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The Effects Of Decimalization On Return Volatility Components, Serial Correlation, And Trading Costs

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  • Yan He
  • Chunchi Wu

Abstract

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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  • Yan He & Chunchi Wu, 2005. "The Effects Of Decimalization On Return Volatility Components, Serial Correlation, And Trading Costs," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 28(1), pages 77-96, March.
    • Handle: RePEc:bla:jfnres:v:28:y:2005:i:1:p:77-96
    DOI: 10.1111/j.1475-6803.2005.00115.x
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    Cited by:

    1. Jin-Huei Yeh & Jying-Nan Wang & Chung-Ming Kuan, 2014. "A noise-robust estimator of volatility based on interquantile ranges," Review of Quantitative Finance and Accounting, Springer, vol. 43(4), pages 751-779, November.
    2. Francis, Jennifer & Nanda, Dhananjay & Wang, Xin, 2006. "Re-examining the effects of regulation fair disclosure using foreign listed firms to control for concurrent shocks," Journal of Accounting and Economics, Elsevier, vol. 41(3), pages 271-292, September.
    3. Vuorenmaa, Tommi A., 2008. "Decimalization, Realized Volatility, and Market Microstructure Noise," MPRA Paper 8692, University Library of Munich, Germany.
    4. Thanos Verousis & Pietro Perotti & Georgios Sermpinis, 2018. "One size fits all? High frequency trading, tick size changes and the implications for exchanges: market quality and market structure considerations," Review of Quantitative Finance and Accounting, Springer, vol. 50(2), pages 353-392, February.
    5. Blau, Benjamin M., 2018. "Exchange rate volatility and the stability of stock prices," International Review of Economics & Finance, Elsevier, vol. 58(C), pages 299-311.
    6. Yan He & Hai Lin & Chunchi Wu & Uric B. Dufrene, 2013. "The 2000 presidential election and the information cost of sensitive versus," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    7. He, Yan & Lin, Hai & Wu, Chunchi & Dufrene, Uric B., 2009. "The 2000 presidential election and the information cost of sensitive versus non-sensitive S&P 500 stocks," Journal of Financial Markets, Elsevier, vol. 12(1), pages 54-86, February.
    8. repec:wyi:journl:002085 is not listed on IDEAS
    9. Bill Hu & Joon Ho Hwang & Christine Jiang, 2014. "The Impact of Earnings Guidance Cessation on Information Asymmetry," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 41(1-2), pages 73-99, January.

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