 16(3), pages 1-20, February.
    9. Stefano Di Bucchianico, 2021. "Negative Interest Rate Policy to Fight Secular Stagnation: Unfeasible, Ineffective, Irrelevant, or Inadequate?," Review of Political Economy, Taylor & Francis Journals, vol. 33(4), pages 687-710, October.
    10. Peter A.G. van Bergeijk, 2019. "Deglobalization 2.0," Books, Edward Elgar Publishing, number 18560, December.
    11. Mészáros Mercédesz & Kiss Gábor Dávid, 2020. "Spillover effects of unconventional monetary policy on capital markets in the shadow of the Eurozone: A sample of non-Eurozone countries," Review of Economic Perspectives, Sciendo, vol. 20(2), pages 171-195, June.

  10. Matthieu Bussiere & Menzie D. Chinn & Laurent Ferrara & Jonas Heipertz, 2018. "The New Fama Puzzle," NBER Working Papers 24342, National Bureau of Economic Research, Inc.
    • Matthieu Bussière & Menzie Chinn & Laurent Ferrara & Jonas Heipertz, 2022. "The New Fama Puzzle," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 70(3), pages 451-486, September.

    Cited by:

    1. Ramirez-Rondan, N.R. & Terrones, Marco E., 2019. "Uncertainty and the Uncovered Interest Parity Condition: How Are They Related?," MPRA Paper 97524, University Library of Munich, Germany.
    2. Lloyd, Simon & Marin, Emile, 2020. "Exchange rate risk and business cycles," Bank of England working papers 872, Bank of England.
    3. Wang, Wenhao & Lin, Zhitao & Hu, Bing, 2023. "Macro news effects on exchange rates: Difference between carry trade target and safe-haven currencies," Finance Research Letters, Elsevier, vol. 53(C).
    4. Sebnem Kalemli-Ozcan & Liliana Varela, 2019. "Exchange Rate and Interest Rate Disconnect: The Role of Capital Flows, Currency Risk and Default Risk," 2019 Meeting Papers 351, Society for Economic Dynamics.
    5. Engel, Charles & Kazakova, Ekaterina & Wang, Mengqi & Xiang, Nan, 2021. "A Reconsideration of the Failure of Uncovered Interest Parity for the U.S. Dollar," CEPR Discussion Papers 15872, C.E.P.R. Discussion Papers.
    6. Bacchetta, Philippe & van Wincoop, Eric, 2021. "Puzzling exchange rate dynamics and delayed portfolio adjustment," Journal of International Economics, Elsevier, vol. 131(C).
    7. Engel, Charles & Lee, Dohyeon & Liu, Chang & Liu, Chenxin & Wu, Steve Pak Yeung, 2019. "The uncovered interest parity puzzle, exchange rate forecasting, and Taylor rules," Journal of International Money and Finance, Elsevier, vol. 95(C), pages 317-331.
    8. Craig Burnside & Mario Cerrato & Zhekai Zhang, 2020. "Foreign Exchange Order Flow as a Risk Factor," NBER Working Papers 27199, National Bureau of Economic Research, Inc.
    9. Charles Engel & Steve Pak Yeung Wu, 2021. "Forecasting the U.S. Dollar in the 21st Century," NBER Working Papers 28447, National Bureau of Economic Research, Inc.
    10. Laurent Ferrara & Joseph Yapi, 2020. "Measuring exchange rate risks during periods of uncertainty," CAMA Working Papers 2020-60, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    11. Giancarlo Corsetti & Emile A. Marin, 2020. "A century of arbitrage and disaster risk pricing in the foreign exchange market," Discussion Papers 2018, Centre for Macroeconomics (CFM).
    12. Dąbrowski, Marek A. & Janus, Jakub, 2021. "Does the interest parity puzzle hold for Central and Eastern European economies?," MPRA Paper 107558, University Library of Munich, Germany.
    13. Kumar, Satish, 2019. "Does risk premium help uncover the uncovered interest parity failure?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 63(C).

  11. Laurent Ferrara & Menzie Chinn & Raffaella Giacomini, 2018. "Impact of uncertainty shocks on the global economy," Post-Print hal-01635944, HAL.

    Cited by:

    1. Lastauskas, Povilas & Nguyen, Anh Dinh Minh, 2021. "Global impacts of US monetary policy uncertainty shocks," Working Paper Series 2513, European Central Bank.
    2. Laurent Ferrara & Stéphane Lhuissier & Fabien Tripier, 2017. "Uncertainty Fluctuations: Measures, Effects and Macroeconomic Policy Challenges," CEPII Policy Brief 2017-20, CEPII research center.
    3. Marcelo Bianconi & Federico Esposito & Marco Sammon, 2019. "Trade Policy Uncertainty and Stock Returns," Discussion Papers Series, Department of Economics, Tufts University 0830, Department of Economics, Tufts University.
    4. Hammoudeh, Shawkat & Uddin, Gazi Salah & Sousa, Ricardo M. & Wadström, Christoffer & Sharmi, Rubaiya Zaman, 2022. "Do pandemic, trade policy and world uncertainties affect oil price returns?," Resources Policy, Elsevier, vol. 77(C).
    5. Costantini, Mauro & Sousa, Ricardo M., 2022. "What uncertainty does to euro area sovereign bond markets: Flight to safety and flight to quality," Journal of International Money and Finance, Elsevier, vol. 122(C).
    6. Ömer YALÇINKAYA & Ali Kemal ÇELİK, 2021. "The Impact of Global Uncertainties on Economic Growth: Evidence from the US Economy (1996: Q1-2018: Q4)," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 35-54, June.

  12. Olivier Darné & Laurent Ferrara & Dominique Ladiray, 2018. "A Brief History of Seasonal Adjustment Methods and Software Tools," Post-Print hal-03754072, HAL.

    Cited by:

    1. Simone di Paolo & Danilo Liberati, 2024. "Seasonal adjustment of credit time series in the Bank of Italy," Questioni di Economia e Finanza (Occasional Papers) 835, Bank of Italy, Economic Research and International Relations Area.

  13. Laurent Ferrara & Stéphane Lhuissier & Fabien Tripier, 2017. "Uncertainty Fluctuations: Measures, Effects and Macroeconomic Policy Challenges," CEPII Policy Brief 2017-20, CEPII research center.

    Cited by:

    1. Canh Phuc Nguyen & Thanh Dinh Su, 2022. "When ‘uncertainty’ becomes ‘unknown’: Influences of economic uncertainty on the shadow economy," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 93(3), pages 677-716, September.
    2. Bertrand Candelon & Laurent Ferrara & Marc Joëts, 2016. "Global Financial Interconnectedness: A nonlinear Assessment of the Uncertainty Channel," Post-Print hal-01667074, HAL.
    3. Takeshi Shinohara & Tatsushi Okuda & Jouchi Nakajima, 2020. "Characteristics of Uncertainty Indices in the Macroeconomy," Bank of Japan Working Paper Series 20-E-6, Bank of Japan.
    4. Francisco Serranito & Nicolas Himounet & Julien Vauday, 2023. "Uncertainty is bad for Business. Really?," Working Papers hal-04219283, HAL.
    5. Costantini, Mauro & Sousa, Ricardo M., 2022. "What uncertainty does to euro area sovereign bond markets: Flight to safety and flight to quality," Journal of International Money and Finance, Elsevier, vol. 122(C).
    6. Michael Ryan, 2020. "An Anchor in Stormy Seas: Does Reforming Economic Institutions Reduce Uncertainty? Evidence from New Zealand," Working Papers in Economics 20/11, University of Waikato.
    7. Nicolas Himounet, 2021. "Searching for the Nature of Uncertainty: Macroeconomic VS Financial," Working Papers 2021.05, International Network for Economic Research - INFER.
    8. Fatemeh Salimi, 2020. "Exchange Rates, Stock Prices, and Stock Market Uncertainty," Working Papers halshs-03007904, HAL.
    9. Laurent Ferrara & Joseph Yapi, 2020. "Measuring exchange rate risks during periods of uncertainty," CAMA Working Papers 2020-60, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    10. Laurent FERRARA & Stéphane LHUISSIER & Fabien TRIPIER, 2018. "Uncertainty and macroeconomics: transmission channels and policy implications," Rue de la Banque, Banque de France, issue 61, April.
    11. Fatemeh Salimi Namin, 2020. "Exchange Rates, Stock Prices, and Stock Market Uncertainty," AMSE Working Papers 2037, Aix-Marseille School of Economics, France.
    12. Ömer YALÇINKAYA & Muhammet DAŞTAN, 2020. "Effects of Global Economic, Political and Geopolitical Uncertainties on the Turkish Economy: A SVAR Analysis," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 97-116, March.

  14. S. Delle Chiaie & L. Ferrara & D. Giannone, 2017. "Common Factors of Commodity Prices," Working papers 645, Banque de France.

    Cited by:

    1. Bajraj, Gent & Lorca, Jorge & Wlasiuk, Juan M., 2023. "On foreign drivers of emerging markets fluctuations," Economic Modelling, Elsevier, vol. 129(C).
    2. Chiara Casoli & Riccardo (Jack) Lucchetti, 2022. "Permanent-Transitory decomposition of cointegrated time series via dynamic factor models, with an application to commodity prices [Commodity-price comovement and global economic activity]," The Econometrics Journal, Royal Economic Society, vol. 25(2), pages 494-514.
    3. Lutz Kilian, 2019. "Facts and Fiction in Oil Market Modeling," CESifo Working Paper Series 7902, CESifo.
    4. Hilde C. Bjørnland & Julia Zhulanova, 2019. "The shale oil boom and the U.S. economy: Spillovers and time-varying effects," Working Paper 2019/14, Norges Bank.
    5. Christiane Baumeister & Pierre Guérin, 2020. "A Comparison of Monthly Global Indicators for Forecasting Growth," CESifo Working Paper Series 8656, CESifo.
    6. Vásquez Cordano, Arturo L. & Zellou, Abdel M., 2020. "Super cycles in natural gas prices and their impact on Latin American energy and environmental policies," Resources Policy, Elsevier, vol. 65(C).
    7. Ferreiro Javier Ojea, 2019. "Structural change in the link between oil and the European stock market: implications for risk management," Dependence Modeling, De Gruyter, vol. 7(1), pages 53-125, January.
    8. Christiane Baumeister & Dimitris Korobilis & Thomas K. Lee, 2022. "Energy Markets and Global Economic Conditions," The Review of Economics and Statistics, MIT Press, vol. 104(4), pages 828-844, October.
    9. Sun, Yiqun & Ji, Hao & Cai, Xiurong & Li, Jiangchen, 2023. "Joint extreme risk of energy prices-evidence from European energy markets," Finance Research Letters, Elsevier, vol. 56(C).
    10. Matsumoto, Akito & Pescatori, Andrea & Wang, Xueliang, 2023. "Commodity prices and global economic activity," Japan and the World Economy, Elsevier, vol. 66(C).
    11. Michał Rubaszek, 2019. "Forecasting crude oil prices with DSGE models," GRU Working Paper Series GRU_2019_024, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
    12. Diaz, Elena Maria & Pérez Quirós, Gabriel, 2020. "Daily tracker of global economic activity: a close-up of the COVID-19 pandemic," Working Paper Series 2505, European Central Bank.
    13. Allayioti, Anastasia & Venditti, Fabrizio, 2024. "The role of comovement and time-varying dynamics in forecasting commodity prices," Working Paper Series 2901, European Central Bank.
    14. Kilian, Lutz & Zhou, Xiaoqing, 2018. "Modeling fluctuations in the global demand for commodities," Journal of International Money and Finance, Elsevier, vol. 88(C), pages 54-78.
    15. Rodriguez, Diego & Gonzalez, Andres & Fernandez, Andres, 2015. "Sharing a Ride on the Commodities Roller Coaster: Common Factors in Business Cycles of Emerging Economies," IDB Publications (Working Papers) 7382, Inter-American Development Bank.
    16. Abiad, Abdul & Qureshi, Irfan A., 2023. "The macroeconomic effects of oil price uncertainty," Energy Economics, Elsevier, vol. 125(C).
    17. Vietha Devia SS, 2019. "Analysis of Crude Oil Price and Exchange Rate Volatility on Macroeconomic Variables (Case Study of Indonesia as Emerging Economic Country)," International Journal of Business and Administrative Studies, Professor Dr. Bahaudin G. Mujtaba, vol. 5(5), pages 257-271.
    18. 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.
    19. Kruse, Robinson & Wegener, Christoph, 2020. "Time-varying persistence in real oil prices and its determinant," Energy Economics, Elsevier, vol. 85(C).
    20. Lutz Kilian & Xiaoqing Zhou, 2020. "The Econometrics of Oil Market VAR Models," Working Papers 2006, Federal Reserve Bank of Dallas.
    21. Diaz, Elena Maria & Perez-Quiros, Gabriel, 2021. "GEA tracker: A daily indicator of global economic activity," Journal of International Money and Finance, Elsevier, vol. 115(C).
    22. 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.
    23. Florentina Paraschiv & Stine Marie Reese & Margrethe Ringkjøb Skjelstad, 2020. "Portfolio stress testing applied to commodity futures," Computational Management Science, Springer, vol. 17(2), pages 203-240, June.
    24. Jakub Rybacki & Tamara Bińczak & Filip Kaczmarek, 2018. "Is HICP really harmonized? Problems with quality adjustments and new products," Collegium of Economic Analysis Annals, Warsaw School of Economics, Collegium of Economic Analysis, issue 53, pages 97-116.
    25. Hasenzagl, Thomas & Pellegrino, Filippo & Reichlin, Lucrezia & Ricco, Giovanni, 2017. "A Model of the Fed’s View on Inflation," The Warwick Economics Research Paper Series (TWERPS) 1145, University of Warwick, Department of Economics.
    26. 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).
    27. Venditti, Fabrizio & Veronese, Giovanni, 2020. "Global financial markets and oil price shocks in real time," Working Paper Series 2472, European Central Bank.
    28. Delle Chiaie, S., 2015. "The fall in oil prices in 2014: the role of supply and demand components," Rue de la Banque, Banque de France, issue 12, October..
    29. Drachal, Krzysztof, 2019. "Forecasting prices of selected metals with Bayesian data-rich models," Resources Policy, Elsevier, vol. 64(C).
    30. Ahmed, Rashad, 2020. "Global Flight-to-Safety Shocks," MPRA Paper 103501, University Library of Munich, Germany.
    31. Doga Bilgin & Reinhard Ellwanger, 2017. "A Dynamic Factor Model for Commodity Prices," Staff Analytical Notes 17-12, Bank of Canada.
    32. Fernandez, Viviana & Pastén-Henríquez, Boris & Tapia-Griñen, Pablo & Wagner, Rodrigo, 2023. "Commodity prices under the threat of operational disruptions: Labor strikes at copper mines," Journal of Commodity Markets, Elsevier, vol. 32(C).
    33. Chiappini, Raphaël & Lahet, Delphine, 2020. "Exchange rate movements in emerging economies - Global vs regional factors in Asia," China Economic Review, Elsevier, vol. 60(C).
    34. Laurent Ferrara & Aikaterina Karadimitropoulou & Athanasios Triantafyllou & Theodora Bermpei, 2022. "Commodity currencies revisited: The role of global commodity price uncertainty," Working Papers hal-04159791, HAL.
    35. Schmidt, Torsten & Kirsch, Florian & Dirks, Maximilian W., 2021. "Kurzfristige Perspektiven der Rohstoffpreisentwicklung," RWI Projektberichte, RWI - Leibniz-Institut für Wirtschaftsforschung, number 251878.
    36. Fry-McKibbin, Renée & McKinnon, Kate, 2023. "The evolution of commodity market financialization: Implications for portfolio diversification," Journal of Commodity Markets, Elsevier, vol. 32(C).
    37. Indrė Lapinskaitė & Algita Miečinskienė, 2019. "Assessment of the Impact of Hard Commodity Prices Changes on Inflation in European Union Countries," Central European Business Review, Prague University of Economics and Business, vol. 2019(5), pages 18-35.
    38. Ahmed, Rashad, 2023. "Global commodity prices and macroeconomic fluctuations in a low interest rate environment," Energy Economics, Elsevier, vol. 127(PB).
    39. Qian, Chenqi & Zhang, Tianding & Li, Jie, 2023. "The impact of international commodity price shocks on macroeconomic fundamentals: Evidence from the US and China," Resources Policy, Elsevier, vol. 85(PB).
    40. 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.).
    41. Metallinos Pavlos, 2022. "Failure Case of Earned Value Method (EVM): The “Absurd” of the Use of Management & Contingency Reserves Budgeting," Baltic Journal of Real Estate Economics and Construction Management, Sciendo, vol. 10(1), pages 41-75, January.
    42. Rebeca Jiménez‐Rodríguez & Amalia Morales‐Zumaquero, 2020. "Impact of commodity prices on exchange rates in commodity‐exporting countries," The World Economy, Wiley Blackwell, vol. 43(7), pages 1868-1906, July.
    43. 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.
    44. Marcel Prokopczuk & Chardin Wese Simen & Robert Wichmann, 2021. "The dynamics of commodity return comovements," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(10), pages 1597-1617, October.
    45. Theodora Bermpei & Aikaterini Karadimitropoulou & Athanasios Triantafyllou & Jebreel Alshalahi, 2023. "Does commodity price uncertainty matter for the cost of credit? Evidence from developing and advanced economies," Post-Print hal-04129400, HAL.
    46. Hyeongwoo Kim & Jisoo Son, 2023. "Forecasting Net Charge-Off Rates of Large U.S. Bank Holding Companies using Macroeconomic Latent Factors," Auburn Economics Working Paper Series auwp2023-02, Department of Economics, Auburn University.
    47. Pilar Poncela & Eva Senra & Lya Paola Sierra, 2020. "Global vs Sectoral Factors and the Impact of the Financialization in Commodity Price Changes," Open Economies Review, Springer, vol. 31(4), pages 859-879, September.
    48. Nonejad, Nima, 2021. "The price of crude oil and (conditional) out-of-sample predictability of world industrial production," Journal of Commodity Markets, Elsevier, vol. 23(C).
    49. Rausser, Gordon & Stuermer, Martin, 2020. "A Dynamic Analysis of Collusive Action: The Case of the World Copper Market, 1882-2016," MPRA Paper 104708, University Library of Munich, Germany.
    50. 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).
    51. 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.
    52. Nam, Kyungsik, 2021. "Investigating the effect of climate uncertainty on global commodity markets," Energy Economics, Elsevier, vol. 96(C).
    53. Nguyen, BH & Zhang, Bo, 2022. "Forecasting oil Prices: can large BVARs help?," Working Papers 2022-04, University of Tasmania, Tasmanian School of Business and Economics.
    54. Dudda, Tom L. & Klein, Tony & Nguyen, Duc Khuong & Walther, Thomas, 2022. "Common Drivers of Commodity Futures?," QBS Working Paper Series 2022/05, Queen's University Belfast, Queen's Business School.
    55. Claudia Wellenreuther, 2021. "Konjunkturschlaglicht: Rohstoffpreise: Superzyklus oder Aufschwung? [Economic headline: Commodity prices: Supercycle or upswing?]," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, vol. 101(8), pages 663-664, August.
    56. Xia, Tian & Zhou, Hang, 2023. "Commodity terms of trade co-movement: Global and regional factors," Journal of International Money and Finance, Elsevier, vol. 139(C).
    57. Medina, Juan Pablo, 2021. "Mining development and macroeconomic spillovers in Chile," Resources Policy, Elsevier, vol. 70(C).
    58. Antoine A. Djogbenou, 2024. "Identifying oil price shocks with global, developed, and emerging latent real economy activity factors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(1), pages 128-149, January.

  15. M. Bussière & L. Ferrara & M. Juillard & D. Siena, 2017. "Can Fiscal Budget-Neutral Reforms Stimulate Growth? Model-Based Results," Working papers 625, Banque de France.

    Cited by:

    1. Wang, Shu-Ling, 2021. "Fiscal stimulus in a high-debt economy? A DSGE analysis," Economic Modelling, Elsevier, vol. 98(C), pages 118-135.
    2. Patrick Grüning & Ginters Buss, 2020. "Fiscal DSGE Model for Latvia," Bank of Lithuania Working Paper Series 81, Bank of Lithuania.
    3. Lorenzo Burlon & Alessandro Notarpietro & Massimiliano Pisani, 2019. "Fiscal devaluation and labour market frictions in a monetary union," Temi di discussione (Economic working papers) 1241, Bank of Italy, Economic Research and International Relations Area.
    4. Lemoine Matthieu & Lindé Jesper, 2021. "Fiscal Stimulus in Liquidity Traps: Conventional or Unconventional Policies?," Working papers 799, Banque de France.
    5. Luca Metelli & Filippo Natoli, 2019. "The international transmission of US tax shocks: a proxy-SVAR approach," Temi di discussione (Economic working papers) 1223, Bank of Italy, Economic Research and International Relations Area.
    6. Gábor P. Kiss, 2020. "Aggregate Fiscal Stabilisation Policy: Panacea or Scapegoat?," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), vol. 19(2), pages 55-87.
    7. Font, Barbara Castelletti & Clerc, Pierrick & Lemoine, Matthieu, 2018. "Should euro area countries cut taxes on labour or capital in order to boost their growth?," Economic Modelling, Elsevier, vol. 71(C), pages 279-288.
    8. Natoli, Filippo & Metelli, Luca, 2018. "The international transmission of US fiscal shocks," MPRA Paper 84207, University Library of Munich, Germany.
    9. Paul Cosmin Alin ENÃCHESCU, 2020. "Impact Of Fiscal Policy On The Economic Cycle In Romania," Scientific Bulletin - Economic Sciences, University of Pitesti, vol. 19(3), pages 169-176.

  16. Laurent Ferrara & Pierre Guérin, 2016. "What Are the Macroeconomic Effects of High-Frequency Uncertainty Shocks," Staff Working Papers 16-25, Bank of Canada.

    Cited by:

    1. Laurent Ferrara & Stéphane Lhuissier & Fabien Tripier, 2017. "Uncertainty Fluctuations: Measures, Effects and Macroeconomic Policy Challenges," CEPII Policy Brief 2017-20, CEPII research center.
    2. Giovanni Caggiano & Efrem Castelnuovo & Juan Manuel Figueres, 2018. "Economic Policy Uncertainty Spillovers in Booms and Busts," "Marco Fanno" Working Papers 0220, Dipartimento di Scienze Economiche "Marco Fanno".
    3. Piergiorgio Alessandri & Andrea Gazzani & Alejandro Vicondoa, 2021. "The Real Effects of Financial Uncertainty Shocks: A Daily Identification Approach," Documentos de Trabajo 559, Instituto de Economia. Pontificia Universidad Católica de Chile..
    4. Rodrigo Cerda & Álvaro Silva & José Tomás Valente, 2018. "Impact of economic uncertainty in a small open economy: the case of Chile," Applied Economics, Taylor & Francis Journals, vol. 50(26), pages 2894-2908, June.
    5. Martin Feldkircher & Florian Huber & Michael Pfarrhofer, 2021. "Measuring the effectiveness of US monetary policy during the COVID‐19 recession," Scottish Journal of Political Economy, Scottish Economic Society, vol. 68(3), pages 287-297, July.
    6. Racicot, François-Éric & Théoret, Raymond, 2019. "Hedge fund return higher moments over the business cycle," Economic Modelling, Elsevier, vol. 78(C), pages 73-97.
    7. Martin Enilov & Yuan Wang, 2022. "Tourism and economic growth: Multi-country evidence from mixed-frequency Granger causality tests," Tourism Economics, , vol. 28(5), pages 1216-1239, August.
    8. Matthieu Bussière & Laurent Ferrara & Juliana Milovich, 2017. "Explaining the recent slump in investment: the role of expected demand and uncertainty," Rue de la Banque, Banque de France, issue 44, may..
    9. Kyosuke Chikamatsu, Naohisa Hirakata, Yosuke Kido, Kazuki Otaka, 2018. "Nowcasting Japanese GDPs," Bank of Japan Working Paper Series 18-E-18, Bank of Japan.
    10. Gregoriou, Greg N. & Racicot, François-Éric & Théoret, Raymond, 2021. "The response of hedge fund tail risk to macroeconomic shocks: A nonlinear VAR approach," Economic Modelling, Elsevier, vol. 94(C), pages 843-872.
    11. Giovanni Caggiano & Efrem Castelnuovo & Gabriela Nodari, 2017. "Uncertainty and Monetary Policy in Good and Bad Times," RBA Research Discussion Papers rdp2017-06, Reserve Bank of Australia.
    12. Ferrara, L. & Istrefi, K., 2016. "Impact des chocs d’incertitude sur l’économie mondiale – Synthèse de conférence," Bulletin de la Banque de France, Banque de France, issue 206, pages 61-68.
    13. Christian Grimme, 2023. "Uncertainty and the Cost of Bank versus Bond Finance," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(1), pages 143-169, February.
    14. Stéphane Lhuissier & Fabien Tripier, 2016. "Do Uncertainty Shocks Always Matter for Business Cycles?," Working Papers 2016-19, CEPII research center.
    15. 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.
    16. Ömer YALÇINKAYA & Ali Kemal ÇELİK, 2021. "The Impact of Global Uncertainties on Economic Growth: Evidence from the US Economy (1996: Q1-2018: Q4)," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 35-54, June.
    17. Bacchiocchi, Emanuele & Bastianin, Andrea & Missale, Alessandro & Rossi, Eduardo, 2016. "Structural analysis with mixed frequencies: monetary policy, uncertainty and gross capital flows," Working Papers 2016-04, Joint Research Centre, European Commission.
    18. Andrea Cipollini & Ieva Mikaliunaite, 2021. "Financial distress and real economic activity in Lithuania: a Granger causality test based on mixed-frequency VAR," Empirical Economics, Springer, vol. 61(2), pages 855-881, August.
    19. Chikamatsu, Kyosuke & Hirakata, Naohisa & Kido, Yosuke & Otaka, Kazuki, 2021. "Mixed-frequency approaches to nowcasting GDP: An application to Japan," Japan and the World Economy, Elsevier, vol. 57(C).
    20. Giovanni Caggiano & Efrem Castelnuovo & Gabriela Nodari, 2022. "Uncertainty and monetary policy in good and bad times: A replication of the vector autoregressive investigation by Bloom (2009)," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(1), pages 210-217, January.
    21. Marcellino, Massimiliano & Foroni, Claudia & Casarin, Roberto & Ravazzolo, Francesco, 2017. "Uncertainty Through the Lenses of A Mixed-Frequency Bayesian Panel Markov Switching Model," CEPR Discussion Papers 12339, C.E.P.R. Discussion Papers.
    22. Maria Elena Bontempi & Michele Frigeri & Roberto Golinelli & Matteo Squadrani, 2021. "EURQ: A New Web Search‐based Uncertainty Index," Economica, London School of Economics and Political Science, vol. 88(352), pages 969-1015, October.
    23. Piergiorgio Alessandri & Andrea Gazzani & Alejandro Vicondoa, 2023. "Are the Effects of Uncertainty Shocks Big or Small?," Working Papers 244, Red Nacional de Investigadores en Economía (RedNIE).
    24. Dario Bonciani & Andrea Tafuro, 2018. "The Effects of Uncertainty Shocks on Daily Prices," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 14(1), pages 89-104, April.
    25. Ömer YALÇINKAYA & Muhammet DAŞTAN, 2020. "Effects of Global Economic, Political and Geopolitical Uncertainties on the Turkish Economy: A SVAR Analysis," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 97-116, March.
    26. Magnus Reif, 2018. "Macroeconomic Uncertainty and Forecasting Macroeconomic Aggregates," ifo Working Paper Series 265, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    27. Calmès, Christian & Théoret, Raymond, 2020. "Bank fee-based shocks and the U.S. business cycle," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).

