Using High-Frequency Transaction Data to Estimate the Probability of Informed Trading

This paper applies the asymmetric autoregressive conditional duration (AACD) model of Bauwens and Giot (2003) to estimate the probability of informed trading (PIN) using irregularly spaced transaction data. We model trade direction (buy versus sell orders) and the duration between trades jointly. Un...

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Bibliographic Details
Main Authors: Tay, Anthony S., Ting, Christopher, TSE, Yiu Kuen, WARACHKA, Mitchell Craig
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2009
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Online Access:https://ink.library.smu.edu.sg/lkcsb_research/1900
https://ink.library.smu.edu.sg/context/lkcsb_research/article/2899/viewcontent/tseyiukuen_HighFreqTransDataInformedTrading.pdf
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Institution: Singapore Management University
Language: English

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