Transaction-data analysis of marked durations and their implications for market microstructure

• Main Authors: TAY, Anthony S., TING, Christopher, TSE, Yiu Kuen, Warachka, Mitchell
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2004
• Subjects: Autoregressive Conditional Duration; Market Microstructure; Informed Trading; Econometrics; Finance; Finance and Financial Management
• Online Access: https://ink.library.smu.edu.sg/lkcsb_research/2373; https://ink.library.smu.edu.sg/context/lkcsb_research/article/3372/viewcontent/TransactionDataAnalMarkedDurations_2004_wp.pdf
• Institution: Singapore Management University

We propose an Autoregressive Conditional Marked Duration (ACMD) model for the analysis of irregularly spaced transaction data. Based on the Autoregressive Conditional Duration (ACD) model, the ACMD model assigns marks to characterize events such as tick movements and trade directions (buy/sell). App...