An Alternative Investigation of Weak Form Efficiency in Dhaka Stock Exchange Based on Technical Analysis

Authors

  • Md. Mahbubul Haque Khan

  • Umma Rumana Huq

Keywords:

dhaka stock exchange, tests of technical trading rules, market efficiency, moving averages combined with stochastic oscillator

Abstract

One highly documented method to test a capital market for weak form efficiency is to identify the return predictability of technical trading rules in that market. Studies on these tests are fewer in number in emerging markets than that of in developed markets and most of the tests have drawn conclusion by including only trend indicators in their trading rules. But it has already been recognized in some previous developed markets studies that trend indicators generally fail to identify sufficient information content in the past prices; hence practitioners very often use these trend indicators combined with confirming indicator (Loh 2007). The current study has investigated Dhaka Stock Exchange, an emerging market of South Asia, for weak form market efficiency by approaching the tests of technical trading rules and has confirmed the profitability of these rules up to 2.15 percent costs per transaction. Here it has used stochastic oscillator as a confirming indicator combined with moving averages (trend indicators) which is the first study of its kind in this market, and has found that it can improve the return predictability only for the short length moving averages.

How to Cite

An Alternative Investigation of Weak Form Efficiency in Dhaka Stock Exchange Based on Technical Analysis. (2014). Global Journal of Management and Business Research, 14(27), 103-110. https://journalofbusiness.org/index.php/GJMBR/article/view/

References

Shelina Akhter, M. Misir, Abu (2005) Capital Markets Efficiency: Evidence from the Emerging Capital Market with Particular Reference to Dhaka Stock Exchange. 12(3), 35-51.

Sidney Alexander (1961) Price Movements in Speculative Markets- Trends or Random Walks. 2(2), 7-26.

Sidney Alexander (1964) Price Movements in Speculative Markets- Trends or Random Walks. 5(2), 25-46.

F. Allen, R. Karjalainen (1999) Using genetic algorithms to find technical trading rules. 51, 245-272.

Hassan Aly, Mehdian, &. Seyed, Perry, J. Mark (2004) An Analysis of Day-of-the-Weak Effects in the Egyptian Stock Market. 9(3), 301-308.

William Brock, Josef Lakonishok, Blake LeBaron (1992) Simple Technical Trading Rules and the Stochastic Properties of Stock Returns. 47(5), 1731-1764. https://doi.org/10.1111/j.1540-6261.1992.tb04681.x

Sergio Chion, Veliz C, Carlos N (2008) On the Normality of Stock Return Distributions: Latin American Markets. 1(2), 90-108.

Arusha Cooray, Guneratne Wickremasinge (2007) The Efficiency of Emerging Stock Markets: Empirical Evidence from the South Asian Region. 41(1), 171-183.

Eugene Fama, Marshall Blume (1966) Filter Rules and Stock-Market Trading. 39(S1), 226. https://doi.org/10.1086/294849

Eugene Fama, Kenneth French (1988) Permanent and Temporary Components of Stock Prices. 96(2), 246-273. https://doi.org/10.1086/261535

Eugene Fama (1965) The Behavior of Stock-Market Prices. 38(1), 34. https://doi.org/10.1086/294743

Eugene Fama (1965) Random Walks in Stock Market Prices. 21(5), 55-59. https://doi.org/10.2469/faj.v21.n5.55

Eugene Fama (1970) Efficient Capital Markets: A Review of Theory and Empirical Work. 25(2), 383-417.

Eugene Fama (1991) Efficient Capital Markets: II. 46(5), 1575-1617. https://doi.org/10.1111/j.1540-6261.1991.tb04636.x

Claire Gilmore, Ginette McManus (2001) Random-Walk and Efficiency Tests of Central European Equity Markets. https://doi.org/10.2139/ssrn.269510

Rakesh Gupta, Junhao Yang (2011) Weak Form Efficiency In Indian Stock Markets. 6(3), 108-119. https://doi.org/10.19030/iber.v6i3.3353

Arshad Hassan, Muhammad Abdullah, Shoib, Zulfiqar Shah, Ali (2007) Testing of Random Walks and Market Efficiency in an Emerging Market: An empirical Analysis of Karachi Stock Exchange. 9(1), 271-280.

Y. Hong, T. Lee (2003) Inference on via generalized spectrum and nonlinear time series models. 85, 1048-1062.

Robert Hudson, Michael Dempsey, Kevin Keasey (1996) A note on the weak form efficiency of capital markets: The application of simple technical trading rules to UK stock prices - 1935 to 1994. 20(6), 1121-1132. https://doi.org/10.1016/0378-4266(95)00043-7

Tashfeen Hussain, Liton Chakraborty, Mir Kabir, Ahasan (2008) Is Dhaka Stock Exchange Efficient? An Application of Technical Trading Rule.

