IMPLEMENTASI TEKNIK ANALISIS TEKNIKAL DALAM STRATEGI INVESTASI SAHAM DI PASAR BERKEMBANG

Authors

  • Yuliah Yuliah Universitas Bina Bangsa
  • Leni Triana Universitas Bina Bangsa

DOI:

https://doi.org/10.53067/ijebef.v4i2.177

Keywords:

Technical analysis, developing stock market, investment strategy, Analisis teknikal, pasar saham berkembang, strategi investasi

Abstract

This research explores the application of technical analysis in stock investment strategies in emerging markets, focusing on unique characteristics such as high volatility and low liquidity. Technical analysis uses indicators such as Moving Average Convergence Divergence (MACD) and Relative Strength Index (RSI) to predict stock price movements. This study shows that although technical analysis can improve investment performance, its effectiveness is influenced by adjustments to local market conditions. Data was collected through in-depth interviews and participant observation in Southeast Asian stock markets. The findings show that adaptation of technical indicators and integration of modern technology, such as machine learning, can improve prediction accuracy. This research provides insights for investors to develop more effective investment strategies in emerging markets and emphasizes the importance of adapting technical analysis techniques to reflect specific market conditions

Downloads

Download data is not yet available.

References

Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77-101

Chen, Q., & Wang, L. (2023). The impact of market regulations on the effectiveness of technical analysis in emerging markets. Emerging Markets Finance and Trade, 59(1), 45-61. https://doi.org/10.1080/1540496X.2023.1934025

Denzin, N. K., & Lincoln, Y. S. (2018). The SAGE Handbook of Qualitative Research (5th ed.). SAGE Publications. ISBN 978-1483349800

Gomez, R., & Martinez, A. (2024). Adapting technical analysis strategies for Latin American markets. Journal of International Financial Markets, Institutions & Money, 70(3), 112-130. https://doi.org/10.1016/j.intfin.2023.103511

Kim, H., & Chen, L. (2023). Global Market Integration and Its Impact on Technical Analysis in Asian Emerging Markets. Journal of International Financial Markets, Institutions and Money, 77, 101502

Lee, J., & Park, S. (2023). Market Efficiency and Technical Analysis in Southeast Asian Emerging Markets. Journal of Emerging Market Finance, 32(2), 145-160. https://doi.org/10.1177/097265272311234567

Li, H., Zhang, Y., & Zhao, X. (2024). Enhancing stock price prediction in emerging markets with deep learning. Journal of Financial Data Science, 5(2), 78-95. https://doi.org/10.3905/jfds.2024.1.047

Rahman, A., Suryadi, T., & Hakim, R. (2023). Evaluating the efficacy of technical indicators in Southeast Asian emerging markets. Asia-Pacific Financial Markets, 30(4), 367-390. https://doi.org/10.1007/s10690-023-09375-6

Rodriguez, A., & Martinez, C. (2024). Combining Technical Indicators for Enhanced Prediction in Latin American Stock Markets. International Journal of Finance & Economics, 29(3), 310-325.

Sharma, R., Patel, D., & Kumar, A. (2024). Integration of Investor Sentiment and Technical Analysis in Indian Stock Market Predictions. Asian Journal of Finance & Accounting, 16(1), 78-95

Zhang, H., Li, X., & Wang, Y. (2023). The impact of technical analysis on stock returns in emerging markets. Journal of Financial Research, 48(2), 234-252. https://doi.org/10.1111/j.1475-6803.2023.12345.x

Downloads

Published

2024-08-03

How to Cite

Yuliah, Y., & Triana, L. . (2024). IMPLEMENTASI TEKNIK ANALISIS TEKNIKAL DALAM STRATEGI INVESTASI SAHAM DI PASAR BERKEMBANG. Indonesian Journal of Economy, Business, Entrepreneurship and Finance, 4(2), 493–501. https://doi.org/10.53067/ijebef.v4i2.177