Bootstrap testing of trading strategies in emerging balkan stock markets

dc.contributor.authorRadovanov, Boris
dc.contributor.authorMarcikić, Aleksandra
dc.contributor.otherEkonomická fakultacs
dc.date.accessioned2017-12-20
dc.date.available2017-12-20
dc.date.issued2017-12-20
dc.description.abstractMost lately, the attention of technical trading analysis has shifted to emerging stock markets which collectively bring a significant alternative source of opportunities to international investors. Accordingly, the aim of this paper is to investigate the effectiveness of four technical trading rules (moving average, filter, trading range breakout and channel breakout rule) in six stock market indices of the Balkan States. Also, the paper is providing resume evidence on the predictive power of four mentioned trading rules. We apply the Reality Check and the Superior Predictive Ability test using bootstrap methodology to evaluate the relative performance of those rules. Furthermore, presented tests provide an answer to data snooping problems, which is essential to obtain unbiased outcomes. The original time series is resampled with random draw in two ways: a parametric residual-based method from the AR(1)-GARCH(1,1) model, and a nonparametric, the moving block bootstrap. After including data snooping biases, this study finds that the null hypothesis that trading rules do not outperform the benchmark can be rejected at the 5 percent significance level for five separate stock indices, excluding the MBI10 index. Similarly, such results show the rejection of the weak-form market efficiency hypothesis in case of mentioned stock markets. Applied technical trading rule algorithms in all six stock market indices mainly generate more losing trades then wining trades. Finally, transaction costs have relatively small effect on the overall performance of selected technical trading rules in case of indices BELEX15, CROBEX, SBITOP and MONEX20, but with some changes in choice of the best technical trading rule considering the effects of trading frequencies.en
dc.formattext
dc.format.extent17 stran
dc.identifier.doi10.15240/tul/001/2017-4-008
dc.identifier.eissn2336-5604
dc.identifier.issn1212-3609
dc.identifier.urihttps://dspace.tul.cz/handle/15240/21382
dc.language.isoen
dc.publisherTechnical university of Liberec, Czech Republicen
dc.publisherTechnická Univerzita v Libercics
dc.publisher.abbreviationTUL
dc.relation.isbasedonBen-Zion, U., Klein, P., Shachmurove, Y., & Yagil, J. (2003). Efficiency Difference between the S&P 500 and Tel-Aviv 25 Indices: A Moving Average Comparison. International Journal of Business, 8(3), 267-284. doi:10.2139/ssrn.420243.
dc.relation.isbasedonBeogradska berza. (2014). Retrieved June 16, 2014, from http://www.belex.rs/trgovanje/indeksi/belex15/istorijski.
dc.relation.isbasedonBerkowitz, J., & Kilian, L. (2000). Recent Developments in Bootstrapping Time Series. Econometric Review, 19(1), 1-48. doi:10.1080/07474930008800457.
dc.relation.isbasedonBessembinder, H., & Chan, K. (1995). The Profitability of the Technical Trading Rules in the Asian Stock Markets. Pacific-Basin Finance Journal, 3(2), 257-284. doi:10.1016/0927-538X(95)00002-3.
dc.relation.isbasedonBrock, W., Lakonishok, J., & LeBaron, B. (1992). Simple Technical Trading Rules and the Stochastic Properties of Stock Returns. Journal of Finance, 47(5), 1731-1764. doi:10.1111/j.1540-6261.1992.tb04681.x.
dc.relation.isbasedonChang, E., Lima, E., & Tabak, B. (2004). Testing for Predictability in Emerging Equity Markets. Emerging Market Review, 5(3), 295-316. doi:10.1016/j.ememar.2004.03.005.
dc.relation.isbasedonCharoenwong, B. (2012). An Exploration of Simple Optimized Technical Trading Strategies. Retrieved January 15, 2014, from http://deepblue.lib.umich.edu/bitstream/handle/2027.42/91813/chben.pdf?sequence=1.
dc.relation.isbasedonChen, C. W., Huang, C. S., & Lai, H. W. (2009). The Impact of Data Snooping on the Testing of Technical Analysis: An Empirical Study of Asian Stock Markets. Journal of Asian Economics, 20(5), 580-591. doi:10.1016/j.asieco.2009.07.008.
dc.relation.isbasedonCoe, T., & Laosethakul, K. (2010). Should Individual Investors Use Technical Trading Rules to Attempt to Beat the Market? American Journal of Economics and Business Administration, 2(3), 201-209. doi:10.3844/ajebasp.2010.201.209.
dc.relation.isbasedonEfron, B. (1979). Bootstrap Methods: Another Look at the Jackknife. Annals of Statistics, 7(1), 1-26. doi:10.1214/aos/1176344552.
