Reprint

Mathematics, Cryptocurrencies and Blockchain Technology

Edited by
July 2022
200 pages
  • ISBN978-3-0365-4571-4 (Hardback)
  • ISBN978-3-0365-4572-1 (PDF)

This book is a reprint of the Special Issue Mathematics, Cryptocurrencies and Blockchain Technology that was published in

Computer Science & Mathematics
Engineering
Physical Sciences
Public Health & Healthcare
Summary

Cryptocurrencies, which can be understood as mathematical money, are one of the main challenges that exist in the field of finance today, and in our society and way of life in the very near future. The academic world cannot be oblivious to this development. That is why we propose to be Guest Editors of a Special Issue dedicated to the role of mathematics in the transformation of the world through these instruments. Our aim is to contribute to this Special Issue with our research and to encourage our national and international colleagues, and the rest of the academic community, to submit articles to this Special Issue. Cryptocurrencies are built using complex mathematics and computational methods. However, we do not focus only on mathematics as a feature of the security and effectiveness of cryptocurrency protocols, but also on the pricing mathematics. In that context, the pricing mathematics underlying these instruments can be useful tools for prediction or for estimating the reasonable value of something. Therefore, we consider that an adequate academic research in this field will reinforce the importance of mathematics for cryptocurrencies.

Potential topics include, but are not limited to:

Forecasting models; Effects on financial markets; Mathematical models; Cryptocurrencies mining; Future of cryptocurrencies; Abnormal volatility; Cryptocurrency pump and dump; Cybercrime and cryptocurrencies; Exchange frauds in digital transactions.

Format
  • Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
blockchain; convex risk measure; jump-diffusion model; fintech; option pricing; cryptocurrencies; Bitcoin; Ethereum; algorithmic trading; artificial intelligence; COVID-19; Bitcoin; Ether; Ethereum; contact way of disease transmission; respiratory virus; cash money; NFT; non-fungible tokens; investor attention; cryptocurrency; blockchain; token economy; incentive mechanism; effects in business market; economic model; green bonds; environmental sustainability; asymmetric analysis; EPU; clean energy; ethereum; DeFi; DEX; scam detection; cryptocurrencies; forecasting model; financial technology; ensemble learning; Bitcoin price prediction; DSGE model; interest-bearing CBDC; monetary policy; transaction costs; n/a