Blockchain Technologies and Cryptocurrencies
A special issue of Journal of Risk and Financial Management (ISSN 1911-8074). This special issue belongs to the section "Financial Technology and Innovation".
Deadline for manuscript submissions: 31 December 2024 | Viewed by 37410
Special Issue Editors
Interests: fintech; cryptocurrencies; blockchain; macroeconomics; banking; islamic finance
Special Issues, Collections and Topics in MDPI journals
Interests: cryptocurrencies; empirical asset pricing; forecasting; sentiment analysis
Interests: FinTech; blockchain; cryptocurrencies; machine learning applications
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue is focused on “Blockchain Technologies and Cryptocurrencies”.
Due to their relative novelty as an asset class, cryptocurrencies lack well-established methods for either valuing themselves or understanding how their prices are determined. However, digital assets are similar to traditional ones and may even be based on the same underlying principles. The price of a cryptocurrency may rise or fall based on the quality of the distributed network upon which it is built, similar to the equity valuations of social media companies such as Facebook are related to the value of their proprietary networks. Blockchain technologies, such as Bitcoin and Ethereum, make it possible for two people to exchange value without the intervention of a third party that can be trusted. How does sentiment impact the success of blockchain startups? Is there any predictive power of social media for predicting cryptocurrency prices? What drives cryptocurrency prices? How does cryptocurrency volatility affect the crypto mining company’s financial performance?
These and many other questions are the subjects of interest in this Special Issue.
Theoretical and empirical papers on the blockchain and cryptocurrency market within a wide range of research interests are welcome.
We invite you to submit your work.
Prof. Dr. Ahmet Faruk Aysan
Dr. Oguzhan Cepni
Dr. Erdinc Akyildirim
Guest Editors
Manuscript Submission Information
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Keywords
- cryptocurrencies
- FinTech
- sentiment analysis
- machine learning applications
- blockchain
- mining companies
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