IDEAS home Printed from https://ideas.repec.org/a/eee/beexfi/v20y2018icp1-8.html
   My bibliography  Save this article

Trading aggression when price limit hits are imminent: NARDL based intraday investigation of magnet effect

Author

Listed:
  • Sifat, Imtiaz Mohammad
  • Mohamad, Azhar

Abstract

Utilizing an experimental Non-linear ARDL technique (NARDL), this paper tests an ex-ante hypothesized side-effect of financial market circuit breakers called the magnet effect. The hypothesis states that, in large price swing scenarios, circuit breakers (limits or halts), by their very existence, invite trading activities toward themselves in a way that the prophecy of the trigger is fulfilled. Most empirical works testing this effect hail from East Asian exchanges, which typically employ a tight price band. Our empirical venue, Bursa Malaysia, is a marked exception, sticking to a ±30% limit since 1989. Employing high-frequency (millisecond) proprietary intraday data from 2015 to 2017, we examine the magnet effect through order aggression and price velocity as the possibility of a limit draws closer. We find evidence of moderate magnet effect for most stocks, suggesting accelerated trading activities proportionate to likelihood of a limit-hit. The effect is more pronounced for lower limit stocks. Interestingly, several upper limit scenarios also exhibit the opposite of magnet effect: the repellent effect, suggesting investors recoil from trading when a limit-hit appears imminent. We discuss several regulatory, industry, and academic implications of our findings.

Suggested Citation

  • Sifat, Imtiaz Mohammad & Mohamad, Azhar, 2018. "Trading aggression when price limit hits are imminent: NARDL based intraday investigation of magnet effect," Journal of Behavioral and Experimental Finance, Elsevier, vol. 20(C), pages 1-8.
  • Handle: RePEc:eee:beexfi:v:20:y:2018:i:c:p:1-8
    DOI: 10.1016/j.jbef.2018.01.007
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S221463501830025X
    Download Restriction: no

