英文标题：
《Bitcoin Average Dormancy: A Measure of Turnover and Trading Activity》
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作者：
Reginald D. Smith
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最新提交年份：
2018
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英文摘要：
Attempts to accurately measure the monetary velocity or related properties of bitcoin used in transactions have often attempted to either directly apply definitions from traditional macroeconomic theory or to use specialized metrics relative to the properties of the Blockchain like bitcoin days destroyed. In this paper, it is demonstrated that beyond being a useful metric, bitcoin days destroyed has mathematical properties that allow you to calculate the average dormancy (time since last use in a transaction) of the bitcoins used in transactions over a given time period. In addition, bitcoin days destroyed is shown to have another unexpected significance as the average size of the pool of traded bitcoins by virtue of the expression Little\'s Law, though only under limited conditions.
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中文摘要：
为了准确衡量交易中使用的比特币的货币流通速度或相关属性，人们往往试图直接应用传统宏观经济理论的定义，或使用与区块链属性相关的专门指标，如比特币被毁天数。本文证明，比特币销毁天数不仅是一个有用的指标，还具有数学特性，可用于计算给定时间段内交易中使用的比特币的平均休眠时间（自上次在交易中使用以来的时间）。此外，根据利特尔定律（Little’s Law），比特币被毁天数还有另一个意想不到的意义，即比特币交易池的平均规模，尽管只有在有限的条件下。
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分类信息：

一级分类：Quantitative Finance 数量金融学
二级分类：Trading and Market Microstructure 交易与市场微观结构
分类描述：Market microstructure, liquidity, exchange and auction design, automated trading, agent-based modeling and market-making
市场微观结构，流动性，交易和拍卖设计，自动化交易，基于代理的建模和做市
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一级分类：Quantitative Finance 数量金融学
二级分类：Statistical Finance 统计金融
分类描述：Statistical, econometric and econophysics analyses with applications to financial markets and economic data
统计、计量经济学和经济物理学分析及其在金融市场和经济数据中的应用
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