IDEAS home Printed from https://ideas.repec.org/p/hep/macppr/201601.html
   My bibliography  Save this paper

Animal Spirits, the Stock Market, and the Unemployment Rate: Some Evidence for German Data

Author

Listed:
  • Ulrich Fritsche

    (Universität Hamburg (University of Hamburg))

  • Christian Pierdzioch

    (Helmut-Schmidt-Universität (Helmut-Schmidt-University))

Abstract

Models recently studied by Farmer (2012, 2013, 2015) predict that, due to labor-market frictions and "animal spirits", stock-market fluctuations should Granger cause fluctuations of the unemployment rate. We performed several Granger-causality tests on more than half a century of data of German data to test this hypothesis. Confirming findings documented by Farmer (2015) for U.S. data, we found that the stock market Granger causes unemployment in the short run and the long run when we control for a deterministic trend in the unemployment rate. Results of a frequency-domain test show that, in the short run, feedback cannot be rejected, whereas the causality clearly runs from the stock market to the unemployment rate in the medium to long run.

Suggested Citation

  • Ulrich Fritsche & Christian Pierdzioch, 2016. "Animal Spirits, the Stock Market, and the Unemployment Rate: Some Evidence for German Data," Macroeconomics and Finance Series 201601, University of Hamburg, Department of Socioeconomics.
    • Handle: RePEc:hep:macppr:201601
    as

    Download full text from publisher

    File URL: https://www.wiso.uni-hamburg.de/repec/hepdoc/macppr_1_2016.pdf
    File Function: First version, 2016
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Roger Farmer, 2012. "The Stock Market Crash of 2008 Caused the Great Recession," 2012 Meeting Papers 145, Society for Economic Dynamics.
    2. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    3. Farmer, Roger E.A., 2012. "The stock market crash of 2008 caused the Great Recession: Theory and evidence," Journal of Economic Dynamics and Control, Elsevier, vol. 36(5), pages 693-707.
    4. 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.
    5. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    6. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    7. Breitung, Jorg & Candelon, Bertrand, 2006. "Testing for short- and long-run causality: A frequency-domain approach," Journal of Econometrics, Elsevier, vol. 132(2), pages 363-378, June.
    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. Ayad Hicham, 2020. "Government Expenditure and Economic Growth Nexus in Mena Countries: Frequency Domain Spectral Causality Analysis," Economics and Business, Sciendo, vol. 34(1), pages 60-77, January.
    2. Pan, Wei-Fong, 2018. "Does the stock market really cause unemployment? A cross-country analysis," The North American Journal of Economics and Finance, Elsevier, vol. 44(C), pages 34-43.
    3. Sibande, Xolani & Gupta, Rangan & Wohar, Mark E., 2019. "Time-varying causal relationship between stock market and unemployment in the United Kingdom: Historical evidence from 1855 to 2017," Journal of Multinational Financial Management, Elsevier, vol. 49(C), pages 81-88.
    4. Deniz Ilalan, 2018. "How US wages effect post-socialist European stock markets: an empirical study," Economics and Business Letters, Oviedo University Press, vol. 7(4), pages 179-188.
    5. Barbieri Hermitte, Riccardo & Cagnazzo, Alberto & Favero, Carlo A. & Felici, Francesco & Macauda, Valeria & Nucci, Francesco & Tegami, Cristian, 2023. "ITFIN: A stock-flow consistent model for the Italian economy," Economic Modelling, Elsevier, vol. 119(C).
    6. Ayesha Serfraz, 2018. "Analyzing Short-Run and Long-Run Causality between FDI Inflows, Labor Productivity and Education in Pakistan," Asian Journal of Economics and Empirical Research, Asian Online Journal Publishing Group, vol. 5(1), pages 36-59.