    File URL: https://libkey.io/10.1016/j.jbef.2018.01.007?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Robert I. Webb & Anthony D. Hall & Paul Kofman, 2001. "Limits to linear price behavior: futures prices regulated by limits," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 21(5), pages 463-488, May.
    2. 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.
    3. Huang, Yen-Sheng & Fu, Tze-Wei & Ke, Mei-Chu, 2001. "Daily price limits and stock price behavior: evidence from the Taiwan stock exchange," International Review of Economics & Finance, Elsevier, vol. 10(3), pages 263-288, July.
    4. Recep Bildik & Güzhan Gülay, 2006. "Are Price Limits Effective? Evidence From The Istanbul Stock Exchange," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 29(3), pages 383-403, September.
    5. Daphne Yan Du & Qianqiu Liu & S. Ghon Rhee, 2009. "An Analysis of the Magnet Effect under Price Limits," International Review of Finance, International Review of Finance Ltd., vol. 9(1‐2), pages 83-110, March.
    6. Wu, Ting & Wang, Yue & Li, Ming-Xia, 2017. "Post-hit dynamics of price limit hits in the Chinese stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 464-471.
    7. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    8. James Brugler & Oliver Linton, 2014. "Circuit Breakers on the London Stock Exchange: Do they improve subsequent market quality?," Cambridge Working Papers in Economics 1453, Faculty of Economics, University of Cambridge.
    9. Yu-Lei Wan & Wen-Jie Xie & Gao-Feng Gu & Zhi-Qiang Jiang & Wei Chen & Xiong Xiong & Wei Zhang & Wei-Xing Zhou, 2015. "Statistical Properties and Pre-Hit Dynamics of Price Limit Hits in the Chinese Stock Markets," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-20, April.
    10. Henk Berkman & Onno W. Steenbeek, 1998. "The influence of daily price limits on trading in Nikkei futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 18(3), pages 265-279, May.
    11. Katrakilidis, Constantinos & Trachanas, Emmanouil, 2012. "What drives housing price dynamics in Greece: New evidence from asymmetric ARDL cointegration," Economic Modelling, Elsevier, vol. 29(4), pages 1064-1069.
    12. Subrahmanyam, Avanidhar, 1994. "Circuit Breakers and Market Volatility: A Theoretical Perspective," Journal of Finance, American Finance Association, vol. 49(1), pages 237-254, March.
    13. 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.
    14. Marcelle Arak & Richard Cook, 1997. "Do Daily Price Limits Act as Magnets? The Case of Treasury Bond Futures," Journal of Financial Services Research, Springer;Western Finance Association, vol. 12(1), pages 5-20, August.
    15. Xiaotao Zhang & Jing Ping & Tao Zhu & Yuelei Li & Xiong Xiong, 2016. "Are Price Limits Effective? An Examination of an Artificial Stock Market," PLOS ONE, Public Library of Science, vol. 11(8), pages 1-21, August.
    16. James Brugler & Oliver Linton, 2014. "Single stock circuit breakers on the London Stock Exchange: do they improve subsequent market quality?," CeMMAP working papers CWP07/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    17. Levy, Tamir & Qadan, Mahmod & Yagil, Joseph, 2013. "Predicting the limit-hit frequency in futures contracts," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 141-148.
    18. Goldstein, Michael A. & Kavajecz, Kenneth A., 2004. "Trading strategies during circuit breakers and extreme market movements," Journal of Financial Markets, Elsevier, vol. 7(3), pages 301-333, June.
    19. 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, November.
    20. Vega, Clara, 2006. "Stock price reaction to public and private information," Journal of Financial Economics, Elsevier, vol. 82(1), pages 103-133, October.
    21. Chan, Soon Huat & Kim, Kenneth A. & Rhee, S. Ghon, 2005. "Price limit performance: evidence from transactions data and the limit order book," Journal of Empirical Finance, Elsevier, vol. 12(2), pages 269-290, March.
    22. Wong, Woon K. & Chang, Matthew C. & Tu, Anthony H., 2009. "Are magnet effects caused by uninformed traders? Evidence from Taiwan Stock Exchange," Pacific-Basin Finance Journal, Elsevier, vol. 17(1), pages 28-40, January.
    23. Subrahmanyam, Avanidhar, 1997. "The ex ante effects of trade halting rules on informed trading strategies and market liquidity," Review of Financial Economics, Elsevier, vol. 6(1), pages 1-14.
    24. Kenneth A. Kim & Haixiao Liu & J. Jimmy Yang, 2013. "Reconsidering Price Limit Effectiveness," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 36(4), pages 493-518, December.
    25. Subrahmanyam, Avanidhar, 1995. "On rules versus discretion in procedures to halt trade," Journal of Economics and Business, Elsevier, vol. 47(1), pages 1-16, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mohammad Zare & Omid Naghshineh Arjmand & Erfan Salavati & Adel Mohammadpour, 2021. "An Agent‐Based model for Limit Order Book: Estimation and simulation," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 1112-1121, January.
    2. Zhang, Xiaotao & Li, Xinxian & Hao, Jing & Li, Peigong, 2023. "Price limit change and magnet effect: The role of investor attention," Finance Research Letters, Elsevier, vol. 53(C).
