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Flexible price limits: The case of Tokyo Stock Exchange

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  • Deb, Saikat Sovan
  • Kalev, Petko S.
  • Marisetty, Vijaya B.

Abstract

Daily price limits are criticized for their role in disrupting price adjustment process. We propose a flexible price limits mechanism as an alternative to daily price limit rules. First, we identify volatility spill-over and consecutive price limit hits as the source for disrupting informed trading. Later, we propose flexible price limits that can be implemented by using predicted probability of volatility spill-over and consecutive price limit hits. We provide empirical evidence in support of flexible price limits’ efficiency by using 5 years intra-day data of stocks listed on the Tokyo Stock Exchange.

Suggested Citation

  • Deb, Saikat Sovan & Kalev, Petko S. & Marisetty, Vijaya B., 2013. "Flexible price limits: The case of Tokyo Stock Exchange," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 24(C), pages 66-84.
  • Handle: RePEc:eee:intfin:v:24:y:2013:i:c:p:66-84
    DOI: 10.1016/j.intfin.2012.11.002
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    References listed on IDEAS

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    1. Chakravarty, Sugato, 2001. "Stealth-trading: Which traders' trades move stock prices?," Journal of Financial Economics, Elsevier, vol. 61(2), pages 289-307, August.
    2. Ľuboš Pástor & Veronesi Pietro, 2003. "Stock Valuation and Learning about Profitability," Journal of Finance, American Finance Association, vol. 58(5), pages 1749-1789, October.
    3. Lubos PÁstor & Veronesi Pietro, 2003. "Stock Valuation and Learning about Profitability," Journal of Finance, American Finance Association, vol. 58(5), pages 1749-1790, October.
    4. Lee, Charles M C & Ready, Mark J, 1991. "Inferring Trade Direction from Intraday Data," Journal of Finance, American Finance Association, vol. 46(2), pages 733-746, June.
    5. George, Thomas J. & Hwang, Chuan-Yang, 1995. "Transitory Price Changes and Price-Limit Rules: Evidence from the Tokyo Stock Exchange," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 30(2), pages 313-327, June.
    6. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    7. Miller, M.H., 1989. "Commentary: Volatility, Prices Resolution, And Effectiveness Of Price Limits," Papers t8, Columbia - Center for Futures Markets.
    8. Recep Bildik & Selim Elekdag, 2004. "Effects of Price Limits on Volatility: Evidence from the Istanbul Stock Exchange," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 40(1), pages 5-34, January.
    9. Kate Phylaktis & Manolis Kavussanos & Gikas Manalis, 1999. "Price Limits and Stock Market Volatility in the Athens Stock Exchange," European Financial Management, European Financial Management Association, vol. 5(1), pages 69-84, March.
    10. Kim, Kenneth & Rhee, S Ghon, 1997. "Price Limit Performance: Evidence from the Tokyo Stock Exchange," Journal of Finance, American Finance Association, vol. 52(2), pages 885-899, June.
    11. Anat R. Admati, Paul Pfleiderer, 1988. "A Theory of Intraday Patterns: Volume and Price Variability," The Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 3-40.
    12. Barclay, Michael J. & Warner, Jerold B., 1993. "Stealth trading and volatility : Which trades move prices?," Journal of Financial Economics, Elsevier, vol. 34(3), pages 281-305, December.
    13. Lehmann, B.N., 1989. "Commentary: Volatility, Price Resolution, And The Effectiveness Of Price Limits," Papers t9, Columbia - Center for Futures Markets.
    14. Deb, Saikat Sovan & Kalev, Petko S. & Marisetty, Vijaya B., 2010. "Are price limits really bad for equity markets?," Journal of Banking & Finance, Elsevier, vol. 34(10), pages 2462-2471, October.
    15. Anand, Amber & Chakravarty, Sugato, 2007. "Stealth Trading in Options Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 42(1), pages 167-187, March.
    16. Kang, Moonsoo, 2010. "Probability of information-based trading and the January effect," Journal of Banking & Finance, Elsevier, vol. 34(12), pages 2985-2994, December.
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    Cited by:

    1. Li, Huimin & Zheng, Dazhi & Chen, Jun, 2014. "Effectiveness, cause and impact of price limit—Evidence from China's cross-listed stocks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 29(C), pages 217-241.
    2. Seza Danışoğlu & Z. Nuray Güner, 2018. "Do price limits help control stock price volatility?," Annals of Operations Research, Springer, vol. 260(1), pages 129-157, January.
    3. Imtiaz Mohammad Sifat & Azhar Mohamad, 2019. "Circuit breakers as market stability levers: A survey of research, praxis, and challenges," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 24(3), pages 1130-1169, July.
    4. Donald Lien & Pi-Hsia Hung & Chiu-Ting Pan, 2020. "Price limit changes, order decisions, and stock price movements: an empirical analysis of the Taiwan Stock Exchange," Review of Quantitative Finance and Accounting, Springer, vol. 55(1), pages 239-268, July.

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    More about this item

    Keywords

    Daily price limits; Volatility spill-over; Consecutive price limit hit;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation
    • G19 - Financial Economics - - General Financial Markets - - - Other

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