بررسی عملکرد استراتژی معاملاتی معکوس در بورس اوراق بهادار تهران بر اساس معیارهای ریسک شرکت

محورهای موضوعی : سرمایه‌گذاری

ابراهیم قشقایی ¹ , اله کرم صالحی ² , علی محمودی راد ³

1 - گروه مدیریت، واحد مسجدسلیمان، دانشگاه آزاد اسلامی، مسجدسلیمان، ایران.
2 - گروه حسابداری، واحد مسجدسلیمان، دانشگاه آزاد اسلامی، مسجدسلیمان، ایران.
3 - گروه ریاضیات کاربردی، واحد مسجدسلیمان، دانشگاه آزاد اسلامی، مسجدسلیمان، ایران.

تاریخ دریافت : 1401/09/22 تاریخ پذیرش : 1402/01/10 تاریخ انتشار : 1402/01/01

کلید واژه: اهرم مالی, ریسک اعتباری, ریسک سیستماتیک, ریسک نقدینگی, استراتژی معاملاتی معکوس,

چکیده مقاله :

هدف: در تئوری مالی سنتی، این گزاره وجود دارد که در هر بورس اوراق بهادار، کارایی در بازار سهام حاکم است. بااین‌حال، شواهدی از ناهنجاری های بازار، مانند اثر حرکت و اثر معکوس وجود دارد. هدف از این مطالعه بررسی عملکرد استراتژی تجاری معکوس تحت معیارهای ریسک است که برای دستیابی به این هدف، چهار فرضیه مطرح شد.روش‌شناسی پژوهش: روش این پژوهش توصیفی از نوع همبستگی است. جامعه آماری شامل کلیه شرکت های پذیرفته‌شده در بورس اوراق بهادار تهران در دوره زمانی 1392 تا 1399 می باشد که با استفاده از روش نمونه گیری حذفی سیستماتیک تعداد 118 شرکت به‌عنوان نمونه انتخاب شدند. در این پژوهش سود معکوس به‌عنوان متغیر وابسته و ریسک سیستماتیک، ریسک نقدینگی، ریسک اعتباری و اهرم مالی به‌عنوان متغیرهای توضیحی در نظر گرفته شد.یافته‌ها: یافته ها نشان داد که ریسک سیستماتیک بر سود معکوس در تمامی دوره های تشکیل و نگهداری پرتفوی اثر مثبت دارد. ریسک نقدینگی تأثیر معناداری بر سود معکوس ندارد. ریسک اعتباری و اهرم مالی تأثیر مثبتی بر سود معکوس دارند. همچنین نتایج نشان داد که تأثیر ریسک سیستماتیک، ریسک اعتباری و اهرم مالی بر سود معکوس در دوره 24ماهه بیش از دوره 12 و 36ماهه است.اصالت / ارزش‌افزوده علمی: نتایج این مطالعه به سرمایه‌گذاران و مدیران پرتفوی کمک می‌کند که هنگام سرمایه‌گذاری از طریق استراتژی معاملاتی معکوس، ریسک‌های شرکت را در نظر بگیرند. علاوه بر این، فعالان بازار باید در هنگام استفاده از استراتژی سرمایه‌گذاری معکوس، روی ریسک سیستماتیک، ریسک اعتباری و اهرم مالی بالا تمرکز کنند؛ زیرا این ابعاد ریسک فرصت‌هایی را برای آن‌ها فراهم می‌کند تا بازدهی غیرعادی به دست آورند.

چکیده انگلیسی:

Purpose: In traditional financial theory, the efficient market hypothesis states that market efficiency prevails in every stock exchange. However, evidence of market anomalies such as momentum effect and reversal effect exists. The aim of this study is to examine the performance of the reverse trading strategy under risk measures. To achieve this objective, four hypotheses were proposed.Methodology: This research employs a descriptive correlational method. The population of the study consists of all listed companies in the Tehran Stock Exchange during the period from 2013 to 2020. A systematic sampling technique was used to select a sample of 118 companies. Reverse profit is considered as the dependent variable, while systematic risk, liquidity risk, credit risk, and financial leverage are considered as explanatory variables.Findings: The findings indicate that systematic risk has a positive effect on reverse profit in all holding and formation periods. Liquidity risk does not have a significant impact on reverse profit. Credit risk and financial leverage have a positive effect on reverse profit. Furthermore, the results show that the influence of systematic risk, credit risk, and financial leverage on reverse profit is greater in the 24-month period compared to the 12-month and 36-month periods.Originality / Value: The results of this study provide valuable insights for portfolio investors and managers to consider company risks when investing through the reverse trading strategy. Additionally, market participants should focus on high levels of systematic risk, credit risk, and financial leverage when utilizing the reverse trading strategy, as these risk dimensions present opportunities for them to achieve extraordinary returns.

