IDEAS home Printed from https://ideas.repec.org/a/bcp/journl/v7y2023i10p2414-2421.html
   My bibliography  Save this article

Nexus of Cryptocurrency and Output gap in Nigeria: A Decision Tree Regression in Machine Learning using Python Programming Language

Author

Listed:
  • Umeokwobi Richard

    (Monetary Policy Department, Central Bank of Nigeria)

  • Ocheni Victor

    (Monetary Policy Department, Central Bank of Nigeria)

Abstract

This study examines how the output gap would react to daily bitcoin series, this is achieved through the use of decision tree regression in machine learning which is estimated in a Python programming language. The gap in literature is in three strands which are basically empirical literature, variable, and methodology. High-powered (daily) data were used in the analysis covering the scope of 2010 to 2022, where Bitcoin was used to proxy cryptocurrency. The Garch model was used to control the volatility in the bitcoin series before carrying out the decision tree regression analysis. The work of Jia et al (2023) was used to lay the assumption of Bitcoin and the prediction of output gap in Nigeria. The result of our analysis shows that bitcoin is predicted to reduce the output gap in Nigeria, which was linked to the fact that macro variables such as inflation can be controlled based on the result. Policy implications from the result were used to conclude the paper.

Suggested Citation

  • Umeokwobi Richard & Ocheni Victor, 2023. "Nexus of Cryptocurrency and Output gap in Nigeria: A Decision Tree Regression in Machine Learning using Python Programming Language," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 7(10), pages 2414-2421, October.
    • Handle: RePEc:bcp:journl:v:7:y:2023:i:10:p:2414-2421
    as

    Download full text from publisher

    File URL: https://www.rsisinternational.org/journals/ijriss/Digital-Library/volume-7-issue-10/2414-2421.pdf
    Download Restriction: no
    File URL: https://www.rsisinternational.org/journals/ijriss/articles/nexus-of-cryptocurrency-and-outputgap-in-nigeria-a-decision-tree-regression-in-machine-learning-using-python-programming-language/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jia, Zhenzhen & Tiwari, Sunil & Zhou, Jianhua & Farooq, Muhammad Umar & Fareed, Zeeshan, 2023. "Asymmetric nexus between Bitcoin, gold resources and stock market returns: Novel findings from quantile estimates," Resources Policy, Elsevier, vol. 81(C).
    2. Francesco Furlanetto & Paolo Gelain & Marzie Taheri Sanjani, 2014. "Output Gap in Presence of Financial Frictions and Monetary Policy Trade-offs," IMF Working Papers 2014/128, International Monetary Fund.
    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. Ernst, Ekkehard & Semmler, Willi & Haider, Alexander, 2017. "Debt-deflation, financial market stress and regime change – Evidence from Europe using MRVAR," Journal of Economic Dynamics and Control, Elsevier, vol. 81(C), pages 115-139.
    2. Wei, Xuecheng & Hu, Weihua, 2023. "Revisiting resources curse hypothesis in China: Exploring the asymmetric effect of green investment and green innovation," Resources Policy, Elsevier, vol. 85(PB).
    3. Mr. Helge Berger & Mr. Thomas Dowling & Mr. Sergi Lanau & Mr. Mico Mrkaic & Mr. Pau Rabanal & Marzie Taheri Sanjani, 2015. "Steady as She Goes—Estimating Potential Output During Financial “Booms and Busts”," IMF Working Papers 2015/233, International Monetary Fund.
    4. Susovon Jana & Tarak N. Sahu, 2023. "Is the cryptocurrency market a hedge against stock market risk? A Wavelet and GARCH approach," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 52(3), November.
    5. Krustev, Georgi, 2019. "The natural rate of interest and the financial cycle," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 193-210.
    6. Ding, Tao & Li, Hao & Tan, Ruipeng & Zhao, Xin, 2023. "How does geopolitical risk affect carbon emissions?: An empirical study from the perspective of mineral resources extraction in OECD countries," Resources Policy, Elsevier, vol. 85(PB).
    7. Sunil Tiwari & Sana Bashir & Tapan Sarker & Umer Shahzad, 2024. "Sustainable pathways for attaining net zero emissions in selected South Asian countries: role of green energy market and pricing," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.
    8. Lei, Qiu & Huang, Weiyun & Zhao, Fang & Sarwar, Saima & Chaudhary, Muhammad Gulzaib, 2023. "The importance of public sector size and resources volatility in carbon emissions: Empirical evidence from OECD countries," Resources Policy, Elsevier, vol. 85(PA).
    9. Georgiadis, Georgios & Jančoková, Martina, 2020. "Financial globalisation, monetary policy spillovers and macro-modelling: Tales from 1001 shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 121(C).
    10. Mr. Pau Rabanal & Marzie Taheri Sanjani, 2015. "Financial Factors: Implications for Output Gaps," IMF Working Papers 2015/153, International Monetary Fund.
    11. Giovanni Dell'Ariccia & Karl Habermeier & Vikram Haksar & Tommaso Mancini-Griffoli, 2017. "Monetary Policy and Financial Stability," RBA Annual Conference Volume (Discontinued), in: Jonathan Hambur & John Simon (ed.),Monetary Policy and Financial Stability in a World of Low Interest Rates, Reserve Bank of Australia.
    12. Pau Rabanal & Marzie Sanjani, 2015. "Incorporating Financial Cycles in Output Gap Measures: Estimates for the Euro Area," 2015 Meeting Papers 426, Society for Economic Dynamics.
    13. Mariem Gaies & Walid Chkili, 2023. "Dynamic correlation and hedging strategy between Bitcoin prices and stock market during the Russo-Ukrainian war," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 13(2), pages 307-319, June.

    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:bcp:journl:v:7:y:2023:i:10:p:2414-2421. 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: Dr. Pawan Verma (email available below). General contact details of provider: https://www.rsisinternational.org/journals/ijriss/ .

    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.