    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. Döpke, Jörg & Fritsche, Ulrich & Pierdzioch, Christian, 2017. "Predicting recessions with boosted regression trees," International Journal of Forecasting, Elsevier, vol. 33(4), pages 745-759.
    2. Prats Albentosa, María Asuncíon & Sandoval, Beatriz, 2020. "Does stock market capitalization cause GDP? A causality study for Central and Eastern European countries?," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 14, pages 1-29.
    3. Tsangyao Chang & Omid Ranjbar & Charl Jooste, 2017. "Stock Market Interactions between the BRICS and the United States: Evidence from Asymmetric Granger Causality Tests in the Frequency Domain," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 21(2), pages 297-320, Spring.
    4. Kayhan, Selim & Bayat, Tayfur & Yüzbaşı, Bahadir, 2013. "Government expenditures and trade deficits in Turkey: Time domain and frequency domain analyses," Economic Modelling, Elsevier, vol. 35(C), pages 153-158.
    5. Costantini, Valeria & Martini, Chiara, 2010. "The causality between energy consumption and economic growth: A multi-sectoral analysis using non-stationary cointegrated panel data," Energy Economics, Elsevier, vol. 32(3), pages 591-603, May.
    6. Alola, Andrew Adewale, 2022. "The nexus of renewable energy equity and agricultural commodities in the United States: Evidence of regime-switching and price bubbles," Energy, Elsevier, vol. 239(PD).
    7. Naser, Hanan, 2014. "On the cointegration and causality between Oil market, Nuclear Energy Consumption, and Economic Growth: Evidence from Developed Countries," MPRA Paper 65252, University Library of Munich, Germany, revised 25 Mar 2015.
    8. Pejman Bahramian & Andisheh Saliminezhad, 2021. "Does Capacity Utilization Predict Inflation? A Wavelet Based Evidence from United States," Computational Economics, Springer;Society for Computational Economics, vol. 58(4), pages 1103-1125, December.
    9. Troster, Victor & Shahbaz, Muhammad & Uddin, Gazi Salah, 2018. "Renewable energy, oil prices, and economic activity: A Granger-causality in quantiles analysis," Energy Economics, Elsevier, vol. 70(C), pages 440-452.
    10. repec:agr:journl:v:3(604):y:2015:i:3(604):p:75-92 is not listed on IDEAS
    11. Juergen Amann & Paul Middleditch, 2017. "Growth in a time of austerity: evidence from the UK," Scottish Journal of Political Economy, Scottish Economic Society, vol. 64(4), pages 349-375, September.
    12. Tiwari, Aviral Kumar & Mutascu, Mihai Ioan & Albulescu, Claudiu Tiberiu & Kyophilavong, Phouphet, 2015. "Frequency domain causality analysis of stock market and economic activity in India," International Review of Economics & Finance, Elsevier, vol. 39(C), pages 224-238.
    13. John D. Levendis, 2018. "Time Series Econometrics," Springer Texts in Business and Economics, Springer, number 978-3-319-98282-3, December.
    14. Kristoufek, Ladislav, 2017. "Has global warming modified the relationship between sunspot numbers and global temperatures?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 468(C), pages 351-358.
    15. Ming-Hsien YANG & Chih-She WU, 2015. "Revisit Export and GDP Nexus in China and Taiwan: A Rolling Window Granger Causality Test," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(3(604), A), pages 75-92, Autumn.
    16. Kırca, Mustafa & Canbay, Şerif & Pirali, Kerem, 2020. "Is the relationship between oil-gas prices index and economic growth in Turkey permanent?," Resources Policy, Elsevier, vol. 69(C).
    17. Katsoulacos Yannis & Konstantakopoulou Ioanna & Metsiou Eleni & Tsionas Efthymios, 2014. "Quantitative Price Tests in Antitrust Market Definition with an Application to the Savory Snacks Markets," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 12(1), pages 1-33, January.
    18. Ciner, Cetin, 2011. "Eurocurrency interest rate linkages: A frequency domain analysis," International Review of Economics & Finance, Elsevier, vol. 20(4), pages 498-505, October.
    19. Nyakabawo, Wendy & Miller, Stephen M. & Balcilar, Mehmet & Das, Sonali & Gupta, Rangan, 2015. "Temporal causality between house prices and output in the US: A bootstrap rolling-window approach," The North American Journal of Economics and Finance, Elsevier, vol. 33(C), pages 55-73.
    20. Tiwari, Aviral Kumar, 2012. "An empirical investigation of causality between producers' price and consumers' price indices in Australia in frequency domain," Economic Modelling, Elsevier, vol. 29(5), pages 1571-1578.
    21. Shakoor Ahmed & Khorshed Alam & Afzalur Rashid & Jeff Gow, 2020. "Militarisation, Energy Consumption, CO2 Emissions and Economic Growth in Myanmar," Defence and Peace Economics, Taylor & Francis Journals, vol. 31(6), pages 615-641, August.

    More about this item

    Keywords

    Cointegration; Granger causality; frequency domain; animal spirits; stock market; unemployment rate;
    All these keywords.

    JEL classification:

    • E12 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Keynes; Keynesian; Post-Keynesian; Modern Monetary Theory
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • 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

    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:hep:macppr:201601. 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: Ulrich Fritsche (email available below). General contact details of provider: https://edirc.repec.org/data/dwuhhde.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.