IDEAS home Printed from https://ideas.repec.org/a/eco/journ1/2017-02-30.html
   My bibliography  Save this article

Sutte Indicator: A Technical Indicator in Stock Market

Author

Listed:
  • Ansari Saleh Ahmar

    (Department of Statistics, Universitas Negeri Makassar, Indonesia)

Abstract

This study aims at development of the technical indicator in Stock Market as Sutte indicator. Sutte indicator in stock trading that will assist in the investment decision-making process which is to buy or sell stocks. This study took data from PT. Astra Agro Lestari Tbk. Which is listed in the Indonesia stock exchange in the period of 5 April 2001 - 20 September 2016. To find out the performance of Sutte indicator, two other technical analysis are used as a comparison, they are simple moving average (SMA) and moving average convergence/divergence (MACD). The mean of square error (MSE), mean absolute deviation (MAD), and mean absolute percentage error (MAPE) are used to find out a comparison of the level of reliability in predicting the stock data. The results of this study are Sutte indicator could be used as a reference in predicting stock movements. Sutte indicator have a better level of reliability compared to two other indicators method SMA and MACD based on the MSE, MAD and MAPE.

Suggested Citation

  • Ansari Saleh Ahmar, 2017. "Sutte Indicator: A Technical Indicator in Stock Market," International Journal of Economics and Financial Issues, Econjournals, vol. 7(2), pages 223-226.
  • Handle: RePEc:eco:journ1:2017-02-30
    as

    Download full text from publisher

    File URL: http://www.econjournals.com/index.php/ijefi/article/download/3323/pdf
    Download Restriction: no

