IDEAS home Printed from https://ideas.repec.org/a/spr/specre/v6y2004i2p127-151.html
   My bibliography  Save this article

Stock market cycles and stock market development in Spain

Author

Listed:
  • Javier Biscarri

    ()

  • Fernando Gracia

    ()

Abstract

In this paper we use Spanish stock market data to identify the bull and bear phases of the market and to analyze its characteristics during the period 1941-2002. We compare these characteristics with those of the US and of two other European countries (Germany and the UK). Our sample is divided in two subperiods in order to account for differences induced by the process of development undergone by Spanish capital markets in the late 1980’s and early 1990’s. We find that the Spanish stock market has become increasingly more similar to those of the more developed countries, although some differences still persist. Additionally, we show that concordance of the Spanish stock market with other developed markets has increased quite significantly. Copyright Springer-Verlag Berlin/Heidelberg 2004

Suggested Citation

  • Javier Biscarri & Fernando Gracia, 2004. "Stock market cycles and stock market development in Spain," Spanish Economic Review, Springer;Spanish Economic Association, vol. 6(2), pages 127-151, July.
  • Handle: RePEc:spr:specre:v:6:y:2004:i:2:p:127-151 DOI: 10.1007/s10108-003-0078-7
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10108-003-0078-7
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Ahmed, Shaghil & Rogers, John H., 1995. "Government budget deficits and trade deficits Are present value constraints satisfied in long-term data?," Journal of Monetary Economics, Elsevier, pages 351-374.
    2. Granger, C. W. J., 1980. "Long memory relationships and the aggregation of dynamic models," Journal of Econometrics, Elsevier, vol. 14(2), pages 227-238, October.
    3. 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.
    4. Gil-Alana, L. A. & Robinson, P. M., 1997. "Testing of unit root and other nonstationary hypotheses in macroeconomic time series," Journal of Econometrics, Elsevier, vol. 80(2), pages 241-268, October.
    5. Lobato, Ignacio N., 1999. "A semiparametric two-step estimator in a multivariate long memory model," Journal of Econometrics, Elsevier, vol. 90(1), pages 129-153, May.
    6. Gil-Alana, Luis A., 2000. "Mean reversion in the real exchange rates," Economics Letters, Elsevier, vol. 69(3), pages 285-288, December.
    7. Wilcox, David W, 1989. "The Sustainability of Government Deficits: Implications of the Present-Value Borrowing Constraint," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 21(3), pages 291-306, August.
    8. Phillips, P C B, 1987. "Time Series Regression with a Unit Root," Econometrica, Econometric Society, pages 277-301.
    9. Gael M. Martin, 2000. "US deficit sustainability: a new approach based on multiple endogenous breaks," Journal of Applied Econometrics, John Wiley & Sons, Ltd., pages 83-105.
    10. Schwert, G. William, 1987. "Effects of model specification on tests for unit roots in macroeconomic data," Journal of Monetary Economics, Elsevier, vol. 20(1), pages 73-103, July.
    11. Trehan, Bharat & Walsh, Carl E., 1988. "Common trends, the government's budget constraint, and revenue smoothing," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 425-444.
    12. Michael Artis & Massimiliano Marcellino, "undated". "Fiscal Solvency and Fiscal Forecasting in Europe," Working Papers 142, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    13. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 39(3), pages 106-135.
    14. Hakkio, Craig S & Rush, Mark, 1991. "Is the Budget Deficit "Too Large?"," Economic Inquiry, Western Economic Association International, vol. 29(3), pages 429-445, July.
    15. Haug, Alfred A, 1991. "Cointegration and Government Borrowing Constraints: Evidence for the United States," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(1), pages 97-101, January.
    16. Uctum, Merih & Wickens, Michael, 2000. " Debt and Deficit Ceilings, and Sustainability of Fiscal Policies: An Intertemporal Analysis," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, pages 197-222.
    17. Phillips, P C B, 1987. "Time Series Regression with a Unit Root," Econometrica, Econometric Society, pages 277-301.
    18. Leybourne, S J & McCabe, B P M, 1994. "A Consistent Test for a Unit Root," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(2), pages 157-166, April.
    19. Quintos, Carmela E, 1995. "Sustainability of the Deficit Process with Structural Shifts," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(4), pages 409-417, October.
    20. Tanner, Evan & Liu, Peter, 1994. "Is the Budget Deficit "Too Large"?: Some Further Evidence," Economic Inquiry, Western Economic Association International, vol. 32(3), pages 511-518, July.
    21. William R. Parke, 1999. "What Is Fractional Integration?," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 632-638, November.
    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. 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.
    2. Gil-Alana, Luis A. & Shittu, Olanrewaju I. & Yaya, OlaOluwa S., 2014. "On the persistence and volatility in European, American and Asian stocks bull and bear markets," Journal of International Money and Finance, Elsevier, vol. 40(C), pages 149-162.
    3. Candelon Bertrand & Metiu Norbert, 2009. "Testing for Exceptional Bulls and Bears: a Non-Parametric Perspective," Research Memorandum 017, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    4. Candelon, Bertrand & Piplack, Jan & Straetmans, Stefan, 2008. "On measuring synchronization of bulls and bears: The case of East Asia," Journal of Banking & Finance, Elsevier, vol. 32(6), pages 1022-1035, June.
    5. Fabrice Hervé, 2006. "Les fonds de pension protègent-ils les investisseurs des évolutions du marché?," Working Papers CREGO 1060101, Université de Bourgogne - CREGO EA7317 Centre de recherches en gestion des organisations.
    6. Torre-Gallegos, Antonio de la & Bellini, Edith, 2009. "Las crisis bursátiles en España y su comparación con otros mercados internacionales: Análisis de sus principales características
      [Stock market crisis in Spain and their comparison with other intern
      ," MPRA Paper 26547, University Library of Munich, Germany.
    7. Luis A. Gil-Alana & Rangan Gupta & Olanrewaju I. Shittu & OlaOluwa S. Yaya, 2016. "Market Efficiency of Baltic Stock Markets: A Fractional Integration Approach," Working Papers 201617, University of Pretoria, Department of Economics.
    8. repec:bap:journl:170307 is not listed on IDEAS
    9. Alexander Erler & Christian Drescher & Damir Križanac, 2013. "The Fed’s TRAP," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 37(1), pages 136-149, January.
    10. Luis Alberiko & OlaOluwa S. Yaya & Olarenwaju I. Shittu, 2015. "Fractional integration and asymmetric volatility in european, asian and american bull and bear markets. Applications to high frequency stock data," NCID Working Papers 07/2015, Navarra Center for International Development, University of Navarra.

    More about this item

    Keywords

    Stock market cycle; data generating process; financial development;

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

    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:spr:specre:v:6:y:2004:i:2:p:127-151. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sonal Shukla) or (Rebekah McClure). General contact details of provider: http://www.springer.com .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.