Improving the Equation of Exchange for Cryptoasset Valuation Using Empirical Data
Stylianos Kampakis, Melody Yuan, Oritsebawo Paul Ikpobe, Linas, Stankevicius

TL;DR
This paper refines the equation of exchange for cryptocurrency valuation by addressing its limitations in relating token velocity and holding time, using empirical data to improve accuracy and insight.
Contribution
It introduces an improved model that better captures the relationship between token velocity and holding time in cryptoasset valuation.
Findings
Enhanced valuation accuracy demonstrated with empirical data
Better understanding of token velocity and holding time relationship
Refined equation improves cryptoasset pricing models
Abstract
In the evolving domain of cryptocurrency markets, accurate token valuation remains a critical aspect influencing investment decisions and policy development. Whilst the prevailing equation of exchange pricing model offers a quantitative valuation approach based on the interplay between token price, transaction volume, supply, and either velocity or holding time, it exhibits intrinsic shortcomings. Specifically, the model may not consistently delineate the relationship between average token velocity and holding time. This paper aims to refine this equation, enhancing the depth of insight into token valuation methodologies.
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Taxonomy
TopicsAdvanced Data Storage Technologies · Statistical and Computational Modeling
