IDEAS home Printed from https://ideas.repec.org/a/bla/obuest/v86y2024i2p314-334.html

Global Demand and Supply Sentiment: Evidence From Earnings Calls

Author

Listed:
  • Franz Ulrich Ruch
  • Temel Taskin

Abstract

This paper quantifies global demand and supply conditions and compares two major global recessions: the 2009 Great Recession and the COVID‐19 pandemic. First, we compute demand and supply sentiment by applying Natural Language Processing techniques on earnings call transcripts. Second, we corroborate our sentiment measure by identifying demand and supply shocks using a structural Bayesian vector autoregression model. The results highlight sharp contrast in the size of supply and demand conditions over time and across sectors. While the Great Recession was characterized by weak demand, COVID‐19 caused sizable disruptions to both demand and supply, with varying relative importance across major sectors. Furthermore, certain sub‐sectors, such as professional and business services, internet retail, and grocery/department stores, fared better than others during the pandemic.

Suggested Citation

  • Franz Ulrich Ruch & Temel Taskin, 2024. "Global Demand and Supply Sentiment: Evidence From Earnings Calls," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 86(2), pages 314-334, April.
    • Handle: RePEc:bla:obuest:v:86:y:2024:i:2:p:314-334
    DOI: 10.1111/obes.12587
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/obes.12587
    Download Restriction: no
    File URL: https://libkey.io/10.1111/obes.12587?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Alexander Bick & Adam Blandin & Karel Mertens, 2023. "Work from Home before and after the COVID-19 Outbreak," American Economic Journal: Macroeconomics, American Economic Association, vol. 15(4), pages 1-39, October.
    2. Blanchard, Olivier Jean & Quah, Danny, 1989. "The Dynamic Effects of Aggregate Demand and Supply Disturbances," American Economic Review, American Economic Association, vol. 79(4), pages 655-673, September.
    3. Michele Lenza & Giorgio E. Primiceri, 2022. "How to estimate a vector autoregression after March 2020," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(4), pages 688-699, June.
    4. Jacquier, Eric & Polson, Nicholas G & Rossi, Peter E, 1994. "Bayesian Analysis of Stochastic Volatility Models: Comments: Reply," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(4), pages 413-417, October.
    5. Dimitris Papanikolaou & Lawrence D W Schmidt, 2022. "Working Remotely and the Supply-Side Impact of COVID-19 [The unprecedented stock market reaction to COVID-19]," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 12(1), pages 53-111.
    6. Nick Bloom & Stephen Bond & John Van Reenen, 2007. "Uncertainty and Investment Dynamics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 74(2), pages 391-415.
    7. Kyle Jurado & Sydney C. Ludvigson & Serena Ng, 2015. "Measuring Uncertainty," American Economic Review, American Economic Association, vol. 105(3), pages 1177-1216, March.
    8. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    9. Felipe Benguria & Alan M. Taylor, 2020. "After the Panic: Are Financial Crises Demand or Supply Shocks? Evidence from International Trade," American Economic Review: Insights, American Economic Association, vol. 2(4), pages 509-526, December.
    10. Blanchard, Olivier Jean, 1989. "A Traditional Interpretation of Macroeconomic Fluctuations," American Economic Review, American Economic Association, vol. 79(5), pages 1146-1164, December.
    11. Elliott Ash & Stephen Hansen, 2023. "Text Algorithms in Economics," Annual Review of Economics, Annual Reviews, vol. 15(1), pages 659-688, September.
    12. Atif Mian & Amir Sufi, 2009. "The Consequences of Mortgage Credit Expansion: Evidence from the U.S. Mortgage Default Crisis," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(4), pages 1449-1496.
    13. Jing Cynthia Wu & Fan Dora Xia, 2016. "Measuring the Macroeconomic Impact of Monetary Policy at the Zero Lower Bound," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 48(2-3), pages 253-291, March.
    14. Jacquier, Eric & Polson, Nicholas G & Rossi, Peter E, 2002. "Bayesian Analysis of Stochastic Volatility Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 69-87, January.
    15. Ben S. Bernanke, 1983. "Irreversibility, Uncertainty, and Cyclical Investment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 98(1), pages 85-106.
    16. Tim Loughran & Bill Mcdonald, 2011. "When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks," Journal of Finance, American Finance Association, vol. 66(1), pages 35-65, February.
    17. David Baqaee & Emmanuel Farhi, 2022. "Supply and Demand in Disaggregated Keynesian Economies with an Application to the COVID-19 Crisis," American Economic Review, American Economic Association, vol. 112(5), pages 1397-1436, May.
    18. Guido Lorenzoni, 2009. "A Theory of Demand Shocks," American Economic Review, American Economic Association, vol. 99(5), pages 2050-2084, December.
    19. Marc-André Gosselin & Temel Taskin, 2023. "What Can Earnings Calls Tell Us About the Output Gap and Inflation in Canada?," Discussion Papers 2023-13, Bank of Canada.
