Pengaruh Pola MACD Histogram IHSG Terhadap Pola MACD Histogram Perusahaan Dari Daftar Indeks LQ45 (Periode Februari s.d Juli 2015) Bursa Efek Jakarta [Effect of MACD Histogram IHSG Patterns to Patterns of Companies Listed on the Jakarta Stock Exchange LQ-45 (Period February till July 2015)]

Heri Fatkhurrokhim, Didi Sundiman

Abstract


The purpose of this study is to determine the effect of MACDIHSG pattern to the MACD Company pattern in the L045 index on the period of February until July 2015 at the Indonesia Stock Exchange. This study also aims to facilitate investors to make investment decisions in the stock market. This study provides benefits to capital market investors, especially for stock investors in the Indonesia Stock Exchange as a mean of enhancing their insights in the development of technical analysis on investing. For the general public as well in order to know that investing in the stock market differs from gambling since there are analyzes that easy and can be applied very simply. In addition, this research aims to enhance the reader's desire to invest in the stock market. The samples were the closing data price of IHSG and shares ofLQ45 in the period of February until July 2015 in the Indonesia Stock Exchange. Based on the hypothesis testing, it can be explained that the MACD Histogram IHSG has a significant effect on 38 issuers listed in LQ45. As for the difference between the MACD Histogram effect against one company with another company that is very small. From the 38 stocks that rank on the top 3 company, the Summarecon Agung Tbk is on the top 1, that amounted to 98.3348%, then Alam Sutera Reality Lestari Tbk amounted to 98.2376%, and Adhi Katya (Persero) Tbk amounted to 98.1320%. The third of these shares have MACD Histogram movement that approaching the MACD Histogram IHSG.

Keywords


stocks; Indonesia Stock Exchange (IDX); LQ45 Index; MACD; IHSG; moving average convergence divergence; IDX Composite; Jakarta Stock Exchange



DOI: http://dx.doi.org/10.19166/derema.v10i2.167

Full Text

PDF

References


Abbad, Jumah, Bashar, F., & Muneer, A. (2014). Advantages of Using Technical Analysis to Predict Future Prices on the Amman Stock Exchange. International Journal of Business and Management, 9(2), 1833-3850. http://dx.doi.org/10.5539/ijbm.v9n2p1

Aleksander, M., Hengky, & Winpec S. (2011). Analisa Teknikal Saham Menggunakan Chartnexus. Jakarta: Elex Media Komputindo.

Aleksandra, B.M. (2006). Stock Market Prediction using Technical Analysis. Economic Annals 2006, 51(170), 125-146. http://dx.doi.org/10.2298/EKA0670125B

BEI. Buku Sekolah Pasar Modal Bursa Efek Indonesia, Level l. Bursa Efek Indonesia.

Chang, Terence L.C., Wing, K.N., & Venus, K.S.L. (2014). Revisiting the Performance of MACD and RSI Oscillators. J. Risk Financial Manag, 7(1), 1-12. http://dx.doi.org/10.3390/jrfm7010001

Chavarnakul, Thira, & David, E. (2008). Intelligent Technical Analysis Based Equivolume Charting for Stock Trading using Neural Networks. Expert Systems with Applications, 34(2), 1004—1017. http://dx.doi.org/10.1016/j.eswa.2006.10.028

Creswell, John W. (2012). Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research, 4th ed. Boston: Pearson Education, Inc.

Darmawan, Ferdie. (2011). Investor Sibuk: Solusi Investasi di Bursa Saham Indonesia bagi Orang Sibuk, Raih Profit Konsisten di Bursa Saham hanya Dengan 10 Menit Setiap Minggunya, 3rd. Jakarta: Gramedia Pustaka Utama.

Eric, D., Andjelic, G., Redzepagic, S. (2009). Application of MACD and R VI indicators as functions of investment strategy optimization on the financial market. Proceedings of Rijeka Faculty of Economics: Journal of Economics and Business, 27(1), 171-196.

Gorgulho, Antönio, Rui N., Nuno H. (2011). Applying a GA Kernel on Optimizing Technical Analysis Rules for Stock Picking and Portfolio Composition. Expert Systems with Applications, 38(11), 14072–14085. http://dx.doi.org/10.1016/j.eswa.2011.04.216

Ijegwa, Acheme, D., Vincent, O.R., Folorunso, O., & Olusola, O.I. A Predictive Stock Market Technical Analysis Using Fuzzy Logic. Computer and Information Science, 7(3), 1913-8989. http://dx.doi.org/10.5539/cis.v7n3p1

Kurniawan, Deny. (2008). Analisis regresi. Vienna: R Development Core Team.

Raditya, T.M.A. (2013). Penentuan Tren Arah Pergerakan Harga Saham dengan

Raei, Reza, Shapour, M., & Mohammad, M.T. (2011). An Intelligent Technical Analysis using Neural Network. Management Science Letters, 1(3), 355-362. http://dx.doi.org/10.5267/j.msl.2011.02.002

Santoso, Singgih. (2012). Aplikasi SPSS Pada Statistik Parametrik. Jakarta: Elex Media Komputindo.

Wahyu, W., Wing. (2011). Analisis Ekonometrika dan Statistika dengan Eviews, edisi 3. Yogyakarta: UPP STIM YKPN.


Cited by

  • There are currently no citations to this article.




Copyright (c) 2015 Heri Fatkhurrokhim, Didi Sundiman

License URL: https://creativecommons.org/licenses/by/4.0/


favicon Department of Management | Business School | Universitas Pelita Harapan | Indonesia | +62 21 546 0901 |  jurnal.derema@uph.edu