IDEAS home Printed from https://ideas.repec.org/a/jes/wpaper/y2015v7i4p873-880.html
   My bibliography  Save this article

The Steel European Stock Market Efficiency

Author

Listed:
  • Viorica CHIRILA

    (Associate Professor, Alexandru Ioan Cuza University of Iasi, Romania)

  • Ciprian CHIRILA

    (Associate Professor, Alexandru Ioan Cuza University of Iasi, Romania)

Abstract

Testing the hypothesis of informational efficiency is a permanent preoccupation of researchers because the theories and the models of modern finance are based on it. This paper presents the results obtained after testing the efficiency hypothesis, in the weak form, for the European stock market of the companies that belong to the economic steel sub-sector. Following the use of both linear and non-linear tests of autocorrelation of returns we can conclude that the European stock market in the economic steel sub-sector is inefficient from an informational point of view and the investors in these stocks may obtain better results than those of the European market in general.

Suggested Citation

  • Viorica CHIRILA & Ciprian CHIRILA, 2015. "The Steel European Stock Market Efficiency," CES Working Papers, Centre for European Studies, Alexandru Ioan Cuza University, vol. 7(4), pages 873-880, December.
    • Handle: RePEc:jes:wpaper:y:2015:v:7:i:4:p:873-880
    as

