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Expecting the unexpected: economic growth under stress

Author

Listed:
  • Gloria Gonzalez-Rivera

    (Department of Economics, University of California Riverside)

  • Vladimir Rodriguez-Caballero

    (ITAM)

  • Esther Ruiz

    (Universidad Carlos III de Madrid, Spain)

Abstract
Large and unexpected moves in the factors underlying economic growth should be the principal concern of policy makers aiming to strengthen the resilience of the economies. We propose measuring the effects of these extreme moves in the quantiles of the distribution of growth under stressed factors (GiS) and compare them with the popular Growth at Risk (GaR). In this comparison, we consider local and global macroeconomic and financial factors affecting US growth. We show that GaR underestimates the extreme and unexpected fall in growth produced by the COVI19 pandemic while GiS is much more accurate.

Suggested Citation

  • 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.
    • Handle: RePEc:ucr:wpaper:202106
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    as
    1. Nina Boyarchenko & Domenico Giannone & Anna Kovner, 2020. "Bank Capital and Real GDP Growth," Staff Reports 950, Federal Reserve Bank of New York.
    2. Knut Are Aastveit & Hilde C. Bjørnland & Leif Anders Thorsrud, 2016. "The World Is Not Enough! Small Open Economies and Regional Dependence," Scandinavian Journal of Economics, Wiley Blackwell, vol. 118(1), pages 168-195, January.
    3. Arrigoni, Simone & Bobasu, Alina & Venditti, Fabrizio, 2020. "The simpler the better: measuring financial conditions for monetary policy and financial stability," Working Paper Series 2451, European Central Bank.
    4. Lucrezia Reichlin & Giovanni Ricco & Thomas Hasenzagl, 2020. "Financial Variables as Predictors of Real Growth Vulnerability," Documents de Travail de l'OFCE 2020-06, Observatoire Francais des Conjonctures Economiques (OFCE).
    5. Michael W. McCracken & Serena Ng, 2016. "FRED-MD: A Monthly Database for Macroeconomic Research," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(4), pages 574-589, October.
    6. Scott R Baker & Nicholas Bloom & Stephen J Terry, 2024. "Using Disasters to Estimate the Impact of Uncertainty," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 91(2), pages 720-747.
    7. Claessens, Stijn & Kose, M. Ayhan & Terrones, Marco E., 2012. "How do business and financial cycles interact?," Journal of International Economics, Elsevier, vol. 87(1), pages 178-190.
    8. 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.
    9. Mr. Ananthakrishnan Prasad & Mr. Selim A Elekdag & Mr. Phakawa Jeasakul & Romain Lafarguette & Mr. Adrian Alter & Alan Xiaochen Feng & Changchun Wang, 2019. "Growth at Risk: Concept and Application in IMF Country Surveillance," IMF Working Papers 2019/036, International Monetary Fund.
    10. Figueres, Juan Manuel & Jarociński, Marek, 2020. "Vulnerable growth in the euro area: Measuring the financial conditions," Economics Letters, Elsevier, vol. 191(C).
    11. 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.
    12. Scott R. Baker & Nicholas Bloom & Steven J. Davis & Stephen J. Terry, 2020. "COVID-Induced Economic Uncertainty," NBER Working Papers 26983, National Bureau of Economic Research, Inc.
    13. Frederic S. Mishkin, 2011. "Over the Cliff: From the Subprime to the Global Financial Crisis," Journal of Economic Perspectives, American Economic Association, vol. 25(1), pages 49-70, Winter.
    14. repec:wrk:wrkemf:34 is not listed on IDEAS
    15. Laura E. Jackson & M. Ayhan Kose & Christopher Otrok & Michael T. Owyang, 2016. "Specification and Estimation of Bayesian Dynamic Factor Models: A Monte Carlo Analysis with an Application to Global House Price Comovement," Advances in Econometrics, in: Dynamic Factor Models, volume 35, pages 361-400, Emerald Group Publishing Limited.
    16. Eugenio Cerutti & Stijn Claessens & Andrew K. Rose, 2019. "How Important is the Global Financial Cycle? Evidence from Capital Flows," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 67(1), pages 24-60, March.
    17. Tomohiro Ando & Ruey S. Tsay, 2011. "Quantile regression models with factor‐augmented predictors and information criterion," Econometrics Journal, Royal Economic Society, vol. 14, pages 1-24, February.
