GNCRMay 28, 2019

Monetary Stabilization in Cryptocurrencies - Design Approaches and Open Questions

arXiv:1905.11905v144 citations
Originality Synthesis-oriented
AI Analysis

This work addresses the problem of cryptocurrency price volatility hindering adoption, providing a cross-disciplinary taxonomy to guide stablecoin design, though it is incremental in synthesizing existing projects.

The paper systematically analyzes 24 stablecoin projects to develop a taxonomy of cryptocurrency stabilization, revealing that 91% target 1-to-1 exchange rates despite monetary policy suggesting short-term volatility smoothing as more sustainable, and 38% use techniques vulnerable to speculative attacks.

The price volatility of cryptocurrencies is often cited as a major hindrance to their wide-scale adoption. Consequently, during the last two years, multiple so called stablecoins have surfaced---cryptocurrencies focused on maintaining stable exchange rates. In this paper, we systematically explore and analyze the stablecoin landscape. Based on a survey of 24 specific stablecoin projects, we go beyond individual coins for extracting general concepts and approaches. We combine our findings with learnings from classical monetary policy, resulting in a comprehensive taxonomy of cryptocurrency stabilization. We use our taxonomy to highlight the current state of development from different perspectives and show blank spots. For instance, while over 91% of projects promote 1-to-1 stabilization targets to external assets, monetary policy literature suggests that the smoothing of short term volatility is often a more sustainable alternative. Our taxonomy bridges computer science and economics, fostering the transfer of expertise. For example, we find that 38% of the reviewed projects use a combination of exchange rate targeting and specific stabilization techniques that can render them vulnerable to speculative economic attacks - an avoidable design flaw.

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