  17. Laurent Ferrara & Olivier Darné & Karim Barhoumi, 2016. "A world trade leading index (WLTI)," Post-Print hal-01635948, HAL.

    Cited by:

    1. Jaime Martínez-Martín & Elena Rusticelli, 2020. "Keeping track of global trade in real time," Working Papers 2019, Banco de España.
    2. Amélie Charles & Olivier Darné, 2022. "Backcasting world trade growth using data reduction methods," The World Economy, Wiley Blackwell, vol. 45(10), pages 3169-3191, October.
    3. Chinn Menzie & Meunier Baptiste & Stumpner Sebastian, 2023. "Nowcasting world trade in real time with machine learning [Estimation du commerce mondial en temps réel grâce à l’apprentissage automatique]," Bulletin de la Banque de France, Banque de France, issue 248.
    4. Çiðdem Kurt Cihangir, 2018. "Küresel Risk Algýsýnýn Küresel Ticaret Üzerindeki Etkisi," Isletme ve Iktisat Calismalari Dergisi, Econjournals, vol. 6(1), pages 1-10.

  18. Cabrillac, Bruno & Al-Haschimi, Alexander & Babecká Kucharčuková, Oxana & Borin, Alessandro & Bussière, Matthieu & Cezar, Raphael & Derviz, Alexis & Dimitropoulou, Dimitra & Ferrara, Laurent & Gächter, 2016. "Understanding the weakness in global trade - What is the new normal?," Occasional Paper Series 178, European Central Bank.

    Cited by:

    1. Kilian, Lutz & Zhou, Xiaoqing, 2018. "Modeling fluctuations in the global demand for commodities," Journal of International Money and Finance, Elsevier, vol. 88(C), pages 54-78.
    2. Guillaume Gaulier & Aude Sztulman & Deniz Ünal, 2019. "Are global value chains receding? The jury is still out. Key findings from the analysis of deflated world trade in parts and components," Working papers 715, Banque de France.
    3. Campos, Rodolfo G. & Estefania-Flores, Julia & Furceri, Davide & Timini, Jacopo, 2023. "Geopolitical fragmentation and trade," Journal of Comparative Economics, Elsevier, vol. 51(4), pages 1289-1315.
    4. C. Mazet-Sonilhac & J.-S. Mésonnier, 2016. "The cost of equity for large non-financial companies in the euro area: an estimation over the last decade," Quarterly selection of articles - Bulletin de la Banque de France, Banque de France, issue 44, pages 28-39, Winter.
    5. Gächter, Martin & Gkrintzalis, Ioannis, 2017. "The finance–trade nexus revisited: Is the global trade slowdown also a financial story?," Economics Letters, Elsevier, vol. 158(C), pages 21-25.
    6. A. Boileau & L. Carlino & A. S. Lafon, 2016. "In the first half of 2016, the main French groups increased their profitability," Quarterly selection of articles - Bulletin de la Banque de France, Banque de France, issue 44, pages 40-51, Winter.
    7. R. Cezar, 2016. "France’s pharmaceutical industry in global value chains," Quarterly selection of articles - Bulletin de la Banque de France, Banque de France, issue 44, pages 52-63, Winter.
    8. E. Buttin, 2016. "Green bonds: a solution for financing the energy transition or a simple buzzword?," Quarterly selection of articles - Bulletin de la Banque de France, Banque de France, issue 44, pages 20-27, Winter.
    9. William F. Lincoln & Andrew H. McCallum & Michael Siemer, 2019. "The Great Recession and a Missing Generation of Exporters," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 67(4), pages 703-745, December.
    10. B. Cabrillac & L. Gauvin & J.-L. Gossé, 2016. "GDP-indexed bonds: what are the benefits for issuing countries, investors and international financial stability?," Quarterly selection of articles - Bulletin de la Banque de France, Banque de France, issue 44, pages 6-19, Winter.
    11. Rougès, D. & Strauss-Kahn, M.-O., 2017. "Sondage 2016 sur les Français et l’économie : comportements, préoccupations et attentes," Bulletin de la Banque de France, Banque de France, issue 209, pages 15-23.
    12. Xuefeng Qian & Zhao Liu & Ying Pan, 2017. "China's Trade Slowdown: Cyclical or Structural?," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 25(6), pages 65-83, November.
    13. Humbertclaude, S. & Monteil, F., 2017. "Le patrimoine économique national en 2015 : un modeste rebond," Bulletin de la Banque de France, Banque de France, issue 209, pages 5-14.
    14. Cezar, R., 2017. "L’industrie pharmaceutique française dans les chaînes de valeur mondiales," Bulletin de la Banque de France, Banque de France, issue 209, pages 57-69.
    15. Gunnella, Vanessa & Al-Haschimi, Alexander & Benkovskis, Konstantins & Chiacchio, Francesco & de Soyres, François & Di Lupidio, Benedetta & Fidora, Michael & Franco-Bedoya, Sebastian & Frohm, Erik & G, 2019. "The impact of global value chains on the euro area economy," Occasional Paper Series 221, European Central Bank.
    16. Bureau, B. & Bürker, M. & Libert, T., 2017. "La situation des entreprises en France en 2015," Bulletin de la Banque de France, Banque de France, issue 209, pages 39-55.
    17. Sondermann, David & Consolo, Agostino & Gunnella, Vanessa & Koester, Gerrit & Lambrias, Kyriacos & Lopez-Garcia, Paloma & Nerlich, Carolin & Petroulakis, Filippos & Saiz, Lorena & Serafini, Roberta, 2019. "Economic structures 20 years into the euro," Occasional Paper Series 224, European Central Bank.
    18. Hagemejer, Jan & Hałka, Aleksandra & Kotłowski, Jacek, 2022. "Global value chains and exchange rate pass-through—The role of non-linearities," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 461-478.
    19. Boileau, A. & Chavy-Martin, A.-C., 2017. "Les délais de paiement sont stables en 2015," Bulletin de la Banque de France, Banque de France, issue 209, pages 25-38.

  19. Frederique Bec & Othman Bouabdallah & Laurent Ferrara, 2015. "Comparing the shapes of recoveries: France, the UK and the US," Post-Print hal-01385943, HAL.

    Cited by:

    1. Zeng, Songlin & Bec, Frédérique, 2015. "Do stock returns rebound after bear markets? An empirical analysis from five OECD countries," Journal of Empirical Finance, Elsevier, vol. 30(C), pages 50-61.
    2. Kose, M. Ayhan & Sugawara, Naotaka & E. Terrones, Marco, 2020. "Global Recessions," CEPR Discussion Papers 14397, C.E.P.R. Discussion Papers.
    3. Silva Lopes, Artur C. & Florin Zsurkis, Gabriel, 2017. "Are linear models really unuseful to describe business cycle data?," MPRA Paper 79413, University Library of Munich, Germany.
    4. Rivaud, S., 2015. "Impacts macroéconomiques internationaux des réformes structurelles," Bulletin de la Banque de France, Banque de France, issue 200, pages 91-105.
    5. Antonin Aviat & Frédérique Bec & Claude Diebolt & Catherine Doz & Denis Ferrand & Laurent Ferrara & Eric Heyer & Valérie Mignon & Pierre-Alain Pionnier, 2021. "Dating business cycles in France: A reference chronology," Working Papers hal-04159735, HAL.
    6. María Dolores Gadea & Ana Gómez-Loscos & Gabriel Pérez-Quirós, 2017. "Dissecting US recoveries," Working Papers 1708, Banco de España.
    7. Lopes, Artur Silva & Zsurkis, Gabriel Florin, 2017. "Are linear models really unuseful to describe business cycle data?," Economics Discussion Papers 2017-5, Kiel Institute for the World Economy (IfW Kiel).
    8. Silva Lopes, Artur C. & Florin Zsurkis, Gabriel, 2015. "Revisiting non-linearities in business cycles around the world," MPRA Paper 65668, University Library of Munich, Germany.

  20. M. Bussière & L. Ferrara & J. Milovich, 2015. "Explaining the Recent Slump in Investment: the Role of Expected Demand and Uncertainty," Working papers 571, Banque de France.

    Cited by:

    1. Laurent Ferrara & Stéphane Lhuissier & Fabien Tripier, 2017. "Uncertainty Fluctuations: Measures, Effects and Macroeconomic Policy Challenges," CEPII Policy Brief 2017-20, CEPII research center.
    2. Goldin, Ian & Koutroumpis, Pantelis & Lafond, François & Winkler, Julian, 2020. "Why is productivity slowing down?," MPRA Paper 99172, University Library of Munich, Germany.
    3. José Bardaji & Jean‐Charles Bricongne & Benoît Campagne & Guillaume Gaulier, 2019. "Domestic and export performances of French firms," The World Economy, Wiley Blackwell, vol. 42(3), pages 785-817, March.
    4. Benigno, Gianluca & Fornaro, Luca, 2016. "Stagnation traps," LSE Research Online Documents on Economics 66416, London School of Economics and Political Science, LSE Library.
    5. Bertrand Candelon & Laurent Ferrara & Marc Joëts, 2016. "Global Financial Interconnectedness: A nonlinear Assessment of the Uncertainty Channel," Post-Print hal-01667074, HAL.
    6. Kose, M. Ayhan & Ohnsorge, Franziska & Ye, Lei (Sandy) & Islamaj, Ergys, 2017. "Weakness in Investment Growth: Causes, Implications and Policy Responses," CEPR Discussion Papers 11886, C.E.P.R. Discussion Papers.
    7. Germán Gutiérrez & Thomas Philippon, 2016. "Investment-less Growth: An Empirical Investigation," NBER Working Papers 22897, National Bureau of Economic Research, Inc.
    8. Matthieu Bussière & Laurent Ferrara & Juliana Milovich, 2017. "Explaining the recent slump in investment: the role of expected demand and uncertainty," Rue de la Banque, Banque de France, issue 44, may..
    9. Jean-Charles Bricongne & Aurora Maria Mordonu, 2015. "Interlinkages between Household and Corporate Debt in Advanced Economies," European Economy - Discussion Papers 017, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    10. Gigout, Timothee & Bricongne, Jean-Charles, 2019. "Explaining the Persistent Effect of Demand Uncertainty on Firm Growth," MPRA Paper 94228, University Library of Munich, Germany.
    11. Bajgar, Matej & Berlingieri, Giuseppe & Calligaris, Sara & Criscuolo, Chiara & Timmis, Jonathan, 2019. "Industry concentration in Europe and North America," LSE Research Online Documents on Economics 103427, London School of Economics and Political Science, LSE Library.
    12. Russell Barnett & Rhys R. Mendes, 2017. "A Structural Interpretation of the Recent Weakness in Business Investment," Staff Analytical Notes 17-7, Bank of Canada.
    13. Willem Vanlaer & Mattia Picarelli & Wim Marneffe, 2021. "Debt and Private Investment: Does the EU Suffer from a Debt Overhang?," Open Economies Review, Springer, vol. 32(4), pages 789-820, September.
    14. Antoine Berthou & Caroline Jardet & Daniele Siena & Urszula Szczerbowicz, 2018. "Costs and consequences of a trade war: a structural analysis," Rue de la Banque, Banque de France, issue 72, december.
    15. Claire Giordano & Marco Marinucci & Andrea Silvestrini, 2018. "Firms’ and households’ investment in Italy: the role of credit constraints and other macro factors," Temi di discussione (Economic working papers) 1167, Bank of Italy, Economic Research and International Relations Area.
    16. Claire Giordano & Marco Marinucci & Andrea Silvestrini, 2022. "Assessing the usefulness of survey‐based data in forecasting firms' capital formation: Evidence from Italy," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(3), pages 491-513, April.
    17. Andrin Spescha & Martin Woerter, 2016. "Research and Development as an Initiator of Fixed Capital Investment," KOF Working papers 16-402, KOF Swiss Economic Institute, ETH Zurich.
    18. Claire Giordano & Marco Marinucci & Andrea Silvestrini, 2021. "Forecasting corporate capital accumulation in Italy: the role of survey-based information," Questioni di Economia e Finanza (Occasional Papers) 596, Bank of Italy, Economic Research and International Relations Area.
    19. Harald Oberhofer & Christian Glocker & Werner Hölzl & Peter Huber & Serguei Kaniovski & Klaus Nowotny & Michael Pfaffermayr & Monique Ebell & Nikolaos Kontogiannis, 2016. "Single Market Transmission Mechanisms Before, During and After the 2008-09 Crisis. A Quantitative Assessment," WIFO Studies, WIFO, number 59156, February.
    20. Leslie G. Manison & Savvakis C. Savvides, 2016. "Towards Sustainable Growth: Rebuilding the Foundations of the Cyprus Economy," Development Discussion Papers 2016-07, JDI Executive Programs.
    21. OGAWA Kazuo & Elmer STERKEN & TOKUTSU Ichiro, 2019. "Why Is Investment So Weak Despite High Profitability? A panel study of Japanese manufacturing firms," Discussion papers 19009, Research Institute of Economy, Trade and Industry (RIETI).
    22. Gargan, Eric & Kenny, Eoin & O’Regan, Cynthia & O’Toole, Conor, 2023. "A cross country perspective on Irish enterprise investment: Do fundamentals or constraints matter?," Papers WP754, Economic and Social Research Institute (ESRI).
    23. Kim Sujin, 2018. "Investment Puzzle: Deeper Roots," Working Papers id:12433, eSocialSciences.
    24. Philippon, Thomas & Gutierrez, German, 2017. "Declining Competition and Investment in the U.S," CEPR Discussion Papers 12536, C.E.P.R. Discussion Papers.
    25. Valerio Della Corte & Claire Giordano, 2021. "Methodological issues in the estimation of current account imbalances," Questioni di Economia e Finanza (Occasional Papers) 617, Bank of Italy, Economic Research and International Relations Area.
    26. Oxana Babecka Kucharcukova & Renata Pasalicova, 2017. "Firm Investment, Financial Constraints and Monetary Transmission: An Investigation with Czech Firm-Level Data," Working Papers 2017/16, Czech National Bank.
    27. Jože Damijan & Jozef Konings & Črt Kostevc & Katja Zajc Kejžar, 2022. "Explaining the Low Level of Investment in Slovenia," European Economy - Discussion Papers 169, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    28. Mercatanti, Andrea & Mäkinen, Taneli & Silvestrini, Andrea, 2019. "The role of financial factors for European corporate investment," Journal of International Money and Finance, Elsevier, vol. 96(C), pages 246-258.
    29. Juan Carluccio & Clément Mazet-Sonilhac & Jean-Stéphane Mésonnier, 2019. "Investment and the WACC: new micro evidence for France," Working papers 710, Banque de France.
    30. Rose Cunningham & Christian Friedrich & Kristina Hess & Min Jae Kim, 2017. "Understanding the Time Variation in Exchange Rate Pass-Through to Import Prices," Discussion Papers 17-12, Bank of Canada.
    31. Anne DUQUERROY & Clément MAZET-SONILHAC, 2020. "Funding shock: how will the investment of large French firms be affected? [Choc de financement : quels effets sur l’investissement des grandes entreprises françaises ?]," Bulletin de la Banque de France, Banque de France, issue 229.
    32. Maxime Leboeuf & Robert Fay, 2016. "What Is Behind the Weakness in Global Investment?," Discussion Papers 16-5, Bank of Canada.
    33. Gigout, Timothee, 2019. "Firm dynamics in an global and uncertain economy," MPRA Paper 96569, University Library of Munich, Germany, revised 16 Oct 2019.
    34. Ines Buono & Sara Formai, 2019. "Bank credit, liquidity and firm-level investment: are recessions different?," Temi di discussione (Economic working papers) 1239, Bank of Italy, Economic Research and International Relations Area.
    35. Agostino Consolo & Marco Langiulli & David Sondermann, 2019. "Business investment in euro area countries: the role of institutions and debt overhang," Applied Economics Letters, Taylor & Francis Journals, vol. 26(7), pages 561-575, April.
    36. Lawless, Martina & O’Toole, Conor & Slaymaker, Rachel, 2018. "Estimating an SME investment gap and the contribution of financing frictions," Papers WP589, Economic and Social Research Institute (ESRI).
    37. Russell E. Triplett & Nilufer Ozdemir & Paul M. Mason, 2022. "Structural Change in the Investment Function," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 46(1), pages 220-236, January.
    38. Alessandro Arrighetti & Fabio Landini & Giorgia Sorrentino, 2020. "La ripresa passa dalla cogestione della filiera," QUADERNI DI ECONOMIA DEL LAVORO, FrancoAngeli Editore, vol. 2020(111), pages 225-235.
    39. Robert Fay & Justin-Damien Guénette & Martin Leduc & Louis Morel, 2017. "Why Is Global Business Investment So Weak? Some Insights from Advanced Economies," Bank of Canada Review, Bank of Canada, vol. 2017(Spring), pages 56-67.
    40. Bańbura, Marta & Albani, Maria & Ambrocio, Gene & Bursian, Dirk & Buss, Ginters & de Winter, Jasper & Gavura, Miroslav & Giordano, Claire & Júlio, Paulo & Le Roux, Julien & Lozej, Matija & Malthe-Thag, 2018. "Business investment in EU countries," Occasional Paper Series 215, European Central Bank.
    41. Matej Bajgar & Chiara Criscuolo & Jonathan Timmis, 2021. "Intangibles and industry concentration: Supersize me," OECD Science, Technology and Industry Working Papers 2021/12, OECD Publishing.
    42. Valentin Jouvanceau, 2023. "Consumer price rigidity in periods of low and high inflation: the case of Lithuania," Bank of Lithuania Discussion Paper Series 34, Bank of Lithuania.

  21. L. Ferrara & C. Marsilli, 2014. "Nowcasting global economic growth: A factor-augmented mixed-frequency approach," Working papers 515, Banque de France.

    Cited by:

    1. Christiane Baumeister & Pierre Guérin, 2020. "A Comparison of Monthly Global Indicators for Forecasting Growth," CESifo Working Paper Series 8656, CESifo.
    2. Kose, M. Ayhan & Sugawara, Naotaka & E. Terrones, Marco, 2020. "Global Recessions," CEPR Discussion Papers 14397, C.E.P.R. Discussion Papers.
    3. Knut Are Aastveit & Tuva Marie Fastbø & Eleonora Granziera & Kenneth Sæterhagen Paulsen & Kjersti Næss Torstensen, 2020. "Nowcasting Norwegian household consumption with debit card transaction data," Working Paper 2020/17, Norges Bank.
    4. Laurent Ferrara & Anna Simoni, 2020. "When are Google data useful to nowcast GDP? An approach via pre-selection and shrinkage," EconomiX Working Papers 2020-11, University of Paris Nanterre, EconomiX.
    5. Zhemkov, Michael, 2021. "Nowcasting Russian GDP using forecast combination approach," International Economics, Elsevier, vol. 168(C), pages 10-24.
    6. Francesco Ravazzolo & Joaquin Vespignani, 2017. "World steel production: A new monthly indicator of global real economic activity," CAMA Working Papers 2017-42, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    7. Maximo Camacho & Jaime Martinez-Martin, 2015. "Monitoring the world business cycle," Working Papers 1509, Banco de España.
    8. Stankevich, Ivan, 2020. "Comparison of macroeconomic indicators nowcasting methods: Russian GDP case," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 59, pages 113-127.
    9. 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.
    10. Baumann, Ursel & Gomez-Salvador, Ramon & Seitz, Franz, 2019. "Detecting turning points in global economic activity," Working Paper Series 2310, European Central Bank.
    11. Ferrara , L. & Marsilli, C., 2016. "Nowcasting global economic growth," Rue de la Banque, Banque de France, issue 23, April..
    12. Katja Heinisch & Axel Lindner, 2019. "For how long do IMF forecasts of world economic growth stay up-to-date?," Applied Economics Letters, Taylor & Francis Journals, vol. 26(3), pages 255-260, February.
    13. Chatelais, Nicolas & Stalla-Bourdillon, Arthur & Chinn, Menzie D., 2023. "Forecasting real activity using cross-sectoral stock market information," Journal of International Money and Finance, Elsevier, vol. 131(C).
    14. Johanna Garnitz & Robert Lehmann & Klaus Wohlrabe, 2019. "Forecasting GDP all over the world using leading indicators based on comprehensive survey data," CESifo Working Paper Series 7691, CESifo.
    15. Mahmut Gunay, 2018. "Nowcasting Annual Turkish GDP Growth with MIDAS," CBT Research Notes in Economics 1810, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    16. Nicolas Chatelais & Arthur Stalla-Bourdillon & Menzie D. Chinn, 2022. "Macroeconomic Forecasting using Filtered Signals from a Stock Market Cross Section," NBER Working Papers 30305, National Bureau of Economic Research, Inc.
    17. Jack Fosten & Shaoni Nandi, 2023. "Nowcasting from cross‐sectionally dependent panels," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(6), pages 898-919, September.
    18. Denisa BANULESCU-RADU & Laurent FERRARA & Clément MARSILLI, 2019. "Prévoir la volatilité d’un actif financier à l’aide d’un modèle à mélange de fréquences," LEO Working Papers / DR LEO 2710, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    19. Garnitz, Johanna & Lehmann, Robert & Wohlrabe, Klaus, 2017. "Forecasting GDP all over the World: Evidence from Comprehensive Survey Data," MPRA Paper 81772, University Library of Munich, Germany.
    20. C. Marsilli, 2014. "Variable Selection in Predictive MIDAS Models," Working papers 520, Banque de France.

  22. Frédérique Bec & Othman Bouabdallah & Laurent Ferrara, 2014. "The way out of recessions: A forecasting analysis for some Euro area countries," Post-Print hal-02979744, HAL.

    Cited by:

    1. Zeng, Songlin & Bec, Frédérique, 2015. "Do stock returns rebound after bear markets? An empirical analysis from five OECD countries," Journal of Empirical Finance, Elsevier, vol. 30(C), pages 50-61.
    2. Menzie Chinn & Laurent Ferrara & Valérie Mignon, 2013. "Post-Recession US Employment through the Lens of a Non-Linear Okun's Law," Working Papers 2013-13, CEPII research center.
    3. Frédérique Bec & Annabelle de Gaye, 2019. "Le modèle autorégressif autorégressif à seuil avec effet rebond : Une application aux rendements boursiers français et américains ," Working Papers hal-02014663, HAL.
    4. Frédérique Bec & Mélika Ben Salem, 2019. "Dornsbush revisited from an asymmetrical perspective: Evidence from G20 nominal effective exchange rates," Erudite Working Paper 2019-22, Erudite.
    5. Frédérique Bec & Mélika Ben Salem, 2020. "An asymmetrical overshooting correction model for G20 nominal effective exchange rates," PSE Working Papers hal-02908680, HAL.
    6. Menzie Chinn & Laurent Ferrara & Valérie Mignon, 2014. "Explaining US employment growth after the Great Recession: the role of output-employment non-linearities," Post-Print hal-01385949, HAL.
    7. Ferrara, Laurent & Marcellino, Massimiliano & Mogliani, Matteo, 2015. "Macroeconomic forecasting during the Great Recession: The return of non-linearity?," International Journal of Forecasting, Elsevier, vol. 31(3), pages 664-679.
    8. Antonin Aviat & Frédérique Bec & Claude Diebolt & Catherine Doz & Denis Ferrand & Laurent Ferrara & Eric Heyer & Valérie Mignon & Pierre-Alain Pionnier, 2021. "Dating business cycles in France: A reference chronology," Working Papers hal-04159735, HAL.
    9. Jörg Döpke & Ulrich Fritsche & Christian Pierdzioch, 2015. "Predicting Recessions With Boosted Regression Trees," Working Papers 2015-004, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    10. Grabowski Daniel & Winker Peter & Staszewska-Bystrova Anna, 2017. "Generating prediction bands for path forecasts from SETAR models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(5), pages 1-18, December.

