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When central bank research meets Google search: A sentiment index of global financial stress

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  • Stolbov, Mikhail
  • Shchepeleva, Maria
  • Karminsky, Alexander

Abstract

We construct a sentiment-based index of global financial stress (s-GFS index) for the period January 2004-December 2020. It builds on a novel methodological approach, which synthesizes the intensity of Google search for specific terms and word collocations related to financial instability and their prior selection based on the titles and abstracts of more than 2,000 working papers posted on the Basel Bank for International Settlements Central Bank Research Hub. The s-GFS index obtained by means of sparse principal component analysis (PCA) accurately captures major episodes of global financial instability during the observation period, playing a pivotal role for the US financial stress as well as industrial production in the USA, the Eurozone and China. It also Granger causes several well-known measures of global financial instability based on sentiment and “hard” data, e.g. the VIX index, as well as the overall dynamics of the global financial cycle, thereby emphasizing the usefulness of sentiment-based measures in monitoring worldwide financial stress.

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  • Stolbov, Mikhail & Shchepeleva, Maria & Karminsky, Alexander, 2022. "When central bank research meets Google search: A sentiment index of global financial stress," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 81(C).
    • Handle: RePEc:eee:intfin:v:81:y:2022:i:c:s1042443122001640
    DOI: 10.1016/j.intfin.2022.101692
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    as
    1. Andres Algaba & David Ardia & Keven Bluteau & Samuel Borms & Kris Boudt, 2020. "Econometrics Meets Sentiment: An Overview Of Methodology And Applications," Journal of Economic Surveys, Wiley Blackwell, vol. 34(3), pages 512-547, July.
    2. Gao, Zhenyu & Ren, Haohan & Zhang, Bohui, 2020. "Googling Investor Sentiment around the World," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 55(2), pages 549-580, March.
    3. Mittnik, Stefan & Semmler, Willi, 2013. "The real consequences of financial stress," Journal of Economic Dynamics and Control, Elsevier, vol. 37(8), pages 1479-1499.
    4. Ehrmann, Michael & Wabitsch, Alena, 2022. "Central bank communication with non-experts – A road to nowhere?," Journal of Monetary Economics, Elsevier, vol. 127(C), pages 69-85.
    5. Luc Laeven & Fabian Valencia, 2020. "Systemic Banking Crises Database II," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 68(2), pages 307-361, June.
    6. Svetlana Borovkova & Evgeny Garmaev & Philip Lammers & Jordi Rustige, 2017. "SenSR: A sentiment-based systemic risk indicator," DNB Working Papers 553, Netherlands Central Bank, Research Department.
    7. Reuven Glick & Michael M. Hutchison, 1999. "Banking and currency crises; how common are twins?," Proceedings, Federal Reserve Bank of San Francisco, issue Sep.
    8. Istrefi, Klodiana & Odendahl, Florens & Sestieri, Giulia, 2023. "Fed communication on financial stability concerns and monetary policy decisions: Revelations from speeches," Journal of Banking & Finance, Elsevier, vol. 151(C).
    9. Markku Lanne & Henri Nyberg, 2016. "Generalized Forecast Error Variance Decomposition for Linear and Nonlinear Multivariate Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(4), pages 595-603, August.
    10. Kremer, Manfred & Lo Duca, Marco & Holló, Dániel, 2012. "CISS - a composite indicator of systemic stress in the financial system," Working Paper Series 1426, European Central Bank.
    11. Metiu, Norbert & Hilberg, Björn & Grill, Michael, 2016. "Credit constraints and the international propagation of US financial shocks," Journal of Banking & Finance, Elsevier, vol. 72(C), pages 67-80.
    12. Arina Wischnewsky & David‐Jan Jansen & Matthias Neuenkirch, 2021. "Financial stability and the Fed: Evidence from congressional hearings," Economic Inquiry, Western Economic Association International, vol. 59(3), pages 1192-1214, July.
