IDEAS home Printed from https://ideas.repec.org/p/ces/ceswps/_7839.html
   My bibliography  Save this paper

Uncertainty Shocks and Financial Crisis Indicators

Author

Listed:
  • Nikolay Hristov
  • Markus Roth

Abstract

The current paper broadens the understanding of the role played by uncertainty in the context of macroeconomic fluctuations. It focuses on the implications of uncertainty shocks for indicators that tend to precede financial crises. In an empirical analysis we show for a set of four euro area countries that negative uncertainty shocks, while boosting economic activity, are followed by unfavorable reactions of financial crisis indicators. We conclude that standard uncertainty measures contain some useful information on the potential buildup of vulnerabilities in the financial system.

Suggested Citation

  • Nikolay Hristov & Markus Roth, 2019. "Uncertainty Shocks and Financial Crisis Indicators," CESifo Working Paper Series 7839, CESifo.
    • Handle: RePEc:ces:ceswps:_7839
    as

    Download full text from publisher

    File URL: https://www.cesifo.org/DocDL/cesifo1_wp7839.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Caggiano, Giovanni & Castelnuovo, Efrem & Pellegrino, Giovanni, 2017. "Estimating the real effects of uncertainty shocks at the Zero Lower Bound," European Economic Review, Elsevier, vol. 100(C), pages 257-272.
    2. Hyman P. Minsky, 1977. "The Financial Instability Hypothesis: An Interpretation of Keynes and an Alternative to“Standard” Theory," Challenge, Taylor & Francis Journals, vol. 20(1), pages 20-27, March.
    3. Benjamin Born & Sebastian Breuer & Steffen Elstner, 2018. "Uncertainty and the Great Recession," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 80(5), pages 951-971, October.
    4. Beutel, Johannes & List, Sophia & von Schweinitz, Gregor, 2018. "An evaluation of early warning models for systemic banking crises: Does machine learning improve predictions?," Discussion Papers 48/2018, Deutsche Bundesbank.
    5. Drehmann, Mathias & Juselius, Mikael, 2014. "Evaluating early warning indicators of banking crises: Satisfying policy requirements," International Journal of Forecasting, Elsevier, vol. 30(3), pages 759-780.
    6. Bonciani, Dario & Roye, Björn van, 2016. "Uncertainty shocks, banking frictions and economic activity," Journal of Economic Dynamics and Control, Elsevier, vol. 73(C), pages 200-219.
    7. Atif Mian & Amir Sufi & Emil Verner, 2017. "Household Debt and Business Cycles Worldwide," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(4), pages 1755-1817.
    8. Anna Zabai, 2017. "Household debt: recent developments and challenges," BIS Quarterly Review, Bank for International Settlements, December.
    9. Giovanni Dell’ariccia & Deniz Igan & Luc Laeven, 2012. "Credit Booms and Lending Standards: Evidence from the Subprime Mortgage Market," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44, pages 367-384, March.
    10. Òscar Jordà & Moritz Schularick & Alan M. Taylor, 2016. "The great mortgaging: housing finance, crises and business cycles," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 31(85), pages 107-152.
    11. Meinen, Philipp & Roehe, Oke, 2017. "On measuring uncertainty and its impact on investment: Cross-country evidence from the euro area," European Economic Review, Elsevier, vol. 92(C), pages 161-179.
    12. Alessi, Lucia & Detken, Carsten, 2011. "Quasi real time early warning indicators for costly asset price boom/bust cycles: A role for global liquidity," European Journal of Political Economy, Elsevier, vol. 27(3), pages 520-533, September.