  23. Amélie Charles & Olivier Darné & Laurent Ferrara, 2014. "Does the Great Recession imply the end of the Great Moderation? International evidence," EconomiX Working Papers 2014-21, University of Paris Nanterre, EconomiX.

    Cited by:

    1. Alexander Yu. Apokin & Irina B. Ipatova, 2016. "Structural Breaks in Potential GDP Of Three Major Economies: Just Impaired Credit or the “New Normal”?," HSE Working papers WP BRP 142/EC/2016, National Research University Higher School of Economics.
    2. Catherine Doz & Laurent Ferrara & Pierre-Alain Pionnier, 2020. "Business cycle dynamics after the Great Recession: An Extended Markov-Switching Dynamic Factor Model," Working Papers halshs-02443364, HAL.
    3. 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.
    4. Amélie Charles & Olivier Darné, 0. "Econometric history of the growth–volatility relationship in the USA: 1919–2017," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 0, pages 1-24.
    5. Nady Rapelanoro, 2016. "Spillover effects of global liquiditys expansion on emerging countries: evidences from a Panel VAR approach," EconomiX Working Papers 2016-17, University of Paris Nanterre, EconomiX.
    6. Michael Fritsch & Alina Sorgner & Michael Wyrwich & Evguenii Zazdravnykh, 2016. "Historical shocks and persistence of economic activity: evidence from a unique natural experiment," HSE Working papers WP BRP 143/EC/2016, National Research University Higher School of Economics.
    7. Kuo‐Hsuan Chin, 2022. "Forecast evaluation of DSGE models: Linear and nonlinear likelihood," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(6), pages 1099-1130, September.
    8. Shah, Adil Ahmad & Paul, Manas & Bhanja, Niyati & Dar, Arif Billah, 2021. "Dynamics of connectedness across crude oil, precious metals and exchange rate: Evidence from time and frequency domains," Resources Policy, Elsevier, vol. 73(C).
    9. 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.
    10. Rizwan Khalid & Choudhry Tanveer Shehzad & Bushra Naqvi, 2023. "Impact of capital account liberalization on stock market crashes," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 3700-3726, October.
    11. Ohikhuare, Obaika M., 2023. "How geopolitical risk drives spillover interconnectedness between crude oil and exchange rate markets: Evidence from the Russia-Ukraine war," Resources Policy, Elsevier, vol. 86(PB).
    12. Hasan Engin Duran, 2019. "Structural change and output volatility reduction in OECD countries: evidence of the Second Great Moderation," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 8(1), pages 1-14, December.

  24. Menzie Chinn & Laurent Ferrara & Valérie Mignon, 2014. "Explaining US employment growth after the Great Recession: the role of output-employment non-linearities," Post-Print hal-01385949, HAL.

    Cited by:

    1. James DeNicco & Christopher A. Laincz, 2018. "Jobless Recovery: A Time Series Look at the United States," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 46(1), pages 3-25, March.
    2. Xuexin Wang & Yixiao Sun, 2019. "An Asymptotic F Test for Uncorrelatedness in the Presence of Time Series Dependence," Working Papers 2019-05-24, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    3. Afsin Sahin, 2019. "Loom of Symmetric Pass-Through," Economies, MDPI, vol. 7(1), pages 1-25, February.
    4. L. Ferrara. & G. Sestieri., 2014. "US labour market and monetary policy: current debates and challenges," Quarterly selection of articles - Bulletin de la Banque de France, Banque de France, issue 36, pages 111-129, winter.
    5. Biswajit Nag & Willem van der Geest, 2020. "Economic Impact Analysis of Covid-19 Implication on India’s GDP, Employment and Inequality," Working Papers 2041, Indian Institute of Foreign Trade.
    6. Giorgio Canarella & Stephen M. Miller, 2016. "Did Okun's Law Die after the Great Recession?," Working papers 2016-10, University of Connecticut, Department of Economics.
    7. Cuesta, Lizeth, 2020. "Impacto de la política de empleo juvenil en la disminución del desempleo en los países de la Unión Europea, período 2002-2017 [Impact of youth employment policy on the reduction of unemployment in ," MPRA Paper 111026, University Library of Munich, Germany, revised 08 Aug 2021.
    8. Valadkhani, Abbas & Smyth, Russell, 2015. "Switching and asymmetric behaviour of the Okun coefficient in the US: Evidence for the 1948–2015 period," Economic Modelling, Elsevier, vol. 50(C), pages 281-290.
    9. Ousama Ben-Salha & Zouhair Mrabet, 2019. "Is Economic Growth Really Jobless? Empirical Evidence from North Africa," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 61(4), pages 598-624, December.

  25. Menzie Chinn & Laurent Ferrara & Valérie Mignon, 2013. "Post-recession US employment through the lens of a non-linear Okun," Post-Print hal-01386100, HAL.

    Cited by:

    1. Miquel Clar-Lopez & Jordi López-Tamayo & Raúl Ramos, 2014. "Unemployment forecasts, time varying coefficient models and the Okun’s law in Spanish regions," Economics and Business Letters, Oviedo University Press, vol. 3(4), pages 247-262.
    2. Luz A. Flórez & Karen L. Pulido-Mahecha & Mario A. Ramos-Veloza, 2018. "Okun´s law in Colombia: a non-linear cointegration," Borradores de Economia 1039, Banco de la Republica de Colombia.

  26. Karim Barhoumi & Olivier Darné & Laurent Ferrara, 2013. "Une revue de la littérature des modèles à facteurs dynamiques," Post-Print hal-01385940, HAL.

    Cited by:

    1. Mouloud El Hafidi & Marouane Daoui, 2019. "Chocs de la politique monétaire et croissance économique au Maroc : une approche en terme de modèles FAVAR," Post-Print hal-03311354, HAL.

  27. Laurent Ferrara, 2013. "Comments on: Examining the quality of early GDP component estimates," Post-Print hal-01385874, HAL.

    Cited by:

    1. Peter A.G. van Bergeijk, 2017. "Making Data Measurement Errors Transparent: The Case of the IMF," World Economics, World Economics, 1 Ivory Square, Plantation Wharf, London, United Kingdom, SW11 3UE, vol. 18(3), pages 133-154, July.

  28. Monica Billio & Laurent Ferrara & Dominique Guegan & Gian Luigi Mazzi, 2013. "Evaluation of Regime Switching Models for Real-Time Business Cycle Analysis of the Euro Area," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-00965005, HAL.

    Cited by:

    1. Monica Billio & Roberto Casarin & Francesco Ravazzolo & Herman K. van Dijk, 2013. "Interactions between Eurozone and US Booms and Busts: A Bayesian Panel Markov-switching VAR Model," Tinbergen Institute Discussion Papers 13-142/III, Tinbergen Institute, revised 01 Nov 2014.
    2. Amélie Charles & Olivier Darné & Claude Diebolt & Laurent Ferrara, 2012. "A new monthly chronology of the US industrial cycles in the prewar economy," Working Papers 12-02, Association Française de Cliométrie (AFC).
    3. Aastveit, Knut Are & Jore, Anne Sofie & Ravazzolo, Francesco, 2016. "Identification and real-time forecasting of Norwegian business cycles," International Journal of Forecasting, Elsevier, vol. 32(2), pages 283-292.
    4. Knut Are Aastveit & André K. Anundsen & Eyo I. Herstad, 2017. "Residential investment and recession predictability," Working Paper 2017/24, Norges Bank.
    5. Singh, Tarlok, 2014. "On the regime-switching and asymmetric dynamics of economic growth in the OECD countries," Research in Economics, Elsevier, vol. 68(2), pages 169-192.

  29. Barhoumi, K. & Darné, O. & Ferrara, L., 2013. "Dynamic Factor Models: A review of the Literature ," Working papers 430, Banque de France.

    Cited by:

    1. Trucíos Maza, Carlos César & Mazzeu, João H. G. & Hallin, Marc & Hotta, Luiz Koodi & Pereira, Pedro L. Valls & Zevallos, Mauricio, 2019. "Forecasting conditional covariance matrices in high-dimensional time series: a general dynamic factor approach," Textos para discussão 505, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    2. Carlos Cesar Trucios-Maza & João H. G Mazzeu & Luis K. Hotta & Pedro L. Valls Pereira & Marc Hallin, 2019. "On the robustness of the general dynamic factor model with infinite-dimensional space: identification, estimation, and forecasting," Working Papers ECARES 2019-32, ULB -- Universite Libre de Bruxelles.
    3. Mattia Guerini & Duc Thi Luu & Mauro Napoletano, 2019. "Synchronization Patterns in the European Union," GREDEG Working Papers 2019-30, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    4. Hui ‘Fox’ Ling & Christian Franzen, 2017. "Online learning of time-varying stochastic factor structure by variational sequential Bayesian factor analysis," Quantitative Finance, Taylor & Francis Journals, vol. 17(8), pages 1277-1304, August.
    5. David Havrlant & Peter Tóth & Julia Wörz, 2016. "On the optimal number of indicators – nowcasting GDP growth in CESEE," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 4, pages 54-72.
    6. Focardi, Sergio M. & Fabozzi, Frank J. & Mitov, Ivan K., 2016. "A new approach to statistical arbitrage: Strategies based on dynamic factor models of prices and their performance," Journal of Banking & Finance, Elsevier, vol. 65(C), pages 134-155.
    7. Amélie Charles & Olivier Darné, 2022. "Backcasting world trade growth using data reduction methods," The World Economy, Wiley Blackwell, vol. 45(10), pages 3169-3191, October.
    8. Tóth, Peter, 2014. "Malý dynamický faktorový model na krátkodobé prognózovanie slovenského HDP [A Small Dynamic Factor Model for the Short-Term Forecasting of Slovak GDP]," MPRA Paper 63713, University Library of Munich, Germany.
    9. Helmut Lütkepohl, 2014. "Structural Vector Autoregressive Analysis in a Data Rich Environment: A Survey," Discussion Papers of DIW Berlin 1351, DIW Berlin, German Institute for Economic Research.
    10. 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.
    11. Ferrara , L. & Marsilli, C., 2016. "Nowcasting global economic growth," Rue de la Banque, Banque de France, issue 23, April..
    12. Catherine Doz & Peter Fuleky, 2019. "Dynamic Factor Models," Working Papers halshs-02262202, HAL.
    13. L. Ferrara. & G. Sestieri., 2014. "US labour market and monetary policy: current debates and challenges," Quarterly selection of articles - Bulletin de la Banque de France, Banque de France, issue 36, pages 111-129, winter.
    14. Karen Poghosyan & Ruben Poghosyan, 2021. "On the Applicability of Dynamic Factor Models for Forecasting Real GDP Growth in Armenia," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 71(1), pages 52-79, June.
    15. Trucíos Maza, Carlos César & Mazzeu, João H. G. & Hotta, Luiz Koodi & Pereira, Pedro L. Valls & Hallin, Marc, 2020. "Robustness and the general dynamic factor model with infinite-dimensional space: identification, estimation, and forecasting," Textos para discussão 521, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    16. Helmut Herwartz & Christian Ochsner & Hannes Rohloff, 2021. "The Credit Composition of Global Liquidity," MAGKS Papers on Economics 202115, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    17. Maximo Camacho & Gabriel Perez-Quiros & Pilar Poncela, 2012. "Markov-switching dynamic factor models in real time," Working Papers 1205, Banco de España.
    18. Marijn A. Bolhuis & Brett Rayner, 2020. "Deus ex Machina? A Framework for Macro Forecasting with Machine Learning," IMF Working Papers 2020/045, International Monetary Fund.
    19. Amélie Charles & Olivier Darné & Fabien Tripier, 2017. "Uncertainty and the Macroeconomy," Post-Print hal-01549625, HAL.
    20. Juan Laborda & Sonia Ruano & Ignacio Zamanillo, 2023. "Multi-Country and Multi-Horizon GDP Forecasting Using Temporal Fusion Transformers," Mathematics, MDPI, vol. 11(12), pages 1-26, June.
    21. Duangnate, Kannika & Mjelde, James W., 2017. "Comparison of data-rich and small-scale data time series models generating probabilistic forecasts: An application to U.S. natural gas gross withdrawals," Energy Economics, Elsevier, vol. 65(C), pages 411-423.
    22. Denisa BANULESCU-RADU & Laurent FERRARA & Clément MARSILLI, 2019. "Prévoir la volatilité d’un actif financier à l’aide d’un modèle à mélange de fréquences," LEO Working Papers / DR LEO 2710, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    23. Karmous, Aida & Boubaker, Heni & Belkacem, Lotfi, 2019. "A dynamic factor model with stylized facts to forecast volatility for an optimal portfolio," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    24. Amélie Charles & Olivier Darné & Fabien Tripier, 2018. "Uncertainty and the macroeconomy: evidence from an uncertainty composite indicator," Applied Economics, Taylor & Francis Journals, vol. 50(10), pages 1093-1107, February.

  30. Menzie Chinn & Laurent Ferrara & Valérie Mignon, 2013. "Post-Recession US Employment through the Lens of a Non-Linear Okun's Law," Working Papers 2013-13, CEPII research center.

    Cited by:

    1. Benos, Nikos & Stavrakoudis, Athanassios, 2020. "Okun's Law: Copula-based Evidence from G7 Countries," MPRA Paper 103318, University Library of Munich, Germany.
    2. Jon D. Wisman & Aaron Pacitti, 2013. "Ending the Crisis With Guaranteed Employment and Retraining," Working Papers 2013-12, American University, Department of Economics.
    3. Ryan Herzog, 2013. "Using state level employment thresholds to explain Okun’s Law," IZA Journal of Labor Policy, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 2(1), pages 1-26, December.
    4. Miquel Clar-Lopez & Jordi López-Tamayo & Raúl Ramos, 2014. "Unemployment forecasts, time varying coefficient models and the Okun’s law in Spanish regions," Economics and Business Letters, Oviedo University Press, vol. 3(4), pages 247-262.
    5. Jan Bruha & Jiri Polansky, 2015. "Empirical Analysis of Labor Markets over Business Cycles: An International Comparison," Working Papers 2015/15, Czech National Bank.
    6. Luz A. Flórez & Karen L. Pulido-Mahecha & Mario A. Ramos-Veloza, 2018. "Okun´s law in Colombia: a non-linear cointegration," Borradores de Economia 1039, Banco de la Republica de Colombia.
    7. Hogrefe, Jan & Sachs, Andreas, 2014. "Unemployment and labor reallocation in Europe," ZEW Discussion Papers 14-083, ZEW - Leibniz Centre for European Economic Research.

  31. Karim Barhoumi & Olivier Darné & Laurent Ferrara, 2013. "Testing the number of factors: An empirical assessment for forecasting purposes," Post-Print hal-01385876, HAL.

    Cited by:

    1. GUO-FITOUSSI, Liang, 2013. "A Comparison of the Finite Sample Properties of Selection Rules of Factor Numbers in Large Datasets," MPRA Paper 50005, University Library of Munich, Germany.
    2. Berg, Tim O. & Henzel, Steffen R., 2015. "Point and density forecasts for the euro area using Bayesian VARs," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1067-1095.
    3. Francisco Corona & Pilar Poncela & Esther Ruiz, 2017. "Determining the number of factors after stationary univariate transformations," Empirical Economics, Springer, vol. 53(1), pages 351-372, August.
    4. Karen Miranda & Pilar Poncela & Esther Ruiz, 2022. "Dynamic factor models: Does the specification matter?," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 13(1), pages 397-428, May.
    5. Laurent Ferrara & Olivier Darné & Karim Barhoumi, 2016. "A world trade leading index (WLTI)," Post-Print hal-01635948, HAL.
    6. Mahmut Günay, 2015. "Forecasting Turkish Industrial Production Growth With Static Factor Models," International Econometric Review (IER), Econometric Research Association, vol. 7(2), pages 64-78, September.
    7. Laurent Ferrara & Clément Marsilli, 2019. "Nowcasting global economic growth: A factor‐augmented mixed‐frequency approach," The World Economy, Wiley Blackwell, vol. 42(3), pages 846-875, March.
    8. António Rua, 2016. "A wavelet-based multivariate multiscale approach for forecasting," Working Papers w201612, Banco de Portugal, Economics and Research Department.
    9. Dalibor Stevanovic & Charles Olivier Mao Takongmo, 2014. "Selection of the number of factors in presence of structural instability: a Monte Carlo study," CIRANO Working Papers 2014s-44, CIRANO.
    10. Kappler, Marcus & Schleer, Frauke, 2017. "A financially stressed euro area," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 11, pages 1-37.
    11. Barhoumi, K. & Darné, O. & Ferrara, L., 2013. "Dynamic Factor Models: A review of the Literature ," Working papers 430, Banque de France.
    12. Kappler, Marcus & Schleer, Frauke, 2013. "How many factors and shocks cause financial stress?," ZEW Discussion Papers 13-100, ZEW - Leibniz Centre for European Economic Research.

  32. Ferrara, L. & Marsilli, C. & Ortega, J-P., 2013. "Forecasting growth during the Great Recession: is financial volatility the missing ingredient?," Working papers 454, Banque de France.

    Cited by:

    1. Laurent Ferrara & Stéphane Lhuissier & Fabien Tripier, 2017. "Uncertainty Fluctuations: Measures, Effects and Macroeconomic Policy Challenges," CEPII Policy Brief 2017-20, CEPII research center.
    2. Marcelle Chauvet & Zeynep Senyuz & Emre Yoldas, 2013. "What does financial volatility tell us about macroeconomic fluctuations?," Finance and Economics Discussion Series 2013-61, Board of Governors of the Federal Reserve System (U.S.).
    3. Mikosch, Heiner & Solanko, Laura, 2017. "Should one follow movements in the oil price or in money supply? Forecasting quarterly GDP growth in Russia with higher-frequency indicators," BOFIT Discussion Papers 19/2017, Bank of Finland Institute for Emerging Economies (BOFIT).
    4. Mogliani, Matteo & Darné, Olivier & Pluyaud, Bertrand, 2017. "The new MIBA model: Real-time nowcasting of French GDP using the Banque de France's monthly business survey," Economic Modelling, Elsevier, vol. 64(C), pages 26-39.
    5. Vortelinos, Dimitrios I., 2017. "Forecasting realized volatility: HAR against Principal Components Combining, neural networks and GARCH," Research in International Business and Finance, Elsevier, vol. 39(PB), pages 824-839.
    6. Rusnák, Marek, 2016. "Nowcasting Czech GDP in real time," Economic Modelling, Elsevier, vol. 54(C), pages 26-39.
    7. Marie Bessec, 2019. "Revisiting the transitional dynamics of business-cycle phases with mixed-frequency data," Post-Print hal-02181552, HAL.
    8. Grégory Levieuge, 2017. "Explaining and forecasting bank loans. Good times and crisis," Post-Print hal-03529226, HAL.
    9. Heiner Mikosch & Laura Solanko, 2019. "Forecasting Quarterly Russian GDP Growth with Mixed-Frequency Data," Russian Journal of Money and Finance, Bank of Russia, vol. 78(1), pages 19-35, March.
    10. Cremers, Martijn & Fleckenstein, Matthias & Gandhi, Priyank, 2021. "Treasury yield implied volatility and real activity," Journal of Financial Economics, Elsevier, vol. 140(2), pages 412-435.
    11. Laurent Ferrara & Clément Marsilli, 2019. "Nowcasting global economic growth: A factor‐augmented mixed‐frequency approach," The World Economy, Wiley Blackwell, vol. 42(3), pages 846-875, March.
    12. Junttila, Juha & Vataja, Juuso, 2018. "Economic policy uncertainty effects for forecasting future real economic activity," Economic Systems, Elsevier, vol. 42(4), pages 569-583.
    13. Giovanni Ballarin & Petros Dellaportas & Lyudmila Grigoryeva & Marcel Hirt & Sophie van Huellen & Juan-Pablo Ortega, 2022. "Reservoir Computing for Macroeconomic Forecasting with Mixed Frequency Data," Papers 2211.00363, arXiv.org, revised Jan 2024.
    14. an de Meulen, Philipp, 2015. "Das RWI-Kurzfristprognosemodell," RWI Konjunkturberichte, RWI - Leibniz-Institut für Wirtschaftsforschung, vol. 66(2), pages 25-46.
    15. Fatemeh Salimi, 2020. "Exchange Rates, Stock Prices, and Stock Market Uncertainty," Working Papers halshs-03007904, HAL.
    16. Gani Ramadani & Magdalena Petrovska & Vesna Bucevska, 2021. "Evaluation of mixed frequency approaches for tracking near-term economic developments in North Macedonia," Working Papers 2021-03, National Bank of the Republic of North Macedonia.
    17. Marie Bessec, 2015. "Revisiting the transitional dynamics of business-cycle phases with mixed frequency data," Post-Print hal-01276824, HAL.
    18. Kitlinski, Tobias & an de Meulen, Philipp, 2015. "The role of targeted predictors for nowcasting GDP with bridge models: Application to the Euro area," Ruhr Economic Papers 559, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    19. Fatemeh Salimi Namin, 2020. "Exchange Rates, Stock Prices, and Stock Market Uncertainty," AMSE Working Papers 2037, Aix-Marseille School of Economics, France.
    20. Laine, Olli-Matti & Lindblad, Annika, 2020. "Nowcasting Finnish GDP growth using financial variables: a MIDAS approach," BoF Economics Review 4/2020, Bank of Finland.
    21. Stefan Gebauer, 2017. "The Use of Financial Market Variables in Forecasting," DIW Roundup: Politik im Fokus 115, DIW Berlin, German Institute for Economic Research.
    22. Ramadani Gani & Petrovska Magdalena & Bucevska Vesna, 2021. "Evaluation of Mixed Frequency Approaches for Tracking Near-Term Economic Developments in North Macedonia," South East European Journal of Economics and Business, Sciendo, vol. 16(2), pages 43-52, December.
    23. C. Marsilli, 2014. "Variable Selection in Predictive MIDAS Models," Working papers 520, Banque de France.
    24. Schumacher, Christian, 2016. "A comparison of MIDAS and bridge equations," International Journal of Forecasting, Elsevier, vol. 32(2), pages 257-270.

  33. Amélie Charles & Olivier Darné & Claude Diebolt & Laurent Ferrara, 2012. "A new monthly chronology of the US industrial cycles in the prewar economy," Working Papers 12-02, Association Française de Cliométrie (AFC).

    Cited by:

    1. Sipan Aslan & Ceylan Yozgatligil & Cem Iyigun, 2018. "Temporal clustering of time series via threshold autoregressive models: application to commodity prices," Annals of Operations Research, Springer, vol. 260(1), pages 51-77, January.
    2. Claude Diebolt, 2020. "L’idée de régulation dans les sciences : hommage à l’épistémologue Jean Piaget," Working Papers 01-20, Association Française de Cliométrie (AFC).
    3. Antonin Aviat & Frédérique Bec & Claude Diebolt & Catherine Doz & Denis Ferrand & Laurent Ferrara & Eric Heyer & Valérie Mignon & Pierre-Alain Pionnier, 2021. "Dating business cycles in France: A reference chronology," Working Papers hal-04159735, HAL.
    4. Claude Diebolt & Mamoudou Toure & Jamel Trabelsi, 2012. "Monetary Credibility Effects on Inflation Dynamics: A Macrohistorical Case Study," Working Papers 12-04, Association Française de Cliométrie (AFC).
    5. Thi Hong Van Hoang, 2012. "Has gold been a hedge against inflation in France from 1949 to 2011? Empirical evidence of the French specificity," Working Papers 12-05, Association Française de Cliométrie (AFC).

  34. Christophe Bellégo & Laurent Ferrara, 2012. "Macro-financial linkages and business cycles: A factor-probit approach," Post-Print hal-01385846, HAL.

    Cited by:

    1. Laurent Ferrara & Clément Marsilli & Juan-Pablo Ortega, 2013. "Forecasting US growth during the Great Recession: Is the financial volatility the missing ingredient?," Working Papers hal-04141198, HAL.
    2. Pönkä, Harri & Stenborg, Markku, 2018. "Forecasting the state of the Finnish business cycle," MPRA Paper 91226, University Library of Munich, Germany.
    3. Nissilä, Wilma, 2020. "Probit based time series models in recession forecasting – A survey with an empirical illustration for Finland," BoF Economics Review 7/2020, Bank of Finland.
    4. Harri Ponka, 2017. "The Role of Credit in Predicting US Recessions," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 36(5), pages 469-482, August.
    5. Narcissa Balta & Bořek Vašíček, 2020. "Financial channels and economic activity in the euro area: a large-scale Bayesian VAR approach," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 47(2), pages 431-451, May.
    6. Irma Alonso & Luis Molina, 2019. "The SHERLOC: an EWS-based index of vulnerability for emerging economies," Working Papers 1946, Banco de España.

