IDEAS home Printed from https://ideas.repec.org/a/prg/jnlpep/v2007y2007i4id309p291-302.html
   My bibliography  Save this article

Dynamic Analysis of Selected European Stock Markets

Author

Listed:
  • Jiří Trešl
  • Dagmar Blatná

Abstract

The behaviour of selected European stock indices in the period 2001-2005 was analysed. UKX (GB), DAX (Germany), CAC (France) and MIBTEL (Italy) represented well established West European markets, whereas PX-50 (Czech Republic), SKSM (Slovak Republic), BUX (Hungary) and WIG (Poland) were the examples of Central European emerging ones. The subject of this analysis were logarithmic daily returns computed from closing values of corresponding indices. Cross correlation function reached typical values 0.7 (West Europe) and 0.4 (Central Europe) excepting the Slovak Republic. The patterns of both common and solitary movements were revealed with the use of principal component and cluster analysis. To establish some dynamical relations in return time-series, vector autoregression models and Granger causality tests were employed. As for West Europe, the causal chain UKX_MIBTEL_DAX_CAC was revealed. On the other hand, the form of this chain for Central Europe was PX-50_BUX_WIG. Finally, the behaviour of both BUX and WIG returns was strongly determined by all West European counterparts.

Suggested Citation

  • Jiří Trešl & Dagmar Blatná, 2007. "Dynamic Analysis of Selected European Stock Markets," Prague Economic Papers, Prague University of Economics and Business, vol. 2007(4), pages 291-302.
    • Handle: RePEc:prg:jnlpep:v:2007:y:2007:i:4:id:309:p:291-302
    DOI: 10.18267/j.pep.309
    as

    Download full text from publisher

    File URL: http://pep.vse.cz/doi/10.18267/j.pep.309.html
    Download Restriction: free of charge
    File URL: http://pep.vse.cz/doi/10.18267/j.pep.309.pdf
    Download Restriction: free of charge
    File URL: https://libkey.io/10.18267/j.pep.309?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

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

    References listed on IDEAS

    as
    1. Eugene F. Fama, 1968. "Risk, Return And Equilibrium: Some Clarifying Comments," Journal of Finance, American Finance Association, vol. 23(1), pages 29-40, March.
    2. Harry Markowitz, 1952. "Portfolio Selection," Journal of Finance, American Finance Association, vol. 7(1), pages 77-91, March.
    3. William F. Sharpe, 1964. "Capital Asset Prices: A Theory Of Market Equilibrium Under Conditions Of Risk," Journal of Finance, American Finance Association, vol. 19(3), pages 425-442, September.
    4. Engle, Robert F. (ed.), 1995. "ARCH: Selected Readings," OUP Catalogue, Oxford University Press, number 9780198774327.
    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. Marin s Taffarel & Wesley Vieira da Silva & Ademir Clemente & Claudimar Pereira da Veiga & Jansen Maia Del Corso, 2015. "The Brazilian Electricity Energy Market: The Role of Regulatory Content Intensity and Its Impact on Capital Shares Risk," International Journal of Energy Economics and Policy, Econjournals, vol. 5(1), pages 288-304.
    2. Jean-Jacques Rosa, 1976. "Rentabilité, risque et équilibre à la Bourse de Paris," Revue Économique, Programme National Persée, vol. 27(4), pages 608-662.
    3. Edward Stohr, 1977. "A Time Series Approach to the Computation of Efficient Portfolios from Historic Data," Discussion Papers 277, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    4. Heuts, R.M.J., 1978. "Portfolio models and time series analysis," Other publications TiSEM 48458631-edc8-42e9-8359-4, Tilburg University, School of Economics and Management.
    5. Andersen, Torben G. & Bollerslev, Tim & Christoffersen, Peter F. & Diebold, Francis X., 2005. "Volatility forecasting," CFS Working Paper Series 2005/08, Center for Financial Studies (CFS).
    6. Frankfurter, George M. & Phillips, Herbert E., 1996. "Normative implications of equilibrium models: Homogeneous expectations and other artificialities," Journal of Economic Behavior & Organization, Elsevier, vol. 31(1), pages 67-83, October.
    7. Thomas A. Severini, 2016. "A nonparametric approach to measuring the sensitivity of an asset’s return to the market," Annals of Finance, Springer, vol. 12(2), pages 179-199, May.
    8. Nnaemeka Vincent Emodi & Kyung-Jin Boo, 2015. "Decomposition Analysis of CO2 Emissions from Electricity Generation in Nigeria," International Journal of Energy Economics and Policy, Econjournals, vol. 5(2), pages 565-573.
    9. Andersen, Torben G. & Bollerslev, Tim & Christoffersen, Peter F. & Diebold, Francis X., 2006. "Volatility and Correlation Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 15, pages 777-878, Elsevier.
    10. Hany Shawky & Ronald Forbes & Alan Frankle, 1983. "Liquidity Services and Capital Market Equilibrium: The Case for Money Market Mutual Funds," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 6(2), pages 141-152, June.
    11. Giovanni Bonaccolto & Massimiliano Caporin & Sandra Paterlini, 2018. "Asset allocation strategies based on penalized quantile regression," Computational Management Science, Springer, vol. 15(1), pages 1-32, January.
    12. Hooi Hooi Lean & Michael McAleer & Wing-Keung Wong, 2013. "Risk-averse and Risk-seeking Investor Preferences for Oil Spot and Futures," Documentos de Trabajo del ICAE 2013-31, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico, revised Aug 2013.
    13. Figge, Frank & Hahn, Tobias & Barkemeyer, Ralf, 2014. "The If, How and Where of assessing sustainable resource use," Ecological Economics, Elsevier, vol. 105(C), pages 274-283.
    14. Klaus Schredelseker, 2012. "Finanzkrise — Mitschuld der Theorie?," Schmalenbach Journal of Business Research, Springer, vol. 64(8), pages 833-845, December.
    15. Bao, Te & Diks, Cees & Li, Hao, 2018. "A generalized CAPM model with asymmetric power distributed errors with an application to portfolio construction," Economic Modelling, Elsevier, vol. 68(C), pages 611-621.
    16. Nolte, Ingmar & Voev, Valeri, 2007. "Panel intensity models with latent factors: An application to the trading dynamics on the foreign exchange market," CoFE Discussion Papers 07/02, University of Konstanz, Center of Finance and Econometrics (CoFE).
    17. Westner, Günther & Madlener, Reinhard, 2011. "Development of cogeneration in Germany: A mean-variance portfolio analysis of individual technology’s prospects in view of the new regulatory framework," Energy, Elsevier, vol. 36(8), pages 5301-5313.
    18. Mario Alejandro Acosta R., 2014. "Las acciones como activo de reserva para el Banco de la República," Documentos CEDE 11004, Universidad de los Andes, Facultad de Economía, CEDE.
    19. Esposito, Federico, 2022. "Demand risk and diversification through international trade," Journal of International Economics, Elsevier, vol. 135(C).
    20. Mădălina Antoaneta Rădoi & Alexandru Olteanu, 2016. "Optimization of the Financial Instruments Portfolio," Global Economic Observer, "Nicolae Titulescu" University of Bucharest, Faculty of Economic Sciences;Institute for World Economy of the Romanian Academy, vol. 4(1), pages 64-71, May.

    More about this item

    Keywords

    return modelling; stock indices; inancial time series; Granger causality;
    All these keywords.

    JEL classification:

    • 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
    • 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:prg:jnlpep:v:2007:y:2007:i:4:id:309:p:291-302. 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: Stanislav Vojir (email available below). General contact details of provider: https://edirc.repec.org/data/uevsecz.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.