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The Journal of Financial Data Science

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The Complexity of Blockchain Risks Simplified and Displayed: Introduction of the Johns Hopkins Blockchain Risk Map

Jiarui Chen, Qilin QiQi Tong, Himanshu Verma, Avinash Sharma, Anton Dahbura and Jim Kyung-Soo Liew
The Journal of Financial Data Science Winter 2023, 5 (1) 96-109; DOI: https://doi.org/10.3905/jfds.2022.1.117
Jiarui Chen
is an undergraduate student at Johns Hopkins University in Baltimore, MD and was a summer 2022 intern at SoKat Asset Management in Rockville, MD
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Qilin QiQi Tong
is an undergraduate student at Johns Hopkins University in Baltimore, MD and was a summer 2022 intern at SoKat Asset Management in Rockville, MD
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Himanshu Verma
is a doctoral candidate in economics at Johns Hopkins University in Baltimore, MD
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Avinash Sharma
is the chief technology officer of SoKat Asset Management in Rockville, MD
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Anton Dahbura
is an executive director of the Johns Hopkins Information Security Institute and a co-director of the Johns Hopkins Institute of Assured Autonomy in Baltimore, MD
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Jim Kyung-Soo Liew
is an associate professor of finance at the Johns Hopkins Carey Business School in Baltimore, MD and the CEO/CIO of SoKat Asset Management in Rockville, MD
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Abstract

Blockchains have ushered in the next stage in the evolution of the Internet, transitioning us from Web 2.0 to 3.0. However, given the complex nature of this innovative technology and the inability to clearly measure and properly communicate the risks in blockchains, arguably this murkiness has hampered the development, growth, proper regulation, and, ultimately, the true societal beneficial contributions of blockchains. In an attempt to clear the confusion, the authors propose the Johns Hopkins Blockchain Risk Map. The authors present their risk map prototype, their current multidimensional exhibit of risks across the various stakeholders, and their current modest progress with some data on their current risk measures. The authors are attempting to create a safe space whereby blockchain risks are defined, displayed, debated, researched, fine-tuned, standardized, and freely shared. The authors believe that such a platform would be an ideal mechanism for education, networking, and collaboration for the next generation, specifically those who are underrepresented in the current blockchain development community. By increasing the transparency and debating risk issues in a safe academic environment, the authors hope that this risk map will help move blockchain adoption forward and spur more entrepreneurial activity across this industry. In this article, the authors lay down their initial thoughts and current progress and challenges. Although this article is in no way exhaustive, the authors provide several categorizations of blockchain risks: operational, decentralization, security, social sentiment, investment, and systemic, to name a few.

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The Journal of Financial Data Science: 5 (1)
The Journal of Financial Data Science
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Winter 2023
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The Complexity of Blockchain Risks Simplified and Displayed: Introduction of the Johns Hopkins Blockchain Risk Map
Jiarui Chen, Qilin QiQi Tong, Himanshu Verma, Avinash Sharma, Anton Dahbura, Jim Kyung-Soo Liew
The Journal of Financial Data Science Jan 2023, 5 (1) 96-109; DOI: 10.3905/jfds.2022.1.117

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The Complexity of Blockchain Risks Simplified and Displayed: Introduction of the Johns Hopkins Blockchain Risk Map
Jiarui Chen, Qilin QiQi Tong, Himanshu Verma, Avinash Sharma, Anton Dahbura, Jim Kyung-Soo Liew
The Journal of Financial Data Science Jan 2023, 5 (1) 96-109; DOI: 10.3905/jfds.2022.1.117
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  • Article
    • Abstract
    • MATRIX OF BLOCKCHAIN RISKS BY STAKEHOLDERS AND RISK DIMENSIONS
    • DECENTRALIZATION
    • SECURITY RISKS
    • CAPITAL INVESTMENT RISKS
    • ENDNOTES
    • REFERENCES
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