  35. Ferrara, L. & Marcellino, M. & Mogliani, M., 2012. "Macroeconomic forecasting during the Great Recession: The return of non-linearity?," Working papers 383, Banque de France.

    Cited by:

    1. David Alaminos & M. Belén Salas & Manuel A. Fernández-Gámez, 2022. "Quantum Computing and Deep Learning Methods for GDP Growth Forecasting," Computational Economics, Springer;Society for Computational Economics, vol. 59(2), pages 803-829, February.
    2. Knut Lehre Seip & Yunus Yilmaz & Michael Schröder, 2019. "Comparing Sentiment- and Behavioral-Based Leading Indexes for Industrial Production: When Does Each Fail?," Economies, MDPI, vol. 7(4), pages 1-18, October.
    3. Y. Dendramis & G. Kapetanios & M. Marcellino, 2020. "A similarity‐based approach for macroeconomic forecasting," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(3), pages 801-827, June.
    4. Marcellino, Massimiliano & Foroni, Claudia & Stevanovic, Dalibor, 2020. "Forecasting the Covid-19 recession and recovery: Lessons from the financial crisis," CEPR Discussion Papers 15114, C.E.P.R. Discussion Papers.
    5. Mogliani, Matteo & Darné, Olivier & Pluyaud, Bertrand, 2017. "The new MIBA model: Real-time nowcasting of French GDP using the Banque de France's monthly business survey," Economic Modelling, Elsevier, vol. 64(C), pages 26-39.
    6. Caterina Forti Grazzini & Massimo Guidolin, 2013. "Forecasting yield spreads under crisis-induced multiple breakpoints," Applied Economics Letters, Taylor & Francis Journals, vol. 20(18), pages 1656-1664, December.
    7. Amélie Charles & Olivier Darné & Laurent Ferrara, 2014. "Does the Great Recession imply the end of the Great Moderation? International evidence," Working Papers hal-04141344, HAL.
    8. Ana B. Galvão & Michael T. Owyang, 2014. "Financial stress regimes and the macroeconomy," Working Papers 2014-20, Federal Reserve Bank of St. Louis.
    9. Kurmaş Akdoğan, 2017. "Unemployment hysteresis and structural change in Europe," Empirical Economics, Springer, vol. 53(4), pages 1415-1440, December.
    10. Lenza, Michele & Moutachaker, Inès & Paredes, Joan, 2023. "Density forecasts of inflation: a quantile regression forest approach," Working Paper Series 2830, European Central Bank.
    11. Emilio Zanetti Chini, 2018. "Forecasting dynamically asymmetric fluctuations of the U.S. business cycle," CREATES Research Papers 2018-13, Department of Economics and Business Economics, Aarhus University.
    12. Boris Blagov & Michael Funke & Richhild Moessner, 2015. "Modelling the time-variation in euro area lending spreads," BIS Working Papers 526, Bank for International Settlements.
    13. Bartkus Algirdas, 2016. "A New Model with Regime Switching Errors: Forecasting Gdp in Times of Great Recession," Ekonomika (Economics), Sciendo, vol. 95(2), pages 7-29, February.
    14. Di Caro, Paolo, 2014. "Regional recessions and recoveries in theory and practice: a resilience-based overview," MPRA Paper 60300, University Library of Munich, Germany.
    15. Heinrich, Markus, 2020. "Does the Current State of the Business Cycle matter for Real-Time Forecasting? A Mixed-Frequency Threshold VAR approach," EconStor Preprints 219312, ZBW - Leibniz Information Centre for Economics.
    16. Andrea Carriero & Galvao, Ana Beatriz & Kapetanios, George, 2016. "A comprehensive evaluation of macroeconomic forecasting methods," EMF Research Papers 10, Economic Modelling and Forecasting Group.
    17. Kurmaş Akdoğan, 2015. "Unemployment Hysteresis and Structural Change in Europe," EY International Congress on Economics II (EYC2015), November 5-6, 2015, Ankara, Turkey 266, Ekonomik Yaklasim Association.
    18. Rafael Ravnik, 2014. "Short-Term Forecasting of GDP under Structural Changes," Working Papers 40, The Croatian National Bank, Croatia.
    19. Pablo Guerróon‐Quintana & Molin Zhong, 2023. "Macroeconomic forecasting in times of crises," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(3), pages 295-320, April.
    20. Barnett, Alina & Mumtaz, Haroon & Theodoridis, Konstantinos, 2014. "Forecasting UK GDP growth and inflation under structural change. A comparison of models with time-varying parameters," International Journal of Forecasting, Elsevier, vol. 30(1), pages 129-143.
    21. Zeyyad Mandalinci, 2015. "Forecasting Inflation in Emerging Markets: An Evaluation of Alternative Models," CReMFi Discussion Papers 3, CReMFi, School of Economics and Finance, QMUL.
    22. Paul Ho, 2021. "Forecasting in the Absence of Precedent," Working Paper 21-10, Federal Reserve Bank of Richmond.
    23. Jörg Döpke & Ulrich Fritsche & Christian Pierdzioch, 2015. "Predicting Recessions With Boosted Regression Trees," Working Papers 2015-004, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    24. Federico Lampis, 2016. "Forecasting the sectoral GVA of a small Spanish region," Economics and Business Letters, Oviedo University Press, vol. 5(2), pages 38-44.
    25. Kevin Moran & Simplice Aimé Nono & Imad Rherrad, 2018. "Forecasting with Many Predictors: How Useful are National and International Confidence Data?," Cahiers de recherche 1814, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques.
    26. Kajal Lahiri & Liu Yang, 2023. "Predicting binary outcomes based on the pair-copula construction," Empirical Economics, Springer, vol. 64(6), pages 3089-3119, June.
    27. Schlösser, Alexander, 2020. "Forecasting industrial production in Germany: The predictive power of leading indicators," Ruhr Economic Papers 838, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    28. Mahmut Gunay, 2016. "Forecasting Turkish GDP Growth with Financial Variables and Confidence Indicators," CBT Research Notes in Economics 1614, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    29. Kurmaş Akdoğan, 2015. "Asymmetric Behaviour of Inflation around the Target in Inflation-Targeting Countries," Scottish Journal of Political Economy, Scottish Economic Society, vol. 62(5), pages 486-504, November.
    30. Benjamin Garcia & Arsenios Skaperdas, 2017. "Inferring the Shadow Rate from Real Activity," Finance and Economics Discussion Series 2017-106, Board of Governors of the Federal Reserve System (U.S.).

  36. Laurent Ferrara & Clément Marsilli, 2012. "Financial variables as leading indicators of GDP growth: Evidence from a MIDAS approach during the Great Recession," EconomiX Working Papers 2012-19, University of Paris Nanterre, EconomiX.

    Cited by:

    1. Deimante Teresiene & Greta Keliuotyte-Staniuleniene & Yiyi Liao & Rasa Kanapickiene & Ruihui Pu & Siyan Hu & Xiao-Guang Yue, 2021. "The Impact of the COVID-19 Pandemic on Consumer and Business Confidence Indicators," JRFM, MDPI, vol. 14(4), pages 1-23, April.
    2. Mogliani, Matteo & Darné, Olivier & Pluyaud, Bertrand, 2017. "The new MIBA model: Real-time nowcasting of French GDP using the Banque de France's monthly business survey," Economic Modelling, Elsevier, vol. 64(C), pages 26-39.
    3. Özgür Ömer Ersin & Melike Bildirici, 2023. "Financial Volatility Modeling with the GARCH-MIDAS-LSTM Approach: The Effects of Economic Expectations, Geopolitical Risks and Industrial Production during COVID-19," Mathematics, MDPI, vol. 11(8), pages 1-26, April.
    4. Mittal, Amit & Garg, Ajay Kumar, 2021. "Bank stocks inform higher growth—A System GMM analysis of ten emerging markets in Asia," The Quarterly Review of Economics and Finance, Elsevier, vol. 79(C), pages 210-220.
    5. Laurent Ferrara & Clément Marsilli & Juan-Pablo Ortega, 2013. "Forecasting US growth during the Great Recession: Is the financial volatility the missing ingredient?," Working Papers hal-04141198, HAL.
    6. Laurent Ferrara & Clément Marsilli, 2019. "Nowcasting global economic growth: A factor‐augmented mixed‐frequency approach," The World Economy, Wiley Blackwell, vol. 42(3), pages 846-875, March.
    7. Mittal, Amit & Garg, Ajay Kumar, 2018. "Bank stocks inform higher growth – A System GMM analysis of ten emerging markets in Asia," MPRA Paper 98253, University Library of Munich, Germany.
    8. Morita, Hiroshi, 2022. "Forecasting GDP growth using stock returns in Japan: A factor-augmented MIDAS approach," Discussion paper series HIAS-E-118, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
    9. Donato Ceci & Orest Prifti & Andrea Silvestrini, 2024. "Nowcasting Italian GDP growth: a Factor MIDAS approach," Temi di discussione (Economic working papers) 1446, Bank of Italy, Economic Research and International Relations Area.
    10. Gong, Yuting & Chen, Qiang & Liang, Jufang, 2018. "A mixed data sampling copula model for the return-liquidity dependence in stock index futures markets," Economic Modelling, Elsevier, vol. 68(C), pages 586-598.
    11. Petralias, Athanassios & Petros, Sotirios & Prodromídis, Pródromos, 2013. "Greece in recession: economic predictions, mispredictions and policy implications," LSE Research Online Documents on Economics 52626, London School of Economics and Political Science, LSE Library.
    12. C. Marsilli, 2014. "Variable Selection in Predictive MIDAS Models," Working papers 520, Banque de France.
    13. Barhoumi, K. & Darné, O. & Ferrara, L., 2013. "Dynamic Factor Models: A review of the Literature ," Working papers 430, Banque de France.

  37. Bec, F. & Bouabdallah, O. & Ferrara, L., 2012. "The European way out of recession," Working papers 360, Banque de France.

    Cited by:

    1. Frédérique Bec & Marie Bessec, 2013. "Inventory Investment Dynamics and Recoveries : A Comparison of Manufacturing and Retail Trade Sectors," Post-Print hal-02979461, HAL.
    2. Moritz Cruz, 2015. "The need for official reserves in Latin America: Assessing the precautionary motive, 1995-2011," Revista Cuadernos de Economia, Universidad Nacional de Colombia, FCE, CID, March.

  38. Karim Barhoumi & Olivier Darné & Laurent Ferrara & Bertrand Pluyaud, 2012. "Monthly GDP forecasting using bridge models: Comparison from the supply and demand sides for the French economy," Post-Print hal-01385807, HAL.

    Cited by:

    1. Robert Lehmann, 2016. "Economic Growth and Business Cycle Forecasting at the Regional Level," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 65.
    2. Olivier Darne & Amelie Charles, 2020. "Nowcasting GDP growth using data reduction methods: Evidence for the French economy," Economics Bulletin, AccessEcon, vol. 40(3), pages 2431-2439.
    3. Katja Drechsel & Dr. Rolf Scheufele, 2012. "Bottom-up or Direct? Forecasting German GDP in a Data-rich Environment," Working Papers 2012-16, Swiss National Bank.
    4. Savignac, Frédérique & Gautier, Erwan & Gorodnichenko, Yuriy & Coibion, Olivier, 2022. "Firms' Inflation Expectations: New Evidence from France," IZA Discussion Papers 15069, Institute of Labor Economics (IZA).
    5. Soybilgen, Barış & Yazgan, Ege, 2018. "Evaluating nowcasts of bridge equations with advanced combination schemes for the Turkish unemployment rate," Economic Modelling, Elsevier, vol. 72(C), pages 99-108.
    6. Nicoletta Pashourtidou & Christos Papamichael & Charalampos Karagiannakis, 2018. "Forecasting economic activity in sectors of the Cypriot economy," Cyprus Economic Policy Review, University of Cyprus, Economics Research Centre, vol. 12(2), pages 24-66, December.
    7. Gregor Bäurle & Elizabeth Steiner & Gabriel Züllig, 2021. "Forecasting the production side of GDP," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(3), pages 458-480, April.

  39. Bec, F. & Bouabdallah, O. & Ferrara, L., 2011. "The possible shapes of recoveries in Markov-switching models," Working papers 321, Banque de France.

    Cited by:

    1. Zeng, Songlin & Bec, Frédérique, 2015. "Do stock returns rebound after bear markets? An empirical analysis from five OECD countries," Journal of Empirical Finance, Elsevier, vol. 30(C), pages 50-61.
    2. Frédérique Bec & Marie Bessec, 2013. "Inventory Investment Dynamics and Recoveries : A Comparison of Manufacturing and Retail Trade Sectors," Post-Print hal-02979461, HAL.
    3. Menzie Chinn & Laurent Ferrara & Valérie Mignon, 2013. "Post-Recession US Employment through the Lens of a Non-Linear Okun's Law," Working Papers 2013-13, CEPII research center.
    4. Bec Frédérique & Salem Melika Ben, 2013. "Inventory investment and the business cycle: the usual suspect," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(3), pages 335-343, May.
    5. Frédérique Bec & Othman Bouabdallah & Laurent Ferrara, 2014. "The way out of recessions: A forecasting analysis for some Euro area countries," Post-Print hal-02979744, HAL.
    6. Frédérique Bec & Othman Bouabdallah & Laurent Ferrara, 2013. "The European Way out of Recession," Post-Print hal-02980626, HAL.
    7. Gonzalo Castañeda & Luis Castro Peñarrieta, 2022. "A Customized Machine Learning Algorithm for Discovering the Shapes of Recovery: Was the Global Financial Crisis Different?," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 18(1), pages 69-99, March.

  40. Ferrara, L. & Koopman, S J., 2010. "Common business and housing market cycles in the Euro area from a multivariate decomposition," Working papers 275, Banque de France.

    Cited by:

    1. William Miles, 2021. "Scottish home prices: compatible with Euro membership?," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 18(1), pages 3-22, June.
    2. Ales Melecky & Daniel Paksi, 2023. "European Housing Prices Through the Lens of Trends," Prague Economic Papers, Prague University of Economics and Business, vol. 2023(5), pages 488-519.
    3. Fondeur, Y. & Karamé, F., 2013. "Can Google data help predict French youth unemployment?," Economic Modelling, Elsevier, vol. 30(C), pages 117-125.
    4. Laia Maynou & Bruce Morley & Mercedes Monfort & Javier Ordóñez, 2020. "House price convergence Across Europe," Working Papers 2020/07, Economics Department, Universitat Jaume I, Castellón (Spain).
    5. Christophe André, 2010. "A Bird's Eye View of OECD Housing Markets," OECD Economics Department Working Papers 746, OECD Publishing.
    6. Rangan Gupta & Christophe André & Luis Gil-Alana, 2015. "Comovement in Euro area housing prices: A fractional cointegration approach," Urban Studies, Urban Studies Journal Limited, vol. 52(16), pages 3123-3143, December.
    7. Goodness C. Aye & Mehmet Balcilar Author-Name-First Mehmet & Adel Bosch & Rangan Gupta, 2014. "Housing and the Business Cycle in South Africa," Working Papers 15-22, Eastern Mediterranean University, Department of Economics.
    8. Ozdemir Dicle, 2020. "Time-Varying Housing Market Fluctuations: Evidence from the U.S. Housing Market," Real Estate Management and Valuation, Sciendo, vol. 28(2), pages 89-99, June.
    9. Tavakolian , Hossein & Morovat , Habib & Baheri Rad , Diar, 2019. "Housing in Banks’ Portfolio and its Effects on Monetary Policy in Iran," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 14(3), pages 277-315, July.
    10. Maynou, Laia & Monfort, Mercedes & Morley, Bruce & Ordóñez, Javier, 2021. "Club convergence in European housing prices: The role of macroeconomic and housing market fundamentals," Economic Modelling, Elsevier, vol. 103(C).
    11. International Monetary Fund, 2013. "France: Financial Sector Assessment Program—Technical Note on Housing Prices and Financial Stability," IMF Staff Country Reports 2013/184, International Monetary Fund.
    12. William R Miles, 2022. "The northern ireland housing market: would unification with the south be problematic?," Economics Bulletin, AccessEcon, vol. 42(1), pages 162-192.
    13. International Monetary Fund, 2012. "Côte d’Ivoire: Joint Staff Advisory Note on the Progress Report of the Poverty Reduction Strategy Paper," IMF Staff Country Reports 2012/184, International Monetary Fund.
    14. Ferrara, L. & Vigna, O., 2009. "Cyclical relationships between GDP and housing market in France: Facts and factors at play," Working papers 268, Banque de France.

  41. Laurent Ferrara & Dominique Guegan & Zhiping Lu, 2010. "Testing Fractional Order of Long Memory Processes: A Monte Carlo Study," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-00486655, HAL.

    Cited by:

    1. Laurent Ferrara & Dominique Guegan, 2008. "Business surveys modelling with Seasonal-Cyclical Long Memory models," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00283710, HAL.
    2. Laurent Ferrara & Dominique Guegan, 2008. "Business surveys modelling with Seasonal-Cyclical Long Memory models," Post-Print halshs-00277379, HAL.
    3. Dominique Guegan & Zhiping Lu, 2010. "Testing unit roots and long range dependence of foreign exchange," Post-Print halshs-00505117, HAL.
    4. Laurent Ferrara & Dominique Guegan, 2008. "Business surveys modelling with Seasonal-Cyclical Long Memory models," Post-Print halshs-00283710, HAL.

  42. Luis J. Álvarez & Guido Bulligan & Alberto Cabrero & Laurent Ferrara & Harald Stahl, 2010. "Housing Cycles In The Major Euro Area Countries," Occasional Papers 1001, Banco de España.

    Cited by:

    1. Dufrénot, Gilles & Malik, Sheheryar, 2012. "The changing role of house price dynamics over the business cycle," Economic Modelling, Elsevier, vol. 29(5), pages 1960-1967.
    2. William Miles, 2021. "Scottish home prices: compatible with Euro membership?," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 18(1), pages 3-22, June.
    3. Hideaki Hirata & M. Ayhan Kose & Christopher Otrok & Marco E. Terrones, 2012. "Global House Price Fluctuations: Synchronization and Determinants," NBER Chapters, in: NBER International Seminar on Macroeconomics 2012, pages 119-166, National Bureau of Economic Research, Inc.
    4. Sonsoles Gallego & Sándor Gardó & Reiner Martin & Luis Molina & José María Serena, 2010. "The Impact of the Global Economic and Financial Crisis on Central Eastern and SouthEastern Europe (CESEE) and Latin America," Occasional Papers 1002, Banco de España.
    5. Vincent Vicard & Emmanuelle Lavallée, 2013. "National borders matter...where one draws the lines too," Post-Print hal-01548193, HAL.
    6. Miles, William, 2020. "House price convergence in the euro zone: A pairwise approach," Economic Systems, Elsevier, vol. 44(3).
    7. Laia Maynou & Bruce Morley & Mercedes Monfort & Javier Ordóñez, 2020. "House price convergence Across Europe," Working Papers 2020/07, Economics Department, Universitat Jaume I, Castellón (Spain).
    8. Cesa-Bianchi, Ambrogio, 2013. "Housing cycles and macroeconomic fluctuations: A global perspective," Journal of International Money and Finance, Elsevier, vol. 37(C), pages 215-238.
    9. Luis J. Álvarez & Alberto Cabrero, 2010. "Does housing really lead the business cycle?," Working Papers 1024, Banco de España.
    10. Rangan Gupta & Christophe André & Luis Gil-Alana, 2015. "Comovement in Euro area housing prices: A fractional cointegration approach," Urban Studies, Urban Studies Journal Limited, vol. 52(16), pages 3123-3143, December.
    11. Giorgio Canarella & Luis Gil-Alana & Rangan Gupta & Stephen M Miller, 2021. "Persistence and cyclical dynamics of US and UK house prices: Evidence from over 150 years of data," Urban Studies, Urban Studies Journal Limited, vol. 58(1), pages 53-72, January.
    12. Ferrara, L. & Koopman, S J., 2010. "Common business and housing market cycles in the Euro area from a multivariate decomposition," Working papers 275, Banque de France.
    13. Goodness C. Aye & Mehmet Balcilar Author-Name-First Mehmet & Adel Bosch & Rangan Gupta, 2014. "Housing and the Business Cycle in South Africa," Working Papers 15-22, Eastern Mediterranean University, Department of Economics.
    14. Ozdemir Dicle, 2020. "Time-Varying Housing Market Fluctuations: Evidence from the U.S. Housing Market," Real Estate Management and Valuation, Sciendo, vol. 28(2), pages 89-99, June.
    15. Dittmann Iwona, 2017. "Similarity of Changes in Average Prices of Residential Properties in Europe in 2010-2016," Real Estate Management and Valuation, Sciendo, vol. 25(4), pages 63-74, December.
    16. Roma, Moreno & Vetlov, Igor & Maurin, Laurent, 2011. "Profit dynamics across the largest euro area countries and sectors," Working Paper Series 1410, European Central Bank.
    17. Klaus Schmidt-Hebbel, 2011. "Central banking in Latin America: changes, achievements, challenges," Occasional Papers 1102, Banco de España.
    18. Maynou, Laia & Monfort, Mercedes & Morley, Bruce & Ordóñez, Javier, 2021. "Club convergence in European housing prices: The role of macroeconomic and housing market fundamentals," Economic Modelling, Elsevier, vol. 103(C).
    19. de Bandt,O. & Malik, S., 2010. "Is there Evidence of Shift-Contagion in International Housing Markets?," Working papers 295, Banque de France.
    20. Young Il Kim, 2014. "Housing and business cycles in Korea: assessing the role of housing volume cycles," Chapters, in: Susan Wachter & Man Cho & Moon Joong Tcha (ed.), The Global Financial Crisis and Housing, chapter 3, pages 40-61, Edward Elgar Publishing.
    21. Knetsch, Thomas A., 2010. "Trend and cycle features in German residential investment before and after reunification," Discussion Paper Series 1: Economic Studies 2010,10, Deutsche Bundesbank.
    22. Ferrara, L. & Vigna, O., 2009. "Cyclical relationships between GDP and housing market in France: Facts and factors at play," Working papers 268, Banque de France.

  43. Barhoumi, K. & Darné, O. & Ferrara, L., 2009. "Are disaggregate data useful for factor analysis in forecasting French GDP?," Working papers 232, Banque de France.

