IDEAS home Printed from https://ideas.repec.org/a/spt/apfiba/v12y2022i6f12_6_9.html
   My bibliography  Save this article

Pharmaceutical and Telecommunications Sector Weak Form Market Efficiency Study in Indonesian Capital Market 2017-2020

Author

Listed:
  • Cheng-Wen Lee
  • Taufiqquddin Ande

Abstract

This study aims to examine the efficiency of the weak form market in the pharmaceutical and telecommunications sectors in the Indonesian capital market during the 2017-2020 period (1 January 2017 – 30 December 2020) and the 2020 Covid-19 period (1 January 2020 – 30 December 2020). The data used in this study is daily stock closing prices. Jarque-Bera normality test, Ljung Box autocorrelation test to assess serial dependencies, run test, and Augmented Dickey Fuller (ADF) to test the random walk hypothesis were among the statistical tests utilized. The pharmaceutical and telecommunications sectors were in poor shape during the research period, according to the findings. This research offers guidance to potential funders as well as future researchers.  JEL classification numbers: G14, G19.

Suggested Citation

  • Cheng-Wen Lee & Taufiqquddin Ande, 2022. "Pharmaceutical and Telecommunications Sector Weak Form Market Efficiency Study in Indonesian Capital Market 2017-2020," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 12(6), pages 1-9.
  • Handle: RePEc:spt:apfiba:v:12:y:2022:i:6:f:12_6_9
    as

    Download full text from publisher

    File URL: http://www.scienpress.com/Upload/JAFB%2fVol%2012_6_9.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Priyanka Jain & Vishal Vyas & Ankur Roy, 2013. "A study on weak form of market efficiency during the period of global financial crisis in the form of random walk on Indian capital market," Journal of Advances in Management Research, Emerald Group Publishing Limited, vol. 10(1), pages 122-138, May.
    2. Paul Ndubuisi & Kingsley Okere, 2018. "Stock Returns Predictability and the Adaptive Market Hypothesis in Emerging Markets: Evidence from the Nigerian Capital Market. (1986-2016)," Asian Journal of Economic Modelling, Asian Economic and Social Society, vol. 6(2), pages 147-156, June.
    3. Priyanka Jain & Vishal Vyas & Ankur Roy, 2013. "A study on weak form of market efficiency during the period of global financial crisis in the form of random walk on Indian capital market," Journal of Advances in Management Research, Emerald Group Publishing Limited, vol. 10(1), pages 122-138, May.
    4. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    5. Paul Ndubuisi & Kingsley Okere, 2018. "Stock Returns Predictability and the Adaptive Market Hypothesis in Emerging Markets: Evidence from the Nigerian Capital Market. (1986-2016)," Asian Journal of Economic Modelling, Asian Economic and Social Society, vol. 6(2), pages 147-156.
    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. Awaz Mohamed Saleem & Hazheen Mardan Mustafa & Zeravan Abdulmuhsen Asaad & Amjad Saber Al-Delawi, 2023. "Regional Stock Market Efficiency at Weak Form after the Covid-19 Vaccination Approval," International Journal of Economics and Financial Issues, Econjournals, vol. 13(6), pages 63-70, November.

