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Short Sales, Long Sales, and the Lee-Ready Trade Classification Algorithm Revisited

机译:短期销售,长期销售和Lee-Ready贸易分类算法重新审视

摘要

Asquith, Oman, and Safaya (2010) conclude that short sales are often misclassified by the Lee-Ready algorithm. The algorithm identifies most short sales as buyer-initiated, whereas the authors posit that short sales should be overwhelmingly seller-initiated. Using order data to identify true trade initiator, we document that short sales are, in fact, predominantly buyer-initiated and that the Lee-Ready algorithm correctly classifies most of them. Misclassification rates for short and long sales are near zero at the daily level. At the trade level, misclassification rates are 31% using contemporaneous quotes and trades and decline to 21% when quotes are lagged one second.
机译:Asquith,Oman和Safaya(2010)得出结论,卖空交易经常被Lee-Ready算法错误分类。该算法将大多数卖空识别为买方发起,而作者认为卖空应绝大多数由卖方发起。使用订单数据来识别真正的交易发起人,我们证明卖空实际上是由买方发起的,并且Lee-Ready算法正确地将其中的大多数分类。在每日水平上,短期和长期销售的错误分类率几乎为零。在交易级别,使用同时报价和交易的误分类率是31%,而在报价滞后一秒时,错误分类率会下降到21%。

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