IDEAS home Printed from https://ideas.repec.org/a/col/000151/006238.html
   My bibliography  Save this article

Modelacion del efecto del día de la semana para los índices accionarios de Colombia mediante un modelo STAR GARCH

Author

Listed:
  • David Mauricio Rivera Palacio

Abstract

En este trabajo se estudia el comportamiento de los retornos delos tres principales índices bursátiles de Colombia: el IBB de la Bolsa de Bogotá, el IBOMED de la Bolsa de Medellín, y el IGBC de Bolsa de Valores deColombia. A través de un modelo STAR GARCH se identifican dos estados oregímenes extremos; mientras en el primero los rendimientos de los índices son,en términos absolutos, bajos y los procesos son estacionarios, en el segundo setienen grandes pérdidas o ganancias, donde los efectos de los choques son permanentes.Aunque en cada uno de los regimenes el efecto del día de la semana es diferente, los resultados indican que para los tres índices existe un efectodel día de la semana en la media, y un efecto del día en la varianza para laBolsa de Bogotá y Bolsa de Valores de Colombia. Los resultados contradicenla hipótesis de un mercado de acciones eficiente en información.**This document analyzes the behavior of the three Colombian stockmarket indexes: IBB Bogota's stock market, Medellin's IBOMED and theIGBC National Stock Market. By using a STAR GARCH model we identifytwo extreme estates / regimes, the first one showing low returns (on absoluteterms) and stationary processes, and a second estate featuring either big bene-ts or losses and permanent efects of shocks. Although the Day of the WeekEfect is diferent for each one of the indexes, for all of them there seems tobe a mean specifc efect and a variance efect for both the National and Bogota's Stock Markets.The results allow rejecting an information efcient stockmarket hypothesis.

Suggested Citation

  • David Mauricio Rivera Palacio, 2009. "Modelacion del efecto del día de la semana para los índices accionarios de Colombia mediante un modelo STAR GARCH," Revista de Economía del Rosario, Universidad del Rosario, May.
    • Handle: RePEc:col:000151:006238
    as

