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Mathematics, Cryptocurrencies and Blockchain Technology. (2022). Miralles Quirós, José ; Miralles-Quiros, Maria Mar.
In: Mathematics.
RePEc:gam:jmathe:v:10:y:2022:i:12:p:2038-:d:837071.

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  1. Boguslavsky, D.; Sharova, N.; Sharov, K. Cryptocurrency as Epidemiologically Safe Means of Transactions: Diminishing Risk of SARS-CoV-2 Spread. Mathematics 2021, 9, 3263. [CrossRef]
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  2. Chen, K.; Huang, Y. Detecting Jump Risk and Jump-Diffusion Model for Bitcoin Options Pricing and Hedging. Mathematics 2021, 9, 2567. [CrossRef]

  3. Cohen, G. Trading Cryptocurrencies Using Second Order Stochastic Dominance. Mathematics 2021, 9, 2861. [CrossRef]

  4. Guo, C.; Zhang, P.; Lin, B.; Song, J. A Dual Incentive Value-Based Paradigm for Improving the Business Market Profitability in Blockchain Token Economy. Mathematics 2022, 10, 439. [CrossRef]
    Paper not yet in RePEc: Add citation now
  5. Mazorra, B.; Adan, V.; Daza, V. Do Not Rug on Me: Leveraging Machine Learning Techniques for Automated Scam Detection. Mathematics 2022, 10, 949. [CrossRef]

  6. Pinto-Gutiérrez, C.; Gaitán, S.; Jaramillo, D.; Velasquez, S. The NFT Hype: What Draws Attention to Non-Fungible Tokens? Mathematics 2022, 10, 335. [CrossRef]

  7. Syarifuddin, F.; Bakhtiar, T. The Macroeconomic Effects of an Interest-Bearing CBDC: A DSGE Model. Mathematics 2022, 10, 1671. [CrossRef]

  8. Syed, A.; Ahmed, F.; Kamal, M.; Ullah, A.; Ramos-Requena, J. Is There an Asymmetric Relationship between Economic Policy Uncertainty, Cryptocurrencies, and Global Green Bonds? Evidence from the United States of America. Mathematics 2022, 10, 720. [CrossRef]

  9. Ye, Z.; Wu, Y.; Chen, H.; Pan, Y.; Jiang, Q. A Stacking Ensemble Deep Learning Model for Bitcoin Price Prediction Using Twitter Comments on Bitcoin. Mathematics 2022, 10, 1307. [CrossRef]

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