IDEAS home Printed from https://ideas.repec.org/a/kap/compec/v59y2022i4d10.1007_s10614-020-10050-0.html
   My bibliography  Save this article

Blockchain-Based Cryptocurrency Regulation: An Overview

Author

Listed:
  • Satya Prakash Yadav

    (ABES Institute of Technology (ABESIT))

  • Krishna Kant Agrawal

    (ABES Institute of Technology (ABESIT))

  • Bhoopesh Singh Bhati

    (Ambedkar Institute of Advanced Communication Technologies and Research Govt. of N.C.T Delhi)

  • Fadi Al-Turjman

    (Near East University
    Research Centre for AI and IoT, Near East University)

  • Leonardo Mostarda

    (Camerino University)

Abstract

Governments and industry leaders have already carried out programs to fully evaluate the strengths of blockchain and how it needs to be incorporated into everyday practices. Several segments performed faster than others. The integration of blockchain technologies into everyday activities within large multinationals was officially communicated, with the money part being the snappiest out of the squares, the promotion and the market part. Where integration of blockchain technologies can provide secure, accessible digital versions to all parties in a transaction, and smart contracts can be used to manage the workflow of approvals and automatically transfer payment upon all signatures being collected. As indicated by Gartner, blockchain innovation has just reached the height of the advertisement process and entered a time of decline, which is recognizing the authenticity of blockchain innovation. The perspective for innovation in blockchain looks magnificent and the increases created by acquiring the innovation are unforeseen. The general consensus is that passing the time of swelled desire was a significant advance in the transformation of blockchain across the infomercial process. The viewpoint for blockchain innovation looks splendid and the increases produced using receiving the innovation will be inconceivable. How the innovation is grasped will be the way to how it benefits the monetary markets and the world when all is said in done.

Suggested Citation

  • Satya Prakash Yadav & Krishna Kant Agrawal & Bhoopesh Singh Bhati & Fadi Al-Turjman & Leonardo Mostarda, 2022. "Blockchain-Based Cryptocurrency Regulation: An Overview," Computational Economics, Springer;Society for Computational Economics, vol. 59(4), pages 1659-1675, April.
    • Handle: RePEc:kap:compec:v:59:y:2022:i:4:d:10.1007_s10614-020-10050-0
    DOI: 10.1007/s10614-020-10050-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10614-020-10050-0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10614-020-10050-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Yufang Liu & Weiguo Zhang & Junhui Fu & Xiang Wu, 2020. "Multifractal Analysis of Realized Volatilities in Chinese Stock Market," Computational Economics, Springer;Society for Computational Economics, vol. 56(2), pages 319-336, August.
    2. Jin-Bom Han & Sun-Hak Kim & Myong-Hun Jang & Kum-Sun Ri, 2020. "Using Genetic Algorithm and NARX Neural Network to Forecast Daily Bitcoin Price," Computational Economics, Springer;Society for Computational Economics, vol. 56(2), pages 337-353, August.
    3. Sang Hoon Kang & Seong-Min Yoon & Stelios Bekiros & Gazi S. Uddin, 2020. "Bitcoin as Hedge or Safe Haven: Evidence from Stock, Currency, Bond and Derivatives Markets," Computational Economics, Springer;Society for Computational Economics, vol. 56(2), pages 529-545, August.
    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. Hanghang Dong & Jun Yang & Xiaoming Li & Lan Xu, 2024. "Explore the Impact Mechanism of Block Chain Technology on China's Carbon Market," Computational Economics, Springer;Society for Computational Economics, vol. 64(1), pages 105-135, July.
    2. Aziz N. Berdiev & Rajeev K. Goel & James W. Saunoris, 2024. "Global cryptocurrency use, corruption, and the shadow economy: New insights into the underlying linkages," American Journal of Economics and Sociology, Wiley Blackwell, vol. 83(3), pages 609-629, May.
    3. Ravi Kashyap, 2023. "DeFi Security: Turning The Weakest Link Into The Strongest Attraction," Papers 2312.00033, arXiv.org.
    4. Goel, Rajeev K. & Mazhar, Ummad, 2024. "Cryptocurrency use and tax collections: Direct and indirect channels of influence," Journal of Financial Stability, Elsevier, vol. 72(C).
    5. Yang, Fan & Yu, Hai & Wilson, Craig & Jacoby, Gady & Wu, Zhenyu, 2024. "Blockchain technology and international countertrade," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 91(C).

