IDEAS home Printed from https://ideas.repec.org/p/arx/papers/1508.05357.html
   My bibliography  Save this paper

Measuring Financial Sentiment to Predict Financial Instability: A New Approach based on Text Analysis

Author

Listed:
  • Paul Ormerod
  • Rickard Nyman
  • David Tuckett

Abstract

Following the financial crisis of the late 2000s, policy makers have shown considerable interest in monitoring financial stability. Several central banks now publish indices of financial stress, which are essentially based upon market related data. In this paper, we examine the potential for improving the indices by deriving information about emotion shifts in the economy. We report on a new approach, based on the content analysis of very large text databases, and termed directed algorithmic text analysis. The algorithm identifies, very rapidly, shifts through time in the relations between two core emotional groups. The method is robust. The same word-list is used to identify the two emotion groups across different studies. Membership of the words in the lists has been validated in psychological experiments. The words consist of everyday English words with no specific economic meaning. Initial results show promise. An emotion index capturing shifts between the two emotion groups in texts potentially referring to the whole US economy improves the one-quarter ahead consensus forecasts for real GDP growth. More specifically, the same indices are shown to Granger cause both the Cleveland and St Louis Federal Reserve Indices of Financial Stress.

Suggested Citation

  • Paul Ormerod & Rickard Nyman & David Tuckett, 2015. "Measuring Financial Sentiment to Predict Financial Instability: A New Approach based on Text Analysis," Papers 1508.05357, arXiv.org.
    • Handle: RePEc:arx:papers:1508.05357
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/1508.05357
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. I. Gilboa & W. A. Postlewaite & D. Schmeidler, 2009. "Probability and Uncertainty in Economic Modeling," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 10.
    2. 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.
    3. Scott R. Baker & Nicholas Bloom & Brandice Canes-Wrone & Steven J. Davis & Jonathan Rodden, 2014. "Why Has US Policy Uncertainty Risen since 1960?," American Economic Review, American Economic Association, vol. 104(5), pages 56-60, May.
    4. Kevin L. Kliesen & Michael T. Owyang & E. Katarina Vermann, 2012. "Disentangling diverse measures: a survey of financial stress indexes," Review, Federal Reserve Bank of St. Louis, issue Sep, pages 369-398.
    5. Banerjee, Anindya & Dolado, Juan J. & Galbraith, John W. & Hendry, David, 1993. "Co-integration, Error Correction, and the Econometric Analysis of Non-Stationary Data," OUP Catalogue, Oxford University Press, number 9780198288107.
    6. 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.
    7. Alexei Onatski & Noah Williams, 2003. "Modeling Model Uncertainty," Journal of the European Economic Association, MIT Press, vol. 1(5), pages 1087-1122, September.
    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. Irving Fisher Committee, 2017. "Big Data," IFC Bulletins, Bank for International Settlements, number 44.
    2. Omotosho, Babatunde S. & Tumala, Mohammed M., 2019. "A Text Mining Analysis of Central Bank Monetary Policy Communication in Nigeria," MPRA Paper 98850, University Library of Munich, Germany.
    3. Giuseppe Bruno, 2017. "Central Bank Communications: information extraction and semantic analysis," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Big Data, volume 44, Bank for International Settlements.
    4. Ghufran Ahmad & Muhammad Suhail Rizwan & Dawood Ashraf, 2021. "Systemic risk and macroeconomic forecasting: A globally applicable copula‐based approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(8), pages 1420-1443, December.
    5. María del Pilar Cruz & Hugo Peralta & Bruno Ávila, 2020. "Análisis de Sentimiento Basado en el Informe de Percepciones de Negocios del Banco Central de Chile," Working Papers Central Bank of Chile 862, Central Bank of Chile.

