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The role of sentiment in the US economy: 1920 to 1934

Author

Listed:
  • Ali Kabiri
  • Harold James
  • John Landon‐Lane
  • David Tuckett
  • Rickard Nyman

Abstract

This paper investigates the role of sentiment in the US economy from 1920 to 1934 using digitised articles from The Wall Street Journal. We derive a monthly sentiment index and use a 10‐variable vector error correction model to identify sentiment shocks that are orthogonal to fundamentals. We show the timing and strength of these shocks and their resultant effects on the economy using historical decompositions. Intermittent impacts of up to 15 per cent on industrial production, 10 per cent on the S&P 500 and bank loans, and 37 basis points for the credit risk spread suggest a large role for sentiment.

Suggested Citation

  • Ali Kabiri & Harold James & John Landon‐Lane & David Tuckett & Rickard Nyman, 2023. "The role of sentiment in the US economy: 1920 to 1934," Economic History Review, Economic History Society, vol. 76(1), pages 3-30, February.
  • Handle: RePEc:bla:ehsrev:v:76:y:2023:i:1:p:3-30
    DOI: 10.1111/ehr.13160
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    References listed on IDEAS

    as
    1. Kathryn M. E. Dominguez & Matthew D. Shapiro, 2013. "Forecasting the Recovery from the Great Recession: Is This Time Different?," American Economic Review, American Economic Association, vol. 103(3), pages 147-152, May.
    2. Thomas T. Hills & Eugenio Proto & Daniel Sgroi & Chanuki Illushka Seresinhe, 2019. "Historical analysis of national subjective wellbeing using millions of digitized books," Nature Human Behaviour, Nature, vol. 3(12), pages 1271-1275, December.
    3. De Long, J. Bradford & Shleifer, Andrei, 1991. "The stock market bubble of 1929: evidence from clsoed-end mutual funds," The Journal of Economic History, Cambridge University Press, vol. 51(3), pages 675-700, September.
    4. N. Gregory Mankiw & Jeffrey A. Miron, 1986. "The Changing Behavior of the Term Structure of Interest Rates," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 101(2), pages 211-228.
    5. Haddow, Abigail & Hare, Chris & Hooley, John & Shakir, Tamarah, 2013. "Macroeconomic uncertainty: what is it, how can we measure it and why does it matter?," Bank of England Quarterly Bulletin, Bank of England, vol. 53(2), pages 100-109.
    6. Christina D. Romer, 1990. "The Great Crash and the Onset of the Great Depression," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 105(3), pages 597-624.
    7. 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.
    8. Christina D. Romer & David H. Romer, 2010. "The Macroeconomic Effects of Tax Changes: Estimates Based on a New Measure of Fiscal Shocks," American Economic Review, American Economic Association, vol. 100(3), pages 763-801, June.
    9. Rappoport, Peter & White, Eugene N., 1993. "Was There a Bubble in the 1929 Stock Market?," The Journal of Economic History, Cambridge University Press, vol. 53(3), pages 549-574, September.
    10. Binder, Carola Conces, 2016. "Estimation of historical inflation expectations," Explorations in Economic History, Elsevier, vol. 61(C), pages 1-31.
    11. Paul C. Tetlock, 2007. "Giving Content to Investor Sentiment: The Role of Media in the Stock Market," Journal of Finance, American Finance Association, vol. 62(3), pages 1139-1168, June.
    12. Hyunyoung Choi & Hal Varian, 2012. "Predicting the Present with Google Trends," The Economic Record, The Economic Society of Australia, vol. 88(s1), pages 2-9, June.
    13. Jacob Turton & Ali Kabiri & David Tuckett & Robert Elliott Smith & David P. Vinson, 2021. "Differentiating Approach and Avoidance from Traditional Notions of Sentiment in Economic Contexts," Papers 2112.02607, arXiv.org.
    14. Calomiris, Charles W. & Mamaysky, Harry, 2019. "How news and its context drive risk and returns around the world," Journal of Financial Economics, Elsevier, vol. 133(2), pages 299-336.
    15. Karol Jan Borowiecki, 2017. "How Are You, My Dearest Mozart? Well-Being and Creativity of Three Famous Composers Based on Their Letters," The Review of Economics and Statistics, MIT Press, vol. 99(4), pages 591-605, July.
    16. White, Eugene N, 1990. "The Stock Market Boom and Crash of 1929 Revisited," Journal of Economic Perspectives, American Economic Association, vol. 4(2), pages 67-83, Spring.
    17. Diego García, 2013. "Sentiment during Recessions," Journal of Finance, American Finance Association, vol. 68(3), pages 1267-1300, June.
    18. Shiller, Robert J, 1981. "Do Stock Prices Move Too Much to be Justified by Subsequent Changes in Dividends?," American Economic Review, American Economic Association, vol. 71(3), pages 421-436, June.
    19. 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.
    20. 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.
    21. Bernanke, Ben S, 1983. "Nonmonetary Effects of the Financial Crisis in Propagation of the Great Depression," American Economic Review, American Economic Association, vol. 73(3), pages 257-276, June.
    22. Mathy, Gabriel & Ziebarth, Nicolas L., 2017. "How Much Does Political Uncertainty Matter? The Case of Louisiana under Huey Long," The Journal of Economic History, Cambridge University Press, vol. 77(1), pages 90-126, March.
    23. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
    24. Manela, Asaf & Moreira, Alan, 2017. "News implied volatility and disaster concerns," Journal of Financial Economics, Elsevier, vol. 123(1), pages 137-162.
    25. Alan J. Hanna & John D. Turner & Clive B. Walker, 2020. "News media and investor sentiment during bull and bear markets," The European Journal of Finance, Taylor & Francis Journals, vol. 26(14), pages 1377-1395, September.
    26. Cecchetti, Stephen G, 1992. "Prices during the Great Depression: Was the Deflation of 1930-1932 Really Unanticipated?," American Economic Review, American Economic Association, vol. 82(1), pages 141-156, March.
    27. Thomas T. Hills & Eugenio Proto & Daniel Sgroi & Chanuki Illushka Seresinhe, 2019. "Author Correction: Historical analysis of national subjective wellbeing using millions of digitized books," Nature Human Behaviour, Nature, vol. 3(12), pages 1343-1343, December.
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