Effectiveness of Stop-Loss Trading Strategy VS Buy-And-Hold Strategy

Document Type : Original Article

Authors

1 Department of Management, Faculty of Industrial Engineering and Management, Shahrood University of Technology

2 Department of Management, Faculty of Industrial Engineering & Management, Shahrood University of Technology

3 shahrood, Faculty of Industrial Engineering & Management, Shahrood University of Technology

Abstract

The current research investigates the top 30 companies of the Tehran Stock Exchange from 2009 to 2021, looking at each quarter. In this study, the traditional stop-loss (SL1) and trailing stop-loss (SL2) methods were used to calculate the stop-loss and buy-and-hold strategies to compare their trading effectiveness. The return variable was calculated separately for the first, second, and third months and all three were used together. To investigate the relationship between variables, EViews and SPSS software was used. The variables were subjected to significant and descriptive statistical analysis. The Paired Simple Test results showed that the Trailing Stop-loss (SL2) strategy had a higher return than the other two strategies during the three months. The Wilcoxon nonparametric and Sign tests' results confirmed that the Stop-Loss strategy (SL2) performed better than others. Time series tests such as the Unit Root, Self-correlation, Momentum Behaviour, and Variance Heterogeneity tests were accomplished to investigate the correlation between returns. In brief, the results showed that the Trailing Stop-loss (SL2) strategy functioned better than the other two strategies on the Iranian Stock Exchange. This finding can help investors decide among different strategies to profit more on the Tehran Stock Exchange.

Keywords

Main Subjects


©2023 The author(s). This is an open access article distributed under Creative Commons Attribution 4.0 International License (CC BY 4.0).

