The Effects of Decimalization on Return Volatility Components, Serial Correlation and Trading Costs
We examine the composition of return volatility, serial correlation, and trading costs before and after decimalization on the New York Stock Exchange. We decompose the variance of price changes into components associated with public news, rounding errors, and market-making frictions. We find that wh...
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2005
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sg-smu-ink.lkcsb_research-17872020-12-03T07:07:19Z The Effects of Decimalization on Return Volatility Components, Serial Correlation and Trading Costs HE, Yan WU, Chunchi We examine the composition of return volatility, serial correlation, and trading costs before and after decimalization on the New York Stock Exchange. We decompose the variance of price changes into components associated with public news, rounding errors, and market-making frictions. We find that when stocks move from a fractional to a decimal trading system, the variance components due to market-making frictions and rounding errors decline significantly, whereas the component due to public news remains unchanged. The serial correlation of price changes weakens substantially after decimalization. The uninformed component of bid-ask spreads decreases significantly whereas the informed component has no significant change. 2005-03-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/lkcsb_research/788 info:doi/10.1111/j.1475-6803.2005.00115.x https://ink.library.smu.edu.sg/context/lkcsb_research/article/1787/viewcontent/EffectsDecimalization_2005_av.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection Lee Kong Chian School Of Business eng Institutional Knowledge at Singapore Management University Business Finance and Financial Management |
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Business Finance and Financial Management HE, Yan WU, Chunchi The Effects of Decimalization on Return Volatility Components, Serial Correlation and Trading Costs |
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We examine the composition of return volatility, serial correlation, and trading costs before and after decimalization on the New York Stock Exchange. We decompose the variance of price changes into components associated with public news, rounding errors, and market-making frictions. We find that when stocks move from a fractional to a decimal trading system, the variance components due to market-making frictions and rounding errors decline significantly, whereas the component due to public news remains unchanged. The serial correlation of price changes weakens substantially after decimalization. The uninformed component of bid-ask spreads decreases significantly whereas the informed component has no significant change. |
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text |
author |
HE, Yan WU, Chunchi |
author_facet |
HE, Yan WU, Chunchi |
author_sort |
HE, Yan |
title |
The Effects of Decimalization on Return Volatility Components, Serial Correlation and Trading Costs |
title_short |
The Effects of Decimalization on Return Volatility Components, Serial Correlation and Trading Costs |
title_full |
The Effects of Decimalization on Return Volatility Components, Serial Correlation and Trading Costs |
title_fullStr |
The Effects of Decimalization on Return Volatility Components, Serial Correlation and Trading Costs |
title_full_unstemmed |
The Effects of Decimalization on Return Volatility Components, Serial Correlation and Trading Costs |
title_sort |
effects of decimalization on return volatility components, serial correlation and trading costs |
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Institutional Knowledge at Singapore Management University |
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2005 |
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https://ink.library.smu.edu.sg/lkcsb_research/788 https://ink.library.smu.edu.sg/context/lkcsb_research/article/1787/viewcontent/EffectsDecimalization_2005_av.pdf |
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