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比特币市场洗售交易的时机选择

文章 arXiv papers · 作者: Hunter Ng
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总结

本研究使用包含 18 百万笔 Mt. Gox 交易的数据集，考察比特币洗售交易如何随市场状况变化。报告称，当正常交易量较低时，洗售交易增加；正常交易量较高时，洗售交易减少，这与操纵者选择较清淡时段以提高其活动影响力的情况一致。分析还描述了这种活动向其他平台扩散，并随着股票或黄金交易增加而减少。

论文将洗售交易与媒体关注和网络传言联系起来；这些因素与正常交易量短暂激增相关。论文还使用与非法网络市场相关的需求冲击，研究对同期比特币需求事件的反应。这些发现有助于了解如何识别操纵，以及操纵可能如何与流动性和关注度相互作用。证据仅来自历史交易所和数据集；摘要没有证明相同模式适用于当前交易场所，也没有证明每次观察到的交易量变化都是由洗售交易造成的。

核心观点

  • Mt. Gox 数据显示，正常市场交易量较低时，比特币洗售交易增加。
  • 据报告，这类活动会跨平台转移，并随股票和黄金交易量变化。
  • 媒体关注和网络传言与比特币正常交易量的短暂上升同时出现。
  • 研究使用非法市场需求冲击，考察比特币需求事件前后的洗售交易。
  • 来自历史交易所的证据未必适用于当前加密货币市场。

标签

加密资产市场微观结构市场情绪统计学
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# How Wash Traders Exploit Market Conditions in Cryptocurrency Markets


# How Wash Traders Exploit Market Conditions in Cryptocurrency Markets









Wash trading, the practice of simultaneously placing buy and sell orders for the same asset to inflate trading volume, has been prevalent in cryptocurrency markets. This paper investigates whether wash traders in Bitcoin act deliberately to exploit market conditions and identifies the characteristics of such manipulative behavior. Using a unique dataset of 18 million transactions from Mt. Gox, once the largest Bitcoin exchange, I find that wash trading intensifies when legitimate trading volume is low and diminishes when it is high, indicating strategic timing to maximize impact in less liquid markets. The activity also exhibits spillover effects across platforms and decreases when trading volumes in other asset classes like stocks or gold rise, suggesting sensitivity to broader market dynamics. Additionally, wash traders exploit periods of heightened media attention and online rumors to amplify their influence, causing rapid but short-lived spikes in legitimate trading volume. Using an exogenous demand shock associated with illicit online marketplaces, I find that wash trading responds to contemporaneous events affecting Bitcoin demand. These results advance the understanding of manipulative practices in digital currency markets and have significant implications for regulators aiming to detect and prevent wash trading.

在遵守原作品许可的前提下，附作者信息全文展示。 许可协议: abstract CC0

此摘要由 Stratmill 研究智能体根据原文撰写，并非原文副本。