The Market Quality to Technical Analysis Performance: Intercountry Analysis

Jogiyanto Hartono, Dedhy Sulistiawan
(Submitted 12 December 2014)
(Published 11 December 2014)


The main objective of this research is to discuss the impact of market quality on technical analysis profitability using inter-country analysis. Market quality is proxied by market capitalization. Technical analysis performance (profitability) is calculated using technical analysis return for MA5 indicator and short transaction strategy. This study uses the OSIRIS and Yahoo Finance databases. Using 21 countries with 50 companies for each country, this study finds that market quality affects technical analysis performance. Robustness tests are conducted for longer moving average indicators that are MA10 and MA15. To make sure that the results are not sensitive toward the strategy used, other robustness tests are conducted by using short and long-short transaction strategies. All robustness tests confirm the findings.     

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DOI: 10.22146/gamaijb.5658


Ahmed, P., K. Beck, and E. Goldreyer. 2000 Can moving average technical trading strategies help in volatile and declining markets? A study of some emerging asian markets. Managerial Finance 26 (6): 49-62.

Bessembinder, H., K. Chan. 1995. The profitability of trading rules in the Asian stock markets. Pasific-Basin Finance Journal 3: 257-284.

Brock, W., L. Lakonishok, and B. LeBaron. 1992. Simple technical trading rules and the stochastic properties of stock returns. Journal of Finance 47 (5): 1731-1764.

Fama, E. F., and M. E. 1966. Filter rules and stock-market trading. Journal of Business 39: 226-241.

Fifield, S. G. M., D. M. Power, and C. D. Sinclair. 2005. An analysis of trading strategies in eleven european stock markets. European Journal of Finance 11: 531-548.

Jensen, M. C., and W. H. 1976. Theory of the firm: Managerial behavior, agency costs and ownership structure. Journal of Financial Economics 3 (4): 305-360.

La Porta, R., F. Lopez-de-Silanes, A. Shleifer, and R. W. Vishny. 1998. Law and finance. Journal of Political Economy 106: 1113-1155.

La Porta, R., F. Lopez-de-Silanes, A. Shleifer, and R. W. Vishny. 2000a. Agency problems and dividend policies around the world. Journal of Finance 55: 1-33.

La Porta, R., F. Lopez-de-Silanes, A. Shleifer, and R. W. Vishny. 2000b. Investor protection and corporate governance. Journal of Financial Economics 58: 3-27.

La Porta, R., F. Lopez-de-Silanes, A. Shleifer, and R. W. Vishny. 2002. Investor protection and corporate valuation. Journal of Finance 57: 1147–1170.

Lara, J. M. G., B. G. Osma, and B. Gill-de-Albornoz. 2006. Effects of database choice on international accounting Research. Abacus 42 (3-4): 426-454.

Luca, C. 2000. Technical Analysis Applications in the Global Currency Markets (2nd ed.). Institute of Finance, New York.

McKenzie, M. D. 2007. Technical trading rules in emerging markets and the 1997 Asian currency crises. Emerging Markets Finance and Trade 43 (4): 46-73.

Milionis, A. E., and E. Papanagiotou. 2008. On the use of moving average trading rule test for weak form efficiency in capital markets. Review of Banking, Finance and Monetary Economics 2: 181-201.

Shleifer, A., and R. W. Vishny. 1997. A survey of corporate governance. Journal of Finance 52 (2): 737-783.

Sulistiawan, D., and J. Hartono. 2014. Can technical analysis signals detect price reaction around earnings announcement? Evidence from Indonesia. The International Journal of Business and Finance Research 8 (1): 113-123.

Sweeney R. J. 1988. Some new filter rule tests: Methods and results. Journal of Financial and Quantitative Analysis 2 (3): 285-300.

Wong, W., M. Manzur, and B. Chew. 2003. How rewarding is technical analysis? Evidence from Singapore Stock Market. Applied Financial Economics 13: 543-551.


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