Sector Taxonomies For Digital Assets: Correlation Structures, Diversification Benefits and Quality Assessment
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.
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
Oops! Something went wrong while submitting the form
By clicking “Accept All Cookies”, you agree to the storing of cookies on your device to enhance site navigation, analyze site usage, and assist in our marketing efforts. View our Privacy Policy for more information.