A1771
Title: Understanding digital assets
Authors: Daniel Traian Pele - Bucharest University of Economic Studies, Institute for Economic Forecasting, Romanian Academy (Romania) [presenting]
Raul Cristian Bag - Bucharest University of Economic Studies (Romania)
Miruna Mazurencu-Marinescu-Pele - Bucharest University of Economic Studies (Romania)
Stefan Gaman - Bucharest University of Economic Studies (Romania)
Catalina Alexandra Chinie - Bucharest University of Economic Studies (Romania)
Bogdan Saftiuc - Bucharest University of Economic Studies (Romania)
Abstract: In the digital age, the emergence of digital assets has introduced a new dimension to the economic landscape. A statistical analysis of digital assets is provided, aiming to quantify their growth, distribution, and impact. Utilizing a dataset spanning multiple years, digital assets are categorized into distinct classes such as cryptocurrencies, digital art, and e-books, among others. Through rigorous statistical methods, the rate of adoption, volatility, and correlation of these assets are assessed with traditional financial instruments. The findings indicate a significant increase in the market capitalization and user base of digital assets over the past decade. Moreover, a time-series analysis reveals cyclic patterns of growth and regression, influenced by technological advancements and regulatory changes. A regression model is also presented predicting the future trajectory of digital assets based on historical data. By offering a data-driven insight into the world of digital assets, a contribution is made to informed policymaking and investment decisions.
