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Stock market cycles and stock market development in Spain

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  • 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
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    Cited by:

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    2. OlaOluwa S. Yaya & Ahamuefula E. Ogbonna & Robert Mudida & Nuruddeen Abu, 2021. "Market efficiency and volatility persistence of cryptocurrency during pre‐ and post‐crash periods of Bitcoin: Evidence based on fractional integration," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 1318-1335, January.
    3. 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.
    4. Gil-Alana, Luis A. & Gupta, Rangan & Shittu, Olanrewaju I. & Yaya, OlaOluwa S., 2018. "Market efficiency of Baltic stock markets: A fractional integration approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 511(C), pages 251-262.
    5. Ibrahim M. Awad & Abdel-Rahman Al-Ewesat, 2017. "Volatility Persistence in Palestine Exchange Bulls and Bears: An Econometric Analysis of Time Series Data," Review of Economics & Finance, Better Advances Press, Canada, vol. 9, pages 83-97, August.
    6. Yaya, OlaOluwa S. & Ogbonna, Ahamuefula E. & Olubusoye, Olusanya E., 2019. "How persistent and dynamic inter-dependent are pricing of Bitcoin to other cryptocurrencies before and after 2017/18 crash?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 531(C).
    7. 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.
    8. 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.
    9. Candelon, B. & Metiu, N., 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).
    10. 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.
    11. 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.
    12. 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.

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    More about this item

    Keywords

    Stock market cycle; data generating process; financial development;
    All these keywords.

    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

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