IDEAS home Printed from https://ideas.repec.org/a/wun/journl/tjev02y2009i2(6)a02.html
   My bibliography  Save this article

Remarks on Romanian Capital Market Volatility in the Framework of an Power ARCH (PARCH) Model

Author

Listed:
  • Bogdan DIMA

    (West University of Timisoara, Faculty of Economics and Business Administration, Romania)

  • Mircea Mihai ROB

    (West University of Timisoara, Faculty of Economics and Business Administration, Romania)

Abstract

The recent evolution of the Romanian capital market is characterized by an increase in the market volatility as an expression of investors’ uncertainty about the global financial instability. Thus, the objective of this study is to provide an analytical framework for the analysis of the market volatility and to derive some empirical evidences base on such framework. The main results support the thesis of some recent structural changes in the market’ volatility pattern which had occurred as a direct effect of the financial and real crisis.

Suggested Citation

  • Bogdan DIMA & Mircea Mihai ROB, 2009. "Remarks on Romanian Capital Market Volatility in the Framework of an Power ARCH (PARCH) Model," Timisoara Journal of Economics, West University of Timisoara, Romania, Faculty of Economics and Business Administration, vol. 2(2(6)), pages 77-82.
  • Handle: RePEc:wun:journl:tje:v02:y2009:i2(6):a02
    as

    Download full text from publisher

    File URL: https://tje.uvt.ro/index.php/tje/article/download/43/pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Andrews, Donald W K, 1993. "Tests for Parameter Instability and Structural Change with Unknown Change Point," Econometrica, Econometric Society, vol. 61(4), pages 821-856, July.
    2. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    3. Andrews, Donald W K & Ploberger, Werner, 1994. "Optimal Tests When a Nuisance Parameter Is Present Only under the Alternative," Econometrica, Econometric Society, vol. 62(6), pages 1383-1414, November.
    4. Bollerslev, Tim & Chou, Ray Y. & Kroner, Kenneth F., 1992. "ARCH modeling in finance : A review of the theory and empirical evidence," Journal of Econometrics, Elsevier, vol. 52(1-2), pages 5-59.
    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. Lütkepohl,Helmut & Krätzig,Markus (ed.), 2004. "Applied Time Series Econometrics," Cambridge Books, Cambridge University Press, number 9780521547871.
    2. Khalaf, Lynda & Saphores, Jean-Daniel & Bilodeau, Jean-François, 2000. "Simulation-Based Exact Tests with Unidentified Nuisance Parameters Under the Null Hypothesis: the Case of Jumps Tests in Models with Conditional Heteroskedasticity," Cahiers de recherche 0004, GREEN.
    3. Smith, Daniel R., 2007. "Conditional coskewness and asset pricing," Journal of Empirical Finance, Elsevier, vol. 14(1), pages 91-119, January.
    4. Silvio Colarossi & Andrea Zaghini, 2009. "Gradualism, Transparency and the Improved Operational Framework: A Look at Overnight Volatility Transmission," International Finance, Wiley Blackwell, vol. 12(2), pages 151-170, August.
    5. Geweke, J. & Joel Horowitz & Pesaran, M.H., 2006. "Econometrics: A Bird’s Eye View," Cambridge Working Papers in Economics 0655, Faculty of Economics, University of Cambridge.
    6. 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.
    7. Dick van Dijk & Haris Munandar & Christian M. Hafner, 2005. "The Euro Introduction and Non-Euro Currencies," Tinbergen Institute Discussion Papers 05-044/4, Tinbergen Institute, revised 08 Jun 2006.
    8. Christoffersen, Peter & Feunou, Bruno & Jacobs, Kris & Meddahi, Nour, 2014. "The Economic Value of Realized Volatility: Using High-Frequency Returns for Option Valuation," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 49(3), pages 663-697, June.
    9. Chevallier, Julien, 2011. "Detecting instability in the volatility of carbon prices," Energy Economics, Elsevier, vol. 33(1), pages 99-110, January.
    10. Zhang, Michael Yuanjie & Russell, Jeffrey R. & Tsay, Ruey S., 2001. "A nonlinear autoregressive conditional duration model with applications to financial transaction data," Journal of Econometrics, Elsevier, vol. 104(1), pages 179-207, August.
    11. Samih Antoine Azar, 2013. "Mean Aversion in and Persistence of Shocks to the US Dollar: Evidence from Nine Foreign Currencies," International Journal of Economics and Financial Issues, Econjournals, vol. 3(3), pages 723-733.
    12. Demos, Antonis & Sentana, Enrique, 1998. "Testing for GARCH effects: a one-sided approach," Journal of Econometrics, Elsevier, vol. 86(1), pages 97-127, June.
    13. Rossi, Alessandro & Gallo, Giampiero M., 2006. "Volatility estimation via hidden Markov models," Journal of Empirical Finance, Elsevier, vol. 13(2), pages 203-230, March.
    14. Duc Khuong Nguyen & Mondher Bellalah, 2007. "Testing for Structural Breaks and Dynamic Changes in Emerging Market Volatility," Working Papers 02, Development and Policies Research Center (DEPOCEN), Vietnam.
    15. Oğuz Tümtürk, 2023. "Key Macroeconomic Variables under Exchange Rate Volatility: Time-Varying Causality in the Presence of Structural Breaks and Nonlinearity," EKOIST Journal of Econometrics and Statistics, Istanbul University, Faculty of Economics, vol. 0(39), pages 49-64, December.
    16. Ke Zhu & Wai Keung Li & Philip L. H. Yu, 2017. "Buffered Autoregressive Models With Conditional Heteroscedasticity: An Application to Exchange Rates," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(4), pages 528-542, October.
    17. Hanabusa, Kunihiro, 2009. "Causality relationship between the price of oil and economic growth in Japan," Energy Policy, Elsevier, vol. 37(5), pages 1953-1957, May.
    18. Makram El-Shagi & Sebastian Giesen, 2013. "Testing for Structural Breaks at Unknown Time: A Steeplechase," Computational Economics, Springer;Society for Computational Economics, vol. 41(1), pages 101-123, January.
    19. Donald W.K. Andrews, 1992. "An Introduction to Econometric Applications of Functional Limit Theory for Dependent Random Variables," Cowles Foundation Discussion Papers 1020, Cowles Foundation for Research in Economics, Yale University.
    20. Naifar, Nader, 2012. "Modeling the dependence structure between default risk premium, equity return volatility and the jump risk: Evidence from a financial crisis," Economic Modelling, Elsevier, vol. 29(2), pages 119-131.

    More about this item

    Keywords

    capital market; volatility; Power Arch Model; Bucharest Stock Exchange;
    All these keywords.

    JEL classification:

    • G01 - Financial Economics - - General - - - Financial Crises
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • 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:wun:journl:tje:v02:y2009:i2(6):a02. 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: Romeo Margea (email available below). General contact details of provider: https://edirc.repec.org/data/feuvtro.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.