Distribution Choice for the Asymmetric ACD Models

K. Bień-Barkowska
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引用次数: 6

Abstract

In the paper, I generalize the Asymmetric Autoregressive Conditional Duration (AACD) model proposed by Bauwens and Giot (2003) with respect to the generalized gamma and the Burr distribution for an error term. I derive the log likelihood functions for the augmented models and show how to check the goodness-of-fit of the distributional assumptions with the application of the probability integral transforms proposed by Diebold, Gunther and Tay (1998). Moreover, I present an exemplary empirical application of the Asymmetric ACD model for the durations between submissions of market or best limit orders on the interbank trading platform for the Polish zloty. I test the impact of selected market microstructure factors (i.e. the bid-ask spread, volatility) on the time of order submissions.
非对称ACD模型的分布选择
在本文中,我推广了由Bauwens和Giot(2003)提出的关于误差项的广义伽玛和Burr分布的非对称自回归条件持续时间(AACD)模型。我推导了增广模型的对数似然函数,并展示了如何使用Diebold, Gunther和Tay(1998)提出的概率积分变换来检查分布假设的拟合优度。此外,我提出了非对称ACD模型在波兰兹罗提银行间交易平台上提交市场或最佳限价订单之间的持续时间的典型实证应用。我测试了选定的市场微观结构因素(即买卖价差,波动性)对订单提交时间的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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