    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. Hebous, Shafik & Zimmermann, Tom, 2014. "Revisiting the Narrative Approach of Estimating Fiscal Multipliers," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100408, Verein für Socialpolitik / German Economic Association.
    2. 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.
    3. Shafik Hebous & Tom Zimmermann, 2018. "Revisiting the Narrative Approach of Estimating Tax Multipliers," Scandinavian Journal of Economics, Wiley Blackwell, vol. 120(2), pages 428-439, April.
    4. Ali Kabiri & Harold James & John Landon-Lane & David Tuckett & Rickard Nyman, 2020. "The Role of Sentiment in the Economy: 1920 to 1934," CESifo Working Paper Series 8336, CESifo.
    5. Vegard H. Larsen & Leif Anders Thorsrud, 2015. "The Value of News," Working Papers No 6/2015, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    6. Larsen, Vegard H. & Thorsrud, Leif A., 2019. "The value of news for economic developments," Journal of Econometrics, Elsevier, vol. 210(1), pages 203-218.
    7. Rosella Cappella Zielinski & Benjamin O Fordham & Kaija E Schilde, 2017. "What goes up, must come down? The asymmetric effects of economic growth and international threat on military spending," Journal of Peace Research, Peace Research Institute Oslo, vol. 54(6), pages 791-805, November.
    8. Georgios Bertsatos & Plutarchos Sakellaris & Mike G. Tsionas, 2022. "Extensions of the Pesaran, Shin and Smith (2001) bounds testing procedure," Empirical Economics, Springer, vol. 62(2), pages 605-634, February.
    9. Francesco Trebbi & Miao Ben Zhang, 2022. "The Cost of Regulatory Compliance in the United States," NBER Working Papers 30691, National Bureau of Economic Research, Inc.
    10. Francesco Giavazzi, 2013. "Comment," NBER Macroeconomics Annual, University of Chicago Press, vol. 27(1), pages 143-146.
    11. Natalia B. Boldyreva & Liudmila G. Reshetnikova & Elena A. Tarkhanova & Zhanna V. Pisarenko & Svetlana A. Kalayda, 2020. "The Impact of Tax Preferences on the Investment Attractiveness of Bonds for Retail Investors: The Case of Russia," JRFM, MDPI, vol. 13(4), pages 1-11, April.
    12. Rémy Charleroy & Michael A. Stemmer, 2014. "An Emerging Market Financial Conditions Index: A VAR Approach," Documents de travail du Centre d'Economie de la Sorbonne 14068, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    13. Candelon, Bertrand & Lieb, Lenard, 2013. "Fiscal policy in good and bad times," Journal of Economic Dynamics and Control, Elsevier, vol. 37(12), pages 2679-2694.
    14. Hayo, Bernd & Neumeier, Florian, 2017. "The (In)validity of the Ricardian equivalence theorem–findings from a representative German population survey," Journal of Macroeconomics, Elsevier, vol. 51(C), pages 162-174.
    15. Hartwell, Christopher A., 2014. "The impact of institutional volatility on financial volatility in transition economies : a GARCH family approach," BOFIT Discussion Papers 6/2014, Bank of Finland, Institute for Economies in Transition.
    16. Metiu, Norbert, 2021. "Anticipation effects of protectionist U.S. trade policies," Journal of International Economics, Elsevier, vol. 133(C).
    17. Matthias Krapf & David Staubli, 2020. "The Corporate Elasticity of Taxable Income: Event Study Evidence from Switzerland," CESifo Working Paper Series 8715, CESifo.
    18. Karel Mertens & Morten O. Ravn, 2012. "Empirical Evidence on the Aggregate Effects of Anticipated and Unanticipated US Tax Policy Shocks," American Economic Journal: Economic Policy, American Economic Association, vol. 4(2), pages 145-181, May.
    19. André Lapied & Thomas Rongiconi, 2013. "Ambiguity as a Source of Temptation: Modeling Unstable Beliefs," Working Papers halshs-00797631, HAL.
    20. Lorenzo Carbonari & Alessio Farcomeni & Filippo Maurici & Giovanni Trovato, 2023. "On the output effect of fiscal consolidation plans: a causal analysis," Working Paper series 23-18, Rimini Centre for Economic Analysis.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:arx:papers:1508.05357. 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: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    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.