With the growth of digital assets and institutional investing in digital assets over the past decade, a need for classification systems for better monitoring becomes essential. In this paper, we provide a quantitative testing and comparison of two digital asset taxonomies: DATS and DACS primarily using return comovement. We find that while DACS captures greater granularity at Level 2 in its Industry Groups for some cases, DATS captures more depth in its Subsectors at Level 1 in some others. Moreover, behaviour of specific sub-groups for both taxonomies are studied in detail over two scenarios: Facebook rebranding to META and the Terra-LUNA Crash
Sector Taxonomies For Digital Assets: Correlation Structures, Diversification Benefits and Quality Assessment
It is not uncommon to see homogeneous groups of assets in traditional finance used for portfolio risk management, relative valuation and risk attribution, amongst other applications.