    Download full text from publisher

    File URL: http://revistas.urosario.edu.co/index.php/economia/article/view/1132/1026
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. L. E. Arango & A. Gonzalez & C. E. Posada, 2002. "Returns and the interest rate: a non-linear relationship in the Bogotastock market," Applied Financial Economics, Taylor & Francis Journals, vol. 12(11), pages 835-842.
    2. Jaeun Shin, 2005. "Stock Returns and Volatility in Emerging Stock Markets," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 4(1), pages 31-43, April.
    3. Barone, E., 1990. "The italian stock market : Efficiency and calendar anomalies," Journal of Banking & Finance, Elsevier, vol. 14(2-3), pages 483-510, August.
    4. Ball, R & Brown, P, 1968. "Empirical Evaluation Of Accounting Income Numbers," Journal of Accounting Research, Wiley Blackwell, vol. 6(2), pages 159-178.
    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. Zhengxin Joseph Ye & Bjoern Schuller, 2024. "Trading through Earnings Seasons using Self-Supervised Contrastive Representation Learning," Papers 2409.17392, arXiv.org.
    2. DAVID E. ALLEN & MICHAEL McALEER & ROBERT J. POWELL & ABHAY K. SINGH, 2018. "Non-Parametric Multiple Change Point Analysis Of The Global Financial Crisis," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 13(02), pages 1-23, June.
    3. Dybvig, Philip H. & Gong, Ning & Schwartz, Rachel, 2000. "Bias of Damage Awards and Free Options in Securities Litigation," Journal of Financial Intermediation, Elsevier, vol. 9(2), pages 149-168, April.
    4. Beaver, William H. & McNichols, Maureen F. & Wang, Zach Z., 2020. "Increased market response to earnings announcements in the 21st century: An Empirical Investigation," Journal of Accounting and Economics, Elsevier, vol. 69(1).
    5. Jeroen Suijs, 2008. "On the Value Relevance of Asymmetric Financial Reporting Policies," Journal of Accounting Research, Wiley Blackwell, vol. 46(5), pages 1297-1321, December.
    6. Alderson, Michael J. & Betker, Brian L. & Halford, Joseph T., 2021. "Fictitious dividend cuts in the CRSP data," Journal of Corporate Finance, Elsevier, vol. 71(C).
    7. Supino, Enrico & Tenucci, Andrea & Di Nanna, Gianluca, 2024. "Sports failures and stock returns between rationality and emotionality: Evidence from the UEFA Champions League," Research in International Business and Finance, Elsevier, vol. 70(PB).
    8. Sabur Mollah & Asma Mobarek, 2009. "Market volatility across countries – evidence from international markets," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 26(4), pages 257-274, October.
    9. Stelios Markoulis, 2021. "Do Terror Attacks Affect the Euro? Evidence from the 21st Century," JRFM, MDPI, vol. 14(8), pages 1-24, July.
    10. Mei Luo & Shuai Shao & Frank Zhang, 2018. "Does financial reporting above or below operating income matter to firms and investors? The case of investment income in China," Review of Accounting Studies, Springer, vol. 23(4), pages 1754-1790, December.
    11. Veith, Stefan & Werner, Jörg R. & Zimmermann, Jochen, 2009. "Capital market response to emission rights returns: Evidence from the European power sector," Energy Economics, Elsevier, vol. 31(4), pages 605-613, July.
    12. Dimitrakopoulos, Dimitris N. & Kavussanos, Manolis G. & Spyrou, Spyros I., 2010. "Value at risk models for volatile emerging markets equity portfolios," The Quarterly Review of Economics and Finance, Elsevier, vol. 50(4), pages 515-526, November.
    13. Monica Martinez-Blasco & Vanessa Serrano & Francesc Prior & Jordi Cuadros, 2023. "Analysis of an event study using the Fama–French five-factor model: teaching approaches including spreadsheets and the R programming language," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-34, December.
    14. Joliet, Robert & Muller, Aline, 2016. "Are foreign earnings disclosures value-relevant?," Research in International Business and Finance, Elsevier, vol. 37(C), pages 170-183.
    15. DuCharme, Larry L. & Malatesta, Paul H. & Sefcik, Stephan E., 2004. "Earnings management, stock issues, and shareholder lawsuits," Journal of Financial Economics, Elsevier, vol. 71(1), pages 27-49, January.
    16. Mishari Alfraih & Faisal Alanezi, 2015. "The Value Relevance Of Mandatory Corporate Disclosures: Evidence From Kuwait," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 9(3), pages 1-18.
    17. Huang, Meng & Marsden, Alastair & Poskitt, Russell, 2009. "The impact of disclosure reform on the NZX's financial information environment," Pacific-Basin Finance Journal, Elsevier, vol. 17(4), pages 460-478, September.
    18. Abu Towhid Muhammad Shaker, 2014. "The Equity Performance of U.S. Firms Emerging from Chapter 11 Bankruptcy," International Journal of Business and Social Research, LAR Center Press, vol. 4(1), pages 19-30, January.
    19. Rolf Uwe Fülbier & Thorsten Sellhorn, 2023. "Understanding and improving the language of business: How accounting and corporate reporting research can better serve business and society," Journal of Business Economics, Springer, vol. 93(6), pages 1089-1124, August.
    20. Laura Alfaro & Anusha Chari & Andrew N. Greenland & Peter K. Schott, 2020. "Aggregate and Firm-Level Stock Returns During Pandemics, in Real Time," NBER Working Papers 26950, National Bureau of Economic Research, Inc.

    More about this item

    Keywords

    efecto del día de la semana; modelos STAR-GARCH; economías emergentes; volatilidad.**Day of the Week E ect; STAR-GARCH models; emerging markets; volatility;
    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
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

    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:col:000151:006238. 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: Facultad de Economía (email available below). General contact details of provider: https://edirc.repec.org/data/ferosco.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.