منابع و مأخذ:

Ahmadpour, A., & Marvi, F. (2016). The Relation of Risk-Adjusted Excess Return with Liquidity and Liquidity Risk (Companies Listed in Tehran Stock Exchange). Journal of Asset Management and Financing, 4(3), 77-90. [In Persian]

Ali, A., & Badhani, K. N. (2020). Beta-Anomaly: Evidence from the Indian Equity Market. Asia-Pacific Financial Markets, 28, 55-78.

Alper, D., & Aydoğan, E. (2017). The Profitability of Contrarian Strategy: Borsa Istanbul Case. Muhasebe ve Finansman Dergisi, 74, 201–214.

Amromin, G., & Sharpe, S. A. (2009). Expectations of risk and return among household investors: Are their Sharpe ratios countercyclical? Federal Reserve Bank, Chicago.

Antoniou, A., Galariotis, E. C., & Spyrou, S. I. (2006). The effect of time-varying risk on the profitability of contrarian investment strategies in a thinly traded market: a Kalman filter approach. Applied Financial Economics, 16(18), 1317–1329.

Bali, T. G., & Cakici, N. (2010). World market risk, country-specific risk and expected returns in international stock markets. Journal of Banking & Finance, 34(6), 1152–1165.

Bonner, S. E., Clor-Proell, S. M., & Koonce, L. (2014). Mental Accounting and Disaggregation Based on the Sign and Relative Magnitude of Income Statement Items. The Accounting Review, 89(6), 2087–2114.

Boynton, W., & Oppenheimer, Henry R. (2006). Anomalies in Stock Market Pricing: Problems in Return Measurements. The Journal of Business, 79(5), 2617–2631.

Butt, H. A., Högholm, K., & Sadaqat, M. (2020). Reversal returns and expected returns from liquidity provision: Evidence from emerging markets. Journal of Multinational Financial Management, 100664.

Chancharat, S., & Sinlapates, P. (2021). The profitability of trading strategies based on historical prices and risk: evidence from Thailand. International Journal of Monetary Economics and Finance, 14(4), 323–331.

Dang, T. L., & Nguyen, T. M. H. (2020). Liquidity risk and stock performance during the financial crisis. Research in International Business and Finance, 52, 101165.

De Bondt, W. F. M., & Thaler, R. H. (1987). Further Evidence On Investor Overreaction and Stock Market Seasonality. The Journal of Finance, 42(3), 557–581.

Dreman, D. N. (1981). Contrarian Investment Strategy: The Psychology of Stock Market Success. Vintage Books.

Erza, A. H., Peymany, M., & Seifi, F. (2017). Calculation of Credit Risk and Its Effect on Return in Tehran Stock Exchange. Empirical Studies in Financial Accounting, 14(55), 169-196. [In Persian]

Fadaie Nejad, M. E., Farahani, R., & Mhoseynabadi, M. (2021). Evaluation of the Profitability of Momentum and Reversal Strategies of Industry in the Capital Market of Iran. Journal of Asset Management and Financing, 9(1), 93-112. [In Persian]

Farhadi Sharif Abad, M., & Doaei, M. (2022). Modeling investor tendencies with emphasis on psychological factors by fuzzy Delphi and DEMATEL methods. Advances in Finance and Investment, 2(5), 113-144. [In Persian]

Georgoudakis, D., Syriopoulos, T., & Sys, C. (2022). Investment and trading strategies in the maritime sector: an application to the secondhand containership market. WMU Journal of Maritime Affairs, 22, 59-89.

Golarzi, G., & Danayi, K. (2019). Evaluation of Shareholders’ Overreaction and its Comparison in Small and Large Companies (Case Study: Accepted Companies in Tehran Stock Exchange). Financial Management Perspective, 9(25), 59-76. [In Persian]

Gopalan, R., Kadan, O., & Pevzner, M. (2012). Asset Liquidity and Stock Liquidity. Journal of Financial and Quantitative Analysis, 47(2), 333–364.

Hamid, K., Hussain, Z., & Ghafoor, M. M. (2020). Abnormal Returns, Corporate Financial Policies and the Dynamics of Leverage: Empirical Evidence from Non-Financial Sector of Pakistan. Review of Economics and Development Studies, 6(1), 153–166.

Haque, A., Rao, M. & Qamar, M. A. J. (2022). Inter-Factor Determinants of Return Reversal Effect with Dynamic Bayesian Network Analysis: Empirical Evidence from Pakistan. The Journal of Asian Finance, Economics and Business, 9(3), 203-215.

Hekmat, H., Rahmani, A., Molanazari, M., Mousavi, M. H., & Ghalibaf Asl, H. (2020). Accounting Information & Semi- Strong Stock Market Efficiency. Empirical Research in Accounting, 10(2), 23-50. [In Persian]

Hundal, S., Eskola, A., & Tuan, D. (2019). Risk–return relationship in the Finnish stock market in the light of Capital Asset Pricing Model (CAPM). Journal of Transnational Management, 24(4), 1–18.

Imran Hunjra, A., Tayachi, T., Mehmood, R., Malik, S., & Malik, Z. (2020). Impact of Credit Risk on Momentum and Contrarian Strategies: Evidence from South Asian Markets. Risks, 8(2), 37.