dc.relation.isbasedonFestić, M., Kavkler, A., & Dajčman, S. (2012). Long Memory in the Croatian and Hungarian Stock Market Returns. Zbornik radova Ekonomskog fakulteta u Rijeci, 30(1). 115-139.
dc.relation.isbasedonFifield, S., Power, D., & Sinclair, D. (2005). An Analysis of Trading Strategies in Eleven European Stock Markets. The European Journal of Finance, 11(6), 531-548. doi:10.1080/1351847042000304099.
dc.relation.isbasedonGarza-Gomez, X., & Metghalchi, M. (2011). The Effects of Financial Modernization on Market Efficiency: the Case of Mexican Stock Market. Investment Management and Financial Innovations, 8(3), 89-101. doi:10.21511/imfi.14(1-1).
dc.relation.isbasedonGencay, R. (1998). Optimization of Technical Trading Strategies and the Profitability in Security Markets. Economic Letters, 59(2), 249-254. doi:10.1016/S0165-1765(98)00051-2.
dc.relation.isbasedonGunasekarage, A., & Power, D. (2001). The Profitability of Moving Average Trading Rules in South Asian Stock Markets. Emerging Market Review, 2(1), 17-33. doi:10.1016/S1566-0141(00)00017-0.
dc.relation.isbasedonHansen, P., & Lunde, A. (2005). A Forecast Comparison of Volatility Models: Does Anything Beat a GARCH(1,1)? Journal of Applied Econometrics, 20(7), 873-889. doi:10.1002/jae.800.
dc.relation.isbasedonKizys, R., & Pierdzioch, C. (2011). The Financial Crisis and the Stock Markets of the CEE Countries. Finance a úvěr-Czech Journal of Economics and Finance, 61(1), 153-172.
dc.relation.isbasedonKwon, K., & Kish, R. (2002). Technical Trading Strategies and Return Predictability: NYSE. Applied Financial Economics, 12(9), 639-653. doi:10.1080/09603100010016139.
dc.relation.isbasedonKunsch, H. (1989). The Jackknife and the Bootstrap for General Stationary Observations. Annals of Statistics, 17(3), 1217-1241. doi:10.1214/aos/1176347265.
dc.relation.isbasedonLeBaron, B. (1999). Technical Trading Rule Profitability and Foreign Exchange Intervention. Journal of International Economics, 49(1), 125-143. doi:10.3386/w5505.
dc.relation.isbasedonLento, C. (2010). The Combined Signal Approach to Technical Analysis: A Review & Commentary. Applied Economic Letters, 16(7), 749-753. doi:10.2139/ssrn.1410899.
dc.relation.isbasedonLiu, R., & Singh, K. (1992). Moving Blocks Jackknife and Bootstrap Capture Weak Dependance. New York: John Wiley & Sons.
dc.relation.isbasedonLjubljanska borza. (2014). Market data. Retrieved June 16, 2014, from http://www.ljse.si/cgi-bin/jve.cgi?doc=2069.
dc.relation.isbasedonLonnbark, C., & Soultanaeva, A. (2009). Profitability of the Technical Trading Rules on the Baltic Stock Markets. [Umea Economic Studies, Working Paper 761]. Retrieved January 15, 2015, from http://www.usbe.umu.se/digitalAssets/7/7765_ues761.pdf.
dc.relation.isbasedonMacedonian Stock Exchange. (2014). Retrieved June 16, 2014, from http://www.mse.mk/en/indicies/MBI10/values/100.
dc.relation.isbasedonMarshall, B., Qian, S., Young, M., Chuang. S., & Gielen, U. (2009). Is Technical Analysis Profitable on US Stocks with Certain Size, Liquidity or Industry Characteristics? Applied Financial Economics, 19(15), 1213-1221. doi:10.2139/ssrn.929954.
dc.relation.isbasedonMcKenzie, M. (2007). Technical Trading Rules in Emerging Markets and the 1997 Asian Currency Crises. Emerging Markets Finance and Trade, 43(4), 46-73. doi:10.2753/REE1540-496X430403.
dc.relation.isbasedonMetghalchi, M., Glasure, Y., Garza-Gomes, X., & Chen, C. (2007). Profitable Technical Trading Rules for the Austrian Stock Markets. International Business & Economics Research Journal, 6(9), 49-58. doi:10.19030/iber.v6i9.3405.
dc.relation.isbasedonMetghalchi, M., Chang, Y., & Marcucci, Y. (2008). Is the Swedish Stock Market Efficient? Evidence from some Simple Trading Rules. International Review of Financial Analysis, 17(3), 475-490. doi:10.1016/j.irfa.2007.05.001.
dc.relation.isbasedonMills, T. (1997). Technical Analysis and the London Stock Exchange: Testing Trading Rules Using the FT30. International Journal of Finance and Economics, 2(1), 319-331. doi:10.1002/(SICI)1099-1158(199710)2:43.3.CO;2-Y.