1. Abbasi, E., Samavi, M. E. and Koosha, E. (2020). Performance Evaluation of the Technical Analysis Indicators in Comparison with the Buy and Hold Strategy in Tehran Stock Exchange Indices. Advances in Mathematical Finance and Applications, 5(3), pp. 285-301 (In Persian). https://doi.org/10.22034/AMFA.2020.1893194.1376
2. Abdolbaghi Ataabadi, A., Davoodi, S. M. R. and Salimi Bani, M. (2019). The Effectiveness of the Automatic System of Fuzzy Logic-Based Technical Patterns Recognition: Evidence from Tehran Stock Exchange. Advances in Mathematical Finance and Applications, 4(3), pp. 107-125 (In Persian). https://doi.org/10.22034/AMFA.2019.585179.1185
3. Acar, E. and Toffel, R., (2000). Stop-loss and investment returns. Investment Conference,Faculty and Institute of Actuaries, Hatfield Heath, United Kingdom, pp. 51-68.https://www.actuaries.org.uk/system/files/documents/pdf
4. Alfonso Pérez, G. and Rodríguez Ramírez, D. (2020). A Nonlinear Technical Indicator Selection Approach for Stock Markets. Application to the Chinese Stock Market. Mathematics, 8(8), pp. 1-15. https://doi.org/10.3390/math8081301
5. Arratia, A. and Dorador, A., (2017). On the Effectiveness of Stop-Loss Rules: An Analytical Framework Based on Modeling Overnight Gaps and the Stationary Bootstrap. Working paper, Catalonia, Spain. https://dx.doi.org/10.2139/ssrn.3087196
6. Bader, S., Alhashela, F. W., Almudhafa, J., Andrew, H.,(2018) Technical analysis generate superior returns in securitized property markets? Evidence from East Asia markets, Pacific Basin Finance Journal, 47(1), pp. 92-108. https://doi.org/10.1016/j.pacfin.2017.12.005
7. Barber, B. M. and Odean, T. (2000). Trading is hazardous to your wealth: The common stock investment performance of individual investors. The Journal of Finance, 55(2), pp. 773-806. https://doi.org/10.1111/0022-1082.00226
8. Khodaparasti , R.B and Jahangardi,K. and Boroomandzadeh, H. and Saba, M. (2019). Comparison of The Efficiency of Technical Analysis Indicators In The Capital Market Periods of The Boom And Depression In The Active Manufacturing Companies At The Tehran Stock Exchange, Financial Knowledge of Securities Analysis (FINANCIAL STUDIES), 12(42), pp. 161-147 (In Persian) https://jfksa.srbiau.ac.ir/article_14128.html
9. Cooper, M.J., Cliff, M.T. and Gulen, H., (2008). Return differences between trading and non-trading hours: Like night and day. Working paper, Salt Lake City, Utah. https://dx.doi.org/10.2139/ssrn.1004081
10. Dai, Z., Zhu, H. and Kang, J. (2021). New technical indicators and stock return predictability. International Review of Economics & Finance, 71(8), pp. 127-142. https://doi.org/10.1016/j.iref.2020.09.006
11. Ebrahimi Sarveolia, M. H. and Jahanshahi, J. (2016). Survey on Relationship between Intellectual Capital and Variables Influencing on Investors Decision of the Companies Listed in Tehran Stock Exchange, Empirical Studies in Financial Accounting, 13(49), pp. 53-81 (In Persian). https://doi.org/10.22054/qjma.2016.4194
12. Fama, E. F. (1970). Efficient capital markets: A review of theory and empirical work. The Journal of Finance, 25(2), pp. 383-417. https://doi.org/10.2307/2325486
13. Ferris, S. P., Haugen, R. A. and Makhija, A. K. (1988). Predicting contemporary volume with historic volume at differential price levels: Evidence supporting the disposition effect. The Journal of Finance, 43(3), pp. 677-697. https://doi.org/10.1111/j.1540-6261.1988.tb04599.x
14. Garvey, R. and Murphy, A. (2004). Are professional traders too slow to realize their losses?. Financial Analysts Journal, 60(4), pp. 35-43. https://doi.org/10.2469/faj.v60.n4.2635
15. Geman, H., Madan, D.B. and Yor, M., (2001). Asset prices are Brownian motion: only in business time. In Quantitative Analysis in Financial Markets: Collected Papers of the New York University Mathematical Finance Seminar 2(1), pp. 103-146. https://doi.org/10.1142/9789812810663_0004
16. Hsieh, C. H. (2022). Generalization of affine feedback stock trading results to include stop-loss orders. Automatica, 136(40), A. 110051. https://doi.org/10.1016/j.automatica.2021.110051
17. James, J. and Yang, L. (2010). Stop-losses, maximum drawdown-at-risk and replicating financial time series with the stationary bootstrap. Quantitative Finance, 10(1), pp. 1-12. https://doi.org/10.1080/14697680903545596
18. Joel‐Carbonell, A. and Rottke, N.B. (2009). Efficient markets versus behavioral anomalies: the case of REITs, Journal of Property Investment & Finance, 27(4), pp. 413-424. https://doi.org/10.1108/14635780910972314
19. Kaminski, K. M. and Lo, A. W. (2014). When do stop-loss rules stop losses?. Journal of Financial Markets, 18(10), pp. 234-254. http://dx.doi.0rg/10.1016/j.finmar.2013.07.001
20. Kenny, A. (2005), Advanced Technical Analysis, Working paper, America, United States
21. Keshavarz, S., Vaziri Sereshk, M., Abdolbaghi, A. and Arman, M. (2022). Trading strategies based on trading systems: Evidence from the performance of technical indicators. Journal of System Management, 8(1), pp. 37-50 (In Persian)
https://doi.org/10.30495/jsm.2022.1937933.1509
22. Lei, A. Y. and Li, H. (2009). The value of stop loss strategies. Financial Services Review, 18(1), pp. 23-51. https://dx.doi.org/10.2139/ssrn.1214737
23. Leoni, P.L., (2008). Stop-loss strategies and derivatives portfolios. International Journal of Business Forecasting and Marketing Intelligence, 1(1), pp. 82-93. https://10.1504/ijbfmi.2008.020816
24. Lo, A.W. and Remorov, A., (2017). Stop-loss strategies with serial correlation, regime switching, and transaction costs. Journal of Financial Markets, 34, pp. 1-15. https://doi.org/10.1016/j.finmar.2017.02.003
25. Malkiel, B. G. (2003). The efficient market hypothesis and its critics. Journal of economic perspectives, 17(1), pp. 59-82. https://doi.org/ 10.1257/089533003321164958
26. Malkiel, B.G. (2005). Reflections on the efficient market hypothesis: 30 years later. The Financial Review, 40(1), pp.1-9. https://doi.org/10.1111/j.0732-8516.2005.00090.x
27. Odean, T. (1998). Are investors reluctant to realize their losses? The Journal of Finance, 53(5), pp. 1775-1798. https://doi.org/10.1111/0022-1082.00072
28. Richards, D., Rutterford, J. and Fenton-O’Creevy, M. (2011). Do stop losses work? The disposition effect, stop losses and investor demographics. The Open University Business School Working Paper. Kents Hill, England
29. Saeidi Kousha, M. and Mohebbi, S. (2022). Optimizing stock portfolios by comparing different technical patterns. Quarterly Financial Engineering and Portfolio Management 12(4), pp. 104-125 (In Persian). https://doi.org/20.1001.1.22519165.1400.12.49.5.7
30. Salmani Danglani, S., Saeedi, P., Bahramzadeh, H. A. and Pourshahabi, F. (2019). Representing the Pattern of Relationship between Personality Traits and Investment Patterns in the Stock Market. Journal of System Management, 5(1), pp. 79-114 (In Persian). https://doi.org/20.1001.1.23222301.2019.5.1.5.6
31. Sezer, O. B. and Ozbayoglu, A. M. (2019). Financial trading model with stock bar chart image time series with deep convolutional neural networks. Intelligent Automation and Soft Computing journal. 26(2), pp. 1-16. https://doi.org/10.48550/arXiv.1903.04610
32. Shefrin, H. and Statman, M. (1985). The disposition to sell winners too early and ride losers too long: Theory and evidence. The Journal of Finance, 40(3), pp. 777-790. https://doi.org/10.2307/2327802
33. Thomakos, D. and Yahlomi, R., (2018). Dynamic stop-loss rules as universal performance enhancers. Investment management and financial innovations, 15(2), pp.1-16. https://doi:10.21511/imfi.15(2).2018.01
34. Wiener, Z. and Tompkins, R., (2008). Bad Days and Good Nights: A Re-Examination of Non-Traded and Traded Period Returns.Working paper, Jerusalem, Israel. https://dx.doi.org/10.2139/ssrn.1102165
35. Wong, A. S., Carducci, B. J. and White, A. J. (2006). Asset disposition effect: The impact of price patterns and selected personal characteristics. Journal of Asset Management, 7(3), pp. 291-300. https://doi:10.1057/palgrave.jam.2240219
36. Wu, M. E. and Chung, W. H. (2019). Empirical evaluations on momentum effects of Taiwan index futures via stop-loss and stop-profit mechanisms. International Journal of Information Technology & Decision Making, 18(02), pp. 629-648.
https://doi.org/10.1142/S0219622019500056
37. Yang, C. and Zhang, Z. (2021). Realization utility with stop-loss strategy. The Quarterly Review of Economics and Finance, 81(20), pp. 261-275. https://doi.org/10.1016/j.qref.2021.06.017
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