IDEAS home Printed from https://ideas.repec.org/a/jek/journl/v5y2017i1p35-40.html
   My bibliography  Save this article

Testing EMA Indicator for the Currency Pair EUR / USD

Author

Listed:
  • Andrea Kolkova

    (University of Business and Law, Czech Republic)

Abstract

The aim of this paper is to verify the effectiveness of EMA indicator according to selected time intervals. The underlying assumption is that, on longer timescales EMA is profitable and provides more relevant signals. The second objective of this paper is to test the signals of indicators in different months. It is believed that in September and January the number of trading signals on this indicator will increase. Testing will be done on the five-minute time frame. The test will be subjected to 65,000 rate values of the EUR / USD currency pair. Effectiveness of the analysis will be evaluated on the basis of digital (binary) option. Business strategy is based on EMA crossover indicator of current exchange rate. By the contribution there were confirmed hypotheses about more profitable signals when selecting a greater timeframe breadth of moving average. There was also confirmed an increased amount of signals in September, but not in January.

Suggested Citation

  • Andrea Kolkova, 2017. "Testing EMA Indicator for the Currency Pair EUR / USD," International Journal of Entrepreneurial Knowledge, Center for International Scientific Research of VSO and VSPP, vol. 5(1), pages 35-40, June.
    • Handle: RePEc:jek:journl:v:5:y:2017:i:1:p:35-40
    as

    Download full text from publisher

    File URL: http://ijek.org/files/IJEK_1-2017v5/IJEK-1-2017,v.5_kolkova,a..pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zmeskal, Zdenek, 2010. "Generalised soft binomial American real option pricing model (fuzzy-stochastic approach)," European Journal of Operational Research, Elsevier, vol. 207(2), pages 1096-1103, December.
    2. Masatoshi Miyake & Hiroshi Inoue & Jianming Shi & Tetsuya Shimokawa, 2014. "A Binary Option Pricing Based on Fuzziness," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 13(06), pages 1211-1227.
    3. da Costa, Thiago Raymon Cruz Cacique & Nazário, Rodolfo Toríbio & Bergo, Gabriel Soares Zica & Sobreiro, Vinicius Amorim & Kimura, Herbert, 2015. "Trading System based on the use of technical analysis: A computational experiment," Journal of Behavioral and Experimental Finance, Elsevier, vol. 6(C), pages 42-55.
    Full references (including those not matched with items on IDEAS)

    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. Kolkova Andrea & Lenertova Lucie, 2016. "Binary Options As A Modern Fenomenon Of Financial Business," International Journal of Entrepreneurial Knowledge, Center for International Scientific Research of VSO and VSPP, vol. 4(1), pages 52-59, June.
    2. Gambaro, Anna Maria & Kyriakou, Ioannis & Fusai, Gianluca, 2020. "General lattice methods for arithmetic Asian options," European Journal of Operational Research, Elsevier, vol. 282(3), pages 1185-1199.
    3. Matheus José Silva de Souza & Danilo Guimarães Franco Ramos & Marina Garcia Pena & Vinicius Amorim Sobreiro & Herbert Kimura, 2018. "Examination of the profitability of technical analysis based on moving average strategies in BRICS," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 4(1), pages 1-18, December.
    4. Gorupec Natalia & Tiberius Victor & Brehmer Nataliia & Kraus Sascha, 2022. "Tackling uncertain future scenarios with real options: A review and research framework," The Irish Journal of Management, Sciendo, vol. 41(1), pages 69-88, July.
    5. Gurdal Ertek & Aysha Al-Kaabi & Aktham Issa Maghyereh, 2022. "Analytical Modeling and Empirical Analysis of Binary Options Strategies," Future Internet, MDPI, vol. 14(7), pages 1-23, July.
    6. C. Veeramani & R. Venugopal & S. Muruganandan, 2023. "An Exploration of the Fuzzy Inference System for the Daily Trading Decision and Its Performance Analysis Based on Fuzzy MCDM Methods," Computational Economics, Springer;Society for Computational Economics, vol. 62(3), pages 1313-1340, October.
    7. Wei-Guo Zhang & Zhe Li & Yong-Jun Liu & Yue Zhang, 2021. "Pricing European Option Under Fuzzy Mixed Fractional Brownian Motion Model with Jumps," Computational Economics, Springer;Society for Computational Economics, vol. 58(2), pages 483-515, August.
    8. Trigeorgis, Lenos & Tsekrekos, Andrianos E., 2018. "Real Options in Operations Research: A Review," European Journal of Operational Research, Elsevier, vol. 270(1), pages 1-24.
    9. Konstandinos Chourmouziadis & Dimitra K. Chourmouziadou & Prodromos D. Chatzoglou, 2021. "Embedding Four Medium-Term Technical Indicators to an Intelligent Stock Trading Fuzzy System for Predicting: A Portfolio Management Approach," Computational Economics, Springer;Society for Computational Economics, vol. 57(4), pages 1183-1216, April.
    10. Marek Durica & Danuse Guttenova & Ludovit Pinda & Lucia Svabova, 2018. "Sustainable Value of Investment in Real Estate: Real Options Approach," Sustainability, MDPI, vol. 10(12), pages 1-18, December.
    11. Kumar, Satish & Rao, Sandeep & Goyal, Kirti & Goyal, Nisha, 2022. "Journal of Behavioral and Experimental Finance: A bibliometric overview," Journal of Behavioral and Experimental Finance, Elsevier, vol. 34(C).
    12. Farias Nazário, Rodolfo Toríbio & e Silva, Jéssica Lima & Sobreiro, Vinicius Amorim & Kimura, Herbert, 2017. "A literature review of technical analysis on stock markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 66(C), pages 115-126.

    More about this item

    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:jek:journl:v:5:y:2017:i:1:p:35-40. 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: Aleksandr Kljucnikov (email available below). General contact details of provider: https://edirc.repec.org/data/vsposcz.html .

    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.