Intraday Stock Prices, Volume, and Duration: A Nonparametric Conditional Duration Analysis

We investigate the distribution of high-frequency price changes, conditional on trading volume and duration between trades, on four stocks traded on the New York Stock Exchange. The conditional probabilities are estimated nonparametrically using local polynomial regression methods. We find substanti...

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Main Author: Tay, Anthony
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Language:English
Published: Institutional Knowledge at Singapore Management University 2005
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Online Access:https://ink.library.smu.edu.sg/soe_research/834
https://ink.library.smu.edu.sg/context/soe_research/article/1833/viewcontent/Intraday_Stock_Prices_Volume_and_Duration__A_Nonparametric_Cond.pdf
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spelling sg-smu-ink.soe_research-18332018-06-01T03:51:37Z Intraday Stock Prices, Volume, and Duration: A Nonparametric Conditional Duration Analysis Tay, Anthony We investigate the distribution of high-frequency price changes, conditional on trading volume and duration between trades, on four stocks traded on the New York Stock Exchange. The conditional probabilities are estimated nonparametrically using local polynomial regression methods. We find substantial skewness in the distribution of price changes, with the direction of skewness dependent on the sign of trade. We also find that the probability of larger price changes increases with volume, but only for trades that occur with longer durations. The distribution of price changes vary with duration primarily when volume is high. 2005-07-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/soe_research/834 https://ink.library.smu.edu.sg/context/soe_research/article/1833/viewcontent/Intraday_Stock_Prices_Volume_and_Duration__A_Nonparametric_Cond.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Economics eng Institutional Knowledge at Singapore Management University Econometrics
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Econometrics
spellingShingle Econometrics
Tay, Anthony
Intraday Stock Prices, Volume, and Duration: A Nonparametric Conditional Duration Analysis
description We investigate the distribution of high-frequency price changes, conditional on trading volume and duration between trades, on four stocks traded on the New York Stock Exchange. The conditional probabilities are estimated nonparametrically using local polynomial regression methods. We find substantial skewness in the distribution of price changes, with the direction of skewness dependent on the sign of trade. We also find that the probability of larger price changes increases with volume, but only for trades that occur with longer durations. The distribution of price changes vary with duration primarily when volume is high.
format text
author Tay, Anthony
author_facet Tay, Anthony
author_sort Tay, Anthony
title Intraday Stock Prices, Volume, and Duration: A Nonparametric Conditional Duration Analysis
title_short Intraday Stock Prices, Volume, and Duration: A Nonparametric Conditional Duration Analysis
title_full Intraday Stock Prices, Volume, and Duration: A Nonparametric Conditional Duration Analysis
title_fullStr Intraday Stock Prices, Volume, and Duration: A Nonparametric Conditional Duration Analysis
title_full_unstemmed Intraday Stock Prices, Volume, and Duration: A Nonparametric Conditional Duration Analysis
title_sort intraday stock prices, volume, and duration: a nonparametric conditional duration analysis
publisher Institutional Knowledge at Singapore Management University
publishDate 2005
url https://ink.library.smu.edu.sg/soe_research/834
https://ink.library.smu.edu.sg/context/soe_research/article/1833/viewcontent/Intraday_Stock_Prices_Volume_and_Duration__A_Nonparametric_Cond.pdf
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