    20. Martin S Eichenbaum & Sergio Rebelo & Mathias Trabandt, 2021. "The Macroeconomics of Epidemics [Economic activity and the spread of viral diseases: Evidence from high frequency data]," The Review of Financial Studies, Society for Financial Studies, vol. 34(11), pages 5149-5187.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. is not listed on IDEAS
    2. Tarek A. Hassan & Stephan Hollander & Aakash Kalyani & Markus Schwedeler & Ahmed Tahoun & Laurence van Lent, 2024. "Text as Data in Economic Analysis," Working Papers 2024-022, Federal Reserve Bank of St. Louis, revised 11 Sep 2025.
    3. Weber, Isabella M. & Wasner, Evan & Lang, Markus & Braun, Benjamin & van ’t Klooster, Jens, 2025. "Implicit coordination in sellers’ inflation: How cost shocks facilitate price hikes," Structural Change and Economic Dynamics, Elsevier, vol. 74(C), pages 690-712.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tarek A Hassan & Stephan Hollander & Laurence van Lent & Ahmed Tahoun, 2019. "Firm-Level Political Risk: Measurement and Effects," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(4), pages 2135-2202.
    2. Bhanu Pratap & Nalin Priyaranjan, 2023. "Macroeconomic effects of uncertainty: a Google trends-based analysis for India," Empirical Economics, Springer, vol. 65(4), pages 1599-1625, October.
    3. Ambrocio, Gene, 2017. "The real effects of overconfidence and fundamental uncertainty shocks," Research Discussion Papers 37/2017, Bank of Finland.
    4. Ruch,Franz Ulrich & Taskin,Temel, 2022. "Demand and Supply Shocks : Evidence from Corporate Earning Calls," Policy Research Working Paper Series 9922, The World Bank.
    5. Balcilar, Mehmet & Ozdemir, Zeynel Abidin & Ozdemir, Huseyin & Aygun, Gurcan & Wohar, Mark E., 2022. "The macroeconomic impact of economic uncertainty and financial shocks under low and high financial stress," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    6. Ansgar Belke & Pascal Goemans, 2021. "Uncertainty and nonlinear macroeconomic effects of fiscal policy in the US: a SEIVAR-based analysis," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 49(4), pages 623-646, May.
    7. Caroline Jardet & Cristina Jude & Menzie Chinn, 2023. "Foreign direct investment under uncertainty evidence from a large panel of countries," Review of International Economics, Wiley Blackwell, vol. 31(3), pages 854-885, August.
    8. Goemans, Pascal, 2023. "The impact of public consumption and investment in the euro area during periods of high and normal uncertainty," Economic Modelling, Elsevier, vol. 126(C).
    9. Xianbo Zhou & Zhuoran Chen, 2023. "The Impact of Uncertainty Shocks to Consumption under Different Confidence Regimes Based on a Stochastic Uncertainty-in-Mean TVAR Model," Sustainability, MDPI, vol. 15(4), pages 1-20, February.
    10. Ashton De Silva & Huu Nhan Duong & My Nguyen & Yen Ngoc Nguyen, 2023. "Bank risk in uncertain times: Do credit rationing and revenue diversification matter?," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 50(7-8), pages 1240-1273, July.
    11. Carlos Cañizares Martínez & Arne Gieseck, 2025. "The effects of macro uncertainty shocks in the euro area: a FAVAR approach," Empirical Economics, Springer, vol. 68(6), pages 2829-2872, June.
    12. Morikawa, Masayuki, 2019. "Uncertainty over production forecasts: An empirical analysis using monthly quantitative survey data," Journal of Macroeconomics, Elsevier, vol. 60(C), pages 163-179.
    13. Valcarcel, Victor J. & Wohar, Mark E., 2013. "Changes in the oil price-inflation pass-through," Journal of Economics and Business, Elsevier, vol. 68(C), pages 24-42.
    14. Eksi, Ozan & Onur Tas, Bedri Kamil, 2022. "Time-varying effect of uncertainty shocks on unemployment," Economic Modelling, Elsevier, vol. 110(C).
    15. Murad, S.M. Woahid & Pathan, Shams & Durand, Robert B. & Zheng, Chen, 2025. "Understanding Bank-Level Uncertainty: New insights into banking activity and its macroeconomic impacts," International Review of Economics & Finance, Elsevier, vol. 102(C).
    16. Martha Elena Delgado-Rojas & Hernán Rincón-Castro, 2017. "Incertidumbre acerca de la política fiscal y ciclo económico," Borradores de Economia 1008, Banco de la Republica de Colombia.
    17. Panagiotidis, Theodore & Printzis, Panagiotis, 2021. "Investment and uncertainty: Are large firms different from small ones?," Journal of Economic Behavior & Organization, Elsevier, vol. 184(C), pages 302-317.
    18. Gabriel P. Mathy, 2020. "How much did uncertainty shocks matter in the Great Depression?," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 14(2), pages 283-323, May.
    19. Daniel Dejuán & Corinna Ghirelli, 2018. "Policy uncertainty and investment in Spain," Working Papers 1848, Banco de España.
    20. Uribe, Jorge M. & Chuliá, Helena & Guillén, Montserrat, 2017. "Uncertainty, systemic shocks and the global banking sector: Has the crisis modified their relationship?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 50(C), pages 52-68.

    More about this item

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • 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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:obuest:v:86:y:2024:i:2:p:314-334. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/sfeixuk.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.