Performance Evaluation of the Technical Analysis Indicators in Comparison with the Buy and Hold Strategy in Tehran Stock Exchange Indices

Publish Year: 1399
نوع سند: مقاله ژورنالی
زبان: English
View: 347

This Paper With 17 Page And PDF Format Ready To Download

  • Certificate
  • من نویسنده این مقاله هستم

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این Paper:

شناسه ملی سند علمی:

JR_AMFA-5-3_003

تاریخ نمایه سازی: 20 تیر 1400

Abstract:

Technical analysis is one of the financial market analysis tools. Technical analysis is a method of anticipating prices and markets through studying historical market data. Based on the factors studied in this type of analysis, indicators are designed and presented to facilitate decision-making on buy and sell stress and then buy and sell action in financial markets. This research evaluates performances and returns of ۱۰ conventional technical analysis indicators based on the strategies set on the total stock exchange index, the total index of OTC market and ۸ other (non-correlated) industry indices by using Meta Trader software from ۲۰۰۸ to ۲۰۱۸. Also, the significance of the difference between the returns of the indicators is tested using the buy and hold strategy. The results show a significant difference between the returns using some of the technical analysis indicators in some indices and buy and hold strategy. The effectiveness of technical analysis strategies varies across industries and EMA and SMA with respectively ۶ and ۵ repetitions, are the best strategies and BB with just one repetition has the least repetition. The investment industry index with the most repetition is the industry in which the strategies used in this study have been able to provide an acceptable return.

Authors

Ebrahim Abbasi

Associate Professor of Finance at Alzahra University, Tehran, Iran

Mohammad Ebrahim Samavi

Department of Finance, College of Management and Economics, Financial Engineering, Science and Research Branch, Islamic Azad University

Emad Koosha

Department of Finance, Financial Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran

مراجع و منابع این Paper:

لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :
  • Abbasi, E., Akefi, H., Adib Mehr, S., Multi-objective particle group ...
  • Ahmadi, E., Jasemi, M., Monplaisir, L., Nabavi, M., Mahmoodi, A., ...
  • Bader, S., Alhashela, F. W., Almudhafa, J., Andrew, H., Can ...
  • Benington, G. A., Michael C. J.,Random Walks and Technical Theories: ...
  • Eddie, C.M., Hui, Ka Kwan, K.C., Can we still beat ...
  • Emami, A., Razmi, J., Jowlai, F., A Bootstrap Approach to ...
  • Fathi, S., Parvizi, N., Integrating oscillators with moving average laws, ...
  • Heibati, F., Rahnamay Roodposhti; f., The relationship between the two ...
  • Ito, A., Profits on technical trading rules and time-varying expected ...
  • Kristjanpoller, W., Minutolo, M., A hybrid volatility forecasting framework integrating ...
  • Ko, K.C., Value investing and technical analysis in Taiwan stock ...
  • Lin, S.K., Shin, Y. W., Pei-Ling, T., Application of hidden ...
  • Murphy, J., Technical analysis in capital market, Translated by Farahanifar, ...
  • Pourzamani, Z., Rezvani Aghdam, M., Comparison of the Effectiveness of ...
  • Raei, R., Hosseini, S. F., Comparison of buy and sell ...
  • Nazário, RTF., Silva, JL. Sobreiro, VA., Kimura, H., A literature ...
  • Nabavi, S. A., Chashemi, A. H., Investigation of MA index ...
  • Mohammadi, S., Technical analysis in Tehran stock exchange, Financial Research, ...
  • Sudheer, V., Trading through technical analysis: an empirical study from ...
  • Yu, H., Nartea, G.V., Gan, C., Yao, L.J., Predictive ability ...
  • نمایش کامل مراجع