    13. 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.
    14. Wang, Yizhi & Lucey, Brian M. & Vigne, Samuel A. & Yarovaya, Larisa, 2022. "The Effects of Central Bank Digital Currencies News on Financial Markets," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    15. repec:ecb:ecbwps:20111426 is not listed on IDEAS
    16. Toda, Hiro Y. & Yamamoto, Taku, 1995. "Statistical inference in vector autoregressions with possibly integrated processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 225-250.
    17. Munday, Tim & Brookes, James, 2021. "Mark my words: the transmission of central bank communication to the general public via the print media," Bank of England working papers 944, Bank of England.
    18. 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.
    19. Mr. Fabio Comelli & Ms. Sumiko Ogawa, 2021. "What Can We Learn from Financial Stability Reports?," IMF Working Papers 2021/200, International Monetary Fund.
    20. Lo Duca, Marco & Koban, Anne & Basten, Marisa & Bengtsson, Elias & Klaus, Benjamin & Kusmierczyk, Piotr & Lang, Jan Hannes & Detken, Carsten & Peltonen, Tuomas, 2017. "A new database for financial crises in European countries," Occasional Paper Series 194, European Central Bank.
    21. Eleni Kalamara & Arthur Turrell & Chris Redl & George Kapetanios & Sujit Kapadia, 2022. "Making text count: Economic forecasting using newspaper text," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(5), pages 896-919, August.
    22. Nicolas Woloszko, 2020. "Tracking activity in real time with Google Trends," OECD Economics Department Working Papers 1634, OECD Publishing.
    23. Park, Cyn-Young & Mercado, Rogelio V., 2014. "Determinants of financial stress in emerging market economies," Journal of Banking & Finance, Elsevier, vol. 45(C), pages 199-224.
    24. Zohair Alam & Mr. Adrian Alter & Jesse Eiseman & Mr. Gaston Gelos & Mr. Heedon Kang & Mr. Machiko Narita & Erlend Nier & Naixi Wang, 2019. "Digging Deeper--Evidence on the Effects of Macroprudential Policies from a New Database," IMF Working Papers 2019/066, International Monetary Fund.
    25. Tim Loughran & Bill McDonald, 2020. "Textual Analysis in Finance," Annual Review of Financial Economics, Annual Reviews, vol. 12(1), pages 357-375, December.
    26. Diks, Cees & Panchenko, Valentyn, 2006. "A new statistic and practical guidelines for nonparametric Granger causality testing," Journal of Economic Dynamics and Control, Elsevier, vol. 30(9-10), pages 1647-1669.
    27. Armelius, Hanna & Bertsch, Christoph & Hull, Isaiah & Zhang, Xin, 2020. "Spread the Word: International spillovers from central bank communication," Journal of International Money and Finance, Elsevier, vol. 103(C).
    28. Christian Brownlees & Robert F. Engle, 2017. "SRISK: A Conditional Capital Shortfall Measure of Systemic Risk," Review of Financial Studies, Society for Financial Studies, vol. 30(1), pages 48-79.
    29. Beutel, Johannes & Metiu, Norbert & Stockerl, Valentin, 2021. "Toothless tiger with claws? Financial stability communication, expectations, and risk-taking," Journal of Monetary Economics, Elsevier, vol. 120(C), pages 53-69.
    30. Shapiro, Adam Hale & Sudhof, Moritz & Wilson, Daniel J., 2022. "Measuring news sentiment," Journal of Econometrics, Elsevier, vol. 228(2), pages 221-243.
    31. Mallick, Sushanta K. & Sousa, Ricardo M., 2013. "The real effects of financial stress in the Eurozone," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 1-17.
    32. Fernandez, Raul & Palma Guizar, Brenda & Rho, Caterina, 2021. "A sentiment-based risk indicator for the Mexican financial sector," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 2(3).
    33. Ricardo Correa & Keshav Garud & Juan M. Londono & Nathan Mislang, 2017. "Constructing a Dictionary for Financial Stability," IFDP Notes 2017-06-28, Board of Governors of the Federal Reserve System (U.S.).
