IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/55156.html
   My bibliography  Save this paper

Empirical Assessment of the Present Value Model of Stock Prices Using the Data from Thailand’s Stock Market

Author

Listed:
  • Jiranyakul, Komain

Abstract

This study examines whether bubbles are present in the Stock Exchange of Thailand. Three different methods are employed: variance bounds test, equity price bubbles test, and cointegration tests. The results from the variance bounds tests show that stock prices (proxied by the stock market index) diverge from their fundamental values. Speculative bubbles exist using the West’s two-step test. There is no cointegration between stock prices and dividends from the results of both Engle-Granger cointegration test and the bounds testing for cointegration. The divergence of stock prices from their fundamental value and no cointegration between stock prices and dividend may indicate the presence of bubbles in the stock market during the period of investigation.

Suggested Citation

  • Jiranyakul, Komain, 2008. "Empirical Assessment of the Present Value Model of Stock Prices Using the Data from Thailand’s Stock Market," MPRA Paper 55156, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:55156
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/55156/1/MPRA_paper_55156.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Refet S. Gürkaynak, 2008. "Econometric Tests Of Asset Price Bubbles: Taking Stock," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 166-186, February.
    2. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    3. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    4. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-836, July.
    5. Chris Brooks & Apostolos Katsaris, 2003. "Rational Speculative Bubbles: An Empirical Investigation of the London Stock Exchange," Bulletin of Economic Research, Wiley Blackwell, vol. 55(4), pages 319-346, October.
    6. Kenneth D. West, 1987. "A Specification Test for Speculative Bubbles," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 102(3), pages 553-580.
    7. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    8. LeRoy, Stephen F & Porter, Richard D, 1981. "The Present-Value Relation: Tests Based on Implied Variance Bounds," Econometrica, Econometric Society, vol. 49(3), pages 555-574, May.
    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. Su, Chi-Wei & Wang, Kai-Hua & Chang, Hsu-Ling & Dumitrescu–Peculea, Adelina, 2017. "Do iron ore price bubbles occur?," Resources Policy, Elsevier, vol. 53(C), pages 340-346.
    2. Ahmed, Khalid, 2015. "The sheer scale of China’s urban renewal and CO2 emissions: Multiple structural breaks, long-run relationship and short-run dynamics," MPRA Paper 71035, University Library of Munich, Germany.
    3. Ali, Amjad & Ur Rehman, Hafeez, 2015. "Macroeconomic Instability and Its Impact on Gross Domestic Product: An Empirical Analysis of Pakistan," MPRA Paper 71037, University Library of Munich, Germany.
    4. Ferda Halicioglu, 2013. "Dynamics of obesity in Finland," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 40(5), pages 644-657, October.
    5. Tiwari, Aviral Kumar & Shahbaz, Muhammad, 2010. "Does financial development increase rural-urban income inequality? Cointegration analysis in the case of Indian economy," MPRA Paper 27093, University Library of Munich, Germany.
    6. Tim Bollerslev & Robert J. Hodrick, 1992. "Financial Market Efficiency Tests," NBER Working Papers 4108, National Bureau of Economic Research, Inc.
    7. Halicioglu, Ferda & Andrés, Antonio R. & Yamamura, Eiji, 2012. "Modeling crime in Japan," Economic Modelling, Elsevier, vol. 29(5), pages 1640-1645.
    8. Muzammil, Muhammad, 2015. "Impact of Financial Development on Trade Balance: An ARDL Cointegration and Causality Approach for Pakistan," MPRA Paper 68587, University Library of Munich, Germany.
    9. Muhammad Shahbaz & Talat Afza & Muhammad Shahbaz Shabbir, 2013. "Financial Development, Domestic Savings and Poverty Reduction in Pakistan: Using Cointegration and Granger Causality Analysis," International Journal of Economics and Empirical Research (IJEER), The Economics and Social Development Organization (TESDO), vol. 1(5), pages 59-73, May.
    10. Shahbaz, Muhammad, 2012. "Does trade openness affect long run growth? Cointegration, causality and forecast error variance decomposition tests for Pakistan," Economic Modelling, Elsevier, vol. 29(6), pages 2325-2339.
    11. Ghilous Azeddine & Ziat Adel, 2023. "Balance of Payments as a Monetary Phenomenon: An ARDL Bounds Test Method for Algeria," Folia Oeconomica Stetinensia, Sciendo, vol. 23(1), pages 64-86, June.
    12. Tan, Bee Wah & Tang, Chor Foon, 2011. "The dynamic relationship between private domestic investment, the user cost of capital, and economic growth in Malaysia," MPRA Paper 27964, University Library of Munich, Germany.
    13. Stéphane Goutte & David Guerreiro & Bilel Sanhaji & Sophie Saglio & Julien Chevallier, 2019. "International Financial Markets," Post-Print halshs-02183053, HAL.
    14. Aviral Kumar Tiwari & Muhammad Shahbaz, 2013. "Modelling the Relationship between Whole Sale Price and Consumer Price Indices: Cointegration and Causality Analysis for India," Global Business Review, International Management Institute, vol. 14(3), pages 397-411, September.
    15. Muhammad Shahbaz & Muhammad shahbaz Shabbir & Muhammad sabihuddin Butt, 2016. "Does Military Spending Explode External Debt in Pakistan?," Defence and Peace Economics, Taylor & Francis Journals, vol. 27(5), pages 718-741, September.
    16. Eléazar Zerbo, 2017. "Energy consumption and economic growth in Sub-Saharan African countries: Further evidence," Economics Bulletin, AccessEcon, vol. 37(3), pages 1720-1744.
    17. Ugur Korkut Pata & Sukran Kahveci, 2018. "A multivariate causality analysis between electricity consumption and economic growth in Turkey," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 20(6), pages 2857-2870, December.
    18. Muhammad Ahad, 2017. "Impact of Financial Development on Trade Balance: An ARDL Cointegration and Causality Approach for Pakistan," Global Business Review, International Management Institute, vol. 18(5), pages 1199-1214, October.
    19. Muhammad Ahad, 2016. "Nexus between Income Inequality, Crime, Inflation and Poverty: NewEvidence fromStructural Breaksfor Pakistan," International Journal of Economics and Empirical Research (IJEER), The Economics and Social Development Organization (TESDO), vol. 4(3), pages 133-145, March.
    20. Abbas Ali Chandio & Yuansheng Jiang & Jam Ghulam Murtaza Sahito & Fayyaz Ahmad, 2019. "Empirical Insights into the Long-Run Linkage between Households Energy Consumption and Economic Growth: Macro-Level Empirical Evidence from Pakistan," Sustainability, MDPI, vol. 11(22), pages 1-17, November.

    More about this item

    Keywords

    Stock prices; Present Value model; Variance Bounds Test; Cointegration; Equity Price Bubbles;
    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
    • G20 - Financial Economics - - Financial Institutions and Services - - - General

    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:pra:mprapa:55156. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.