    3. Sifat, Imtiaz Mohammad & Mohamad, Azhar, 2020. "A survey on the magnet effect of circuit breakers in financial markets," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 138-151.
    4. 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.
    5. Ji, Jingru & Wang, Donghua & Xu, Dinghai & Xu, Chi, 2020. "Combining a self-exciting point process with the truncated generalized Pareto distribution: An extreme risk analysis under price limits," Journal of Empirical Finance, Elsevier, vol. 57(C), pages 52-70.
    6. Hao Li & Zhisheng Li, 2022. "The effect of daily price limits on stock liquidity: Evidence from the Chinese stock market," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(5), pages 4885-4917, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Sifat, Imtiaz Mohammad & Mohamad, Azhar, 2020. "A survey on the magnet effect of circuit breakers in financial markets," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 138-151.
    3. Zhang, Xiaotao & Li, Xinxian & Hao, Jing & Li, Peigong, 2023. "Price limit change and magnet effect: The role of investor attention," Finance Research Letters, Elsevier, vol. 53(C).
    4. Zhihong Jian & Zhican Zhu & Jie Zhou & Shuai Wu, 2018. "The Magnet Effect of Circuit Breakers: A role of price jumps and market liquidity," Departmental Working Papers 2018-01, The University of Winnipeg, Department of Economics.
    5. Jian, Zhihong & Zhu, Zhican & Zhou, Jie & Wu, Shuai, 2020. "Intraday price jumps, market liquidity, and the magnet effect of circuit breakers," International Review of Economics & Finance, Elsevier, vol. 70(C), pages 168-186.
    6. Wang, Steven Shuye & Xu, Kuan & Zhang, Hao, 2019. "A microstructure study of circuit breakers in the Chinese stock markets," Pacific-Basin Finance Journal, Elsevier, vol. 57(C).
    7. Wu, Ting & Wang, Yue & Li, Ming-Xia, 2018. "Price performance following stock’s IPO in different price limit systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 953-966.
    8. Wong, Woon K. & Liu, Bo & Zeng, Yong, 2009. "Can price limits help when the price is falling? Evidence from transactions data on the Shanghai Stock Exchange," China Economic Review, Elsevier, vol. 20(1), pages 91-102, March.
    9. Gao-Feng Gu & Xiong Xiong & Hai-Chuan Xu & Wei Zhang & Yongjie Zhang & Wei Chen & Wei-Xing Zhou, 2021. "An empirical behavioral order-driven model with price limit rules," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-24, December.
    10. James Brugler & Oliver Linton, 2014. "Circuit Breakers on the London Stock Exchange: Do they improve subsequent market quality?," Cambridge Working Papers in Economics 1453, Faculty of Economics, University of Cambridge.
    11. James Brugler & Oliver Linton, 2014. "Single stock circuit breakers on the London Stock Exchange: do they improve subsequent market quality?," CeMMAP working papers CWP07/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    12. 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.
    13. Ya-Kai Chang & Che-Jui Chang, 2021. "The Magnet Effect Under Relaxed Daily Price Limits: Evidence From Taiwan," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 15(1), pages 33-44.
    14. 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.
    15. Wu, Ting & Wang, Yue & Li, Ming-Xia, 2017. "Post-hit dynamics of price limit hits in the Chinese stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 464-471.
    16. Ming-Chang Wang & Yu-Jia Ding & Pei-Han Hsin, 2018. "Order Aggressiveness and the Heating and Cooling-off Effects of Price Limits: Evidence from Taiwan Stock Exchange," Journal of Economics and Management, College of Business, Feng Chia University, Taiwan, vol. 14(2), pages 191-216, August.
    17. Leal, Sandrine Jacob & Napoletano, Mauro, 2019. "Market stability vs. market resilience: Regulatory policies experiments in an agent-based model with low- and high-frequency trading," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 15-41.
    18. Yu-Lei Wan & Wen-Jie Xie & Gao-Feng Gu & Zhi-Qiang Jiang & Wei Chen & Xiong Xiong & Wei Zhang & Wei-Xing Zhou, 2015. "Statistical Properties and Pre-Hit Dynamics of Price Limit Hits in the Chinese Stock Markets," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-20, April.
    19. 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.
    20. repec:hal:spmain:info:hdl:2441/6ummnc8nko827b2luohnctekk7 is not listed on IDEAS
    21. Du, Yan & Liu, Qianqiu & Rhee, S. Ghon, 2006. "An Anatomy of the Magnet Effect: Evidence from the Korea Stock Exchange High-Frequency Data," CEI Working Paper Series 2005-17, Center for Economic Institutions, Institute of Economic Research, Hitotsubashi University.

    More about this item

    Keywords

    Circuit breakers; Price limits; Trading halts; Malaysia; Magnet effect; NARDL;
    All these keywords.

    JEL classification:

    • D43 - Microeconomics - - Market Structure, Pricing, and Design - - - Oligopoly and Other Forms of Market Imperfection
    • D47 - Microeconomics - - Market Structure, Pricing, and Design - - - Market Design
    • D53 - Microeconomics - - General Equilibrium and Disequilibrium - - - Financial Markets

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:beexfi:v:20:y:2018:i:c:p:1-8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/journal-of-behavioral-and-experimental-finance .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.