英文标题：
《Unconventional Exchange: Methods for Statistical Analysis of Virtual
Goods》
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作者：
Oliver James Scholten and Peter Cowling and Kenneth A. Hawick and
James Alfred Walker
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最新提交年份：
2019
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英文摘要：
Hyperinflation and price volatility in virtual economies has the potential to reduce player satisfaction and decrease developer revenue. This paper describes intuitive analytical methods for monitoring volatility and inflation in virtual economies, with worked examples on the increasingly popular multiplayer game Old School Runescape. Analytical methods drawn from mainstream financial literature are outlined and applied in order to present a high level overview of virtual economic activity of 3467 price series over 180 trading days. Six-monthly volume data for the top 100 most traded items is also used both for monitoring and value estimation, giving a conservative estimate of exchange trading volume of over {\\pounds}60m in real value. Our worked examples show results from a well functioning virtual economy to act as a benchmark for future work. This work contributes to the growing field of virtual economics and game development, describing how data transformations and statistical tests can be used to improve virtual economic design and analysis, with applications in real-time monitoring systems.
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中文摘要：
虚拟经济中的恶性通货膨胀和价格波动有可能降低玩家满意度并减少开发商收入。本文描述了监测虚拟经济中波动性和通货膨胀的直观分析方法，并以日益流行的多人游戏《老派Runescape》为例。概述并应用了从主流金融文献中提取的分析方法，以便对180个交易日内3467个价格系列的虚拟经济活动进行高水平的概述。前100个交易量最大项目的六个月交易量数据也用于监测和价值估计，保守估计实际交易量超过6000万英镑。我们的工作示例显示了一个运行良好的虚拟经济的结果，可以作为未来工作的基准。这项工作有助于虚拟经济和游戏开发领域的发展，描述了如何利用数据转换和统计测试改进虚拟经济设计和分析，并将其应用于实时监控系统。
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分类信息：

一级分类：Quantitative Finance 数量金融学
二级分类：General Finance 一般财务
分类描述：Development of general quantitative methodologies with applications in finance
通用定量方法的发展及其在金融中的应用
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