    18. Martin B. Haugh & Octavio Ruiz Lacedelli, 2020. "Scenario analysis for derivative portfolios via dynamic factor models," Quantitative Finance, Taylor & Francis Journals, vol. 20(4), pages 547-571, April.
    19. Mr. Tobias Adrian & Mr. James Morsink & Miss Liliana B Schumacher, 2020. "Stress Testing at the IMF," IMF Departmental Papers / Policy Papers 2020/001, International Monetary Fund.
    20. Lutz Kilian & Simone Manganelli, 2008. "The Central Banker as a Risk Manager: Estimating the Federal Reserve's Preferences under Greenspan," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(6), pages 1103-1129, September.
    21. Busetti, Fabio & Caivano, Michele & Delle Monache, Davide & Pacella, Claudia, 2021. "The time-varying risk of Italian GDP," Economic Modelling, Elsevier, vol. 101(C).
    22. In Choi & Dukpa Kim & Yun Jung Kim & Noh‐Sun Kwark, 2018. "A multilevel factor model: Identification, asymptotic theory and applications," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(3), pages 355-377, April.
    23. Borio, Claudio & Drehmann, Mathias & Tsatsaronis, Kostas, 2014. "Stress-testing macro stress testing: Does it live up to expectations?," Journal of Financial Stability, Elsevier, vol. 12(C), pages 3-15.
    24. Lucia Alessi & Eric Ghysels & Luca Onorante & Richard Peach & Simon Potter, 2014. "Central Bank Macroeconomic Forecasting During the Global Financial Crisis: The European Central Bank and Federal Reserve Bank of New York Experiences," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(4), pages 483-500, October.
    25. Rodríguez-Caballero, Carlos Vladimir & Caporin, Massimiliano, 2019. "A multilevel factor approach for the analysis of CDS commonality and risk contribution," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 63(C).
    26. Davide Delle Monache & Andrea De Polis & Ivan Petrella, 2024. "Modeling and Forecasting Macroeconomic Downside Risk," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 42(3), pages 1010-1025, July.
    27. repec:hal:spmain:info:hdl:2441/4nn4ojjkth8qe9ci5b0hpu7ala is not listed on IDEAS
    28. Mark D. Flood & George G. Korenko, 2015. "Systematic scenario selection: stress testing and the nature of uncertainty," Quantitative Finance, Taylor & Francis Journals, vol. 15(1), pages 43-59, January.
    29. Leif Anders Thorsrud, 2020. "Words are the New Numbers: A Newsy Coincident Index of the Business Cycle," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(2), pages 393-409, April.
    30. Oliver Röhn & Aida Caldera Sánchez & Mikkel Hermansen & Morten Rasmussen, 2015. "Economic resilience: A new set of vulnerability indicators for OECD countries," OECD Economics Department Working Papers 1249, OECD Publishing.
    31. Francesca Loria & Christian Matthes & Donghai Zhang, 2019. "Assessing Macroeconomic Tail Risk," Working Paper 19-10, Federal Reserve Bank of Richmond.
    32. Hagfors, Lars Ivar & Bunn, Derek & Kristoffersen, Eline & Staver, Tiril Toftdahl & Westgaard, Sjur, 2016. "Modeling the UK electricity price distributions using quantile regression," Energy, Elsevier, vol. 102(C), pages 231-243.
    33. Giglio, Stefano & Kelly, Bryan & Pruitt, Seth, 2016. "Systemic risk and the macroeconomy: An empirical evaluation," Journal of Financial Economics, Elsevier, vol. 119(3), pages 457-471.
    34. Thomas Breuer & Martin Jandacka & Klaus Rheinberger & Martin Summer, 2009. "How to Find Plausible, Severe and Useful Stress Scenarios," International Journal of Central Banking, International Journal of Central Banking, vol. 5(3), pages 205-224, September.
    35. Adrian, Tobias & Duarte, Fernando & Grinberg, Federico & Mancini-Griffoli, Tommaso, 2018. "Monetary Policy and Financial Conditions: A Cross-Country Study," CEPR Discussion Papers 12681, C.E.P.R. Discussion Papers.
    36. Ravazzolo Francesco & Rothman Philip, 2016. "Oil-price density forecasts of US GDP," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(4), pages 441-453, September.
    37. Jushan Bai, 2003. "Inferential Theory for Factor Models of Large Dimensions," Econometrica, Econometric Society, vol. 71(1), pages 135-171, January.
    38. Tobias Adrian & Nellie Liang, 2018. "Monetary Policy, Financial Conditions, and Financial Stability," International Journal of Central Banking, International Journal of Central Banking, vol. 14(1), pages 73-131, January.
