IDEAS home Printed from https://ideas.repec.org/a/arp/ijefrr/2018p159-164.html
   My bibliography  Save this article

Do Predictive Power of Fibonacci Retracements Help the Investor to Predict Future? A Study of Pakistan Stock Exchange

Author

Listed:
  • Rana Zafarullah Shaker

    (M. Phil Scholar, School of Accounting and Finance, Faculty of Management Studies, University of Central Punjab, Lahore, Pakistan)

  • Muzaffar Asad

    (Assistant Professor, School of Accounting and Finance, Faculty of Management Studies, University of Central Punjab, Lahore, Pakistan)

  • Nabeeha Zulfiqar

    (M. Phil Scholar, School of Accounting and Finance, Faculty of Management Studies, University of Central Punjab, Lahore, Pakistan)

Abstract

There are number of ways like Technical Analysis, Fundamental Analysis and The Efficient Market Hypothesis that helps to know the behaviour of investor which helps to predict future. In this study author used Fibonacci numbers/series analysis which consider for forecasting future stock prices trends. For the purpose of this study four listed companies are selected at random by convenience sampling from Cement Sector for the period of 1st quarter of 2017. Closing prices of open days of market are taken from Karachi Stocks and graphs are made. This study concluded that in four companies of cement sector, there were total 63 support levels out of which 17 (27%) and total 66 resistance level from which 24 (36%) were followed Fibonacci retracements. So the study findings accept the hypothesis that the trend reversals in Cement sector listed in PSX follow Fibonacci retracements to some extent. Analysis of this study showed that there is at least one strong support and one strong resistance in every company and some small resistant and support levels.

Suggested Citation

  • Rana Zafarullah Shaker & Muzaffar Asad & Nabeeha Zulfiqar, 2018. "Do Predictive Power of Fibonacci Retracements Help the Investor to Predict Future? A Study of Pakistan Stock Exchange," International Journal of Economics and Financial Research, Academic Research Publishing Group, vol. 4(6), pages 159-164, 06-2018.
    • Handle: RePEc:arp:ijefrr:2018:p:159-164
    as

    Download full text from publisher

    File URL: https://www.arpgweb.com/pdf-files/ijefr4(6)159-164.pdf
    Download Restriction: no
    File URL: https://www.arpgweb.com/?ic=journal&journal=5&month=06-2018&issue=6&volume=4
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Neely, C. J. & Weller, P. A., 2003. "Intraday technical trading in the foreign exchange market," Journal of International Money and Finance, Elsevier, vol. 22(2), pages 223-237, April.
    2. Kenneth A. Kavajecz, 2004. "Technical Analysis and Liquidity Provision," The Review of Financial Studies, Society for Financial Studies, vol. 17(4), pages 1043-1071.
    3. Abarbanell, JS & Bushee, BJ, 1997. "Fundamental analysis, future earnings, and stock prices," Journal of Accounting Research, Wiley Blackwell, vol. 35(1), pages 1-24.
    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. 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.
    2. 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.
    3. Marshall, Ben R. & Cahan, Rochester H. & Cahan, Jared M., 2008. "Does intraday technical analysis in the U.S. equity market have value?," Journal of Empirical Finance, Elsevier, vol. 15(2), pages 199-210, March.
    4. Cheol‐Ho Park & Scott H. Irwin, 2007. "What Do We Know About The Profitability Of Technical Analysis?," Journal of Economic Surveys, Wiley Blackwell, vol. 21(4), pages 786-826, September.
    5. Hsu, Po-Hsuan & Taylor, Mark P. & Wang, Zigan, 2016. "Technical trading: Is it still beating the foreign exchange market?," Journal of International Economics, Elsevier, vol. 102(C), pages 188-208.
    6. Bradley Blaylock & Bradley P. Lawson & Michael A. Mayberry, 2020. "Taxable income, future profitability, and stock returns," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 47(7-8), pages 858-881, July.
    7. Ellul, Andrew & Holden, Craig W. & Jain, Pankaj & Jennings, Robert, 2007. "Order dynamics: Recent evidence from the NYSE," Journal of Empirical Finance, Elsevier, vol. 14(5), pages 636-661, December.
    8. Jessie Sun, 2019. "A Stock Selection Method Based on Earning Yield Forecast Using Sequence Prediction Models," Papers 1905.04842, arXiv.org.
    9. Bajgrowicz, Pierre & Scaillet, Olivier, 2012. "Technical trading revisited: False discoveries, persistence tests, and transaction costs," Journal of Financial Economics, Elsevier, vol. 106(3), pages 473-491.
    10. Ghada A. Altarawneh & Ahmad B. Hassanat & Ahmad S. Tarawneh & Ahmad Abadleh & Malek Alrashidi & Mansoor Alghamdi, 2022. "Stock Price Forecasting for Jordan Insurance Companies Amid the COVID-19 Pandemic Utilizing Off-the-Shelf Technical Analysis Methods," Economies, MDPI, vol. 10(2), pages 1-18, February.
    11. Mauri, Alfredo J. & Lin, Jing & Neiva De Figueiredo, João, 2013. "The influence of strategic patterns of internationalization on the accuracy and bias of earnings forecasts by financial analysts," International Business Review, Elsevier, vol. 22(4), pages 725-735.
    12. Gikas Hardouvelis & George Papanastasopoulos & Dimitrios D. Thomakos & Tao Wang, 2007. "Accruals, Net Stock Issues and Value-Glamour Anomalies: New Evidence on their Relation," Working Paper series 47_07, Rimini Centre for Economic Analysis.
    13. 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.
    14. Mazza, Paolo, 2015. "Price dynamics and market liquidity: An intraday event study on Euronext," The Quarterly Review of Economics and Finance, Elsevier, vol. 56(C), pages 139-153.
    15. Gradojevic, Nikola & Lento, Camillo, 2015. "Multiscale analysis of foreign exchange order flows and technical trading profitability," Economic Modelling, Elsevier, vol. 47(C), pages 156-165.
    16. Hirshleifer, David & Kewei Hou & Teoh, Siew Hong & Yinglei Zhang, 2004. "Do investors overvalue firms with bloated balance sheets?," Journal of Accounting and Economics, Elsevier, vol. 38(1), pages 297-331, December.
    17. Dafydd Mali & Hyoung‐joo Lim, 2021. "Do Relatively More Efficient Firms Demand Additional Audit Effort (Hours)?," Australian Accounting Review, CPA Australia, vol. 31(2), pages 108-127, June.
    18. Junmao Chiu & Huimin Chung & Keng-Yu Ho, 2014. "Fear Sentiment, Liquidity, and Trading Behavior: Evidence from the Index ETF Market," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 17(03), pages 1-25.
    19. Bartram, Söhnke M. & Grinblatt, Mark, 2018. "Agnostic fundamental analysis works," Journal of Financial Economics, Elsevier, vol. 128(1), pages 125-147.
    20. Chi Chen & Li Zhao & Wei Cao & Jiang Bian & Chunxiao Xing, 2020. "Trimming the Sail: A Second-order Learning Paradigm for Stock Prediction," Papers 2002.06878, arXiv.org.

    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:arp:ijefrr:2018:p:159-164. 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: Managing Editor (email available below). General contact details of provider: http://www.arpgweb.com/?ic=journal&journal=5&info=aims .

    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.