    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. Baker, Scott R. & Bloom, Nicholas, 2013. "Does uncertainty reduce growth? Using disasters as natural experiments," LSE Research Online Documents on Economics 121906, London School of Economics and Political Science, LSE Library.
    15. Christian Grimme & Marc Stöckli, 2018. "Measuring Macroeconomic Uncertainty in Germany," CESifo Forum, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 19(01), pages 46-50, March.
    16. Jon Danielsson & Marcela Valenzuela & Ilknur Zer, 2018. "Learning from History: Volatility and Financial Crises," The Review of Financial Studies, Society for Financial Studies, vol. 31(7), pages 2774-2805.
    17. John Geanakoplos, 2009. "The Leverage Cycle," Cowles Foundation Discussion Papers 1715R, Cowles Foundation for Research in Economics, Yale University, revised Jan 2010.
    18. Amélie Charles & Olivier Darné & Fabien Tripier, 2018. "Uncertainty and the Macroeconomy: Evidence from an uncertainty composite indicator," Post-Print hal-01757042, HAL.
    19. Mathias Drehmann & Kostas Tsatsaronis, 2014. "The credit-to-GDP gap and countercyclical capital buffers: questions and answers," BIS Quarterly Review, Bank for International Settlements, March.
    20. Pedro Bordalo & Nicola Gennaioli & Andrei Shleifer, 2018. "Diagnostic Expectations and Credit Cycles," Journal of Finance, American Finance Association, vol. 73(1), pages 199-227, February.
    21. 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.
    22. repec:zbw:bofrdp:2017_006 is not listed on IDEAS
    23. Mathias Drehmann & Claudio Borio & Kostas Tsatsaronis, 2012. "Characterising the financial cycle: don't lose sight of the medium term!," BIS Working Papers 380, Bank for International Settlements.
    24. Mathias Drehmann & Mikael Juselius, 2012. "Do debt service costs affect macroeconomic and financial stability?," BIS Quarterly Review, Bank for International Settlements, September.
    25. Arvind Krishnamurthy & Tyler Muir, 2017. "How Credit Cycles across a Financial Crisis," NBER Working Papers 23850, National Bureau of Economic Research, Inc.
    26. Castelnuovo, Efrem & Tran, Trung Duc, 2017. "Google It Up! A Google Trends-based Uncertainty index for the United States and Australia," Economics Letters, Elsevier, vol. 161(C), pages 149-153.
    27. 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.
    28. R?diger Bachmann & Steffen Elstner & Eric R. Sims, 2013. "Uncertainty and Economic Activity: Evidence from Business Survey Data," American Economic Journal: Macroeconomics, American Economic Association, vol. 5(2), pages 217-249, April.
    29. Carmen M. Reinhart & Kenneth S. Rogoff, 2009. "Is the 2007 US Sub-Prime Financial Crisis So Different?: An International Historical Comparison," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 56(3), pages 291-299.
    30. Mathias Drehmann & Claudio Borio & Kostas Tsatsaronis, 2011. "Anchoring Countercyclical Capital Buffers: The role of Credit Aggregates," International Journal of Central Banking, International Journal of Central Banking, vol. 7(4), pages 189-240, December.
    31. Markus K. Brunnermeier & Yuliy Sannikov, 2014. "A Macroeconomic Model with a Financial Sector," American Economic Review, American Economic Association, vol. 104(2), pages 379-421, February.
    32. Amélie Charles & Olivier Darné & Fabien Tripier, 2018. "Uncertainty and the macroeconomy: evidence from an uncertainty composite indicator," Applied Economics, Taylor & Francis Journals, vol. 50(10), pages 1093-1107, February.
