报价纠错模型中交易的影响

R. Engle, Andrew J. Patton
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引用次数: 153

摘要

本文分析并解释了100只纽交所股票在不同平均交易频率下的报价动态。我们为买入价和卖出价的对数差指定了一个错误修正模型,以价差作为错误修正项,并将在报价观察之间发生的交易特征(如果有的话)作为回归量。我们发现,短时间和中等交易量的交易对所有100只股票的报价影响最大,买方发起的交易主要影响卖出价,而卖方发起的交易主要影响买入价。交易对短期和长期报价的影响更大的是交易不频繁的股票,而不是交易更活跃的股票。最后,我们发现了一个强有力的证据,证明价差是均值回归的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Impacts of Trades in an Error-Correction Model of Quote Prices
In this paper we analyze and interpret the quote price dynamics of 100 NYSE stocks with varying average trade frequencies. We specify an error-correction model for the log difference of the bid and the ask price, with the spread acting as the error-correction term, and include as regressors the characteristics of the trades occurring between quote observations, if any. We find that short duration and medium volume trades have the largest impacts on quote prices for all one hundred stocks, and that buyer initiated trades primarily move the ask price while seller initiated trades primarily move the bid price. Trades have a greater impact on quotes in both the short and the long run for the infrequently traded stocks than for the more actively traded stocks. Finally, we find strong evidence that the spread is mean reverting.
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