    39. Piergiorgio Alessandri & Leonardo Del Vecchio & Arianna Miglietta, 2019. "Financial Conditions and 'Growth at Risk' in Italy," Temi di discussione (Economic working papers) 1242, Bank of Italy, Economic Research and International Relations Area.
    40. Matheson, Troy D., 2012. "Financial conditions indexes for the United States and euro area," Economics Letters, Elsevier, vol. 115(3), pages 441-446.
    41. Scott Brave & R. Andrew Butters, 2012. "Diagnosing the Financial System: Financial Conditions and Financial Stress," International Journal of Central Banking, International Journal of Central Banking, vol. 8(2), pages 191-239, June.
    42. Antoine A. Djogbenou, 2020. "Comovements in the real activity of developed and emerging economies: A test of global versus specific international factors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(3), pages 344-370, April.
    43. Steffen R. Henzel & Malte Rengel, 2017. "Dimensions Of Macroeconomic Uncertainty: A Common Factor Analysis," Economic Inquiry, Western Economic Association International, vol. 55(2), pages 843-877, April.
    44. Riccardo Rebonato, 2019. "A financially justifiable and practically implementable approach to coherent stress testing," Quantitative Finance, Taylor & Francis Journals, vol. 19(5), pages 827-842, May.
    45. Kristensen Johannes Tang, 2014. "Factor-based forecasting in the presence of outliers: Are factors better selected and estimated by the median than by the mean?," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 18(3), pages 309-338, May.
    46. Gianni De Nicolò & Marcella Lucchetta, 2017. "Forecasting Tail Risks," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(1), pages 159-170, January.
    47. Paul Glasserman & Chulmin Kang & Wanmo Kang, 2015. "Stress scenario selection by empirical likelihood," Quantitative Finance, Taylor & Francis Journals, vol. 15(1), pages 25-41, January.
    48. Jushan Bai & Serena Ng, 2008. "Extremum Estimation when the Predictors are Estimated from Large Panels," Annals of Economics and Finance, Society for AEF, vol. 9(2), pages 201-222, November.
    49. Kajal Lahiri & Xuguang Sheng, 2010. "Measuring forecast uncertainty by disagreement: The missing link," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(4), pages 514-538.
    50. Mary Amiti & Patrick McGuire & David E. Weinstein, 2019. "International Bank Flows and the Global Financial Cycle," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 67(1), pages 61-108, March.
    51. Jan Hatzius & Peter Hooper & Frederic S. Mishkin & Kermit L. Schoenholtz & Mark W. Watson, 2010. "Financial Conditions Indexes: A Fresh Look after the Financial Crisis," NBER Working Papers 16150, National Bureau of Economic Research, Inc.
    52. Mr. Nicolas Arregui & Mr. Selim A Elekdag & Mr. Gaston Gelos & Romain Lafarguette & Dulani Seneviratne, 2018. "Can Countries Manage Their Financial Conditions Amid Globalization?," IMF Working Papers 2018/015, International Monetary Fund.
    53. Alessi, Lucia & Barigozzi, Matteo & Capasso, Marco, 2010. "Improved penalization for determining the number of factors in approximate factor models," Statistics & Probability Letters, Elsevier, vol. 80(23-24), pages 1806-1813, December.
    54. Hallin, Marc & Liska, Roman, 2011. "Dynamic factors in the presence of blocks," Journal of Econometrics, Elsevier, vol. 163(1), pages 29-41, July.
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    Cited by:

    1. Fresoli, Diego & Poncela, Pilar & Ruiz, Esther, 2023. "Ignoring cross-correlated idiosyncratic components when extracting factors in dynamic factor models," Economics Letters, Elsevier, vol. 230(C).

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    More about this item

    Keywords

    Growth vulnerability; multi-level factor model; stressed growth;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • F44 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - International Business Cycles
    • F47 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Forecasting and Simulation: Models and Applications
    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models

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