    Cited by:

    1. Lamprou, Dimitra, 2016. "Nowcasting GDP in Greece: The impact of data revisions and forecast origin on model selection and performance," The Journal of Economic Asymmetries, Elsevier, vol. 14(PA), pages 93-102.
    2. Antipa, Pamfili & Barhoumi, Karim & Brunhes-Lesage, Véronique & Darné, Olivier, 2012. "Nowcasting German GDP: A comparison of bridge and factor models," Journal of Policy Modeling, Elsevier, vol. 34(6), pages 864-878.
    3. Marie Bessec, 2013. "Short‐Term Forecasts of French GDP: A Dynamic Factor Model with Targeted Predictors," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 32(6), pages 500-511, September.
    4. António Rua & Carlos Melo Gouveia & Nuno Lourenço, 2020. "Forecasting tourism with targeted predictors in a data-rich environment," Working Papers w202005, Banco de Portugal, Economics and Research Department.
    5. Chien-jung Ting & Yi-Long Hsiao & Rui-jun Su, 2022. "Application of the Real-Time Tourism Data in Nowcasting the Service Consumption in Taiwan," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 12(4), pages 1-4.
    6. Konstantin S. Rybak, 2023. "Анализ Важности Глобальных Факторов Для Наукастинга Ввп," Russian Economic Development (in Russian), Gaidar Institute for Economic Policy, issue 12, pages 18-23, December.
    7. Catherine Doz & Domenico Giannone & Lucrezia Reichlin, 2006. "A Two-step estimator for large approximate dynamic factor models based on Kalman filtering," THEMA Working Papers 2006-23, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    8. Danilo Cascaldi-Garcia & Matteo Luciani & Michele Modugno, 2023. "Lessons from Nowcasting GDP across the World," International Finance Discussion Papers 1385, Board of Governors of the Federal Reserve System (U.S.).
    9. Daniela Bragoli & Michele Modugno, 2016. "A Nowcasting Model for Canada: Do U.S. Variables Matter?," Finance and Economics Discussion Series 2016-036, Board of Governors of the Federal Reserve System (U.S.).
    10. Bragoli, Daniela, 2017. "Now-casting the Japanese economy," International Journal of Forecasting, Elsevier, vol. 33(2), pages 390-402.
    11. Christian Glocker & Philipp Wegmueller, 2020. "Business cycle dating and forecasting with real-time Swiss GDP data," Empirical Economics, Springer, vol. 58(1), pages 73-105, January.
    12. Bańbura, Marta & Giannone, Domenico & Modugno, Michele & Reichlin, Lucrezia, 2013. "Now-Casting and the Real-Time Data Flow," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 195-237, Elsevier.
    13. Bantis, Evripidis & Clements, Michael P. & Urquhart, Andrew, 2023. "Forecasting GDP growth rates in the United States and Brazil using Google Trends," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1909-1924.
    14. Laurent Ferrara & Anna Simoni, 2020. "When are Google data useful to nowcast GDP? An approach via pre-selection and shrinkage," EconomiX Working Papers 2020-11, University of Paris Nanterre, EconomiX.
    15. Branimir, Jovanovic & Magdalena, Petrovska, 2010. "Forecasting Macedonian GDP: Evaluation of different models for short-term forecasting," MPRA Paper 43162, University Library of Munich, Germany.
    16. Mahmut Günay, 2015. "Forecasting Turkish Industrial Production Growth With Static Factor Models," International Econometric Review (IER), Econometric Research Association, vol. 7(2), pages 64-78, September.
    17. Bellégo, C. & Ferrara, L., 2009. "Forecasting Euro-area recessions using time-varying binary response models for financial," Working papers 259, Banque de France.
    18. Luciani, Matteo & Pundit, Madhavi & Ramayandi, Arief & Veronese , Giovanni, 2015. "Nowcasting Indonesia," ADB Economics Working Paper Series 471, Asian Development Bank.
    19. Bellégo, C. & Ferrara, L., 2012. "Macro-financial linkages and business cycles: A factor-augmented probit approach," Economic Modelling, Elsevier, vol. 29(5), pages 1793-1797.
    20. Zdeněk Zmeškal & Dana Dluhošová & Karolina Lisztwanová & Antonín Pončík & Iveta Ratmanová, 2023. "Distribution Prediction of Decomposed Relative EVA Measure with Levy-Driven Mean-Reversion Processes: The Case of an Automotive Sector of a Small Open Economy," Forecasting, MDPI, vol. 5(2), pages 1-19, May.
    21. Lombardi, Marco J. & Maier, Philipp, 2011. "Forecasting economic growth in the euro area during the Great Moderation and the Great Recession," Working Paper Series 1379, European Central Bank.
    22. Dahlhaus, Tatjana & Guénette, Justin-Damien & Vasishtha, Garima, 2017. "Nowcasting BRIC+M in real time," International Journal of Forecasting, Elsevier, vol. 33(4), pages 915-935.
    23. Françoise Charpin, 2011. "Réévaluation des modèles d’estimation précoce de la croissance," SciencePo Working papers Main hal-03461522, HAL.
    24. Tony Chernis & Rodrigo Sekkel, 2017. "A dynamic factor model for nowcasting Canadian GDP growth," Empirical Economics, Springer, vol. 53(1), pages 217-234, August.
    25. Jason Angelopoulos & Costas I. Chlomoudis, 2017. "A Generalized Dynamic Factor Model for the U.S. Port Sector," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, vol. 67(1), pages 22-37, January-M.
    26. Chatelais, Nicolas & Stalla-Bourdillon, Arthur & Chinn, Menzie D., 2023. "Forecasting real activity using cross-sectoral stock market information," Journal of International Money and Finance, Elsevier, vol. 131(C).
    27. Johanna Garnitz & Robert Lehmann & Klaus Wohlrabe, 2019. "Forecasting GDP all over the world using leading indicators based on comprehensive survey data," CESifo Working Paper Series 7691, CESifo.
    28. Karen Poghosyan, 2015. "Alternative models for forecasting the key macroeconomic variables in Armenia (in Russian)," Quantile, Quantile, issue 13, pages 25-39, May.
    29. 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.).
    30. Matteo Luciani & Lorenzo Ricci, 2014. "Nowcasting Norway," International Journal of Central Banking, International Journal of Central Banking, vol. 10(4), pages 215-248, December.
    31. Alexander Chudik & Valerie Grossman & M. Hashem Pesaran, 2014. "A multi-country approach to forecasting output growth using PMIs," Globalization Institute Working Papers 213, Federal Reserve Bank of Dallas.
    32. Jason Angelopoulos, 2017. "Creating and assessing composite indicators: Dynamic applications for the port industry and seaborne trade," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 19(1), pages 126-159, March.
    33. Porshakov, Alexey & Deryugina, Elena & Ponomarenko, Alexey & Sinyakov, Andrey, 2015. "Nowcasting and short-term forecasting of Russian GDP with a dynamic factor model," BOFIT Discussion Papers 19/2015, Bank of Finland Institute for Emerging Economies (BOFIT).
    34. António Rua, 2016. "A wavelet-based multivariate multiscale approach for forecasting," Working Papers w201612, Banco de Portugal, Economics and Research Department.
    35. Nicolas Chatelais & Arthur Stalla-Bourdillon & Menzie D. Chinn, 2022. "Macroeconomic Forecasting using Filtered Signals from a Stock Market Cross Section," NBER Working Papers 30305, National Bureau of Economic Research, Inc.
    36. Monica Defend & Aleksey Min & Lorenzo Portelli & Franz Ramsauer & Francesco Sandrini & Rudi Zagst, 2021. "Quantifying Drivers of Forecasted Returns Using Approximate Dynamic Factor Models for Mixed-Frequency Panel Data," Forecasting, MDPI, vol. 3(1), pages 1-35, February.
    37. Zubarev Andrey & Rybak Konstantin, 2021. "GDP Nowcasting: Dynamic Factor Model vs. Official Forecasts [Наукастинг Ввп: Динамическая Факторная Модель И Официальные Прогнозы]," Russian Economic Development, Gaidar Institute for Economic Policy, issue 12, pages 34-40, December.
    38. Soybilgen, Barış & Yazgan, Ege, 2018. "Evaluating nowcasts of bridge equations with advanced combination schemes for the Turkish unemployment rate," Economic Modelling, Elsevier, vol. 72(C), pages 99-108.
    39. Stéphanie Guichard & Elena Rusticelli, 2011. "A Dynamic Factor Model for World Trade Growth," OECD Economics Department Working Papers 874, OECD Publishing.
    40. Dimitra Lamprou, 2015. "Nowcasting GDP in Greece: A Note on Forecasting Improvements from the Use of Bridge Models," South-Eastern Europe Journal of Economics, Association of Economic Universities of South and Eastern Europe and the Black Sea Region, vol. 13(1), pages 85-100.
    41. Modugno, Michele & Soybilgen, Barış & Yazgan, Ege, 2016. "Nowcasting Turkish GDP and news decomposition," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1369-1384.
    42. Caruso, Alberto, 2018. "Nowcasting with the help of foreign indicators: The case of Mexico," Economic Modelling, Elsevier, vol. 69(C), pages 160-168.
    43. Bušs, Ginters, 2009. "Comparing forecasts of Latvia's GDP using simple seasonal ARIMA models and direct versus indirect approach," MPRA Paper 16684, University Library of Munich, Germany.
    44. Alain Kabundi & Elmarie Nel & Franz Ruch, 2016. "Nowcasting Real GDP growth in South Africa," Working Papers 54, Economic Research Southern Africa.
    45. , 2020. "Forecasting U.S. Economic Growth in Downturns Using Cross-Country Data," Research Working Paper RWP 20-09, Federal Reserve Bank of Kansas City.
    46. Daniel Armeanu & Jean Vasile Andrei & Leonard Lache & Mirela Panait, 2017. "A multifactor approach to forecasting Romanian gross domestic product (GDP) in the short run," PLOS ONE, Public Library of Science, vol. 12(7), pages 1-23, July.
    47. Andreas Karatahansopoulos & Georgios Sermpinis & Jason Laws & Christian Dunis, 2014. "Modelling and Trading the Greek Stock Market with Gene Expression and Genetic Programing Algorithms," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 33(8), pages 596-610, December.
    48. Alberto Caruso, 2015. "Nowcasting Mexican GDP," Working Papers ECARES ECARES 2015-40, ULB -- Universite Libre de Bruxelles.
    49. Evžen Kočenda & Karen Poghosyan, 2020. "Nowcasting Real GDP Growth: Comparison between Old and New EU Countries," Eastern European Economics, Taylor & Francis Journals, vol. 58(3), pages 197-220, May.
    50. Barış Soybilgen & Ege Yazgan, 2021. "Nowcasting US GDP Using Tree-Based Ensemble Models and Dynamic Factors," Computational Economics, Springer;Society for Computational Economics, vol. 57(1), pages 387-417, January.
    51. Alberto Caruso, 2018. "Macroeconomic News and Market Reaction: Surprise Indexes meet Nowcasting," Working Papers ECARES 2018-06, ULB -- Universite Libre de Bruxelles.
    52. Charalampos Stasinakis & Georgios Sermpinis & Konstantinos Theofilatos & Andreas Karathanasopoulos, 2016. "Forecasting US Unemployment with Radial Basis Neural Networks, Kalman Filters and Support Vector Regressions," Computational Economics, Springer;Society for Computational Economics, vol. 47(4), pages 569-587, April.
    53. Baris Soybilgen, 2017. "Identifying Us Business Cycle Regimes Using Factor Augmented Neural Network Models," Working Papers 1703, The Center for Financial Studies (CEFIS), Istanbul Bilgi University.
    54. Мекенбаева Камила // Mekenbayeva Kamila & Karel Musil, 2017. "Система прогнозирования в Национальном Банке Казахстана: наукаст на основа опросов // Forecasting system at the National Bank of Kazakhstan: survey-based nowcasting," Working Papers #2017-1, National Bank of Kazakhstan.
    55. Branimir Jovanovic & Magdalena Petrovska, 2010. "Forecasting Macedonian GDP: Evaluation of different models for short-term forecasting," Working Papers 2010-02, National Bank of the Republic of North Macedonia, revised Aug 2010.
    56. Tjeerd M. Boonman & Jan P. A. M. Jacobs & Gerard H. Kuper, 2017. "An Early Warning System for currency crises in Argentina and Brazil 1990-2009," EconoQuantum, Revista de Economia y Finanzas, Universidad de Guadalajara, Centro Universitario de Ciencias Economico Administrativas, Departamento de Metodos Cuantitativos y Maestria en Economia., vol. 14(2), pages 47-68, Julio-Dic.
    57. Chien-jung Ting & Yi-Long Hsiao, 2022. "Nowcasting the GDP in Taiwan and the Real-Time Tourism Data," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 12(3), pages 1-2.
    58. Lourenço, Nuno & Gouveia, Carlos Melo & Rua, António, 2021. "Forecasting tourism with targeted predictors in a data-rich environment," Economic Modelling, Elsevier, vol. 96(C), pages 445-454.
    59. Brunhes-Lesage, Véronique & Darné, Olivier, 2012. "Nowcasting the French index of industrial production: A comparison from bridge and factor models," Economic Modelling, Elsevier, vol. 29(6), pages 2174-2182.
    60. Zhang, Qin & Ni, He & Xu, Hao, 2023. "Nowcasting Chinese GDP in a data-rich environment: Lessons from machine learning algorithms," Economic Modelling, Elsevier, vol. 122(C).
    61. Christophe Bellégo & Laurent Ferrara, 2010. "A factor-augmented probit model for business cycle analysis," EconomiX Working Papers 2010-14, University of Paris Nanterre, EconomiX.
    62. Michael H. Breitner & Christian Dunis & Hans-Jörg Mettenheim & Christopher Neely & Georgios Sermpinis & Georgios Sermpinis & Charalampos Stasinakis & Konstantinos Theofilatos & Andreas Karathanasopoul, 2014. "Inflation and Unemployment Forecasting with Genetic Support Vector Regression," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 33(6), pages 471-487, September.
    63. Garnitz, Johanna & Lehmann, Robert & Wohlrabe, Klaus, 2017. "Forecasting GDP all over the World: Evidence from Comprehensive Survey Data," MPRA Paper 81772, University Library of Munich, Germany.
    64. Françoise Charpin, 2011. "Réévaluation des modèles d’estimation précoce de la croissance," Sciences Po publications info:hdl:2441/eu4vqp9ompq, Sciences Po.
    65. C. Marsilli, 2014. "Variable Selection in Predictive MIDAS Models," Working papers 520, Banque de France.
    66. Anna Norin, 2011. "Nowcasting of the Gross Regional Product," ERSA conference papers ersa10p768, European Regional Science Association.
    67. Barhoumi, K. & Darné, O. & Ferrara, L., 2013. "Dynamic Factor Models: A review of the Literature ," Working papers 430, Banque de France.
    68. Zubarev Andrey & Rybak Konstantin, 2021. "Наукастинг Ввп: Динамическая Факторная Модель И Официальные Прогнозы," Russian Economic Development (in Russian), Gaidar Institute for Economic Policy, issue 12, pages 34-40, December.
    69. Tjeerd M. Boonman & Jan P.A.M. Jacobs & Gerard H. Kuper, 2011. "Why didn't the Global Financial Crisis hit Latin America?," CIRANO Working Papers 2011s-63, CIRANO.
    70. Françoise Charpin, 2011. "Réévaluation des modèles d’estimation précoce de la croissance," Post-Print hal-03461522, HAL.
    71. Dias, Francisco & Pinheiro, Maximiano & Rua, António, 2015. "Forecasting Portuguese GDP with factor models: Pre- and post-crisis evidence," Economic Modelling, Elsevier, vol. 44(C), pages 266-272.
    72. Konstantin S. Rybak, 2023. "Evaluating the Role of Global Factors in GDP Nowcasting [Анализ Важности Глобальных Факторов Для Наукастинга Ввп]," Russian Economic Development, Gaidar Institute for Economic Policy, issue 12, pages 18-23, December.
    73. Ard Reijer & Andreas Johansson, 2019. "Nowcasting Swedish GDP with a large and unbalanced data set," Empirical Economics, Springer, vol. 57(4), pages 1351-1373, October.
    74. Urasawa, Satoshi, 2014. "Real-time GDP forecasting for Japan: A dynamic factor model approach," Journal of the Japanese and International Economies, Elsevier, vol. 34(C), pages 116-134.
    75. Ibarra, Raul, 2012. "Do disaggregated CPI data improve the accuracy of inflation forecasts?," Economic Modelling, Elsevier, vol. 29(4), pages 1305-1313.

  44. Monica Billio & Laurent Ferrara & Dominique Guegan & Gian Luigi Mazzi, 2009. "Evaluation of Nonlinear time-series models for real-time business cycle analysis of the Euro area," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00423890, HAL.

    Cited by:

    1. Monica Billio & Roberto Casarin & Francesco Ravazzolo & Herman K. van Dijk, 2013. "Interactions between Eurozone and US Booms and Busts: A Bayesian Panel Markov-switching VAR Model," Tinbergen Institute Discussion Papers 13-142/III, Tinbergen Institute, revised 01 Nov 2014.
    2. Peter Martey Addo & Monica Billio & Dominique Guegan, 2012. "Studies in Nonlinear Dynamics and Wavelets for Business Cycle Analysis," Documents de travail du Centre d'Economie de la Sorbonne 12023r, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, revised Nov 2013.

  45. Laurent Ferrara & Dominique Guegan & Patrick Rakotomarolahy, 2009. "GDP nowcasting with ragged-edge data : A semi-parametric modelling," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00344839, HAL.

    Cited by:

    1. A. Girardi & R. Golinelli & C. Pappalardo, 2014. "The Role of Indicator Selection in Nowcasting Euro Area GDP in Pseudo Real Time," Working Papers wp919, Dipartimento Scienze Economiche, Universita' di Bologna.
    2. Fondeur, Y. & Karamé, F., 2013. "Can Google data help predict French youth unemployment?," Economic Modelling, Elsevier, vol. 30(C), pages 117-125.
    3. Enrico D’Elia & Francesca Faedda & Giacomo Giannone, 2020. "Un modello statistico per il monitoraggio delle entrate tributarie (MoME)," Working Papers wp2020-5, Ministry of Economy and Finance, Department of Finance.
    4. Pablo Guerróon‐Quintana & Molin Zhong, 2023. "Macroeconomic forecasting in times of crises," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(3), pages 295-320, April.
    5. Dominique Guegan & Patrick Rakotomarolahy, 2010. "Alternative methods for forecasting GDP," PSE-Ecole d'économie de Paris (Postprint) halshs-00511979, HAL.
    6. Nikolaos Askitas & Klaus F. Zimmermann, 2013. "Nowcasting Business Cycles Using Toll Data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 32(4), pages 299-306, July.
    7. Dominique Guegan & Patrick Rakotomarolahy, 2010. "Alternative methods for forecasting GDP," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00505165, HAL.
    8. Lenza Michele & Warmedinger Thomas, 2011. "A Factor Model for Euro-area Short-term Inflation Analysis," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 231(1), pages 50-62, February.
    9. Christian Gayer & Bertrand Marc, 2018. "A ‘New Modesty’? Level Shifts in Survey Data and the Decreasing Trend of ‘Normal’ Growth," European Economy - Discussion Papers 083, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    10. Jennifer Castle & David Hendry & Oleg Kitov, 2013. "Forecasting and Nowcasting Macroeconomic Variables: A Methodological Overview," Economics Series Working Papers 674, University of Oxford, Department of Economics.
    11. Dominique Guegan & Patrick Rakotomarolahy, 2010. "Alternative methods for forecasting GDP," Post-Print halshs-00511979, HAL.
    12. Emilian DOBRESCU, 2020. "Self-fulfillment degree of economic expectations within an integrated space: The European Union case study," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 5-32, December.
    13. Dominique Guegan & Patrick Rakotomarolahy, 2010. "Alternative methods for forecasting GDP," Post-Print halshs-00505165, HAL.
    14. Jana Juriová, 2015. "The role of foreign sentiment in small open economy," International Journal of Economic Sciences, International Institute of Social and Economic Sciences, vol. 4(2), pages 57-68, June.

  46. Bellégo, C. & Ferrara, L., 2009. "Forecasting Euro-area recessions using time-varying binary response models for financial," Working papers 259, Banque de France.

    Cited by:

    1. Laurent Ferrara & Clément Marsilli, 2012. "Financial variables as leading indicators of GDP growth: Evidence from a MIDAS approach during the Great Recession," Working Papers hal-04141077, HAL.
    2. Barış Soybilgen, 2020. "Identifying US business cycle regimes using dynamic factors and neural network models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(5), pages 827-840, August.
    3. Goodhead, Robert & Parle, Conor, 2019. "Predicting Recessions in the Euro Area: A Factor Approach," Economic Letters 2/EL/19, Central Bank of Ireland.
    4. Jean-Baptiste Hasse & Quentin Lajaunie, 2020. "Does the Yield Curve Signal Recessions? New Evidence from an International Panel Data Analysis," AMSE Working Papers 2013, Aix-Marseille School of Economics, France.
    5. Vincent Vicard & Emmanuelle Lavallée, 2013. "National borders matter...where one draws the lines too," Post-Print hal-01548193, HAL.
    6. Kajal Lahiri & Cheng Yang, 2023. "A tale of two recession-derivative indicators," Empirical Economics, Springer, vol. 65(2), pages 925-947, August.
    7. Bellégo, C. & Ferrara, L., 2012. "Macro-financial linkages and business cycles: A factor-augmented probit approach," Economic Modelling, Elsevier, vol. 29(5), pages 1793-1797.
    8. Ralf Fendel & Nicola Mai & Oliver Mohr, 2021. "Recession probabilities for the Eurozone at the zero lower bound: Challenges to the term spread and rise of alternatives," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(6), pages 1000-1026, September.
    9. Soybilgen, Baris, 2018. "Identifying US business cycle regimes using dynamic factors and neural network models," MPRA Paper 94715, University Library of Munich, Germany.
    10. Fornari, Fabio & Lemke, Wolfgang, 2010. "Predicting recession probabilities with financial variables over multiple horizons," Working Paper Series 1255, European Central Bank.
    11. Carsten Jentsch & Lena Reichmann, 2019. "Generalized Binary Time Series Models," Econometrics, MDPI, vol. 7(4), pages 1-26, December.
    12. Adrian Pagan & Don Harding, 2011. "Econometric Analysis and Prediction of Recurrent Events," CREATES Research Papers 2011-33, Department of Economics and Business Economics, Aarhus University.
    13. Baris Soybilgen, 2017. "Identifying Us Business Cycle Regimes Using Factor Augmented Neural Network Models," Working Papers 1703, The Center for Financial Studies (CEFIS), Istanbul Bilgi University.
    14. Pirschel, Inske, 2016. "Forecasting euro area recessions in real-time," Kiel Working Papers 2020, Kiel Institute for the World Economy (IfW Kiel).
    15. Christophe Bellégo & Laurent Ferrara, 2010. "A factor-augmented probit model for business cycle analysis," EconomiX Working Papers 2010-14, University of Paris Nanterre, EconomiX.
    16. Gunnar Bårdsen & Stan Hurn & Kenneth Lindsay, 2019. "Modelling and forecasting wind drought," Working Paper Series 18219, Department of Economics, Norwegian University of Science and Technology.
    17. Pirschel, Inske, 2015. "Forecasting Euro Area Recessions in real-time with a mixed-frequency Bayesian VAR," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113031, Verein für Socialpolitik / German Economic Association.
    18. Barhoumi, K. & Darné, O. & Ferrara, L., 2013. "Dynamic Factor Models: A review of the Literature ," Working papers 430, Banque de France.

  47. Darné, O. & Ferrara, L., 2009. "Identification of slowdowns and accelerations for the euro area economy," Working papers 239, Banque de France.

    Cited by:

    1. Ataman Ozyildirim & Brian Schaitkin & Victor Zarnowitz, 2008. "Business Cycles in the Euro Area Defined with Coincident Economic Indicators and Predicted with Leading Economic Indicators," Economics Program Working Papers 08-04, The Conference Board, Economics Program.
    2. Patrick Fève & Julien Matheron & Jean‐Guillaume Sahuc, 2009. "Minimum Distance Estimation and Testing of DSGE Models from Structural VARs," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(6), pages 883-894, December.
    3. Amélie Charles & Olivier Darné & Claude Diebolt & Laurent Ferrara, 2012. "A new monthly chronology of the US industrial cycles in the prewar economy," Working Papers 12-02, Association Française de Cliométrie (AFC).
    4. Aastveit, Knut Are & Jore, Anne Sofie & Ravazzolo, Francesco, 2016. "Identification and real-time forecasting of Norwegian business cycles," International Journal of Forecasting, Elsevier, vol. 32(2), pages 283-292.
    5. Monfort, A., 2009. "Optimal Portfolio Allocation under Asset and Surplus VaR Constraints," Working papers 251, Banque de France.
    6. Knut Are Aastveit & André K. Anundsen & Eyo I. Herstad, 2017. "Residential investment and recession predictability," Working Paper 2017/24, Norges Bank.
    7. Laurent Ferrara & Olivier Darné & Karim Barhoumi, 2016. "A world trade leading index (WLTI)," Post-Print hal-01635948, HAL.
    8. Monica Billio & Roberto Casarin, 2010. "Bayesian Estimation of Stochastic-Transition Markov-Switching Models for Business Cycle Analysis," Working Papers 1002, University of Brescia, Department of Economics.
    9. Catherine Doz & Anna Petronevich, 2016. "Dating Business Cycle Turning Points for the French Economy: An MS-DFM approach," Advances in Econometrics, in: Dynamic Factor Models, volume 35, pages 481-538, Emerald Group Publishing Limited.
    10. Christian R. Proaño & Artur Tarassow, 2017. "Evaluating the predicting power of ordered probit models for multiple business cycle phases in the U.S. and Japan," IMK Working Paper 188-2017, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    11. Shiu-Sheng, Chen, 2012. "Predicting swings in exchange rates with macro fundamentals," MPRA Paper 35772, University Library of Munich, Germany.
    12. Proaño, Christian R. & Theobald, Thomas, 2014. "Predicting recessions with a composite real-time dynamic probit model," International Journal of Forecasting, Elsevier, vol. 30(4), pages 898-917.
    13. Barhoumi, K. & Darné, O. & Ferrara, L., 2013. "Dynamic Factor Models: A review of the Literature ," Working papers 430, Banque de France.
    14. Amélie Charles & Olivier Darné, 2015. "Identifying and characterizing business and acceleration cycles of French jobseekers Identifying and characterizing business and acceleration cycles of French jobseekers," Working Papers hal-01160090, HAL.
    15. Ferrara, L. & Vigna, O., 2009. "Cyclical relationships between GDP and housing market in France: Facts and factors at play," Working papers 268, Banque de France.

  48. Ferrara, L. & Vigna, O., 2009. "Cyclical relationships between GDP and housing market in France: Facts and factors at play," Working papers 268, Banque de France.

    Cited by:

    1. Dufrénot, Gilles & Malik, Sheheryar, 2012. "The changing role of house price dynamics over the business cycle," Economic Modelling, Elsevier, vol. 29(5), pages 1960-1967.
    2. Vincent Vicard & Emmanuelle Lavallée, 2013. "National borders matter...where one draws the lines too," Post-Print hal-01548193, HAL.
    3. Monica Billio & Anna Petronevich, 2017. "Dynamical Interaction between Financial and Business Cycles," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01692239, HAL.
    4. Giorgio Canarella & Luis Gil-Alana & Rangan Gupta & Stephen M Miller, 2021. "Persistence and cyclical dynamics of US and UK house prices: Evidence from over 150 years of data," Urban Studies, Urban Studies Journal Limited, vol. 58(1), pages 53-72, January.
    5. Goodness C. Aye & Mehmet Balcilar Author-Name-First Mehmet & Adel Bosch & Rangan Gupta, 2014. "Housing and the Business Cycle in South Africa," Working Papers 15-22, Eastern Mediterranean University, Department of Economics.

