IDEAS home Printed from https://ideas.repec.org/p/zbw/sfb649/sfb649dp2011-040.html

News-driven business cycles in SVARs

Author

Listed:
  • Bunk, Patrick

Abstract

Recent studies proposed news about future technology growth as the main driver of macroeconomic fluctuations. The identification of these news through stock prices in SVARs has been criticized in the past. Therefore, I propose a series of experiments to test that hypothesis by examining its implications. If business cycles are mainly driven by news then these shocks should be captured by other time series as well. I find that news shocks identified through S&P 500 prices exhibit the same dynamics as news identified through a broader stock price index, patent applications, the relative price of investment or shocks to the real interest rate. The common theme among these identifications is a technological change in productivity that demands time to build, economic activity and natural resources to come into effect.

Suggested Citation

  • Bunk, Patrick, 2011. "News-driven business cycles in SVARs," SFB 649 Discussion Papers 2011-040, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
  • Handle: RePEc:zbw:sfb649:sfb649dp2011-040
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/56758/1/664283012.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gerhard Bry & Charlotte Boschan, 1971. "Cyclical Analysis of Time Series: Selected Procedures and Computer Programs," NBER Books, National Bureau of Economic Research, Inc, number bry_71-1, March.
    Full references (including those not matched with items on IDEAS)

    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. Valentina Aprigliano & Danilo Liberati, 2021. "Using Credit Variables to Date Business Cycle and to Estimate the Probabilities of Recession in Real Time," Manchester School, University of Manchester, vol. 89(S1), pages 76-96, September.
    2. J. Cuñado & L. Gil-Alana & F. Gracia, 2009. "US stock market volatility persistence: evidence before and after the burst of the IT bubble," Review of Quantitative Finance and Accounting, Springer, vol. 33(3), pages 233-252, October.
    3. Harding, Don & Pagan, Adrian, 2011. "An Econometric Analysis of Some Models for Constructed Binary Time Series," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(1), pages 86-95.
    4. McGuckin, Robert H. & Ozyildirim, Ataman & Zarnowitz, Victor, 2007. "A More Timely and Useful Index of Leading Indicators," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 110-120, January.
    5. Peter McAdam, 2007. "USA, Japan and the Euro Area: Comparing Business-Cycle Features," International Review of Applied Economics, Taylor & Francis Journals, vol. 21(1), pages 135-156.
    6. Aastveit, Knut Are & Jore, Anne Sofie & Ravazzolo, Francesco, 2016. "Identification and real-time forecasting of Norwegian business cycles," International Journal of Forecasting, Elsevier, vol. 32(2), pages 283-292.
    7. Chun-Chang Lee & Chih-Min Liang & Hsing-Jung Chou, 2013. "Identifying Taiwan real estate cycle turning points- An application of the multivariate Markov-switching autoregressive Model," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 3(2), pages 1-1.
    8. Agnello, Luca & Nerlich, Carolin, 2012. "On the severity of economic downturns: Lessons from cross-country evidence," Economics Letters, Elsevier, vol. 117(1), pages 149-155.
    9. Mr. Thomas Helbling & Mr. Tamim Bayoumi, 2003. "Are they All in the Same Boat? the 2000-2001 Growth Slowdown and the G-7 Business Cycle Linkages," IMF Working Papers 2003/046, International Monetary Fund.
    10. Ghoshray, Atanu, 2021. "Are coffee farmers worse off in the long run?," 95th Annual Conference, March 29-30, 2021, Warwick, UK (Hybrid) 311084, Agricultural Economics Society - AES.
    11. Theobald, Thomas, 2013. "Markov Switching with Endogenous Number of Regimes and Leading Indicators in a Real-Time Business Cycle Forecast," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79911, Verein für Socialpolitik / German Economic Association.
    12. M.S.Rafiq, 2006. "Business Cycle Moderation - Good Policies or Good Luck: Evidence and Explanations for the Euro Area," Discussion Paper Series 2006_21, Department of Economics, Loughborough University.
    13. Pablo García S. & Camilo Pérez N., 2017. "Desigualdad, inflación, ciclos y crisis en Chile," Estudios de Economia, University of Chile, Department of Economics, vol. 44(2 Year 20), pages 185-221, December.
    14. Viviana Alejandra Alfonso & Luis Eduardo Arango Thomas & Fernando Arias & Jos� David Pulido, 2011. "Ciclos de negocios en Colombia: 1980-2010," Borradores de Economia 8328, Banco de la Republica.
    15. Vitor Castro, 2015. "The Portuguese business cycle: chronology and duration dependence," Empirical Economics, Springer, vol. 49(1), pages 325-342, August.
    16. Rachel Male, 2010. "Developing Country Business Cycles: Characterising the Cycle," Working Papers 663, Queen Mary University of London, School of Economics and Finance.
    17. Yongsung Chang & Sunoong Hwang, 2015. "Asymmetric Phase Shifts in U.S. Industrial Production Cycles," The Review of Economics and Statistics, MIT Press, vol. 97(1), pages 116-133, March.
    18. Ardo Hansson & Martti Randveer, 2013. "Economic adjustment in the Baltic Countries," Bank of Estonia Working Papers wp2013-1, Bank of Estonia.
    19. Ernst Konrad, 2009. "The impact of monetary policy surprises on asset return volatility: the case of Germany," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 23(2), pages 111-135, June.
    20. Pami Dua & Anirvan Banerji, 2011. "Predicting Recessions and Slowdowns: A Robust Approach," Working Papers id:4391, eSocialSciences.

    More about this item

    Keywords

    ;
    ;
    ;

    JEL classification:

    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

    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:zbw:sfb649:sfb649dp2011-040. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/sohubde.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.