    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. Mai Ahmed Abdelzaher, 2021. "Study the Efficiency Hypothesis in the Egyptian Stock Market," International Journal of Economics and Financial Issues, Econjournals, vol. 11(1), pages 18-25.
    2. Narayan Parab & Ramashanti Naik & Y. V. Reddy, 2020. "The Impact of Economic Events on Stock Market Returns: Evidence from India," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 10(11), pages 1232-1247, November.
    3. Charles O. Manasseh & Nnah M. Iroha & Kingsley I. Okere & Ifeoma C. Nwakoby & Ogochukwu C. Okanya & Nnenna Nwonye & Onuselogu Odidi & Oliver I. Inyiama, 2022. "Application of Markov chain to share price movement in Nigeria (1985–2019)," Future Business Journal, Springer, vol. 8(1), pages 1-14, December.
    4. David M. Ritzwoller & Joseph P. Romano, 2019. "Uncertainty in the Hot Hand Fallacy: Detecting Streaky Alternatives to Random Bernoulli Sequences," Papers 1908.01406, arXiv.org, revised Apr 2021.
    5. Shazia Ghani, 2011. "A re-visit to Minsky after 2007 financial meltdown," Post-Print halshs-01027435, HAL.
    6. Christiane Goodfellow & Dirk Schiereck & Steffen Wippler, 2013. "Are behavioural finance equity funds a superior investment? A note on fund performance and market efficiency," Journal of Asset Management, Palgrave Macmillan, vol. 14(2), pages 111-119, April.
    7. Cagli, Efe Caglar & Taskin, Dilvin & Evrim Mandaci, Pınar, 2019. "The short- and long-run efficiency of energy, precious metals, and base metals markets: Evidence from the exponential smooth transition autoregressive models," Energy Economics, Elsevier, vol. 84(C).
    8. Andrew Weinbach & Rodney J. Paul, 2009. "National television coverage and the behavioural bias of bettors: the American college football totals market," International Gambling Studies, Taylor & Francis Journals, vol. 9(1), pages 55-66, April.
    9. Oxelheim, Lars & Rafferty, Michael, 2005. "On the static efficiency of secondary bond markets," Journal of Multinational Financial Management, Elsevier, vol. 15(2), pages 117-135, April.
    10. Shi, Huai-Long & Zhou, Wei-Xing, 2022. "Factor volatility spillover and its implications on factor premia," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    11. Nuruddeen Usman & Kodili Nwanneka & Nduka, 2023. "Announcement Effect of COVID-19 on Cryptocurrencies," Asian Economics Letters, Asia-Pacific Applied Economics Association, vol. 3(3), pages 1-4.
    12. Robert C. Merton, 2006. "Paul Samuelson and Financial Economics," The American Economist, Sage Publications, vol. 50(2), pages 9-31, October.
    13. Alagidede, Paul & Panagiotidis, Theodore, 2009. "Modelling stock returns in Africa's emerging equity markets," International Review of Financial Analysis, Elsevier, vol. 18(1-2), pages 1-11, March.
    14. Camille Baulant & Nivine Albouz, 2021. "Has financial globalization since 1990 reduced income inequality: the role of rating announcements on the volatility and the returns of the Brazilian Financial Market [Les annonces de notation souv," Working Papers hal-03258994, HAL.
    15. Carlo Rosa & Giovanni Verga, 2006. "The Impact of Central Bank Announcements on Asset Prices in Real Time: Testing the Efficiency of the Euribor Futures Market," CEP Discussion Papers dp0764, Centre for Economic Performance, LSE.
    16. Choi, Gahyun & Park, Kwangyeol & Yi, Eojin & Ahn, Kwangwon, 2023. "Price fairness: Clean energy stocks and the overall market," Chaos, Solitons & Fractals, Elsevier, vol. 168(C).
    17. Sellin, Peter, 1998. "Monetary Policy and the Stock Market: Theory and Empirical Evidence," Working Paper Series 72, Sveriges Riksbank (Central Bank of Sweden).
    18. Thomas Delcey, 2019. "Samuelson vs Fama on the Efficient Market Hypothesis: The Point of View of Expertise [Samuelson vs Fama sur l’efficience informationnelle des marchés financiers : le point de vue de l’expertise]," Post-Print hal-01618347, HAL.
    19. Spira, Robin, 2024. "How does ESG rating disagreement influence analyst forecast dispersion?," Junior Management Science (JUMS), Junior Management Science e. V., vol. 9(3), pages 1769-1804.
    20. Dhanya Jothimani & Ravi Shankar & Surendra S. Yadav, 2016. "Discrete Wavelet Transform-Based Prediction of Stock Index: A Study on National Stock Exchange Fifty Index," Papers 1605.07278, arXiv.org.

    More about this item

    Keywords

    Efficient Market Hypothesis; Random Walk Hypothesis; Covid-19.;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G19 - Financial Economics - - General Financial Markets - - - Other

    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:spt:apfiba:v:12:y:2022:i:6:f:12_6_9. 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: Eleftherios Spyromitros-Xioufis (email available below). General contact details of provider: http://www.scienpress.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.