  49. Ferrara, L. & Guégan, D., 2008. "Business surveys modelling with Seasonal-Cyclical Long Memory models," Working papers 224, Banque de France.

    Cited by:

    1. Artiach, Miguel & Arteche, Josu, 2012. "Doubly fractional models for dynamic heteroscedastic cycles," Computational Statistics & Data Analysis, Elsevier, vol. 56(6), pages 2139-2158.
    2. Artiach, Miguel, 2012. "Leverage, skewness and amplitude asymmetric cycles," MPRA Paper 41267, University Library of Munich, Germany.

  50. Barhoumi, K. & Brunhes-Lesage, V. & Darné, O. & Ferrara, L. & Pluyaud, B. & Rouvreau, B., 2008. "Monthly forecasting of French GDP: A revised version of the OPTIM model," Working papers 222, Banque de France.

    Cited by:

    1. Robert Lehmann, 2016. "Economic Growth and Business Cycle Forecasting at the Regional Level," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 65.
    2. Marie Bessec, 2013. "Short‐Term Forecasts of French GDP: A Dynamic Factor Model with Targeted Predictors," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 32(6), pages 500-511, September.
    3. Katja Drechsel & Dr. Rolf Scheufele, 2012. "Bottom-up or Direct? Forecasting German GDP in a Data-rich Environment," Working Papers 2012-16, Swiss National Bank.
    4. Patrick C. Higgins, 2014. "GDPNow: A Model for GDP \"Nowcasting\"," FRB Atlanta Working Paper 2014-7, Federal Reserve Bank of Atlanta.
    5. Robert Lehmann & Klaus Wohlrabe, 2013. "Forecasting gross value-added at the regional level: Are sectoral disaggregated predictions superior to direct ones?," ifo Working Paper Series 171, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    6. Marie Adanero-Donderis & Olivier Darné & Laurent Ferrara, 2009. "Un indicateur probabiliste du cycle d’accélération pour l’économie française," Économie et Prévision, Programme National Persée, vol. 189(3), pages 95-114.
    7. Paulo Esteves, 2011. "Direct vs bottom-up approach when forecasting GDP: reconciling literature results with institutional practice," Working Papers w201129, Banco de Portugal, Economics and Research Department.
    8. Ferrara, L., 2008. "The contribution of cyclical turning point indicators to business cycle analysis," Quarterly selection of articles - Bulletin de la Banque de France, Banque de France, issue 13, pages 49-61, Autumn.
    9. Marie Bessec, 2010. "Etalonnages du taux de croissance du PIB français sur la base des enquêtes de conjoncture," Economie & Prévision, La Documentation Française, vol. 0(2), pages 77-99.
    10. Guido Bulligan & Massimiliano Marcellino & Fabrizio Venditti, 2012. "Forecasting economic activity with higher frequency targeted predictors," Temi di discussione (Economic working papers) 847, Bank of Italy, Economic Research and International Relations Area.
    11. Tomasz Jasiński & Paweł Mielcarz, 2013. "Consumption as a Factor of Polish Economic Growth During the Global Recession of 2008/2009: A Comparison with Spain and Hungary," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 7(2), June.
    12. Barhoumi, K. & Brunhes-Lesage, V. & Ferrara, L. & Pluyaud, B. & Rouvreau, B. & Darné, O., 2008. "OPTIM: a quarterly forecasting tool for French GDP," Quarterly selection of articles - Bulletin de la Banque de France, Banque de France, issue 13, pages 31-47, Autumn.
    13. Bulligan, Guido & Marcellino, Massimiliano & Venditti, Fabrizio, 2015. "Forecasting economic activity with targeted predictors," International Journal of Forecasting, Elsevier, vol. 31(1), pages 188-206.

  51. Monica Billio & Jacques Anas & Laurent Ferrara & Marco Lo Duca, 2007. "A turning point chronology for the Euro-zone," Working Papers 2007_33, Department of Economics, University of Venice "Ca' Foscari".

    Cited by:

    1. Darné, O. & Ferrara, L., 2009. "Identification of slowdowns and accelerations for the euro area economy," Working papers 239, Banque de France.
    2. Amélie Charles & Olivier Darné & Claude Diebolt & Laurent Ferrara, 2012. "A new monthly chronology of the US industrial cycles in the prewar economy," Working Papers 12-02, Association Française de Cliométrie (AFC).
    3. Monica Billio & Laurent Ferrara & Dominique Guegan & Gian Luigi Mazzi, 2009. "Evaluation of Nonlinear time-series models for real-time business cycle analysis of the Euro area," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00423890, HAL.
    4. Marie Adanero-Donderis & Olivier Darné & Laurent Ferrara, 2009. "Un indicateur probabiliste du cycle d’accélération pour l’économie française," Économie et Prévision, Programme National Persée, vol. 189(3), pages 95-114.
    5. Laurent Ferrara & Dominique Guegan, 2006. "Real-time detection of the business cycle using SETAR models," Post-Print halshs-00185372, HAL.
    6. Monica Billio & Massimiliano Caporin & Guido Cazzavillan, 2008. "Dating EU15 monthly business cycle jointly using GDP and IPI," Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2007(3), pages 333-366.
    7. Ferrara, L., 2008. "The contribution of cyclical turning point indicators to business cycle analysis," Quarterly selection of articles - Bulletin de la Banque de France, Banque de France, issue 13, pages 49-61, Autumn.
    8. Bellégo, C. & Ferrara, L., 2009. "Forecasting Euro-area recessions using time-varying binary response models for financial," Working papers 259, Banque de France.
    9. Bellégo, C. & Ferrara, L., 2012. "Macro-financial linkages and business cycles: A factor-augmented probit approach," Economic Modelling, Elsevier, vol. 29(5), pages 1793-1797.
    10. Peter Martey Addo & Monica Billio & Dominique Guegan, 2013. "Turning point chronology for the Euro-Zone: A Distance Plot Approach," Post-Print halshs-00803457, HAL.
    11. Antonin Aviat & Frédérique Bec & Claude Diebolt & Catherine Doz & Denis Ferrand & Laurent Ferrara & Eric Heyer & Valérie Mignon & Pierre-Alain Pionnier, 2021. "Dating business cycles in France: A reference chronology," Working Papers hal-04159735, HAL.
    12. Fathi Elachhab, 2009. "Décrire le cycle économique en Tunisie," Économie et Prévision, Programme National Persée, vol. 189(3), pages 75-92.
    13. Catherine Doz & Anna Petronevich, 2016. "Dating Business Cycle Turning Points for the French Economy: An MS-DFM approach," Advances in Econometrics, in: Dynamic Factor Models, volume 35, pages 481-538, Emerald Group Publishing Limited.
    14. Monica Billio & Roberto Casarin & Francesco Ravazzolo & Herman K. van Dijk, 2011. "Combination Schemes for Turning Point Predictions," Tinbergen Institute Discussion Papers 11-123/4, Tinbergen Institute.
    15. Agnieszka Gehringer & Thomas Mayer, 2021. "Measuring the Business Cycle Chronology with a Novel Business Cycle Indicator for Germany," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 17(1), pages 71-89, April.
    16. Monica Billio & Jacques Anas & Laurent Ferrara & Marco Lo Duca, 2007. "Business Cycle Analysis with Multivariate Markov Switching Models," Working Papers 2007_32, Department of Economics, University of Venice "Ca' Foscari".
    17. Charlotte Le Chapelain, 2012. "Allocation des talents et accumulation de capital humain en France à la fin du XIXe siècle," Working Papers 12-03, Association Française de Cliométrie (AFC).
    18. Christophe Bellégo & Laurent Ferrara, 2010. "A factor-augmented probit model for business cycle analysis," EconomiX Working Papers 2010-14, University of Paris Nanterre, EconomiX.
    19. Amélie Charles & Olivier Darné, 2015. "Identifying and characterizing business and acceleration cycles of French jobseekers Identifying and characterizing business and acceleration cycles of French jobseekers," Working Papers hal-01160090, HAL.
    20. Ferrara, L. & Vigna, O., 2009. "Cyclical relationships between GDP and housing market in France: Facts and factors at play," Working papers 268, Banque de France.

  52. Adanero-Donderis , M. & Darné, O. & Ferrara, L., 2007. "Deux indicateurs probabilistes de retournement cyclique pour l’économie française," Working papers 187, Banque de France.

    Cited by:

    1. Ferrara, L., 2008. "The contribution of cyclical turning point indicators to business cycle analysis," Quarterly selection of articles - Bulletin de la Banque de France, Banque de France, issue 13, pages 49-61, Autumn.

  53. Monica Billio & Jacques Anas & Laurent Ferrara & Marco Lo Duca, 2007. "Business Cycle Analysis with Multivariate Markov Switching Models," Working Papers 2007_32, Department of Economics, University of Venice "Ca' Foscari".

    Cited by:

    1. Monica Billio & Laurent Ferrara & Dominique Guegan & Gian Luigi Mazzi, 2009. "Evaluation of Nonlinear time-series models for real-time business cycle analysis of the Euro area," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00423890, HAL.
    2. Danilo Leiva-Leon, 2014. "A New Approach to Infer Changes in the Synchronization of Business Cycle Phases," Staff Working Papers 14-38, Bank of Canada.
    3. Gallo, Giampiero M. & Otranto, Edoardo, 2008. "Volatility spillovers, interdependence and comovements: A Markov Switching approach," Computational Statistics & Data Analysis, Elsevier, vol. 52(6), pages 3011-3026, February.
    4. Monica Billio & Anna Petronevich, 2017. "Dynamical Interaction between Financial and Business Cycles," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01692239, HAL.
    5. Danilo Leiva-Leon, 2017. "Measuring business cycles intra-synchronization in us: a regime-switching interdependence framework," Working Papers 1726, Banco de España.
    6. Monica Billio & Roberto Casarin & Francesco Ravazzolo & Herman K. van Dijk, 2011. "Combination Schemes for Turning Point Predictions," Tinbergen Institute Discussion Papers 11-123/4, Tinbergen Institute.
    7. Fady Barsoum & Sandra Stankiewicz, 2013. "Forecasting GDP Growth Using Mixed-Frequency Models With Switching Regimes," Working Paper Series of the Department of Economics, University of Konstanz 2013-10, Department of Economics, University of Konstanz.
    8. Richard Apau & Peter Moores-Pitt & Paul-Francois Muzindutsi, 2021. "Regime-Switching Determinants of Mutual Fund Performance in South Africa," Economies, MDPI, vol. 9(4), pages 1-20, October.
    9. Monica Billio & Roberto Casarin, 2008. "Identifying Business Cycle Turning Points with Sequential Monte Carlo Methods," Working Papers 0815, University of Brescia, Department of Economics.

  54. Laurent Ferrara & Dominique Guegan, 2006. "Fractional seasonality: Models and Application to Economic Activity in the Euro Area," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00185370, HAL.

    Cited by:

    1. Dominique Guegan, 2007. "Global and local stationary modelling in finance: theory and empirical evidence," Post-Print halshs-00187875, HAL.
    2. Laurent Ferrara & Dominique Guegan, 2008. "Business surveys modelling with Seasonal-Cyclical Long Memory models," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00283710, HAL.
    3. Dominique Guegan & Laurent Ferrara, 2008. "Fractional and seasonal filtering," PSE-Ecole d'économie de Paris (Postprint) halshs-00646178, HAL.
    4. Laurent Ferrara & Dominique Guegan, 2008. "Business surveys modelling with Seasonal-Cyclical Long Memory models," Post-Print halshs-00277379, HAL.
    5. Laurent Ferrara & Dominique Guegan, 2008. "Business surveys modelling with Seasonal-Cyclical Long Memory models," Post-Print halshs-00283710, HAL.

  55. Dominique Guegan & Laurent Ferrara, 2005. "Detection of the Industrial Business Cycle using SETAR models," Post-Print halshs-00201309, HAL.

    Cited by:

    1. Monica Billio & Laurent Ferrara & Dominique Guegan & Gian Luigi Mazzi, 2009. "Evaluation of Nonlinear time-series models for real-time business cycle analysis of the Euro area," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00423890, HAL.
    2. Aastveit, Knut Are & Jore, Anne Sofie & Ravazzolo, Francesco, 2016. "Identification and real-time forecasting of Norwegian business cycles," International Journal of Forecasting, Elsevier, vol. 32(2), pages 283-292.
    3. Knut Are Aastveit & André K. Anundsen & Eyo I. Herstad, 2017. "Residential investment and recession predictability," Working Paper 2017/24, Norges Bank.
    4. Roque Montero, 2011. "Does linearity in the dynamics of inflation gap and unemployment rate matter?," Working Papers Central Bank of Chile 614, Central Bank of Chile.
    5. Singh, Tarlok, 2014. "On the regime-switching and asymmetric dynamics of economic growth in the OECD countries," Research in Economics, Elsevier, vol. 68(2), pages 169-192.
    6. Lanouar Charfeddine & Dominique Guegan, 2008. "Is it possible to discriminate between different switching regressions models? An empirical investigation," Post-Print halshs-00368358, HAL.

  56. Anas, Jacques & Ferrara, Laurent, 2002. "Un indicateur d'entrée et sortie de récession: application aux Etats-Unis [A start-end recession index: Application for United-States]," MPRA Paper 4043, University Library of Munich, Germany.

    Cited by:

    1. Benoit Bellone, 2005. "Classical Estimation of Multivariate Markov-Switching Models using MSVARlib," Econometrics 0508017, University Library of Munich, Germany.
    2. Laurent Ferrara & Dominique Guegan, 2006. "Real-time detection of the business cycle using SETAR models," Post-Print halshs-00185372, HAL.
    3. Benoit Bellone & David Saint-Martin, 2004. "Detecting Turning Points with Many Predictors through Hidden Markov Models," Econometrics 0407001, University Library of Munich, Germany.
    4. Ferrara, Laurent, 2003. "A three-regime real-time indicator for the US economy," Economics Letters, Elsevier, vol. 81(3), pages 373-378, December.
    5. Benoit Bellone, 2004. "Une lecture probabiliste du cycle d’affaires américain," Econometrics 0407002, University Library of Munich, Germany, revised 28 Mar 2005.
    6. Ferrara, Laurent, 2006. "A real-time recession indicator for the Euro area," MPRA Paper 4042, University Library of Munich, Germany.
    7. Lahiani, A. & Scaillet, O., 2009. "Testing for threshold effect in ARFIMA models: Application to US unemployment rate data," International Journal of Forecasting, Elsevier, vol. 25(2), pages 418-428.
    8. Monica Billio & Jacques Anas & Laurent Ferrara & Marco Lo Duca, 2007. "A turning point chronology for the Euro-zone," Working Papers 2007_33, Department of Economics, University of Venice "Ca' Foscari".
    9. Bellone, B. & Gautier, E. & Le Coent, S., 2005. "Les marchés financiers anticipent-ils les retournements conjoncturels?," Working papers 128, Banque de France.
    10. Monica Billio & Jacques Anas & Laurent Ferrara & Marco Lo Duca, 2007. "Business Cycle Analysis with Multivariate Markov Switching Models," Working Papers 2007_32, Department of Economics, University of Venice "Ca' Foscari".
    11. Benoît Bellone, 2006. "Une lecture probabiliste du cycle d’affaires américain," Économie et Prévision, Programme National Persée, vol. 172(1), pages 63-81.
    12. Benoit Bellone, 2004. "MSVARlib: a new Gauss library to estimate multivariate Hidden Markov Models," Econometrics 0406004, University Library of Munich, Germany.

  57. Laurent Ferrara & Dominique Guegan, 2001. "Forecasting with k-factor Gegenbauer Processes: Theory and Applications," Post-Print halshs-00193667, HAL.

    Cited by:

    1. McCoy, E. J. & Stephens, D. A., 2004. "Bayesian time series analysis of periodic behaviour and spectral structure," International Journal of Forecasting, Elsevier, vol. 20(4), pages 713-730.
    2. Guglielmo Maria Caporale & Juncal Cunado & Luis A. Gil-Alana, 2008. "Modelling Long-Run Trends and Cycles in Financial Time Series Data," CESifo Working Paper Series 2330, CESifo.
    3. Diongue, Abdou Kâ & Guégan, Dominique & Vignal, Bertrand, 2009. "Forecasting electricity spot market prices with a k-factor GIGARCH process," Applied Energy, Elsevier, vol. 86(4), pages 505-510, April.
    4. Luis A. Gil-Alana & Rangan Gupta, 2013. "Persistence and Cycles in Historical Oil Prices Data," Working Papers 201375, University of Pretoria, Department of Economics.
    5. Maria Caporale, Guglielmo & A. Gil-Alana, Luis, 2011. "Multi-Factor Gegenbauer Processes and European Inflation Rates," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 26, pages 386-409.
    6. Manabu Asai & Shelton Peiris & Michael McAleer & David E. Allen, 2018. "Cointegrated Dynamics for A Generalized Long Memory Process: An Application to Interest Rates," Documentos de Trabajo del ICAE 2018-22, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    7. Laurent Ferrara & Dominique Guegan, 2008. "Business surveys modelling with Seasonal-Cyclical Long Memory models," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00283710, HAL.
    8. Dominique Guegan, 2005. "How can we Define the Concept of Long Memory? An Econometric Survey," Econometric Reviews, Taylor & Francis Journals, vol. 24(2), pages 113-149.
    9. Guglielmo Maria Caporale & Luis A. Gil-Alana, 2011. "Long Memory and Volatility Dynamics in the US Dollar Exchange Rate," Faculty Working Papers 04/11, School of Economics and Business Administration, University of Navarra.
    10. Juan Carlos Cuestas & Luis A. Gil-Alana, 2012. "A Non-Linear Approach with Long Range Dependence Based on Chebyshev Polynomials," Working Papers 2012013, The University of Sheffield, Department of Economics.
    11. Soares, Lacir Jorge & Souza, Leonardo Rocha, 2006. "Forecasting electricity demand using generalized long memory," International Journal of Forecasting, Elsevier, vol. 22(1), pages 17-28.
    12. Dominique Guegan & Bertrand K. Hassani, 2019. "Risk Measurement," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-02119256, HAL.
    13. L.A. Gil-Alanaa, 2007. "Testing The Existence of Multiple Cycles in Financial and Economic Time Series," Annals of Economics and Finance, Society for AEF, vol. 8(1), pages 1-20, May.
    14. M. Shelton Peiris & Manabu Asai, 2016. "Generalized Fractional Processes with Long Memory and Time Dependent Volatility Revisited," Econometrics, MDPI, vol. 4(3), pages 1-21, September.
    15. Proietti, Tommaso & Maddanu, Federico, 2024. "Modelling cycles in climate series: The fractional sinusoidal waveform process," Journal of Econometrics, Elsevier, vol. 239(1).
    16. Dominique Guegan & Laurent Ferrara, 2008. "Fractional and seasonal filtering," PSE-Ecole d'économie de Paris (Postprint) halshs-00646178, HAL.
    17. L.A. Gil-Alana & G.M. caporale, 2004. "Long-run and Cyclical Dynamics in the US Stock Market," Econometric Society 2004 Latin American Meetings 344, Econometric Society.
    18. Laurent Ferrara & Dominique Guegan, 2008. "Business surveys modelling with Seasonal-Cyclical Long Memory models," Post-Print halshs-00277379, HAL.
    19. Laurent Ferrara & Dominique Guegan & Zhiping Lu, 2008. "Testing fractional order of long memory processes : a Monte Carlo study," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00259193, HAL.
    20. Cuestas Juan Carlos & Gil-Alana Luis Alberiko, 2016. "Testing for long memory in the presence of non-linear deterministic trends with Chebyshev polynomials," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(1), pages 57-74, February.
    21. Souza, Leonardo Rocha & Soares, Lacir Jorge, 2003. "Forecasting electricity load demand: analysis of the 2001 rationing period in Brazil," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 491, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    22. Laurent Ferrara & Dominique Guegan, 2006. "Fractional seasonality: Models and Application to Economic Activity in the Euro Area," Post-Print halshs-00185370, HAL.
    23. Luis A. Gil-Alana & OlaOluwa S. Yaya, 2021. "Testing fractional unit roots with non-linear smooth break approximations using Fourier functions," Journal of Applied Statistics, Taylor & Francis Journals, vol. 48(13-15), pages 2542-2559, November.
    24. Laurent Ferrara & Dominique Guegan & Zhiping Lu, 2008. "Testing fractional order of long memory processes : a Monte Carlo study," Post-Print halshs-00259193, HAL.
    25. Sandro Sapio, 2004. "Market Design, Bidding Rules, and Long Memory in Electricity Prices," LEM Papers Series 2004/07, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    26. L.A. Gil-Alana, 2005. "Fractional Cyclical Structures & Business Cycles in the Specification of the US Real Output," European Research Studies Journal, European Research Studies Journal, vol. 0(1-2), pages 99-126.
    27. Boubaker Heni & Boutahar Mohamed, 2011. "A wavelet-based approach for modelling exchange rates," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 20(2), pages 201-220, June.
    28. Laurent Ferrara & Dominique Guegan, 2008. "Business surveys modelling with Seasonal-Cyclical Long Memory models," Post-Print halshs-00283710, HAL.
    29. Guglielmo Maria Caporale & Luis Alberiko Gil-Alana, 2024. "A Long-Memory Model for Multiple Cycles with an Application to the S&P500," CESifo Working Paper Series 10947, CESifo.
    30. Beaumont, Paul & Smallwood, Aaron, 2019. "Inference for likelihood-based estimators of generalized long-memory processes," MPRA Paper 96313, University Library of Munich, Germany.
    31. Guglielmo Caporale & Luis Gil-Alana, 2006. "Long memory at the long run and at the cyclical frequencies: modelling real wages in England, 1260–1994," Empirical Economics, Springer, vol. 31(1), pages 83-93, March.
    32. Rocha Souza, Leonardo & Jorge Soares, Lacir, 2007. "Electricity rationing and public response," Energy Economics, Elsevier, vol. 29(2), pages 296-311, March.
    33. Luis A. Gil-Alana, 2009. "Time series modelling of sunspot numbers using long range cyclical dependence," Faculty Working Papers 06/09, School of Economics and Business Administration, University of Navarra.
    34. Souhir Ben Amor & Heni Boubaker & Lotfi Belkacem, 2022. "A Dual Generalized Long Memory Modelling for Forecasting Electricity Spot Price: Neural Network and Wavelet Estimate," Papers 2204.08289, arXiv.org.
    35. Leschinski, Christian & Sibbertsen, Philipp, 2019. "Model order selection in periodic long memory models," Econometrics and Statistics, Elsevier, vol. 9(C), pages 78-94.
    36. Asai, M. & Peiris, S. & McAleer, M.J. & Allen, D.E., 2018. "Cointegrated Dynamics for A Generalized Long Memory Process," Econometric Institute Research Papers EI 2018-32, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    37. Dominique Guegan, 2003. "A prospective study of the k-factor Gegenbauer processes with heteroscedastic errors and an application to inflation rates," Post-Print halshs-00201314, HAL.
    38. Stéphane Goutte & David Guerreiro & Bilel Sanhaji & Sophie Saglio & Julien Chevallier, 2019. "International Financial Markets," Post-Print halshs-02183053, HAL.

  58. Laurent Ferrara & Dominique Guegan, 2001. "Comparison of parameter estimation methods in cyclical long memory time series," Post-Print halshs-00196426, HAL.

    Cited by:

    1. Maria Caporale, Guglielmo & A. Gil-Alana, Luis, 2011. "Multi-Factor Gegenbauer Processes and European Inflation Rates," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 26, pages 386-409.
    2. Abdou Kâ Diongue & Dominique Guegan, 2008. "Estimation of k-factor GIGARCH process : a Monte Carlo study," Post-Print halshs-00235179, HAL.
    3. Soares, Lacir Jorge & Souza, Leonardo Rocha, 2006. "Forecasting electricity demand using generalized long memory," International Journal of Forecasting, Elsevier, vol. 22(1), pages 17-28.
    4. Diongue Abdou Ka & Dominique Guegan, 2008. "Estimation of k-Factor Gigarch Process: A Monte Carlo Study," Post-Print halshs-00375758, HAL.
    5. Dominique Guegan & Zhiping Lu, 2009. "Wavelet Method for Locally Stationary Seasonal Long Memory Processes," Post-Print halshs-00375531, HAL.
    6. Abdou Kâ Diongue & Dominique Guegan, 2004. "Estimating parameters for a k-GIGARCH process," Post-Print halshs-00188531, HAL.
    7. Sandrine Lardic & Valérie Mignon, 2003. "Cointégration fractionnaire entre la consommation et le revenu," Economie & Prévision, La Documentation Française, vol. 158(2), pages 123-142.
    8. Rosa Espejo & Nikolai Leonenko & Andriy Olenko & María Ruiz-Medina, 2015. "On a class of minimum contrast estimators for Gegenbauer random fields," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 24(4), pages 657-680, December.

  59. Laurent Ferrara & Dominique Guegan, 2000. "Forecasting financial time series with generalized long memory processes," Post-Print halshs-00199126, HAL.