    34. Bholat, David & Broughton, Nida & Ter Meer, Janna & Walczak, Eryk, 2019. "Enhancing central bank communications using simple and relatable information," Journal of Monetary Economics, Elsevier, vol. 108(C), pages 1-15.
    35. Ardia, David & Bluteau, Keven & Boudt, Kris, 2019. "Questioning the news about economic growth: Sparse forecasting using thousands of news-based sentiment values," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1370-1386.
    36. Eijffinger, Sylvester C.W. & Karataş, Bilge, 2020. "Together or apart? The relationship between currency and banking crises," Journal of Banking & Finance, Elsevier, vol. 119(C).
    37. 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.
    38. Fadejeva, Ludmila & Feldkircher, Martin & Reininger, Thomas, 2017. "International spillovers from Euro area and US credit and demand shocks: A focus on emerging Europe," Journal of International Money and Finance, Elsevier, vol. 70(C), pages 1-25.
    39. Chen, Pu & Semmler, Willi, 2018. "Financial stress, regime switching and spillover effects: Evidence from a multi-regime global VAR model," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 318-348.
    40. Manela, Asaf & Moreira, Alan, 2017. "News implied volatility and disaster concerns," Journal of Financial Economics, Elsevier, vol. 123(1), pages 137-162.
    41. Benjamin Born & Michael Ehrmann & Marcel Fratzscher, 2014. "Central Bank Communication on Financial Stability," Economic Journal, Royal Economic Society, vol. 124(577), pages 701-734, June.
    42. Larsen, Vegard H. & Thorsrud, Leif A., 2019. "The value of news for economic developments," Journal of Econometrics, Elsevier, vol. 210(1), pages 203-218.
    43. Tim Loughran & Bill Mcdonald, 2016. "Textual Analysis in Accounting and Finance: A Survey," Journal of Accounting Research, Wiley Blackwell, vol. 54(4), pages 1187-1230, September.
    44. Cees Diks & Marcin Wolski, 2016. "Nonlinear Granger Causality: Guidelines for Multivariate Analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(7), pages 1333-1351, November.
    45. Jon Ellingsen & Vegard H. Larsen & Leif Anders Thorsrud, 2022. "News media versus FRED‐MD for macroeconomic forecasting," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(1), pages 63-81, January.
    46. Ms. Sònia Muñoz & Mr. Samir Jahjah & Mr. Martin Cihak & Ms. Sharika Teh Sharifuddin & Mr. Kalin I Tintchev, 2012. "Financial Stability Reports: What Are they Good for?," IMF Working Papers 2012/001, International Monetary Fund.
    47. Phillip J. Monin, 2019. "The OFR Financial Stress Index," Risks, MDPI, vol. 7(1), pages 1-21, February.
    48. Zijia Du & Alan Guoming Huang & Russ Wermers & Wenfeng Wu, 2022. "Language and Domain Specificity: A Chinese Financial Sentiment Dictionary [The effects of analyst-country institutions on biased research: Evidence from target prices]," Review of Finance, European Finance Association, vol. 26(3), pages 673-719.
    49. Jun, Seung-Pyo & Yoo, Hyoung Sun & Choi, San, 2018. "Ten years of research change using Google Trends: From the perspective of big data utilizations and applications," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 69-87.
    50. 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.
    51. Lawson, Jeremy & Watt, Abigail & Martinez, Carolina & Fu, Rong, 2019. "Chinese Financial Conditions and their Spillovers to the Global Economy and Markets," CEPR Discussion Papers 14065, C.E.P.R. Discussion Papers.
    52. Chengyu Huang & Sean Simpson & Daria Ulybina & Agustin Roitman, 2019. "News-based Sentiment Indicators," IMF Working Papers 2019/273, International Monetary Fund.
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    More about this item

    Keywords

    Financial stability; Financial stress; Google trends; Sentiment index; Sparse principal component analysis;
    All these keywords.

    JEL classification:

    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G41 - Financial Economics - - Behavioral Finance - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making in Financial Markets

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