Jalilvand, A., & Rostami Noroozabad, M. (2018). Dynamics of Investors’ Financial Literacy, Risk Perceptions and Emotions: Evidence from the Tehran Stock Exchange. Journal of Investment Knowledge, 7(27), 141-170. [In Persian]

Jegadeesh, N., & Titman, S. (2001). Profitability of Momentum Strategies: An Evaluation of Alternative Explanations. The Journal of Finance, 56(2), 699–720.

Li, X., Sullivan, R. N., & Garcia-Feijoo, L. (2016). The Low-Volatility Anomaly: Market Evidence on Systematic Risk versus Mispricing. Financial Analysts Journal, 72(1), 36-47.

Marzban, H. A,. Sotudeh, R,. Piri, H. (2022). Investigating the Relationship between Multiple Variables and Momentum and Inverse Profits in Tehran Capital Market. Mieaoi, 10(37), 159-183. [In Persian]

Metawa, N., Hassan, M. K., Metawa, S., & Safa, M. F. (2019). Impact of behavioral factors on investors’ financial decisions: case of the Egyptian stock market. International Journal of Islamic and Middle Eastern Finance and Management, 12(1), 30–55.

Mirhasheminasab, S. A., Mohamadzadeh, A., Mohammadnoorbakhsh Langaroodi, M., & Akhoondi, N. (2019). A Model for Syntactic Investigation between Risk taking, Personal and Cultural properties on Herding Behavior in Tehran Stock Exchange. Financial Management Perspective, 9(28), 65-90. [In Persian]

Naughton, T., Truong, C., & Veeraraghavan, M. (2008). Momentum strategies and stock returns: Chinese evidence. Pacific-Basin Finance Journal, 16(4), 476–492.

O’ Keeffe, C., & Gallagher, L. A. (2017). The winner-loser anomaly: recent evidence from Greece. Applied Economics, 1–11.

Pandya. B. (2016). Impact of Financial Leverage on Market Value Added: Empirical Evidence from India. Journal of Entrepreneurship, Business and Economics, 4)2(, 40–58.

Power, J., Power, B., & Ryan, G. (2022). Determinants of equity financing: a demand-side analysis of Irish indigenous technology-based firms. The Irish Journal of Management, 41(1), 52-68.

Rahmani, A., & Sarhangi, H. (2011). Analysis of factors affecting trading strategies based on stock returns. Financial Engineering and Portfolio Management, 2(9), 79-104. [In Persian]

Ramsheh, M., & Janati, A. (2020). The Deviation from Optimal Leverage and Abnormal Returns. Financial Management Strategy, 8(4), 135-156. [In Persian]

Sadeghi lafmejani, M. A., & ramezani, J. (2022). The Impact of Ownership Structure and Strategy Change on Stock Price Fluctuations with Emphasis on the Modulatory Effectiveness of Investment Information and Investment Returns. Journal of Investment Knowledge, 11(42), 73-92. [In Persian]

Schiereck, D., De Bondt, W., & Weber, M. (1999). Contrarian and Momentum Strategies in Germany. Financial Analysts Journal, 55(6), 104–116.

Shafira Ramadhanty, N. & Budiasih, G. A. N. (2020). The Effect of Financial Leverage on Stock Returns with Corporate Social Responsibility Disclosure as Moderating Variable (Empirical Study on Mining Companies Listed on Indonesia Stock Exchange in 2016-2018). American Journal of Humanities and Social Sciences Research, 4(6), 48-53.

Talaneh, A., & Hejran Keshrad, H. (2011). Investigating the performance of Tehran Stock Exchange at weak and semi strong level. Accounting and Auditing Research, 3(12), 64-81. [In Persian]

Talebi, R., Zanjirdar, M., & Pour Fakharan, M. (2021). Analysis and explanation of stock returns based on third and fourth order torques of non-systematic risk and the role of arbitrage constraints and investors' limited attention to it. Advances in Finance and Investment, 2(3), 97-130. [In Persian]

Tavakoli, A., Sadeghi sharif, S. J., & osoolian, M. (2021). The Momentum Effect in the Tehran Stock Market: Risk Hypothesis vs. Under-reaction Hypothesis. Financial Engineering and Portfolio Management, 12(49), 166-182. [In Persian]

Walela, E., Omagwa, J., & Muathe, S. (2022). Financial Risk, Firm Size and Financial Distress: Turbulent Times for Firms Listed at the Nairobi Securities Exchange, Kenya. Advanced Journal of Social Science, 10(1), 88–102.

Yelamanchili, R. K. (2019). Impact of Consumer Sentiment on Defensive and Aggressive Stock Returns: Indian Evidence. International Journal of Economics and Financial Issues, 9(4), 109–114.

Yusefi asl, F., Hajian, N., & safari khalkiasari, M. (2022). Investor Sentiment and Management Earnings Forecast. Empirical Research in Accounting, 12(1), 1-26. [In Persian]