    Cited by:

    1. Artiach, Miguel & Arteche, Josu, 2012. "Doubly fractional models for dynamic heteroscedastic cycles," Computational Statistics & Data Analysis, Elsevier, vol. 56(6), pages 2139-2158.
    2. Laurent Ferrara & Dominique Guegan, 2008. "Business surveys modelling with Seasonal-Cyclical Long Memory models," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00283710, HAL.
    3. Soares, Lacir Jorge & Souza, Leonardo Rocha, 2006. "Forecasting electricity demand using generalized long memory," International Journal of Forecasting, Elsevier, vol. 22(1), pages 17-28.
    4. Souza, Leonardo Rocha & Soares, Lacir Jorge, 2003. "Forecasting electricity load demand: analysis of the 2001 rationing period in Brazil," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 491, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    5. Rocha Souza, Leonardo & Jorge Soares, Lacir, 2007. "Electricity rationing and public response," Energy Economics, Elsevier, vol. 29(2), pages 296-311, March.
    6. McElroy, Tucker S. & Holan, Scott H., 2016. "Computation of the autocovariances for time series with multiple long-range persistencies," Computational Statistics & Data Analysis, Elsevier, vol. 101(C), pages 44-56.
    7. Dominique Guegan, 2003. "A prospective study of the k-factor Gegenbauer processes with heteroscedastic errors and an application to inflation rates," Post-Print halshs-00201314, HAL.

  60. Laurent Ferrara & Dominique Guegan, 1999. "Estimation and Applications of Gegenbauer Processes," Working Papers 99-27, Center for Research in Economics and Statistics.

    Cited by:

    1. Soares, Lacir Jorge & Souza, Leonardo Rocha, 2006. "Forecasting electricity demand using generalized long memory," International Journal of Forecasting, Elsevier, vol. 22(1), pages 17-28.
    2. L.A. Gil-Alanaa, 2007. "Testing The Existence of Multiple Cycles in Financial and Economic Time Series," Annals of Economics and Finance, Society for AEF, vol. 8(1), pages 1-20, May.
    3. Federico Maddanu, 2022. "A harmonically weighted filter for cyclical long memory processes," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 106(1), pages 49-78, March.
    4. Souza, Leonardo Rocha & Soares, Lacir Jorge, 2003. "Forecasting electricity load demand: analysis of the 2001 rationing period in Brazil," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 491, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).

Articles

  1. Laurent Ferrara & Anna Simoni, 2023. "When are Google Data Useful to Nowcast GDP? An Approach via Preselection and Shrinkage," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(4), pages 1188-1202, October.
    See citations under working paper version above.
  2. Matthieu Bussière & Menzie Chinn & Laurent Ferrara & Jonas Heipertz, 2022. "The New Fama Puzzle," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 70(3), pages 451-486, September.
    See citations under working paper version above.
  3. Ferrara, Laurent & Mogliani, Matteo & Sahuc, Jean-Guillaume, 2022. "High-frequency monitoring of growth at risk," International Journal of Forecasting, Elsevier, vol. 38(2), pages 582-595.
    See citations under working paper version above.
  4. Ferrara, Laurent & Sheng, Xuguang Simon, 2022. "Guest editorial: Economic forecasting in times of COVID-19," International Journal of Forecasting, Elsevier, vol. 38(2), pages 527-528.

    Cited by:

    1. Barbaglia, Luca & Frattarolo, Lorenzo & Onorante, Luca & Pericoli, Filippo Maria & Ratto, Marco & Tiozzo Pezzoli, Luca, 2022. "Testing big data in a big crisis: Nowcasting under COVID-19," Working Papers 2022-06, Joint Research Centre, European Commission.
    2. Alina Stundziene & Vaida Pilinkiene & Jurgita Bruneckiene & Andrius Grybauskas & Mantas Lukauskas, 2023. "Nowcasting Economic Activity Using Electricity Market Data: The Case of Lithuania," Economies, MDPI, vol. 11(5), pages 1-21, May.

  5. Ferrara, Laurent & Metelli, Luca & Natoli, Filippo & Siena, Daniele, 2021. "Questioning the puzzle: Fiscal policy, real exchange rate and inflation," Journal of International Economics, Elsevier, vol. 133(C).
    See citations under working paper version above.
  6. Bertrand Candelon & Laurent Ferrara & Marc Joëts, 2021. "Global financial interconnectedness: a non-linear assessment of the uncertainty channel," Applied Economics, Taylor & Francis Journals, vol. 53(25), pages 2865-2887, May.
    See citations under working paper version above.
  7. Laurent Ferrara & Clément Marsilli, 2019. "Nowcasting global economic growth: A factor‐augmented mixed‐frequency approach," The World Economy, Wiley Blackwell, vol. 42(3), pages 846-875, March.
    See citations under working paper version above.
  8. Antoine Berthou & Matthieu Bussière & Laurent Ferrara & Sophie Haincourt & Francesco Pappadà & Julia Schmidt, 2018. "Global imbalances: build-up, unwinding and financial aspects [Les déséquilibres mondiaux persistent malgré le rééquilibrage d’après-crise : focus sur leur financement]," Bulletin de la Banque de France, Banque de France, issue 220.

    Cited by:

    1. Menzie D. Chinn & Hiro Ito, 2019. "A Requiem for “Blame It on Beijing”: Interpreting Rotating Global Current Account Surpluses," NBER Working Papers 26226, National Bureau of Economic Research, Inc.
    2. Florian LALANNE & Irena PERESA & Sophie RIVAUD, 2019. "Portfolio investments and fragility in emerging economies: detection tools [Investissements de portefeuille et fragilisation des pays émergents : des outils de détection]," Bulletin de la Banque de France, Banque de France, issue 226.

  9. Laurent Ferrara & Pierre Guérin, 2018. "What are the macroeconomic effects of high‐frequency uncertainty shocks?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(5), pages 662-679, August.
    See citations under working paper version above.
  10. Amélie Charles & Olivier Darné & Laurent Ferrara, 2018. "Does The Great Recession Imply The End Of The Great Moderation? International Evidence," Economic Inquiry, Western Economic Association International, vol. 56(2), pages 745-760, April.
    See citations under working paper version above.
  11. Clémence Berson & Louis de Charsonville & Pavel Diev & Violaine Faubert & Laurent Ferrara & Sophie Guilloux-Nefussi & Yannick Kalantzis & Antoine Lalliard & Julien Matheron & Matteo Mogliani, 2018. "Does the Phillips curve still exist?," Rue de la Banque, Banque de France, issue 56, february.

    Cited by:

    1. Thibault Lemaire, 2020. "Phillips in A Revolution: Unemployment and Prices in Early 21st Century Egypt," Working Papers hal-03948605, HAL.
    2. Siena Daniele, & Zago Riccardo., 2021. "Job Polarization and the Flattening of the Price Phillips Curve," Working papers 819, Banque de France.
    3. Hadrien Camatte & Guillaume Daudin & Violaine Faubert & Antoine Lalliard & Christine Rifflart, 2021. "Global value chains and the transmission of exchange rate shocks to consumer prices," SciencePo Working papers Main hal-03374355, HAL.
    4. Koester, Gerrit & Lis, Eliza & Nickel, Christiane & Osbat, Chiara & Smets, Frank, 2021. "Understanding low inflation in the euro area from 2013 to 2019: cyclical and structural drivers," Occasional Paper Series 280, European Central Bank.

  12. Delle Chiaie, Simona & Ferrara, Laurent & Giannone, Domenico, 2018. "Common factors of commodity prices," Research Bulletin, European Central Bank, vol. 51.
    See citations under working paper version above.
  13. Christophe Bellégo & Laurent Ferrara, 2017. "Forecasting euro area recessions by combining financial information," International Journal of Computational Economics and Econometrics, Inderscience Enterprises Ltd, vol. 7(1/2), pages 78-94.

    Cited by:

    1. Donato Ceci & Andrea Silvestrini, 2023. "Nowcasting the state of the Italian economy: The role of financial markets," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(7), pages 1569-1593, November.

  14. Matthieu Bussière & Laurent Ferrara & Juliana Milovich, 2017. "Explaining the recent slump in investment: the role of expected demand and uncertainty," Rue de la Banque, Banque de France, issue 44, may..
    See citations under working paper version above.
  15. Barhoumi, Karim & Darné, Olivier & Ferrara, Laurent, 2016. "A World Trade Leading Index (WTLI)," Economics Letters, Elsevier, vol. 146(C), pages 111-115.
    See citations under working paper version above.
  16. Bec, Frédérique & Bouabdallah, Othman & Ferrara, Laurent, 2015. "Comparing the shape of recoveries: France, the UK and the US," Economic Modelling, Elsevier, vol. 44(C), pages 327-334.
    See citations under working paper version above.
  17. Ferrara, Laurent & Marcellino, Massimiliano & Mogliani, Matteo, 2015. "Macroeconomic forecasting during the Great Recession: The return of non-linearity?," International Journal of Forecasting, Elsevier, vol. 31(3), pages 664-679.
    See citations under working paper version above.
  18. Charles, Amélie & Darné, Olivier & Diebolt, Claude & Ferrara, Laurent, 2015. "A new monthly chronology of the US industrial cycles in the prewar economy," Journal of Financial Stability, Elsevier, vol. 17(C), pages 3-9.
    See citations under working paper version above.
  19. Ferrara, Laurent & Marsilli, Clément & Ortega, Juan-Pablo, 2014. "Forecasting growth during the Great Recession: is financial volatility the missing ingredient?," Economic Modelling, Elsevier, vol. 36(C), pages 44-50.
    See citations under working paper version above.
  20. Chinn, Menzie & Ferrara, Laurent & Mignon, Valérie, 2014. "Explaining US employment growth after the great recession: The role of output–employment non-linearities," Journal of Macroeconomics, Elsevier, vol. 42(C), pages 118-129.
    See citations under working paper version above.
  21. Karim Barhoumi & Olivier Darné & Laurent Ferrara, 2014. "Dynamic factor models: A review of the literature," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2013(2), pages 73-107.
    See citations under working paper version above.
  22. Bec, Frédérique & Bouabdallah, Othman & Ferrara, Laurent, 2014. "The way out of recessions: A forecasting analysis for some Euro area countries," International Journal of Forecasting, Elsevier, vol. 30(3), pages 539-549.
    See citations under working paper version above.
  23. Monica Billio & Laurent Ferrara & Dominique Guégan & Gian Luigi Mazzi, 2013. "Evaluation of Regime Switching Models for Real‐Time Business Cycle Analysis of the Euro Area," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 32(7), pages 577-586, November.
    See citations under working paper version above.
  24. Karim Barhoumi & Olivier Darné & Laurent Ferrara, 2013. "Testing the Number of Factors: An Empirical Assessment for a Forecasting Purpose," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(1), pages 64-79, February.
    See citations under working paper version above.
  25. Laurent Ferrara & Cl�ment Marsilli, 2013. "Financial variables as leading indicators of GDP growth: Evidence from a MIDAS approach during the Great Recession," Applied Economics Letters, Taylor & Francis Journals, vol. 20(3), pages 233-237, February.
    See citations under working paper version above.
  26. Bellégo, C. & Ferrara, L., 2012. "Macro-financial linkages and business cycles: A factor-augmented probit approach," Economic Modelling, Elsevier, vol. 29(5), pages 1793-1797.

    Cited by:

    1. Laurent Ferrara & Clément Marsilli & Juan-Pablo Ortega, 2013. "Forecasting US growth during the Great Recession: Is the financial volatility the missing ingredient?," Working Papers hal-04141198, HAL.
    2. Pönkä, Harri & Stenborg, Markku, 2018. "Forecasting the state of the Finnish business cycle," MPRA Paper 91226, University Library of Munich, Germany.
    3. Nissilä, Wilma, 2020. "Probit based time series models in recession forecasting – A survey with an empirical illustration for Finland," BoF Economics Review 7/2020, Bank of Finland.
    4. Harri Ponka, 2017. "The Role of Credit in Predicting US Recessions," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 36(5), pages 469-482, August.
    5. Alonso-Alvarez, Irma & Molina, Luis, 2023. "How to foresee crises? A new synthetic index of vulnerabilities for emerging economies," Economic Modelling, Elsevier, vol. 125(C).
    6. Narcissa Balta & Bořek Vašíček, 2020. "Financial channels and economic activity in the euro area: a large-scale Bayesian VAR approach," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 47(2), pages 431-451, May.
    7. Barhoumi, K. & Darné, O. & Ferrara, L., 2013. "Dynamic Factor Models: A review of the Literature ," Working papers 430, Banque de France.
    8. Irma Alonso & Luis Molina, 2019. "The SHERLOC: an EWS-based index of vulnerability for emerging economies," Working Papers 1946, Banco de España.

  27. Karim Barhoumi & Olivier Darné & Laurent Ferrara & Bertrand Pluyaud, 2012. "Monthly Gdp Forecasting Using Bridge Models: Application For The French Economy," Bulletin of Economic Research, Wiley Blackwell, vol. 64(Supplemen), pages 53-70, December.

    Cited by:

    1. Robert Lehmann, 2016. "Economic Growth and Business Cycle Forecasting at the Regional Level," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 65.
    2. Antipa, Pamfili & Barhoumi, Karim & Brunhes-Lesage, Véronique & Darné, Olivier, 2012. "Nowcasting German GDP: A comparison of bridge and factor models," Journal of Policy Modeling, Elsevier, vol. 34(6), pages 864-878.
    3. Katja Drechsel & Dr. Rolf Scheufele, 2012. "Bottom-up or Direct? Forecasting German GDP in a Data-rich Environment," Working Papers 2012-16, Swiss National Bank.
    4. Dées, Stéphane & Güntner, Jochen, 2014. "Analysing and forecasting price dynamics across euro area countries and sectors: a panel VAR approach," Working Paper Series 1724, European Central Bank.
    5. Nyoni, Thabani, 2019. "Is the United States of America (USA) really being made great again? witty insights from the Box-Jenkins ARIMA approach," MPRA Paper 91353, University Library of Munich, Germany.
    6. Claudia Foroni & Massimiliano Marcellino, 2013. "A survey of econometric methods for mixed-frequency data," Working Paper 2013/06, Norges Bank.
    7. Laurent Ferrara & Clément Marsilli & Juan-Pablo Ortega, 2013. "Forecasting US growth during the Great Recession: Is the financial volatility the missing ingredient?," Working Papers hal-04141198, HAL.
    8. Savignac, Frédérique & Gautier, Erwan & Gorodnichenko, Yuriy & Coibion, Olivier, 2022. "Firms' Inflation Expectations: New Evidence from France," IZA Discussion Papers 15069, Institute of Labor Economics (IZA).
    9. Christos Papamichael & Nicoletta Pashourtidou, 2016. "The Role of Survey Data in the Construction of Short-term GDP Growth Forecasts," Cyprus Economic Policy Review, University of Cyprus, Economics Research Centre, vol. 10(2), pages 77-109, December.
    10. Christophe Piette, 2016. "Predicting Belgium’s GDP using targeted bridge models," Working Paper Research 290, National Bank of Belgium.
    11. Soybilgen, Barış & Yazgan, Ege, 2018. "Evaluating nowcasts of bridge equations with advanced combination schemes for the Turkish unemployment rate," Economic Modelling, Elsevier, vol. 72(C), pages 99-108.
    12. Nikolay P. Pilnik & Igor Pospelov & Ivan P. Stankevich, 2015. "Multiproduct Model Decomposition of Components of Russian GDP," HSE Working papers WP BRP 111/EC/2015, National Research University Higher School of Economics.
    13. Nicoletta Pashourtidou & Christos Papamichael & Charalampos Karagiannakis, 2018. "Forecasting economic activity in sectors of the Cypriot economy," Cyprus Economic Policy Review, University of Cyprus, Economics Research Centre, vol. 12(2), pages 24-66, December.
    14. Gregor Bäurle & Elizabeth Steiner & Gabriel Züllig, 2021. "Forecasting the production side of GDP," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(3), pages 458-480, April.
    15. Petralias, Athanassios & Petros, Sotirios & Prodromídis, Pródromos, 2013. "Greece in recession: economic predictions, mispredictions and policy implications," LSE Research Online Documents on Economics 52626, London School of Economics and Political Science, LSE Library.
    16. Nyoni, Thabani, 2019. "Where is Kenya being headed to? Empirical evidence from the Box-Jenkins ARIMA approach," MPRA Paper 91395, University Library of Munich, Germany.
    17. Nyoni, Thabani, 2019. "Is South Africa the South Africa we all desire? Insights from the Box-Jenkins ARIMA approach," MPRA Paper 92441, University Library of Munich, Germany.

  28. Karim Barhoumi & Olivier Darné & Laurent Ferrara, 2012. "Une revue de la littérature des modèles à facteurs dynamiques," Économie et Prévision, Programme National Persée, vol. 199(1), pages 51-77.
    See citations under working paper version above.
  29. Olivier Darné & Laurent Ferrara, 2011. "Identification of Slowdowns and Accelerations for the Euro Area Economy," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 73(3), pages 335-364, June.
    See citations under working paper version above.
  30. Laurent Ferrara & Dominique Guégan & Patrick Rakotomarolahy, 2010. "GDP nowcasting with ragged-edge data: a semi-parametric modeling," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(1-2), pages 186-199.
    See citations under working paper version above.
  31. Karim Barhoumi & Olivier Darné & Laurent Ferrara, 2010. "Are disaggregate data useful for factor analysis in forecasting French GDP?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(1-2), pages 132-144.
    See citations under working paper version above.
  32. Marie Adanero-Donderis & Olivier Darné & Laurent Ferrara, 2009. "Un indicateur probabiliste du cycle d'accélération pour l'économie française," Economie & Prévision, La Documentation Française, vol. 0(3), pages 95-114.

    Cited by:

    1. Antonin Aviat & Frédérique Bec & Claude Diebolt & Catherine Doz & Denis Ferrand & Laurent Ferrara & Eric Heyer & Valérie Mignon & Pierre-Alain Pionnier, 2021. "Dating business cycles in France: A reference chronology," Working Papers hal-04159735, HAL.

  33. Laurent Ferrara, 2009. "Caractérisation et datation des cycles économiques en zone euro," Revue économique, Presses de Sciences-Po, vol. 60(3), pages 703-712.

    Cited by:

    1. Yves Jégourel, 2018. "Tendances et cyclicité du prix des matières premières (partie 2) : le super-cycle des matières premières en question," Policy briefs 1824, Policy Center for the New South.
    2. Jean-François Verne, 2021. "Smooth Threshold Autoregressive models and Markov process: An application to the Lebanese GDP growth rate," International Econometric Review (IER), Econometric Research Association, vol. 13(3), pages 71-88, September.
    3. Thierry Aimar & Francis Bismans & Claude Diebolt, 2010. "Le cycle économique : une synthèse," Revue Française d'Économie, Programme National Persée, vol. 24(4), pages 3-65.
    4. Bellégo, C. & Ferrara, L., 2009. "Forecasting Euro-area recessions using time-varying binary response models for financial," Working papers 259, Banque de France.
    5. Antonin Aviat & Frédérique Bec & Claude Diebolt & Catherine Doz & Denis Ferrand & Laurent Ferrara & Eric Heyer & Valérie Mignon & Pierre-Alain Pionnier, 2021. "Dating business cycles in France: A reference chronology," Working Papers hal-04159735, HAL.
    6. L. Ferrara., 2011. "Forecasting the business cycle. Summary of the 8th International Institute of Forecasters workshop hosted by the Banque de France on 1-2 December 2011 in Paris," Quarterly selection of articles - Bulletin de la Banque de France, Banque de France, issue 24, pages 135-144, Winter.
    7. Jean-François VERNE, 2011. "An econometric analysis of the output gap fluctuations: The case of Lebanon," Economics Bulletin, AccessEcon, vol. 31(2), pages 1530-1547.
    8. Awoutcha Tchieuzing, Romuald Fernand & Fotsing Waffo, Florent Ulrich, 2023. "intégration économique et convergence des cycles : une analyse entre le Cameroun et le Nigéria [Economic Integration and cycle convergence: an analysis between Cameroon and Nigeria]," MPRA Paper 116791, University Library of Munich, Germany.
    9. Jean-François Verne, 2016. "Instabilités politiques, guerre et croissance économique : le cas du Liban et des pays du Moyen-Orient," Revue d'économie politique, Dalloz, vol. 126(6), pages 1077-1103.
    10. Thierry Aimar & Francis Bismans & Claude Diebolt, 2012. "Economic Cycles: A Synthesis," Working Papers 12-11, Association Française de Cliométrie (AFC).

  34. Laurent Ferrara & Dominique Guégan, 2008. "Business surveys modelling with Seasonal-Cyclical Long Memory models," Economics Bulletin, AccessEcon, vol. 3(29), pages 1-10.
    See citations under working paper version above.
  35. Ferrara, L., 2008. "L’apport des indicateurs de retournement cyclique à l’analyse conjoncturelle," Bulletin de la Banque de France, Banque de France, issue 171, pages 43-51.

    Cited by:

    1. Bationo, Rakissiwinde & Hounkpodote, Hilaire, 2009. "Estimation des changements des cours du café et du cacao: Filtre de Kalman, filtre de Hodrick-Prescott et modélisation à partir de processus markovien [Estimated Changes in Prices of Coffee and Coc," MPRA Paper 26980, University Library of Munich, Germany, revised Nov 2010.
    2. Jean-François Verne, 2021. "Smooth Threshold Autoregressive models and Markov process: An application to the Lebanese GDP growth rate," International Econometric Review (IER), Econometric Research Association, vol. 13(3), pages 71-88, September.

  36. Ferrara, L., 2008. "The contribution of cyclical turning point indicators to business cycle analysis," Quarterly selection of articles - Bulletin de la Banque de France, Banque de France, issue 13, pages 49-61, Autumn.

    Cited by:

    1. Stéphane GOUTTE & Benteng Zou, 2011. "Foreign exchange rates under Markov Regime switching model," DEM Discussion Paper Series 11-16, Department of Economics at the University of Luxembourg.
    2. Stéphane Goutte & Benteng Zou, 2012. "Continuous time regime switching model applied to foreign exchange rate," Working Papers hal-00643900, HAL.

  37. Jacques Anas & Monica Billio & Laurent Ferrara & Gian Luigi Mazzi, 2008. "A System For Dating And Detecting Turning Points In The Euro Area," Manchester School, University of Manchester, vol. 76(5), pages 549-577, September.