    33. Nicholas Bloom, 2009. "The Impact of Uncertainty Shocks," Econometrica, Econometric Society, vol. 77(3), pages 623-685, May.
    34. Claudio Borio & Patrick McGuire, 2004. "Twin peaks in equity and housing prices?," BIS Quarterly Review, Bank for International Settlements, March.
    35. Clements, Michael P., 2008. "Consensus and uncertainty: Using forecast probabilities of output declines," International Journal of Forecasting, Elsevier, vol. 24(1), pages 76-86.
    36. 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.
    37. Moritz Schularick & Alan Taylor & Oscar Jorda, 2016. "The Great Mortgaging," 2016 Meeting Papers 185, Society for Economic Dynamics.
    38. Neil Bhutta & Benjamin J. Keys, 2016. "Interest Rates and Equity Extraction during the Housing Boom," American Economic Review, American Economic Association, vol. 106(7), pages 1742-1774, July.
    39. Jonas E. Arias & Juan F. Rubio‐Ramírez & Daniel F. Waggoner, 2018. "Inference Based on Structural Vector Autoregressions Identified With Sign and Zero Restrictions: Theory and Applications," Econometrica, Econometric Society, vol. 86(2), pages 685-720, March.
    40. Markus Holopainen & Peter Sarlin, 2017. "Toward robust early-warning models: a horse race, ensembles and model uncertainty," Quantitative Finance, Taylor & Francis Journals, vol. 17(12), pages 1933-1963, December.
    41. Sydney C. Ludvigson & Sai Ma & Serena Ng, 2021. "Uncertainty and Business Cycles: Exogenous Impulse or Endogenous Response?," American Economic Journal: Macroeconomics, American Economic Association, vol. 13(4), pages 369-410, October.
    42. John Geanakoplos, 2010. "The Leverage Cycle," NBER Chapters, in: NBER Macroeconomics Annual 2009, Volume 24, pages 1-65, National Bureau of Economic Research, Inc.
    43. Sudipto Bhattacharya & Charles A.E. Goodhart & Dimitrios P. Tsomocos & Alexandros P. Vardoulakis, 2015. "A Reconsideration of Minsky's Financial Instability Hypothesis," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(5), pages 931-973, August.
    44. Camba-Mendez, Gonzalo, 2012. "Conditional forecasts on SVAR models using the Kalman filter," Economics Letters, Elsevier, vol. 115(3), pages 376-378.
    45. John Geanakoplos, 2009. "The Leverage Cycle," Cowles Foundation Discussion Papers 1715, Cowles Foundation for Research in Economics, Yale University.
    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. Oliver Hülsewig & Horst Rottmann, 2022. "Euro Area Periphery Countries' Fiscal Policy and Monetary Policy Surprises," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(3), pages 544-568, June.
    2. Costantini, Mauro & Sousa, Ricardo M., 2022. "What uncertainty does to euro area sovereign bond markets: Flight to safety and flight to quality," Journal of International Money and Finance, Elsevier, vol. 122(C).
    3. Schüler, Yves S., 2020. "The impact of uncertainty and certainty shocks," Discussion Papers 14/2020, Deutsche Bundesbank.
    4. Chen, Hongyi & Tillmann, Peter, 2021. "Monetary policy uncertainty in China," Journal of International Money and Finance, Elsevier, vol. 110(C).
    5. MALATA, Alain K. & PINSHI, Christian P., 2020. "Système financier et COVID-19 : Un examen de l’impact en RDC [Financial system and COVID-19: A review of the impact in the DRC]," MPRA Paper 107772, University Library of Munich, Germany.
    6. PINSHI, Christian P., 2023. "Claims, Deposits and Financial Conditions in DR Congo: Impact of COVID-19 on the Financial System," MPRA Paper 117381, University Library of Munich, Germany.

