IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/22285.html
   My bibliography  Save this paper

Testing the Weak Form Efficiency in Pakistan’s Equity, Badla and Money Markets

Author

Listed:
  • Rashid, Abdul
  • Husain, Fazal

Abstract

The paper test the weak form market efficient hypothesis for Pakistan’s equity, badla and money markets with an aim to investigate which one of them is most efficient in the weak form sense. The analysis provides evidence, under the assumption of heteroscedasticity, that the KSE is weak-form efficient over the full-length sample period. Nevertheless, the analysis reports that over the same period the other two markets viz. badla and money are not weak form efficient. The badla market was efficient over the first sub-period. An important finding of this effort is that “badla mechanism” became weak form inefficient after equity market severely affected in February 2005. Inefficient badla market may be one of the major reasons behind the malicious instability of the equity market in Pakistan. We hope that this finding can guide the policymakers in formulating strategies to provide a weighing scale in financial mechanism.

Suggested Citation

  • Rashid, Abdul & Husain, Fazal, 2009. "Testing the Weak Form Efficiency in Pakistan’s Equity, Badla and Money Markets," MPRA Paper 22285, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:22285
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/22285/1/MPRA_paper_22285.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Andrew W. Lo, A. Craig MacKinlay, 1988. "Stock Market Prices do not Follow Random Walks: Evidence from a Simple Specification Test," The Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 41-66.
    2. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    3. Richardson, Matthew P & Smith, Tom, 1994. "A Unified Approach to Testing for Serial Correlation in Stock Returns," The Journal of Business, University of Chicago Press, vol. 67(3), pages 371-399, July.
    4. Bessembinder, Hendrik & Chan, Kalok, 1992. "Time-varying risk premia and forecastable returns in futures markets," Journal of Financial Economics, Elsevier, vol. 32(2), pages 169-193, October.
    5. Neftci, Salih N & Policano, Andrew J, 1990. "On Some Sample Path Properties of Intra-day Futures Prices," The Review of Economics and Statistics, MIT Press, vol. 72(3), pages 529-536, August.
    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. Tilak Abeysinghe & Gulasekaran Rajaguru, 2009. "A Gaussian Test for Cointegration," Microeconomics Working Papers 22013, East Asian Bureau of Economic Research.
    2. Bing Xiang, 1993. "The Choice of Return†Generating Models and Cross†Sectional Dependence in Event Studies," Contemporary Accounting Research, John Wiley & Sons, vol. 9(2), pages 365-394, March.
    3. Lo, Andrew W. & Mackinlay, A. Craig, 1997. "Maximizing Predictability In The Stock And Bond Markets," Macroeconomic Dynamics, Cambridge University Press, vol. 1(1), pages 102-134, January.
    4. Fernando Rubio, 2005. "Eficiencia De Mercado, Administracion De Carteras De Fondos Y Behavioural Finance," Finance 0503028, University Library of Munich, Germany, revised 23 Jul 2005.
    5. Lo, Andrew W & Wang, Jiang, 1995. "Implementing Option Pricing Models When Asset Returns Are Predictable," Journal of Finance, American Finance Association, vol. 50(1), pages 87-129, March.
    6. Laurent, Sébastien & Shi, Shuping, 2020. "Volatility estimation and jump detection for drift–diffusion processes," Journal of Econometrics, Elsevier, vol. 217(2), pages 259-290.
    7. Twm Evans, 2006. "Efficiency tests of the UK financial futures markets and the impact of electronic trading systems," Applied Financial Economics, Taylor & Francis Journals, vol. 16(17), pages 1273-1283.
    8. Lavan Mahadeva & Javier Gómez Pineda, 2009. "The international cycle and Colombian monetary policy," Borradores de Economia 557, Banco de la Republica de Colombia.
    9. Fang, Yue, 2002. "The compass rose and random walk tests," Computational Statistics & Data Analysis, Elsevier, vol. 39(3), pages 299-310, May.
    10. repec:wyi:journl:002062 is not listed on IDEAS
    11. Ishani Chaudhuri & Parthajit Kayal, 2022. "Predicting Power of Ticker Search Volume in Indian Stock Market," Working Papers 2022-214, Madras School of Economics,Chennai,India.
    12. Bijl, Laurens & Kringhaug, Glenn & Molnár, Peter & Sandvik, Eirik, 2016. "Google searches and stock returns," International Review of Financial Analysis, Elsevier, vol. 45(C), pages 150-156.
    13. Shlomo Zilca, 2010. "The variance ratio and trend stationary model as extensions of a constrained autoregressive model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(5), pages 467-475.
    14. Daniel, Kent, 2001. "The power and size of mean reversion tests," Journal of Empirical Finance, Elsevier, vol. 8(5), pages 493-535, December.
    15. Baltussen, Guido & van Bekkum, Sjoerd & Da, Zhi, 2019. "Indexing and stock market serial dependence around the world," Journal of Financial Economics, Elsevier, vol. 132(1), pages 26-48.
    16. Schultz, Emma & Swieringa, John, 2013. "Price discovery in European natural gas markets," Energy Policy, Elsevier, vol. 61(C), pages 628-634.
    17. Stavros Degiannakis & Evdokia Xekalaki, 2005. "Predictability and model selection in the context of ARCH models," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 21(1), pages 55-82, January.
    18. Eduardo Cavallo & Andrew Powell & Roberto Rigobon, 2008. "Do Credit Rating Agencies Add Value? Evidence from the Sovereign Rating Business Institutions," Research Department Publications 4601, Inter-American Development Bank, Research Department.
    19. Qing Zhou & Robert Faff, 2017. "The complementary role of cross-sectional and time-series information in forecasting stock returns," Australian Journal of Management, Australian School of Business, vol. 42(1), pages 113-139, February.
    20. Jenni L Bettman & Mitch Kosev & Stephen J Sault, 2011. "Exploring the asset growth effect in the Australian equity market," Australian Journal of Management, Australian School of Business, vol. 36(2), pages 200-216, August.
    21. Cooray, Arusha, 2011. "The role of the government in financial sector development," Economic Modelling, Elsevier, vol. 28(3), pages 928-938, May.

    More about this item

    Keywords

    Weak Form Efficiency; Stock Returns; Badla Rate; Repo Rate; March Crises; Variance-Ratio Tests;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • E42 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Monetary Sytsems; Standards; Regimes; Government and the Monetary System
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation

    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:22285. 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.