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An Application of Variance-Ratio Test of Five Asian Stock Markets

Author

Listed:
  • M. Imam Alam

    (University of Northern Iowa, Cedar Falls, IA, USA)

  • Tanweer Hasan

    (W.E.H.C.B.A., Roosevelt University, Schaumburg, IL, USA)

  • Palani-Rajan Kadapakkam

    (University of Texas at San Antonio, San Antonio, TX, USA)

Abstract

In the present study the variance-ratio test developed by Lo and MacKinlay (1988, and 1989) is applied to monthly stock index returns of five Asian markets that are in different stages of development. The markets examined are Bangladesh, Hong Kong, Malaysia, Sri Lanka and Taiwan. Although previous studies have examined the efficiency issues of the markets in Hong Kong, Malaysia, Sri Lanka and Taiwan, the empirical evidence is often contradictory. The current study looks at the efficiency issues of these markets over a sufficiently long period of time (November 1986 — December 1995) using more appropriate methodology and type of data. Also, this study is the first to provide new evidence on an emerging market in Asia — Bangladesh. Results reported in this study indicate that the index return series of all the sample markets except Sri Lanka do follow a random walk.

Suggested Citation

  • M. Imam Alam & Tanweer Hasan & Palani-Rajan Kadapakkam, 1999. "An Application of Variance-Ratio Test of Five Asian Stock Markets," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 2(03), pages 301-315.
  • Handle: RePEc:wsi:rpbfmp:v:02:y:1999:i:03:n:s0219091599000175
    DOI: 10.1142/S0219091599000175
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    Cited by:

    1. Wahbeeah Mohti & Andreia Dionísio & Paulo Ferreira & Isabel Vieira, 2019. "Frontier markets’ efficiency: mutual information and detrended fluctuation analyses," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(3), pages 551-572, September.
    2. Yen-Hsien Lee, 2010. "The Impact Of Deregulation On Stock Market Efficiency," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 4(2), pages 165-176.
    3. 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.
    4. Ainul Islam & Mohammed Khaled, 2005. "Tests of Weak‐Form Efficiency of the Dhaka Stock Exchange," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 32(7‐8), pages 1613-1624, September.
    5. Truong Dong Loc & Ger Lanjouw & Robert Lensink, 2010. "Stock-market efficiency in thin-trading markets: the case of the Vietnamese stock market," Applied Economics, Taylor & Francis Journals, vol. 42(27), pages 3519-3532.
    6. Musarrat SHAMSHIR & Mirza Jawwad BAIG & Khalid MUSTAFA, 2018. "Evidence of random walk in Pakistan stock exchange: An emerging stock market study," Journal of Economics Library, KSP Journals, vol. 5(1), pages 103-117, March.
    7. 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.
    8. Ushna Akber & Nabeel Muhammad, 2014. "Is Pakistan Stock Market Moving towards Weak-Form Efficiency? Evidence from The Karachi Stock Exchange and the Random Walk Nature of Free-Float of Shares of KSE 30 Index," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 4(6), pages 808-836, June.
    9. Cooray, Arusha. & Wickremasinghe, Guneratne., 2007. "The efficiency of emerging stock markets: empirical evidence from the south asian region," Journal of Developing Areas, Tennessee State University, College of Business, vol. 41(1), pages 171-183, September.
    10. Hiremath, Gourishankar S & Bandi, Kamaiah, 2009. "On the random walk characteristics of stock returns in India," MPRA Paper 46499, University Library of Munich, Germany.
    11. Mohammad Joarder & Monir Ahmed & Tahsina Haque & Syed Hasanuzzaman, 2014. "An empirical testing of informational efficiency in Bangladesh capital market," Economic Change and Restructuring, Springer, vol. 47(1), pages 63-87, February.
    12. Ainul Islam & Mohammed Khaled, 2005. "Tests of Weak-Form Efficiency of the Dhaka Stock Exchange," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 32(7-8), pages 1613-1624.
    13. Dobija, Dorota & Klimczak, Karol Marek, 2010. "Development of accounting in Poland: Market efficiency and the value relevance of reported earnings," The International Journal of Accounting, Elsevier, vol. 45(3), pages 356-374, September.
    14. Nageri Kamaldeen Ibraheem & Abdulkadir Rihanat Idowu, 2019. "Is the Nigerian Stock Market Efficient? Pre and Post 2007-2009 Meltdown Analysis," Studia Universitatis „Vasile Goldis” Arad – Economics Series, Sciendo, vol. 29(3), pages 38-63, September.
    15. Oksana Kim, 2016. "Market Efficiency and Arbitrage Opportunities for Russian Depositary Receipts Cross-Listed on the London Stock Exchange," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 19(02), pages 1-36, June.

    More about this item

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • G2 - Financial Economics - - Financial Institutions and Services
    • G3 - Financial Economics - - Corporate Finance and Governance

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