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  Dr Tong Wang  Applications accepted all year round  Competition Funded PhD Project (Students Worldwide)

About the Project

Project Overview:

Due to the emergence of decentralised consensus protocols, Cryptocurrencies and Initial Coin Offerings are flourished in recent years. These markets are not as regulated as traditional financial markets but gain increasing attention from both individual and institutional investors.

This PhD project studies how blockchain technology can shape the finance industry. In particular, it focuses on how corporations address funding sources, capital structuring, accounting, and investment decisions in the presence of blockchain technology. The research will mainly use information economics as a theoretical foundation to explore the underlying trade-offs introduced by blockchain and cryptocurrencies.

Project keywords: Blockchain, Fintech, Information Economics

Candidate Requirements:

The candidate will need to submit a research proposal. Non-UK applicants must meet our English language entry requirement. Informal enquiries are welcomed and should be directed to Dr Tong Wang at the email address [Email Address Removed].

Economics (10) Finance (14)

Funding Notes

Successful applicants will get an offer of the PhD position, and then enter the candidate pool of the business school to compete for the doctoral scholarship. The deadline for scholarship application is to be announced later this year, but usually at the beginning of February 2022.

References

Sokolov, K. (2021). Ransomware activity and blockchain congestion. Journal of Financial Economics.
Foley, S., Karlsen, J. R., & Putniņš, T. J. (2019). Sex, drugs, and bitcoin: How much illegal activity is financed through cryptocurrencies?. The Review of Financial Studies, 32(5), 1798-1853.
Chiu, J., & Koeppl, T. V. (2019). Blockchain-based settlement for asset trading. The Review of Financial Studies, 32(5), 1716-1753.
Cong, L. W., & He, Z. (2019). Blockchain disruption and smart contracts. The Review of Financial Studies, 32(5), 1754-1797.

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Research output data provided by the Research Excellence Framework (REF)

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