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Blockchain and Cryptocurrencies

Author

Listed:
  • Stephen Chan

    (Department of Mathematics and Statistics, American University of Sharjah, Sharjah 26666, UAE)

  • Jeffrey Chu

    (School of Statistics, Renmin University of China, No. 59 Zhongguancun Street, Haidian District, Beijing 100872, China)

  • Yuanyuan Zhang

    (School of Mathematics, University of Manchester, Manchester M13 9PL, UK)

  • Saralees Nadarajah

    (School of Mathematics, University of Manchester, Manchester M13 9PL, UK)

Abstract

Cryptocurrencies are essentially digital currencies that use blockchain technology and cryptography to facilitate secure and anonymous transactions. Many institutions and countries are starting to understand and implement the idea of cryptocurrencies in their business models. With this recent surge in interest, we believe that now is the time to start studying these areas as a key piece of financial technology. The aim of this Special Issue is to provide a collection of papers from leading experts in the area of blockchain and cryptocurrencies. The topics covered in this Special Issue includes the economics, financial analysis and risk management with cryptocurrencies.

Suggested Citation

  • Stephen Chan & Jeffrey Chu & Yuanyuan Zhang & Saralees Nadarajah, 2020. "Blockchain and Cryptocurrencies," JRFM, MDPI, vol. 13(10), pages 1-3, September.
    • Handle: RePEc:gam:jjrfmx:v:13:y:2020:i:10:p:227-:d:419978
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    References listed on IDEAS

    as
    1. Yuanyuan Zhang & Stephen Chan & Jeffrey Chu & Hana Sulieman, 2020. "On the Market Efficiency and Liquidity of High-Frequency Cryptocurrencies in a Bull and Bear Market," JRFM, MDPI, vol. 13(1), pages 1-14, January.
    2. Νikolaos A. Kyriazis & Paraskevi Prassa, 2019. "Which Cryptocurrencies Are Mostly Traded in Distressed Times?," JRFM, MDPI, vol. 12(3), pages 1-12, August.
    3. Mircea Constantin Șcheau & Simona Liliana Crăciunescu & Iulia Brici & Monica Violeta Achim, 2020. "A Cryptocurrency Spectrum Short Analysis," JRFM, MDPI, vol. 13(8), pages 1-16, August.
    4. Nader Trabelsi, 2018. "Are There Any Volatility Spill-Over Effects among Cryptocurrencies and Widely Traded Asset Classes?," JRFM, MDPI, vol. 11(4), pages 1-17, October.
    5. Ziaul Haque Munim & Mohammad Hassan Shakil & Ilan Alon, 2019. "Next-Day Bitcoin Price Forecast," JRFM, MDPI, vol. 12(2), pages 1-15, June.
    6. Toan Luu Duc Huynh, 2019. "Spillover Risks on Cryptocurrency Markets: A Look from VAR-SVAR Granger Causality and Student’s-t Copulas," JRFM, MDPI, vol. 12(2), pages 1-19, April.
    7. Paulo Ferreira & Éder Pereira, 2019. "Contagion Effect in Cryptocurrency Market," JRFM, MDPI, vol. 12(3), pages 1-8, July.
    8. Ahmed Ibrahim & Rasha Kashef & Menglu Li & Esteban Valencia & Eric Huang, 2020. "Bitcoin Network Mechanics: Forecasting the BTC Closing Price Using Vector Auto-Regression Models Based on Endogenous and Exogenous Feature Variables," JRFM, MDPI, vol. 13(9), pages 1-21, August.
    9. Nikolaos A. Kyriazis, 2019. "A Survey on Efficiency and Profitable Trading Opportunities in Cryptocurrency Markets," JRFM, MDPI, vol. 12(2), pages 1-17, April.
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    Cited by:

    1. Lyudmila Tolstolesova & Igor Glukhikh & Natalya Yumanova & Otabek Arzikulov, 2021. "Digital Transformation of Public-Private Partnership Tools," JRFM, MDPI, vol. 14(3), pages 1-17, March.
    2. Wang, Qiyu & Chong, Terence Tai-Leung, 2021. "Factor pricing of cryptocurrencies," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    3. Wang, Junjin & Liu, Jiaguo & Wang, Fan & Yue, Xiaohang, 2021. "Blockchain technology for port logistics capability: Exclusive or sharing," Transportation Research Part B: Methodological, Elsevier, vol. 149(C), pages 347-392.

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