Dušan Isakov, Marc Hollistein (1999) Application of Simple Technical Trading Rules to Swiss Stock Prices: Is it Profitable?. https://doi.org/10.2139/ssrn.904366

F. James, Jr (1968) Monthly Moving Averages--An Effective Investment Tool?. 3(3), 315. https://doi.org/10.2307/2329816

Michael Jensen, George Benington (1970) RANDOM WALKS AND TECHNICAL THEORIES: SOME ADDITIONAL EVIDENCE. 25(2), 469-482. https://doi.org/10.1111/j.1540-6261.1970.tb00671.x

Mir Kader, Afm Abdul & Rahman, Ataur (2005) Testing the Weak-Form Efficiency of an Emerging Market: Evidence from the Dhaka Stock Exchange of Bangladesh. 4(2), 109-132.

M. Kendall (1953) The Analysis of Economic Time-Series-Part I: Prices. 116(1), 11. https://doi.org/10.2307/2980947

Md Khan, Haque, Umma Huq, Rumana (2012) Distribution of Risk and Return: A Statistical Test of Normality on Dhaka Stock Exchange. 3(3), 28-38.

Md Khan, Haque, Umma Huq, Rumana (2013) An Empirical Test of Weak Form Market Efficiency on an Emerging Market: Evidence from Dhaka Stock Exchange. (2).

Rakesh Kumar, Raj Dhankar (2011) Distribution of Risk and Return: A Test of Normality in Indian Stock Market. 18(1), 109-118.

Camillo Lento (2007) Tests of Technical Trading Rules in the Asian-Pacific Equity Markets: A Bootstrap Approach.

Andrew Lo, A. MacKinlay (1988) Stock Market Prices Do Not Follow Random Walks: Evidence from a Simple Specification Test. 1(1), 41-66. https://doi.org/10.1093/rfs/1.1.41

Elaine Loh (2007) An alternative test for weak form efficiency based on technical analysis. 17(12), 1003-1012. https://doi.org/10.1080/09603100600749352

Massoud Metghalchi, Xavier Garza-Gomez, Yong Glasure, Yung-Ho Chang (2008) Are Moving Average Trading Rules Profitable? Evidence From The Mexican Stock Market. 24(1), 115-128.

Terence Mills (1997) Technical analysis and the London Stock Exchange: testing trading rules using the FT30. 2(4), 319-331. https://doi.org/10.1002/(sici)1099-1158(199710)2:4

Asma Mobarek, Keavin Keasey (2000) Weak-form market efficiency of an emerging Market: Evidence from Dhaka Stock Market of Bangladesh.

Asma Mobarek, A. Mollah, Rafiqul Bhuyan (2008) Market Efficiency in Emerging Stock Market: Evidence from Bangladesh. 7(1), 17-41. https://doi.org/10.1177/097265270700700102

M. Moustafa (2004) Testing the Weak-Form Efficiency of the United Arab Emirates Stock Market. 9(3), 309-325.

Collins Ntim, Kwaku Opong, Jo Danbolt (2007) An Empirical Re-Examination of the Weak Form Efficient Markets Hypothesis of the Ghana Stock Market Using Variance-Ratios Tests.

Sunil Poshakwale (1996) Evidence on Weak Form Efficiency and Day of the Weak Effect in the Indian Stock Market. 10(3), 605-616.

James Poterba, Lawrence Summers (1988) Mean reversion in stock prices. 22(1), 27-59. https://doi.org/10.1016/0304-405x(88)90021-9

Awais Rehman, Ur, Masood, Mubashar, Arshed, &. Saleem, Shah, Zulfiqar Syed, Ali (2012) Evaluation of Weak Form of Efficiency: An Empirical Study of Emerging South Asian Stock Markets. 88, 124-131.

Frank Reilly, Keith Brown (2004) Investment Analysis and Portfolio Management.

Richard Sweeny (1988) Some New Filter Rule Tests: Methods and Results. 23(3), 285. https://doi.org/10.2307/2331068

R. Vaidyanathan, Kanti Gali, Kumar (1994) Efficiency of the Indian Capital Market. 2, 35-38.

James Van Horne, George Parker (1967) The Random-Walk Theory: An Empirical Test. 23(6), 87-92. https://doi.org/10.2469/faj.v23.n6.87

An Alternative Investigation of Weak Form Efficiency in Dhaka Stock Exchange Based on Technical Analysis

Published

2014-07-31

How to Cite

An Alternative Investigation of Weak Form Efficiency in Dhaka Stock Exchange Based on Technical Analysis. (2014). Global Journal of Management and Business Research, 14(27), 103-110. https://journalofbusiness.org/index.php/GJMBR/article/view/