dc.relation.isbasedonMitra, S. (2011). Usefulness of Moving Average Based Trading Rules in India. International Journal of Business and Management, 6(7), 199-206. doi:10.5539/ijbm.v6n7p199.
dc.relation.isbasedonMontenegro berza. (2014). MONEX. Retrieved June 16, 2014, from http://www.montenegroberza.com/code/navigate.asp?Id=83.
dc.relation.isbasedonPapathanasiou, S., & Samitas, A. (2010). Profits from Technical Trading Rules: the Case of Cyprus Stock Exchange. Journal of Money, Investment and Banking, 13(1), 35-43. doi:10.1080/00036846.2015.1013609.
dc.relation.isbasedonParisi, F., & Vasquez, A. (2000). Simple Technical Trading Rules of Stock Returns: Evidence from 1987-1998 in Chile. Emerging Market Review, 1(2), 152-164. doi:10.1016/s1566-0141(00)00006-6.
dc.relation.isbasedonPark, C. H., & Irwin, S. (2007). What Do We Know About the Profitability of Technical Analysis. Journal of Economic Surveys, 21(4), 786-826. doi:10.1111/j.1467-6419.2007.00519.x.
dc.relation.isbasedonPauwels, S., Inghelbrecht, K., Heyman, D., & Marius, P. (2012). Technical Trading Rules in Emerging Stock Markets. World Academy of Science, Engineering and Technology, 59(1), 2241-2264. doi:10.2139/ssrn.1998036.
dc.relation.isbasedonQi, M., & Wu, Y. (2006). Technical Trading-Rule Profitability, Data Snooping and Reality Check: Evidence from the Foreign Exchange Market. Journal of Money, Credit and Banking, 38(8), 2135-2158. doi:10.1353/mcb.2007.0006.
dc.relation.isbasedonRatner, M., & Leal, R. (1999). Test of Technical Trading Strategies in the Emerging Equity Markets of Latin America and Asia. Journal of Banking & Finance, 23(12), 1887-1905. doi:10.1016/S0378-4266(99)00042-4.
dc.relation.isbasedonReady, M. (2002). Profits from Technical Trading Rules. Financial Management, 31(3), 43-61. doi:10.2139/ssrn.64168.
dc.relation.isbasedonRuiz, E., & Pascual, L. (2002). Bootstrapping Financial Time Series. Journal of Economic Surveys, 16(3), 271-300. doi:10.1111/1467-6419.00170/pdf.
dc.relation.isbasedonStavarek, D., & Heryan, T. (2012). Day of the Week Effect in Central European Stock Markets. E&M Ekonomie a Management, 15(4), 134-146.
dc.relation.isbasedonSullivan, R., Timmermann, A., & White, H. (1999). Data Snooping, Technical Trading Rule Performance, and the Bootstrap. Journal of Finance, 54(5), 1647-1691. doi:10.1111/0022-1082.00163.
dc.relation.isbasedonWhite, H. (2000). A Reality Check for Data Snooping. Econometrica, 68(5), 1097-1126. doi:10.1111/1468-0262.00152.
dc.relation.isbasedonWong, W., Manzur, M., & Chew, B. (2003). How Rewarding is Technical Analysis? Evidence from Singapore Stock Market. Applied Financial Economics, 13(7), 543-551. doi:10.1080/0960310022000020906.
dc.relation.isbasedonZagrebačka burza. (2014). Indeks CROBEX. Retrieved June 16, 2014, from http://www.zse.hr/default.aspx?id=44101&index=CROBEX.
dc.relation.isbasedonŽiković, S. (2008). Quantifying Extreme Risk in Stock Markets: A Study of Former Yugoslavia States. Zbornik radova Ekonomskog fakulteta u Rijeci, 26(1), 41-68.
dc.relation.isbasedonŽiković, S., & Aktan, B. (2009). Global Financial Crisis and VaR Performance in Emerging Markets: A Case of EU Candidate States – Turkey and Croatia. Zbornik radova Ekonomskog fakulteta u Rijeci, 27(1), 149-170.
dc.relation.ispartofEkonomie a Managementcs
dc.relation.ispartofEconomics and Managementen
dc.relation.isrefereedtrue
dc.rightsCC BY-NC
dc.subjecttechnical trading rulesen
dc.subjectstock market indicesen
dc.subjectmarket efficiencyen
dc.subjectbootstrapen
dc.subjectdata snoopingen
dc.subject.classificationC15
dc.subject.classificationC22
dc.subject.classificationG14
dc.subject.classificationG15
dc.titleBootstrap testing of trading strategies in emerging balkan stock marketsen
dc.typeArticleen
local.accessopen
local.citation.epage119
local.citation.spage103
local.facultyFaculty of Economics
local.fulltextyes
local.relation.abbreviationE+Mcs
local.relation.abbreviationE&Men
local.relation.issue4
local.relation.volume20
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