Information loss in volatility measurement with flat price trading

A model of financial asset price determination is proposed that incorporates flat trading features into an efficient price process. The model involves the superposition of a Brownian semimartingale process for the effcient price and a Bernoulli process that determines the extent of price trading. Th...

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Main Authors: PHILLIPS, Peter C. B., YU, Jun
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Language:English
Published: Institutional Knowledge at Singapore Management University 2023
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Online Access:https://ink.library.smu.edu.sg/soe_research/1264
https://ink.library.smu.edu.sg/context/soe_research/article/2263/viewcontent/SSRN_id954571.pdf
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spelling sg-smu-ink.soe_research-22632022-12-21T05:11:09Z Information loss in volatility measurement with flat price trading PHILLIPS, Peter C. B. YU, Jun A model of financial asset price determination is proposed that incorporates flat trading features into an efficient price process. The model involves the superposition of a Brownian semimartingale process for the effcient price and a Bernoulli process that determines the extent of price trading. The approach is related to sticky price modeling and the Calvo pricing mechanism in macroeconomic dynamics. A limit theory for the conventional realized volatility (RV) measure of integrated volatility is developed. The results show that RV is still consistent but has an inflated asymptotic variance that depends on the probability of flat trading. Estimated quarticity is similarly affected, so that both the feasible central limit theorem and the inferential framework suggested in Barndorff-Nielson and Shephard (2002) remain valid under flat price trading even though there is information loss due to flat trading effects. The results are related to work by Jacod (1993) and Mykland and Zhang (2006) on realized volatility measures with random and intermittent sampling, and to ACD models for irregularly spaced transactions data. Extensions are given to include models with microstructure noise. Some simulation results are reported. Empirical evaluations with tick-by-tick data indicate that the effect of flat trading on the limit theory under microstructure noise is likely to be minor in most cases, thereby affirming the relevance of existing approaches. 2023-11-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/soe_research/1264 https://ink.library.smu.edu.sg/context/soe_research/article/2263/viewcontent/SSRN_id954571.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Economics eng Institutional Knowledge at Singapore Management University Bernoulli process Brownian Semimartingale Calvo pricing Flat trading Microstructurenoise Quarticity function Realied volatility Stopping times Finance
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Bernoulli process
Brownian Semimartingale
Calvo pricing
Flat trading
Microstructurenoise
Quarticity function
Realied volatility
Stopping times
Finance
spellingShingle Bernoulli process
Brownian Semimartingale
Calvo pricing
Flat trading
Microstructurenoise
Quarticity function
Realied volatility
Stopping times
Finance
PHILLIPS, Peter C. B.
YU, Jun
Information loss in volatility measurement with flat price trading
description A model of financial asset price determination is proposed that incorporates flat trading features into an efficient price process. The model involves the superposition of a Brownian semimartingale process for the effcient price and a Bernoulli process that determines the extent of price trading. The approach is related to sticky price modeling and the Calvo pricing mechanism in macroeconomic dynamics. A limit theory for the conventional realized volatility (RV) measure of integrated volatility is developed. The results show that RV is still consistent but has an inflated asymptotic variance that depends on the probability of flat trading. Estimated quarticity is similarly affected, so that both the feasible central limit theorem and the inferential framework suggested in Barndorff-Nielson and Shephard (2002) remain valid under flat price trading even though there is information loss due to flat trading effects. The results are related to work by Jacod (1993) and Mykland and Zhang (2006) on realized volatility measures with random and intermittent sampling, and to ACD models for irregularly spaced transactions data. Extensions are given to include models with microstructure noise. Some simulation results are reported. Empirical evaluations with tick-by-tick data indicate that the effect of flat trading on the limit theory under microstructure noise is likely to be minor in most cases, thereby affirming the relevance of existing approaches.
format text
author PHILLIPS, Peter C. B.
YU, Jun
author_facet PHILLIPS, Peter C. B.
YU, Jun
author_sort PHILLIPS, Peter C. B.
title Information loss in volatility measurement with flat price trading
title_short Information loss in volatility measurement with flat price trading
title_full Information loss in volatility measurement with flat price trading
title_fullStr Information loss in volatility measurement with flat price trading
title_full_unstemmed Information loss in volatility measurement with flat price trading
title_sort information loss in volatility measurement with flat price trading
publisher Institutional Knowledge at Singapore Management University
publishDate 2023
url https://ink.library.smu.edu.sg/soe_research/1264
https://ink.library.smu.edu.sg/context/soe_research/article/2263/viewcontent/SSRN_id954571.pdf
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