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Modelling order arrivals at price limits using Hawkes processes

Listed author(s):
  • Haghighi, Afshin
  • Fallahpour, Saeid
  • Eyvazlu, Reza
Registered author(s):

    Some financial market regulators utilize a price limit mechanism. A number of past studies show that the price limit mechanism has a considerable impact on investors’ behaviour. The altered mechanism per se, and its impact on investors’ behaviour, change the order flow dynamics at price limit hits. We have proposed a model using Hawkes processes to model order arrivals when market dynamics switch to price limit hits. Goodness of fit tests showed that the model appropriately captures order arrival dynamics of intraday data from the Tehran Securities Exchange (TSE), which is a volatile market with narrow banded price limits (±4).

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    File URL: http://www.sciencedirect.com/science/article/pii/S1544612316301490
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    Article provided by Elsevier in its journal Finance Research Letters.

    Volume (Year): 19 (2016)
    Issue (Month): C ()
    Pages: 267-272

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    Handle: RePEc:eee:finlet:v:19:y:2016:i:c:p:267-272
    DOI: 10.1016/j.frl.2016.08.012
    Contact details of provider: Web page: http://www.elsevier.com/locate/frl

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    1. Hsieh, Ping-Hung & Kim, Yong H. & Yang, J. Jimmy, 2009. "The magnet effect of price limits: A logit approach," Journal of Empirical Finance, Elsevier, vol. 16(5), pages 830-837, December.
    2. Toke, Ioane Muni & Pomponio, Fabrizio, 2012. "Modelling trades-through in a limit order book using hawkes processes," Economics - The Open-Access, Open-Assessment E-Journal, Kiel Institute for the World Economy (IfW), vol. 6, pages 1-23.
    3. Emmanuel Bacry & Iacopo Mastromatteo & Jean-Fran\c{c}ois Muzy, 2015. "Hawkes processes in finance," Papers 1502.04592, arXiv.org, revised May 2015.
    4. Bowsher, Clive G., 2007. "Modelling security market events in continuous time: Intensity based, multivariate point process models," Journal of Econometrics, Elsevier, vol. 141(2), pages 876-912, December.
    5. Cho, David D. & Russell, Jeffrey & Tiao, George C. & Tsay, Ruey, 2003. "The magnet effect of price limits: evidence from high-frequency data on Taiwan Stock Exchange," Journal of Empirical Finance, Elsevier, vol. 10(1-2), pages 133-168, February.
    6. Daphne Yan Du & Qianqiu Liu & S. Ghon Rhee, 2009. "An Analysis of the Magnet Effect under Price Limits-super-," International Review of Finance, International Review of Finance Ltd., vol. 9(1-2), pages 83-110.
    7. Ioane Muni Toke & Fabrizio Pomponio, 2012. "Modelling Trades-Through in a Limit Order Book Using Hawkes Processes," Post-Print hal-00745554, HAL.
    8. Kim, Kenneth A. & Limpaphayom, Piman, 2000. "Characteristics of stocks that frequently hit price limits: Empirical evidence from Taiwan and Thailand," Journal of Financial Markets, Elsevier, vol. 3(3), pages 315-332, August.
    9. David Abad & Roberto Pascual, 2007. "On the Magnet Effect of Price Limits," European Financial Management, European Financial Management Association, vol. 13(5), pages 833-852.
    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. Chou, Pin-Huang & Lin, Mei-Chen & Yu, Min-Teh, 2005. "Risk aversion and price limits in futures markets," Finance Research Letters, Elsevier, vol. 2(3), pages 173-184, September.
    12. Emmanuel Bacry & Jean-François Muzy, 2014. "Hawkes model for price and trades high-frequency dynamics," Quantitative Finance, Taylor & Francis Journals, vol. 14(7), pages 1147-1166, July.
    13. Ng, Wing Lon, 2008. "Modeling duration clusters with dynamic copulas," Finance Research Letters, Elsevier, vol. 5(2), pages 96-103, June.
    14. Henke, Harald & Voronkova, Svitlana, 2005. "Price limits on a call auction market: Evidence from the Warsaw Stock Exchange," International Review of Economics & Finance, Elsevier, vol. 14(4), pages 439-453.
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