    File URL: http://www.econjournals.com/index.php/ijefi/article/view/3323/pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Elaine Y. L. Loh, 2007. "An alternative test for weak form efficiency based on technical analysis," Applied Financial Economics, Taylor & Francis Journals, vol. 17(12), pages 1003-1012.
    2. Mengoli, Stefano, 2004. "On the source of contrarian and momentum strategies in the Italian equity market," International Review of Financial Analysis, Elsevier, vol. 13(3), pages 301-331.
    3. Christopher J. Neely & Paul A. Weller, 2011. "Technical analysis in the foreign exchange market," Working Papers 2011-001, Federal Reserve Bank of St. Louis.
    4. Wei Li & Steven Shuye Wang, 2007. "Ownership Restriction, Information Diffusion Speed, and the Performance of Technical Trading Rules in Chinese Domestic and Foreign Shares Markets," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 10(04), pages 585-617.
    5. Zhu, Yingzi & Zhou, Guofu, 2009. "Technical analysis: An asset allocation perspective on the use of moving averages," Journal of Financial Economics, Elsevier, vol. 92(3), pages 519-544, June.
    6. Taylor, Mark P. & Allen, Helen, 1992. "The use of technical analysis in the foreign exchange market," Journal of International Money and Finance, Elsevier, vol. 11(3), pages 304-314, June.
    7. Michael D. McKenzie, 2007. "Technical Trading Rules in Emerging Markets and the 1997 Asian Currency Crises," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 43(4), pages 46-73, August.
    8. Hung-Wei Lai & Cheng-Wei Chen & Chin-Sheng Huang, 2010. "Technical Analysis, Investment Psychology, and Liquidity Provision: Evidence from the Taiwan Stock Market," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 46(5), pages 18-38, September.
    9. Han, Yufeng & Yang, Ke & Zhou, Guofu, 2013. "A New Anomaly: The Cross-Sectional Profitability of Technical Analysis," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 48(5), pages 1433-1461, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Rommy Pramudya & Sakina Ichsani, 2020. "Efficiency of Technical Analysis for the Stock Trading," International Journal of Finance & Banking Studies, Center for the Strategic Studies in Business and Finance, vol. 9(1), pages 58-67, January.
    2. Ansari Saleh Ahmar, 2019. "Sutte Indicator: an approach to predict the direction of stock market movements," Papers 1903.11642, arXiv.org.
    3. Dong-Her Shih & To Thi Hien & Ly Sy Phu Nguyen & Ting-Wei Wu & Yen-Ting Lai, 2022. "A Modified γ -Sutte Indicator for Air Quality Index Prediction," Mathematics, MDPI, vol. 10(17), pages 1-15, August.
    4. Mohammed Bouasabah & Oshamah Ibrahim Khalaf, 2023. "A Technical Indicator for a Short-term Trading Decision in the NASDAQ Market," Advances in Decision Sciences, Asia University, Taiwan, vol. 27(3), pages 1-13, September.
    5. Rahman, Abdul & Ahmar, Ansari Saleh, 2017. "Forecasting of Primary Energy Consumption Data in the United State: a comparison between ARIMA and Holter Winters Models," INA-Rxiv snxrq, Center for Open Science.
    6. Ahmar, Ansari Saleh, 2017. "α-Sutte Indicator: Suatu Pendekan Baru dalam Peramalan Data," OSF Preprints rknsv, Center for Open Science.
    7. Ansari Saleh Ahmar & Abdul Rahman & Andi Nurani Mangkawani Arifin & Alfatih Abqary Ahmar, 2017. "Predicting movement of stock of “Y” using Sutte Indicator," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1347123-134, January.
    8. Ahmar, Ansari Saleh & Rahman, Abdul & Mulbar, Usman, 2017. "Implementation of α-Sutte Indicator to Forecasting Consumer Price Index in Turkey," INA-Rxiv s8jzu, Center for Open Science.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ansari Saleh Ahmar & Abdul Rahman & Andi Nurani Mangkawani Arifin & Alfatih Abqary Ahmar, 2017. "Predicting movement of stock of “Y” using Sutte Indicator," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1347123-134, January.
    2. Ansari Saleh Ahmar, 2019. "Sutte Indicator: an approach to predict the direction of stock market movements," Papers 1903.11642, arXiv.org.
    3. Guofu Zhou, 2018. "Measuring Investor Sentiment," Annual Review of Financial Economics, Annual Reviews, vol. 10(1), pages 239-259, November.
    4. Mohammed Bouasabah & Oshamah Ibrahim Khalaf, 2023. "A Technical Indicator for a Short-term Trading Decision in the NASDAQ Market," Advances in Decision Sciences, Asia University, Taiwan, vol. 27(3), pages 1-13, September.
    5. Wen, Danyan & Liu, Li & Wang, Yudong & Zhang, Yaojie, 2022. "Forecasting crude oil market returns: Enhanced moving average technical indicators," Resources Policy, Elsevier, vol. 76(C).
    6. Svitlana Galeshchuk, 2017. "Technological bias at the exchange rate market," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 24(2-3), pages 80-86, April.
    7. Ben R. Marshall & Nhut H. Nguyen & Nuttawat Visaltanachoti, 2017. "Time series momentum and moving average trading rules," Quantitative Finance, Taylor & Francis Journals, vol. 17(3), pages 405-421, March.
    8. Sermpinis, Georgios & Hassanniakalager, Arman & Stasinakis, Charalampos & Psaradellis, Ioannis, 2021. "Technical analysis profitability and Persistence: A discrete false discovery approach on MSCI indices," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 73(C).
    9. Dan Anghel, 2013. "How Reliable is the Moving Average Crossover Rule for an Investor on the Romanian Stock Market?," The Review of Finance and Banking, Academia de Studii Economice din Bucuresti, Romania / Facultatea de Finante, Asigurari, Banci si Burse de Valori / Catedra de Finante, vol. 5(2), pages 089-115, December.
    10. Taylor, Mark & Hsu, Po-Hsuan, 2014. "Forty Years, Thirty Currencies and 21,000 Trading Rules: A Large-scale, Data-Snooping Robust Analysis of Technical Trading in t," CEPR Discussion Papers 10018, C.E.P.R. Discussion Papers.
    11. Demir Bektić & Tobias Regele, 2018. "Exploiting uncertainty with market timing in corporate bond markets," Journal of Asset Management, Palgrave Macmillan, vol. 19(2), pages 79-92, March.
    12. Han, Yufeng & Zhou, Guofu & Zhu, Yingzi, 2016. "A trend factor: Any economic gains from using information over investment horizons?," Journal of Financial Economics, Elsevier, vol. 122(2), pages 352-375.
    13. Lukas Menkhoff & Mark P. Taylor, 2007. "The Obstinate Passion of Foreign Exchange Professionals: Technical Analysis," Journal of Economic Literature, American Economic Association, vol. 45(4), pages 936-972, December.
    14. Lin, Qi, 2018. "Technical analysis and stock return predictability: An aligned approach," Journal of Financial Markets, Elsevier, vol. 38(C), pages 103-123.
    15. Ko, Kuan-Cheng & Lin, Shinn-Juh & Su, Hsiang-Ju & Chang, Hsing-Hua, 2014. "Value investing and technical analysis in Taiwan stock market," Pacific-Basin Finance Journal, Elsevier, vol. 26(C), pages 14-36.
    16. Yen-Sen Ni & Jen-Tsai Lee & Yi-Ching Liao, 2013. "Do variable length moving average trading rules matter during a financial crisis period?," Applied Economics Letters, Taylor & Francis Journals, vol. 20(2), pages 135-141, February.
    17. Souropanis, Ioannis & Vivian, Andrew, 2023. "Forecasting realized volatility with wavelet decomposition," Journal of Empirical Finance, Elsevier, vol. 74(C).
    18. Andrew Detzel & Hong Liu & Jack Strauss & Guofu Zhou & Yingzi Zhu, 2021. "Learning and predictability via technical analysis: Evidence from bitcoin and stocks with hard‐to‐value fundamentals," Financial Management, Financial Management Association International, vol. 50(1), pages 107-137, March.
    19. Chiarella, Carl & He, Xue-Zhong & Hommes, Cars, 2006. "A dynamic analysis of moving average rules," Journal of Economic Dynamics and Control, Elsevier, vol. 30(9-10), pages 1729-1753.
    20. Walid Omrane & Hervé Oppens, 2006. "The performance analysis of chart patterns: Monte Carlo simulation and evidence from the euro/dollar foreign exchange market," Empirical Economics, Springer, vol. 30(4), pages 947-971, January.

    More about this item

    Keywords

    Stock Market; Sutte Indicator; Technical Analysis;
    All these keywords.

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • D53 - Microeconomics - - General Equilibrium and Disequilibrium - - - Financial Markets

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eco:journ1:2017-02-30. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ilhan Ozturk (email available below). General contact details of provider: http://www.econjournals.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.