    Cited by:

    1. Monica Billio & Roberto Casarin & Francesco Ravazzolo & Herman K. van Dijk, 2013. "Interactions between Eurozone and US Booms and Busts: A Bayesian Panel Markov-switching VAR Model," Tinbergen Institute Discussion Papers 13-142/III, Tinbergen Institute, revised 01 Nov 2014.
    2. Carstensen, Kai & Heinrich, Markus & Reif, Magnus & Wolters, Maik H., 2020. "Predicting ordinary and severe recessions with a three-state Markov-switching dynamic factor model," International Journal of Forecasting, Elsevier, vol. 36(3), pages 829-850.
    3. Knut Are Aastveit & Anne Sofie Jore & Francesco Ravazzolo, 2014. "Forecasting recessions in real time," Working Paper 2014/02, Norges Bank.
    4. Marco Gallegati, 2019. "A system for dating long wave phases in economic development," Journal of Evolutionary Economics, Springer, vol. 29(3), pages 803-822, July.
    5. Darné, O. & Ferrara, L., 2009. "Identification of slowdowns and accelerations for the euro area economy," Working papers 239, Banque de France.
    6. Monica Billio & Laurent Ferrara & Dominique Guegan & Gian Luigi Mazzi, 2009. "Evaluation of Nonlinear time-series models for real-time business cycle analysis of the Euro area," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00423890, HAL.
    7. Monica Billio & Roberto Casarin & Francesco Ravazzolo & Herman K. Van Dijk, 2016. "Interconnections Between Eurozone and us Booms and Busts Using a Bayesian Panel Markov‐Switching VAR Model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(7), pages 1352-1370, November.
    8. Marie Adanero-Donderis & Olivier Darné & Laurent Ferrara, 2009. "Un indicateur probabiliste du cycle d’accélération pour l’économie française," Économie et Prévision, Programme National Persée, vol. 189(3), pages 95-114.
    9. Aastveit, Knut Are & Jore, Anne Sofie & Ravazzolo, Francesco, 2016. "Identification and real-time forecasting of Norwegian business cycles," International Journal of Forecasting, Elsevier, vol. 32(2), pages 283-292.
    10. Knut Are Aastveit & André K. Anundsen & Eyo I. Herstad, 2017. "Residential investment and recession predictability," Working Paper 2017/24, Norges Bank.
    11. Kamel Helali, 2022. "Markov Switching-Vector AutoRegression Model Analysis of the Economic and Growth Cycles in Tunisia and Its Main European Partners," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(1), pages 656-686, March.
    12. Bellégo, C. & Ferrara, L., 2009. "Forecasting Euro-area recessions using time-varying binary response models for financial," Working papers 259, Banque de France.
    13. Bellégo, C. & Ferrara, L., 2012. "Macro-financial linkages and business cycles: A factor-augmented probit approach," Economic Modelling, Elsevier, vol. 29(5), pages 1793-1797.
    14. Peter Martey Addo & Monica Billio & Dominique Guegan, 2013. "Turning point chronology for the Euro-Zone: A Distance Plot Approach," Post-Print halshs-00803457, HAL.
    15. Lemoine, Matthieu & Mazzi, Gian Luigi & Monperrus-Veroni, Paola & Reynes, Frédéric, 2008. "Real time estimation of potential output and output gap for theeuro-area: comparing production function with unobserved componentsand SVAR approaches," MPRA Paper 13128, University Library of Munich, Germany, revised Nov 2008.
    16. Ben L. Kyer & Gary E. Maggs, 2019. "Some International Evidence on Double-Dip Recession," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 25(3), pages 347-362, August.
    17. Catherine Doz & Anna Petronevich, 2016. "Dating Business Cycle Turning Points for the French Economy: An MS-DFM approach," Advances in Econometrics, in: Dynamic Factor Models, volume 35, pages 481-538, Emerald Group Publishing Limited.
    18. Ferrara, L. & Koopman, S J., 2010. "Common business and housing market cycles in the Euro area from a multivariate decomposition," Working papers 275, Banque de France.
    19. Monica Billio & Roberto Casarin & Francesco Ravazzolo & Herman K. van Dijk, 2011. "Combination Schemes for Turning Point Predictions," Tinbergen Institute Discussion Papers 11-123/4, Tinbergen Institute.
    20. 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.
    21. Agnieszka Gehringer & Thomas Mayer, 2021. "Measuring the Business Cycle Chronology with a Novel Business Cycle Indicator for Germany," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 17(1), pages 71-89, April.
    22. Chu, Gang & Zhang, Yongjie & Zhang, Xiaotao, 2021. "An analysis of impact of cancellation activity on market quality: Evidence from China," Economic Modelling, Elsevier, vol. 102(C).
    23. Christian R. Proaño & Artur Tarassow, 2017. "Evaluating the predicting power of ordered probit models for multiple business cycle phases in the U.S. and Japan," IMK Working Paper 188-2017, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    24. Monica Billio & Roberto Casarin, 2010. "Identifying business cycle turning points with sequential Monte Carlo methods: an online and real-time application to the Euro area," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(1-2), pages 145-167.
    25. Pirschel, Inske, 2016. "Forecasting euro area recessions in real-time," Kiel Working Papers 2020, Kiel Institute for the World Economy (IfW Kiel).
    26. Proaño, Christian R. & Theobald, Thomas, 2014. "Predicting recessions with a composite real-time dynamic probit model," International Journal of Forecasting, Elsevier, vol. 30(4), pages 898-917.
    27. Peter Martey Addo & Monica Billio & Dominique Guegan, 2012. "Studies in Nonlinear Dynamics and Wavelets for Business Cycle Analysis," Documents de travail du Centre d'Economie de la Sorbonne 12023r, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, revised Nov 2013.
    28. Christophe Bellégo & Laurent Ferrara, 2010. "A factor-augmented probit model for business cycle analysis," EconomiX Working Papers 2010-14, University of Paris Nanterre, EconomiX.
    29. Carstensen, Kai & Heinrich, Markus & Reif, Magnus & Wolters, Maik H., 2020. "Predicting ordinary and severe recessions with a three-state Markov-switching dynamic factor model An application to the German business cycle," Munich Reprints in Economics 84736, University of Munich, Department of Economics.
    30. Pirschel, Inske, 2015. "Forecasting Euro Area Recessions in real-time with a mixed-frequency Bayesian VAR," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113031, Verein für Socialpolitik / German Economic Association.
    31. Jamel Gatfaoui & Eric Girardin, 2015. "Comovement of Chinese provincial business cycles," Post-Print hal-01456105, HAL.
    32. Jürgen Bierbaumer-Polly & Werner Hölzl, 2016. "Business Cycle Dynamics and Firm Heterogeneity. Evidence for Austria Using Survey Data," WIFO Working Papers 504, WIFO.
    33. Matthieu Lemoine & Gian Luigi Mazzi & Paola Monperrus-Veroni & Frédéric Reynes, 2010. "A new production function estimate of the euro area output gap This paper is based on a report for Eurostat: 'Real time estimation of potential output, output gap, NAIRU and Phillips curve for Euro-zo," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(1-2), pages 29-53.
    34. Silvia Palasca & Elisabeta Jaba, 2014. "Leading and Lagging Indicators Of the Economic Crisis," Romanian Statistical Review, Romanian Statistical Review, vol. 62(3), pages 31-47, September.
    35. Billio Monica & Casarin Roberto, 2011. "Beta Autoregressive Transition Markov-Switching Models for Business Cycle Analysis," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 15(4), pages 1-32, September.
    36. Gang Chu & Xiao Li & Dehua Shen & Yongjie Zhang, 2021. "Stock Crashes and Jumps Reactions to Information Demand and Supply: An Intraday Analysis," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 28(3), pages 397-427, September.
    37. Monica Billio & Roberto Casarin, 2008. "Identifying Business Cycle Turning Points with Sequential Monte Carlo Methods," Working Papers 0815, University of Brescia, Department of Economics.
    38. Ferrara, L. & Vigna, O., 2009. "Cyclical relationships between GDP and housing market in France: Facts and factors at play," Working papers 268, Banque de France.

  38. Laurent Ferrara, 2007. "Point and interval nowcasts of the Euro area IPI," Applied Economics Letters, Taylor & Francis Journals, vol. 14(2), pages 115-120.

    Cited by:

    1. Laurent Ferrara & Clément Marsilli, 2012. "Financial variables as leading indicators of GDP growth: Evidence from a MIDAS approach during the Great Recession," Working Papers hal-04141077, HAL.
    2. Laurent Ferrara & Dominique Guegan, 2008. "Business surveys modelling with Seasonal-Cyclical Long Memory models," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00283710, HAL.
    3. Laurent Ferrara & Dominique Guegan, 2008. "Business surveys modelling with Seasonal-Cyclical Long Memory models," Post-Print halshs-00277379, HAL.
    4. Ferrara, Laurent, 2006. "A real-time recession indicator for the Euro area," MPRA Paper 4042, University Library of Munich, Germany.
    5. Laurent Ferrara & Thomas Raffinot, 2008. "A non-parametric method to nowcast the Euro Area IPI," Post-Print halshs-00275769, HAL.
    6. Laurent Ferrara & Dominique Guegan, 2008. "Business surveys modelling with Seasonal-Cyclical Long Memory models," Post-Print halshs-00283710, HAL.

  39. Laurent Ferrara & Dominique Guégan, 2006. "Detection of the Industrial Business Cycle using SETAR Models," Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2005(3), pages 353-371.
    See citations under working paper version above.
  40. Laurent Ferrara & Alain Henriot, 2004. "La localisation des entreprises industrielles : comment apprecier l'attractivite des territoires ?," Economie Internationale, CEPII research center, issue 99, pages 91-111.

    Cited by:

    1. Baccouche, Rafik & Bouoiyour, Jamal & Hatem, M’Henni & Mouley, Sami, 2008. "Dynamique des investissements, mutations sectorielles et convertibilité du compte de capital : impacts des mesures de libéralisation et expériences comparées Tunisie - Maroc [Dynamics of investment," MPRA Paper 38148, University Library of Munich, Germany.
    2. Keramidas Olivier & Ekaterina Le Pennec & Sarah Serval, 2016. "Caractériser l'attractivité d'un territoire, une approche par les ressources : Le cas de 5 EMN européennes nouvellement implantées dans la région de Kalouga en Russie," Post-Print hal-01615457, HAL.

  41. Jacques Anas & Laurent Ferrara, 2004. "Detecting Cyclical Turning Points: The ABCD Approach and Two Probabilistic Indicators," Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2004(2), pages 193-225.

    Cited by:

    1. Laurent Ferrara & Dominique Guégan, 2006. "Detection of the Industrial Business Cycle using SETAR Models," Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2005(3), pages 353-371.
    2. Marco Gallegati, 2019. "A system for dating long wave phases in economic development," Journal of Evolutionary Economics, Springer, vol. 29(3), pages 803-822, July.
    3. Darné, O. & Ferrara, L., 2009. "Identification of slowdowns and accelerations for the euro area economy," Working papers 239, Banque de France.
    4. Sergey V. Smirnov & Nikolai V. Kondrashov & Anna V. Petronevich, 2016. "Dating Cyclical Turning Points for Russia: Formal Methods and Informal Choices," HSE Working papers WP BRP 122/EC/2016, National Research University Higher School of Economics.
    5. Emanuel Mönch & Harald Uhlig, 2005. "Towards a Monthly Business Cycle Chronology for the Euro Area," Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2005(1), pages 43-69.
    6. Monica Billio & Laurent Ferrara & Dominique Guegan & Gian Luigi Mazzi, 2009. "Evaluation of Nonlinear time-series models for real-time business cycle analysis of the Euro area," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00423890, HAL.
    7. Kamel Helali, 2022. "Markov Switching-Vector AutoRegression Model Analysis of the Economic and Growth Cycles in Tunisia and Its Main European Partners," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(1), pages 656-686, March.
    8. Laurent Ferrara & Olivier Darné & Karim Barhoumi, 2016. "A world trade leading index (WLTI)," Post-Print hal-01635948, HAL.
    9. Bellégo, C. & Ferrara, L., 2009. "Forecasting Euro-area recessions using time-varying binary response models for financial," Working papers 259, Banque de France.
    10. Ferrara, Laurent, 2003. "A three-regime real-time indicator for the US economy," Economics Letters, Elsevier, vol. 81(3), pages 373-378, December.
    11. Peter Martey Addo & Monica Billio & Dominique Guegan, 2013. "Turning point chronology for the Euro-Zone: A Distance Plot Approach," Post-Print halshs-00803457, HAL.
    12. Antonin Aviat & Frédérique Bec & Claude Diebolt & Catherine Doz & Denis Ferrand & Laurent Ferrara & Eric Heyer & Valérie Mignon & Pierre-Alain Pionnier, 2021. "Dating business cycles in France: A reference chronology," Working Papers hal-04159735, HAL.
    13. Ferrara, Laurent, 2006. "A real-time recession indicator for the Euro area," MPRA Paper 4042, University Library of Munich, Germany.
    14. Monica Billio & Roberto Casarin & Domenico Sartore, 2007. "Bayesian Inference on Dynamic Models with Latent Factors," Working Papers 2007_34, Department of Economics, University of Venice "Ca' Foscari".
    15. Fathi Elachhab, 2009. "Décrire le cycle économique en Tunisie," Économie et Prévision, Programme National Persée, vol. 189(3), pages 75-92.
    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. Nguena, Christian-Lambert & Kodila-Tedika, Oasis, 2020. "On Recessive and Expansionary Impact of Financial Development: Empirical Evidence," GLO Discussion Paper Series 555, Global Labor Organization (GLO).
    18. Imed Medhioub, 2010. "Business Cycle Synchronization: A Mediterranean Comparison," Working Papers 527, Economic Research Forum, revised 06 Jan 2010.
    19. Monica Billio & Jacques Anas & Laurent Ferrara & Marco Lo Duca, 2007. "A turning point chronology for the Euro-zone," Working Papers 2007_33, Department of Economics, University of Venice "Ca' Foscari".
    20. Bellone, B. & Gautier, E. & Le Coent, S., 2005. "Les marchés financiers anticipent-ils les retournements conjoncturels?," Working papers 128, Banque de France.
    21. Mendoza, Liu & Morales, Daniel, 2013. "Construyendo un índice coincidente de recesión: Una aplicación para la economía peruana," Revista Estudios Económicos, Banco Central de Reserva del Perú, issue 26, pages 81-100.
    22. Monica Billio & Jacques Anas & Laurent Ferrara & Marco Lo Duca, 2007. "Business Cycle Analysis with Multivariate Markov Switching Models," Working Papers 2007_32, Department of Economics, University of Venice "Ca' Foscari".
    23. Mendoza, Liu & Morales, Daniel, 2012. "Constructing a real-time coincident recession index: an application to the Peruvian economy," Working Papers 2012-020, Banco Central de Reserva del Perú.
    24. Deicy J. Cristiano-Botia & Manuel Dario Hernandez-Bejarano & Mario A. Ramos-Veloza, 2021. "Labor Market Indicator for Colombia (LMI)," Borradores de Economia 1152, Banco de la Republica de Colombia.
    25. Christian-Lambert Nguena & Oasis Kodila-Tedika, 2023. "Zu rezessiven und expansiven Auswirkungen der Finanzentwicklung: empirische Beweise [On recessive and expansionary impact of financial development: empirical evidence]," Post-Print hal-04228903, HAL.
    26. Eraslan, Sercan & Nöller, Marvin, 2020. "Recession probabilities falling from the STARs," Discussion Papers 08/2020, Deutsche Bundesbank.
    27. Sergey Smirnov, 2011. "Those Unpredictable Recessions," HSE Working papers WP BRP 02/EC/2011, National Research University Higher School of Economics.
    28. Christian-Lambert Nguena, Oasis Kodila-Tedika, 2023. "On recessive and expansionary impact of financial development: empirical evidence," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 20(1), pages 97-130, June.
    29. Awoutcha Tchieuzing, Romuald Fernand & Fotsing Waffo, Florent Ulrich, 2023. "intégration économique et convergence des cycles : une analyse entre le Cameroun et le Nigéria [Economic Integration and cycle convergence: an analysis between Cameroon and Nigeria]," MPRA Paper 116791, University Library of Munich, Germany.
    30. Jaromir Baxa & Jan Zacek, 2022. "Monetary Policy and the Financial Cycle: International Evidence," Working Papers 2022/4, Czech National Bank.
    31. Legrand, Romain, 2014. "Euro introduction: Has there been a structural change? Study on 10 European Union countries," Economic Modelling, Elsevier, vol. 40(C), pages 136-151.
    32. Sergey V. Smirnov & Daria A. Avdeeva, 2016. "Wishful Bias in Predicting Us Recessions: Indirect Evidence," HSE Working papers WP BRP 135/EC/2016, National Research University Higher School of Economics.
    33. Monica Billio & Roberto Casarin, 2008. "Identifying Business Cycle Turning Points with Sequential Monte Carlo Methods," Working Papers 0815, University of Brescia, Department of Economics.

  42. Ferrara, Laurent, 2003. "A three-regime real-time indicator for the US economy," Economics Letters, Elsevier, vol. 81(3), pages 373-378, December.

    Cited by:

    1. Monica Billio & Roberto Casarin & Francesco Ravazzolo & Herman K. van Dijk, 2013. "Interactions between Eurozone and US Booms and Busts: A Bayesian Panel Markov-switching VAR Model," Tinbergen Institute Discussion Papers 13-142/III, Tinbergen Institute, revised 01 Nov 2014.
    2. Carstensen, Kai & Heinrich, Markus & Reif, Magnus & Wolters, Maik H., 2020. "Predicting ordinary and severe recessions with a three-state Markov-switching dynamic factor model," International Journal of Forecasting, Elsevier, vol. 36(3), pages 829-850.
    3. Laurent Ferrara & Dominique Guégan, 2006. "Detection of the Industrial Business Cycle using SETAR Models," Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2005(3), pages 353-371.
    4. Darné, O. & Ferrara, L., 2009. "Identification of slowdowns and accelerations for the euro area economy," Working papers 239, Banque de France.
    5. Amélie Charles & Olivier Darné & Claude Diebolt & Laurent Ferrara, 2012. "A new monthly chronology of the US industrial cycles in the prewar economy," Working Papers 12-02, Association Française de Cliométrie (AFC).
    6. Yu-Fu Chen & Michael Funke, 2009. "Booms, Recessions and Financial Turmoil: A Fresh Look at Investment Decisions under Cyclical Uncertainty," CESifo Working Paper Series 2759, CESifo.
    7. Monica Billio & Laurent Ferrara & Dominique Guegan & Gian Luigi Mazzi, 2009. "Evaluation of Nonlinear time-series models for real-time business cycle analysis of the Euro area," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00423890, HAL.
    8. Anastasios G. Malliaris & Ramaprasad Bhar, 2011. "Dividends, Momentum, and Macroeconomic Variables as Determinants of the US Equity Premium Across Economic Regimes," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 3(1), pages 27-53, April.
    9. Marie Adanero-Donderis & Olivier Darné & Laurent Ferrara, 2009. "Un indicateur probabiliste du cycle d’accélération pour l’économie française," Économie et Prévision, Programme National Persée, vol. 189(3), pages 95-114.
    10. Benoit Bellone, 2005. "Classical Estimation of Multivariate Markov-Switching Models using MSVARlib," Econometrics 0508017, University Library of Munich, Germany.
    11. Laurent Ferrara & Dominique Guegan, 2006. "Real-time detection of the business cycle using SETAR models," Post-Print halshs-00185372, HAL.
    12. Kamel Helali, 2022. "Markov Switching-Vector AutoRegression Model Analysis of the Economic and Growth Cycles in Tunisia and Its Main European Partners," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(1), pages 656-686, March.
    13. Benoit Bellone & David Saint-Martin, 2004. "Detecting Turning Points with Many Predictors through Hidden Markov Models," Econometrics 0407001, University Library of Munich, Germany.
    14. Torben Klarl, 2019. "The response of CO2 emissions to the business cycle: New evidence for the U.S," Bremen Papers on Economics & Innovation 1902, University of Bremen, Faculty of Business Studies and Economics.
    15. Benoit Bellone, 2004. "Une lecture probabiliste du cycle d’affaires américain," Econometrics 0407002, University Library of Munich, Germany, revised 28 Mar 2005.
    16. Klarl, Torben, 2020. "The response of CO2 emissions to the business cycle: New evidence for the U.S," Energy Economics, Elsevier, vol. 85(C).
    17. Antonin Aviat & Frédérique Bec & Claude Diebolt & Catherine Doz & Denis Ferrand & Laurent Ferrara & Eric Heyer & Valérie Mignon & Pierre-Alain Pionnier, 2021. "Dating business cycles in France: A reference chronology," Working Papers hal-04159735, HAL.
    18. Ferrara, Laurent, 2006. "A real-time recession indicator for the Euro area," MPRA Paper 4042, University Library of Munich, Germany.
    19. Shirazi, Masoud, 2022. "Assessing energy trilemma-related policies: The world's large energy user evidence," Energy Policy, Elsevier, vol. 167(C).
    20. Moritz Cruz, 2005. "The business cycle in a financially deregulated context: Theory and evidence," International Review of Applied Economics, Taylor & Francis Journals, vol. 19(3), pages 271-287.
    21. Geng, Jiang-Bo & Ji, Qiang & Fan, Ying, 2016. "The impact of the North American shale gas revolution on regional natural gas markets: Evidence from the regime-switching model," Energy Policy, Elsevier, vol. 96(C), pages 167-178.
    22. 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.
    23. Dammak, Wael & Boutouria, Nahla & Ben Hamad, Salah & de Peretti, Christian, 2023. "Investor behavior in the currency option market during the COVID-19 pandemic," The Journal of Economic Asymmetries, Elsevier, vol. 28(C).
    24. Imed Medhioub, 2010. "Business Cycle Synchronization: A Mediterranean Comparison," Working Papers 527, Economic Research Forum, revised 06 Jan 2010.
    25. Bellone, B. & Gautier, E. & Le Coent, S., 2005. "Les marchés financiers anticipent-ils les retournements conjoncturels?," Working papers 128, Banque de France.
    26. Laurent Ferrara & Dominique Guegan, 2006. "Real-time detection of the business cycle using SETAR models," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00185372, HAL.
    27. Jacques Anas & Monica Billio & Laurent Ferrara & Gian Luigi Mazzi, 2008. "A System For Dating And Detecting Turning Points In The Euro Area," Manchester School, University of Manchester, vol. 76(5), pages 549-577, September.
    28. Bec, Frédérique & Bouabdallah, Othman & Ferrara, Laurent, 2015. "Comparing the shape of recoveries: France, the UK and the US," Economic Modelling, Elsevier, vol. 44(C), pages 327-334.
    29. Christian R. Proaño & Artur Tarassow, 2017. "Evaluating the predicting power of ordered probit models for multiple business cycle phases in the U.S. and Japan," IMK Working Paper 188-2017, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    30. Moritz Cruz, 2005. "A three-regime business cycle model for an emerging economy," Applied Economics Letters, Taylor & Francis Journals, vol. 12(7), pages 399-402.
    31. Kierzenkowski, R. & Oung, V., 2007. "L’évolution des crédits à l’habitat en France : une grille d’analyse en termes de cycles," Working papers 172, Banque de France.
    32. Fayuan Wang & Rong Wang & Zhili He, 2022. "Exploring the Impact of “Double Cycle” and Industrial Upgrading on Sustainable High-Quality Economic Development: Application of Spatial and Mediation Models," Sustainability, MDPI, vol. 14(4), pages 1-17, February.
    33. Charlotte Le Chapelain, 2012. "Allocation des talents et accumulation de capital humain en France à la fin du XIXe siècle," Working Papers 12-03, Association Française de Cliométrie (AFC).
    34. Muhsin Kar & Tayfur Bayat & Selim Kayhan, 2016. "Impacts of Credit Default Swaps on Volatility of the Exchange Rate in Turkey: The Case of Euro," IJFS, MDPI, vol. 4(3), pages 1-18, July.
    35. Selim KAYHAN & Muhsin KAR & Ahmet ŞAHBAZ, 2015. "Is CPI a suitable tool for inflation targeting? A critical view," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(3(604), A), pages 21-38, Autumn.
    36. Carstensen, Kai & Heinrich, Markus & Reif, Magnus & Wolters, Maik H., 2020. "Predicting ordinary and severe recessions with a three-state Markov-switching dynamic factor model An application to the German business cycle," Munich Reprints in Economics 84736, University of Munich, Department of Economics.
    37. Benoît Bellone, 2006. "Une lecture probabiliste du cycle d’affaires américain," Économie et Prévision, Programme National Persée, vol. 172(1), pages 63-81.
    38. Adanero-Donderis , M. & Darné, O. & Ferrara, L., 2007. "Deux indicateurs probabilistes de retournement cyclique pour l’économie française," Working papers 187, Banque de France.
    39. Benoit Bellone, 2004. "MSVARlib: a new Gauss library to estimate multivariate Hidden Markov Models," Econometrics 0406004, University Library of Munich, Germany.
    40. Díaz, Antonio & Jareño, Francisco, 2009. "Explanatory factors of the inflation news impact on stock returns by sector: The Spanish case," Research in International Business and Finance, Elsevier, vol. 23(3), pages 349-368, September.

  43. Ferrara, Laurent & Guegan, Dominique, 2001. "Forecasting with k-Factor Gegenbauer Processes: Theory and Applications," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 20(8), pages 581-601, December.
    See citations under working paper version above.

Chapters

  1. Laurent Ferrara & Stéphane Lhuissier & Fabien Tripier, 2018. "Uncertainty Fluctuations: Measures, Effects and Macroeconomic Policy Challenges," Financial and Monetary Policy Studies, in: Laurent Ferrara & Ignacio Hernando & Daniela Marconi (ed.), International Macroeconomics in the Wake of the Global Financial Crisis, pages 159-181, Springer.
    See citations under working paper version above.Sorry, no citations of chapters recorded.

Books

  1. Laurent Ferrara & Ignacio Hernando & Daniela Marconi (ed.), 2018. "International Macroeconomics in the Wake of the Global Financial Crisis," Financial and Monetary Policy Studies, Springer, number 978-3-319-79075-6, March.

    Cited by:

    1. Kose, M. Ayhan & Ha, Jongrim & Ohnsorge, Franziska, 2021. "One-Stop Source: A Global Database of Inflation," CEPR Discussion Papers 16327, C.E.P.R. Discussion Papers.
    2. Eller, Markus & Hauzenberger, Niko & Huber, Florian & Schuberth, Helene & Vashold, Lukas, 2021. "The impact of macroprudential policies on capital flows in CESEE," Journal of International Money and Finance, Elsevier, vol. 119(C).
    3. Stefan Avdjiev & Leonardo Gambacorta & Linda Goldberg & Stefano Schiaffi, 2017. "The shifting drivers of global liquidity," BIS Working Papers 644, Bank for International Settlements.
    4. Michael Ryan, 2020. "An Anchor in Stormy Seas: Does Reforming Economic Institutions Reduce Uncertainty? Evidence from New Zealand," Working Papers in Economics 20/11, University of Waikato.
    5. Sophie Haincourt, 2018. "The Nature of the Shock Matters: NiGEM Estimations of the Macroeconomic Effects of Recent Dollar and Euro Fluctuations," National Institute Economic Review, National Institute of Economic and Social Research, vol. 244(1), pages 30-38, May.
    6. Eller, Markus & Huber, Florian & Schuberth, Helene, 2018. "How Important are Global Factors for Understanding the Dynamics of International Capital Flows?," Working Papers in Economics 2018-2, University of Salzburg.
    7. Jaime Marquez, 2023. "Stylized Facts of the FOMC’s Longer-Run Forecasts," JRFM, MDPI, vol. 16(3), pages 1-20, February.
    8. Nino Buliskeria & Jaromir Baxa & Tomas Sestorad, 2024. "Uncertain Trends in Economic Policy Uncertainty," Working Papers IES 2024/1, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jan 2024.
    9. Stefano Di Bucchianico, 2021. "Negative Interest Rate Policy to Fight Secular Stagnation: Unfeasible, Ineffective, Irrelevant, or Inadequate?," Review of Political Economy, Taylor & Francis Journals, vol. 33(4), pages 687-710, October.
    10. Peter A.G. van Bergeijk, 2019. "Deglobalization 2.0," Books, Edward Elgar Publishing, number 18560, December.

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