    Download full text from publisher

    File URL: http://www.ceswp.uaic.ro/articles/CESWP2015_VII4_CHI.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Pele, Daniel Traian & Voineagu, Virgil, 2008. "Testing Market Efficiency Via Decomposition Of Stock Return. Application To Romanian Capital Market," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 5(3), pages 63-79, September.
    2. Andrew Urquhart, 2014. "The Euro and European stock market efficiency," Applied Financial Economics, Taylor & Francis Journals, vol. 24(19), pages 1235-1248, October.
    3. Dragota, Victor & Mitrica, Eugen, 2004. "Emergent capital markets' efficiency: The case of Romania," European Journal of Operational Research, Elsevier, vol. 155(2), pages 353-360, June.
    4. Victor Dragotă & Elena Ţilică, 2014. "Market efficiency of the Post Communist East European stock markets," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 22(2), pages 307-337, June.
    5. Md Zobaer Hasan & Anton Abdulbasah Kamil & Adli Mustafa & Md Azizul Baten, 2012. "Stochastic Frontier Model Approach for Measuring Stock Market Efficiency with Different Distributions," PLOS ONE, Public Library of Science, vol. 7(5), pages 1-9, May.
    6. Mircea ASANDULUI, 2012. "A Multi-Horizon Comparison Of Volatility Forecasts: An Application To Stock Options Traded At Euronext Exchange Amsterdam," Review of Economic and Business Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, issue 10, pages 179-190, December.
    7. Kwesi Enninful & Michael Mark Dowling, 2013. "Robust weak-form efficiency tests in volatile European equity indices," Applied Economics Letters, Taylor & Francis Journals, vol. 20(9), pages 863-868, June.
    8. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    9. Dragota, Victor & Stoian, Andreea & Pele, Daniel Traian & Mitrica, Eugen & Bensafta, Malik, 2009. "The Development of the Romanian Capital Market: Evidences on Information Efficiency," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 6(2), pages 147-160, June.
    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. Ferreira, Paulo, 2018. "Long-range dependencies of Eastern European stock markets: A dynamic detrended analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 454-470.
    2. Victor Dragotă & Elena Ţilică, 2014. "Market efficiency of the Post Communist East European stock markets," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 22(2), pages 307-337, June.
    3. Ioana-Andreea Boboc & Mihai-Cristian Dinică, 2013. "An Algorithm for Testing the Efficient Market Hypothesis," PLOS ONE, Public Library of Science, vol. 8(10), pages 1-11, October.
    4. Dan Anghel, 2013. "How Reliable is the Moving Average Crossover Rule for an Investor on the Romanian Stock Market?," The Review of Finance and Banking, Academia de Studii Economice din Bucuresti, Romania / Facultatea de Finante, Asigurari, Banci si Burse de Valori / Catedra de Finante, vol. 5(2), pages 089-115, December.
    5. Cosmin Octavian Cepoi & Victor Dragotă & Ruxandra Trifan & Andreea Iordache, 2023. "Probability of informed trading during the COVID-19 pandemic: the case of the Romanian stock market," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-27, December.
    6. Naimat U Khan & Sajjad Khan, 2016. "Weak Form of Efficient Market Hypothesis: Evidence from Pakistan," Business & Economic Review, Institute of Management Sciences, Peshawar, Pakistan, vol. 8(SE), pages 1-18, March.
    7. Pele, Daniel Traian & Voineagu, Virgil, 2008. "Testing Market Efficiency Via Decomposition Of Stock Return. Application To Romanian Capital Market," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 5(3), pages 63-79, September.
    8. Victor DRAGOTA & Carmen LIPARA & Radu CIOBANU, 2013. "Agency Problems and Synergistic Effects in Romania: The Determinants of the Control Premium," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 63(2), pages 197-219, May.
    9. Victor Dragota & Dragos Stefan Oprea, 2014. "Informational Efficiency Tests on the Romanian Stock Market: A Review of the Literature," The Review of Finance and Banking, Academia de Studii Economice din Bucuresti, Romania / Facultatea de Finante, Asigurari, Banci si Burse de Valori / Catedra de Finante, vol. 6(1), pages 015-028, June.
    10. Erdas Mehmet Levent, 2019. "Validity of Weak-Form Market Efficiency in Central and Eastern European Countries (CEECs): Evidence from Linear and Nonlinear Unit Root Tests," Review of Economic Perspectives, Sciendo, vol. 19(4), pages 399-428, December.
    11. Drags Mînjina & Petre Brezeanu, 2013. "Testing the Efficient Markets Hypothesis on the Romanian Capital Market," Finante - provocarile viitorului (Finance - Challenges of the Future), University of Craiova, Faculty of Economics and Business Administration, vol. 1(15), pages 151-158, December.
    12. Pasca Lucian, 2015. "Testing The Weak-Form Efficiency Of The Romanian Capital Market By Assessing The Random Walk-Like Behaviour Of Stock Prices," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 2, pages 264-269, April.
    13. Elena Valentina Ţilică & Victor Dragotă & Camelia Delcea & Răzvan Ioan Tătaru, 2024. "Portfolio management under capital market frictions: a grey clustering approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-36, December.
    14. Camelia Oprean, 2012. "Testing the financial market informational efficiency in emerging states," Review of Applied Socio-Economic Research, Pro Global Science Association, vol. 4(2), pages 181-190, Decembre.
    15. Laura Raisa Miloş & Cornel Haţiegan & Marius Cristian Miloş & Flavia Mirela Barna & Claudiu Boțoc, 2020. "Multifractal Detrended Fluctuation Analysis (MF-DFA) of Stock Market Indexes. Empirical Evidence from Seven Central and Eastern European Markets," Sustainability, MDPI, vol. 12(2), pages 1-15, January.
    16. Dragos Stefan Oprea & Elena Valentina Tilica, 2014. "Day-of-the-Week Effect in Post-Communist East European Stock Markets," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 4(3), pages 119-129, July.
    17. Vasile Brătian & Ana-Maria Acu & Camelia Oprean-Stan & Emil Dinga & Gabriela-Mariana Ionescu, 2021. "Efficient or Fractal Market Hypothesis? A Stock Indexes Modelling Using Geometric Brownian Motion and Geometric Fractional Brownian Motion," Mathematics, MDPI, vol. 9(22), pages 1-20, November.
    18. Amin Aminimehr & Ali Raoofi & Akbar Aminimehr & Amirhossein Aminimehr, 2022. "A Comprehensive Study of Market Prediction from Efficient Market Hypothesis up to Late Intelligent Market Prediction Approaches," Computational Economics, Springer;Society for Computational Economics, vol. 60(2), pages 781-815, August.
    19. Dan Gabriel ANGHEL & Elena Valentina ŢILICĂ & Victor DRAGOTĂ, 2020. "Intraday Patterns in Returns on the Romanian and Bulgarian Stock Markets," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 92-114, July.
    20. Curmei-Semenescu Andreea & Ţilică Elena Valentina & Curmei Cătălin Valeriu, 2019. "Investors’ rationality. An analysis of the investment policy implications on shares valuation," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 13(1), pages 578-588, May.

    More about this item

    Keywords

    steel & iron subsector; stock; return; BDS test; Runs test;
    All these keywords.

    JEL classification:

    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics

    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:jes:wpaper:y:2015:v:7:i:4:p:873-880. 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: Alupului Ciprian (email available below). General contact details of provider: https://edirc.repec.org/data/csjesro.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.