    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. Bhuiyan, Rubaiyat Ahsan & Husain, Afzol & Zhang, Changyong, 2021. "A wavelet approach for causal relationship between bitcoin and conventional asset classes," Resources Policy, Elsevier, vol. 71(C).
    2. Hakan Pabuccu & Adrian Barbu, 2023. "Feature Selection with Annealing for Forecasting Financial Time Series," Papers 2303.02223, arXiv.org, revised Feb 2024.
    3. Surinder Singh Khurana & Parvinder Singh & Naresh Kumar Garg, 2024. "OG-CAT: A Novel Algorithmic Trading Alternative to Investment in Crypto Market," Computational Economics, Springer;Society for Computational Economics, vol. 63(5), pages 1735-1756, May.
    4. Xu, Lei & Kinkyo, Takuji, 2023. "Hedging effectiveness of bitcoin and gold: Evidence from G7 stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 85(C).
    5. Huang, Linxian, 2024. "The relationship between cryptocurrencies and convention financial market: Dynamic causality test and time-varying influence," International Review of Economics & Finance, Elsevier, vol. 91(C), pages 811-826.
    6. Gyana Ranjan Patra & Mihir Narayan Mohanty, 2023. "Price Prediction of Cryptocurrency Using a Multi-Layer Gated Recurrent Unit Network with Multi Features," Computational Economics, Springer;Society for Computational Economics, vol. 62(4), pages 1525-1544, December.
    7. Yang, Boyu & Sun, Yuying & Wang, Shouyang, 2020. "A novel two-stage approach for cryptocurrency analysis," International Review of Financial Analysis, Elsevier, vol. 72(C).
    8. Pham, Linh & Huynh, Toan Luu Duc & Hanif, Waqas, 2023. "Time-varying asymmetric spillovers among cryptocurrency, green and fossil-fuel investments," Global Finance Journal, Elsevier, vol. 58(C).
    9. Mahla Afghahi & Farzaneh Nassirzadeh & Davood Askarany, 2024. "Exploring the impact of customer concentration on stock price crash risk," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
    10. Goodell, John W. & Ben Jabeur, Sami & Saâdaoui, Foued & Nasir, Muhammad Ali, 2023. "Explainable artificial intelligence modeling to forecast bitcoin prices," International Review of Financial Analysis, Elsevier, vol. 88(C).
    11. Amin Aminimehr & Ali Raoofi & Akbar Aminimehr & Amirhossein Aminimehr, 2022. "A Comprehensive Study of Market Prediction from Efficient Market Hypothesis up to Late Intelligent Market Prediction Approaches," Computational Economics, Springer;Society for Computational Economics, vol. 60(2), pages 781-815, August.
    12. Taha Zaghdoudi & Kais Tissaoui & Mohamed Hédi Maâloul & Younès Bahou & Niazi Kammoun, 2024. "Can Economic, Geopolitical and Energy Uncertainty Indices Predict Bitcoin Energy Consumption? New Evidence from a Machine Learning Approach," Energies, MDPI, vol. 17(13), pages 1-15, July.
    13. Stelios Bekiros & Axel Hedström & Evgeniia Jayasekera & Tapas Mishra & Gazi Salah Uddin, 2021. "Correlated at the Tail: Implications of Asymmetric Tail-Dependence Across Bitcoin Markets," Computational Economics, Springer;Society for Computational Economics, vol. 58(4), pages 1289-1299, December.
    14. Marek Nagy & Katarina Valaskova & Erika Kovalova & Marcel Macura, 2024. "Drivers of S&P 500’s Profitability: Implications for Investment Strategy and Risk Management," Economies, MDPI, vol. 12(4), pages 1-24, March.
    15. Będowska-Sójka, Barbara & Kliber, Agata, 2021. "Is there one safe-haven for various turbulences? The evidence from gold, Bitcoin and Ether," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
    16. Lei Wang & Provash Kumer Sarker & Elie Bouri, 2023. "Short- and Long-Term Interactions Between Bitcoin and Economic Variables: Evidence from the US," Computational Economics, Springer;Society for Computational Economics, vol. 61(4), pages 1305-1330, April.

    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:kap:compec:v:59:y:2022:i:4:d:10.1007_s10614-020-10050-0. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.