    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. Hristov, Nikolay & Roth, Markus, 2022. "Uncertainty shocks and systemic-risk indicators," Journal of International Money and Finance, Elsevier, vol. 122(C).
    2. Stijn Claessens & M Ayhan Kose, 2018. "Frontiers of macrofinancial linkages," BIS Papers, Bank for International Settlements, number 95.
    3. Ambrocio, Gene, 2020. "Inflationary household uncertainty shocks," Bank of Finland Research Discussion Papers 5/2020, Bank of Finland.
    4. Borio, Claudio & Drehmann, Mathias & Xia, Fan Dora, 2020. "Forecasting recessions: the importance of the financial cycle," Journal of Macroeconomics, Elsevier, vol. 66(C).
    5. Himounet, Nicolas, 2022. "Searching the nature of uncertainty: Macroeconomic and financial risks VS geopolitical and pandemic risks," International Economics, Elsevier, vol. 170(C), pages 1-31.
    6. Beutel, Johannes & List, Sophia & von Schweinitz, Gregor, 2019. "Does machine learning help us predict banking crises?," Journal of Financial Stability, Elsevier, vol. 45(C).
    7. Ebrahimi Kahou, Mahdi & Lehar, Alfred, 2017. "Macroprudential policy: A review," Journal of Financial Stability, Elsevier, vol. 29(C), pages 92-105.
    8. Beutel, Johannes & List, Sophia & von Schweinitz, Gregor, 2018. "An evaluation of early warning models for systemic banking crises: Does machine learning improve predictions?," Discussion Papers 48/2018, Deutsche Bundesbank.
    9. John V. Duca & Lilit Popoyan & Susan M. Wachter, 2019. "Real Estate And The Great Crisis: Lessons For Macroprudential Policy," Contemporary Economic Policy, Western Economic Association International, vol. 37(1), pages 121-137, January.
    10. Michael Funke & Rongrong Sun & Linxu Zhu, 2022. "The credit risk of Chinese households: A micro‐level assessment," Pacific Economic Review, Wiley Blackwell, vol. 27(3), pages 254-276, August.
    11. Brandão-Marques, Luis & Chen, Qianying & Raddatz, Claudio & Vandenbussche, Jérôme & Xie, Peichu, 2022. "The riskiness of credit allocation and financial stability," Journal of Financial Intermediation, Elsevier, vol. 51(C).
    12. Nicolas Himounet & Francisco Serranito & Julien Vauday, 2021. "Uncertainty is bad for Business. Really?," Working Papers 2021.03, International Network for Economic Research - INFER.
    13. Bańbura, Marta & Albani, Maria & Ambrocio, Gene & Bursian, Dirk & Buss, Ginters & de Winter, Jasper & Gavura, Miroslav & Giordano, Claire & Júlio, Paulo & Le Roux, Julien & Lozej, Matija & Malthe-Thag, 2018. "Business investment in EU countries," Occasional Paper Series 215, European Central Bank.
    14. Oscar Claveria, 2021. "On the Aggregation of Survey-Based Economic Uncertainty Indicators Between Different Agents and Across Variables," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 17(1), pages 1-26, April.
    15. Drehmann, Mathias & Juselius, Mikael & Korinek, Anton, 2018. "Going with the flows: New borrowing, debt service and the transmission of credit booms," Bank of Finland Research Discussion Papers 10/2018, Bank of Finland.
    16. Mathias Drehmann & Mikael Juselius & Anton Korinek, 2018. "Going With the Flows: New Borrowing, Debt Service and the Transmission of Credit Booms," NBER Working Papers 24549, National Bureau of Economic Research, Inc.
    17. Jon Danielsson & Marcela Valenzuela & Ilknur Zer, 2023. "The Impact of Risk Cycles on Business Cycles: A Historical View," The Review of Financial Studies, Society for Financial Studies, vol. 36(7), pages 2922-2961.
    18. repec:zbw:bofitp:2018_012 is not listed on IDEAS
    19. Oscar Claveria, 2021. "Disagreement on expectations: firms versus consumers," SN Business & Economics, Springer, vol. 1(12), pages 1-23, December.
    20. Oscar Claveria, 2020. "“Measuring and assessing economic uncertainty”," AQR Working Papers 2012003, University of Barcelona, Regional Quantitative Analysis Group, revised Jul 2020.
    21. Oscar Claveria, 2021. "Uncertainty indicators based on expectations of business and consumer surveys," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 48(2), pages 483-505, May.

    More about this item

    Keywords

    uncertainty; crisis indicators; structural macroeconomic shocks; sign restrictions;
    All these keywords.

    JEL classification:

    • D89 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Other
    • 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
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G01 - Financial Economics - - General - - - Financial Crises

    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:ces:ceswps:_7839. 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: Klaus Wohlrabe (email available below). General contact details of provider: https://edirc.repec.org/data/cesifde.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.