FnGuide, Bonanza Lab Publish Digital Asset Classification Paper in KCI Journal
A paper on a digital asset classification system, jointly researched by financial information provider FnGuide and digital asset data specialist Bonanza Lab, has been published in the Asia-Pacific Journal of Business Venturing and Entrepreneurship, a KCI-indexed academic journal published by the Korea Society of Entrepreneurship.
According to FnGuide on November 4, the study provides an academic elaboration of the methodology behind K-DACS, a domestic digital asset classification system announced by the two companies in March. It proposes classification criteria based on the purposes for which digital assets are used and their roles in the market, and applies them to 13 major digital assets, including Bitcoin and Ethereum, to analyze the characteristics of each asset. In addition to researchers from the two companies, Professor Kang Hyunggu of the Department of Finance and Management at Hanyang University participated as the corresponding author.
The two companies said the study establishes a theoretical foundation for "financial inference" using digital asset data. Financial inference refers to the decision-making process of combining structured data with financial expertise to analyze and predict an asset's intrinsic value and risk factors.
The classification system is expected to be used in developing digital asset-related indices, valuation, sector analysis, and risk management. It could also serve as a basis for comparing and analyzing assets in token-based venture ecosystems, helping to reduce information asymmetry in the digital asset market and protect investors.
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Representatives of the two companies said, "The publication of this paper is meaningful because it strengthens the academic foundation for a digital asset classification system," adding, "We will continue to advance our data-based analytical framework and contribute to increasing transparency and trust in the digital asset market."
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