[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/p/col/000122/016943.html
   My bibliography  Save this paper

Measuring the effectiveness of volatility auctions

Author

Listed:
  • Diego A. Agudelo
  • Sergio Preciado
  • Carlos Castro
Abstract
We propose a method for event studies based on synthetic portfolios that provides a robust data-driven approach to build a credible counterfactual. The method is used to evaluate the effectiveness of volatility auctions using intraday data from the Colombian Stock Exchange. The results indicate that the synthetic portfolio method provides an accurate way to build a credible counterfactual that approximates the behavior of the asset if the auction had not taken place. The main results indicate that the volatility auction mitigates the volatility of the asset, but its effect on liquidity and trading activity is ambiguous at best.

Suggested Citation

  • Diego A. Agudelo & Sergio Preciado & Carlos Castro, 2018. "Measuring the effectiveness of volatility auctions," Documentos de Trabajo de Valor Público 16943, Universidad EAFIT.
    • Handle: RePEc:col:000122:016943
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10784/13127
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lee, Charles M C & Ready, Mark J & Seguin, Paul J, 1994. "Volume, Volatility, and New York Stock Exchange Trading Halts," Journal of Finance, American Finance Association, vol. 49(1), pages 183-214, March.
    2. David Abad & Roberto Pascual, 2010. "Switching To A Temporary Call Auction In Times Of High Uncertainty," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 33(1), pages 45-75, March.
    3. Acemoglu, Daron & Johnson, Simon & Kermani, Amir & Kwak, James & Mitton, Todd, 2016. "The value of connections in turbulent times: Evidence from the United States," Journal of Financial Economics, Elsevier, vol. 121(2), pages 368-391.
    4. Subrahmanyam, Avanidhar, 1994. "Circuit Breakers and Market Volatility: A Theoretical Perspective," Journal of Finance, American Finance Association, vol. 49(1), pages 237-254, March.
    5. William G. Christie & Shane A. Corwin & Jeffrey H. Harris, 2002. "Nasdaq Trading Halts: The Impact of Market Mechanisms on Prices, Trading Activity, and Execution Costs," Journal of Finance, American Finance Association, vol. 57(3), pages 1443-1478, June.
    6. Comerton-Forde, Carole, 1999. "Do trading rules impact on market efficiency? A comparison of opening procedures on the Australian and Jakarta Stock Exchanges," Pacific-Basin Finance Journal, Elsevier, vol. 7(5), pages 495-521, December.
    7. Massimo Guidolin & Eliana La Ferrara, 2007. "Diamonds Are Forever, Wars Are Not: Is Conflict Bad for Private Firms?," American Economic Review, American Economic Association, vol. 97(5), pages 1978-1993, December.
    8. Roll, Richard, 1984. "A Simple Implicit Measure of the Effective Bid-Ask Spread in an Efficient Market," Journal of Finance, American Finance Association, vol. 39(4), pages 1127-1139, September.
    9. Guido W. Imbens, 2015. "Matching Methods in Practice: Three Examples," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 373-419.
    10. Glosten, Lawrence R. & Milgrom, Paul R., 1985. "Bid, ask and transaction prices in a specialist market with heterogeneously informed traders," Journal of Financial Economics, Elsevier, vol. 14(1), pages 71-100, March.
    11. Avanidhar Subrahmanyam, 2013. "Algorithmic trading, the Flash Crash, and coordinated circuit breakers," Borsa Istanbul Review, Research and Business Development Department, Borsa Istanbul, vol. 13(3), pages 4-9, September.
    12. Purnendu Nath, 2005. "Are Price Limits Always Bad?," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 4(3), pages 281-313, December.
    13. Greenwald, Bruce C & Stein, Jeremy C, 1991. "Transactional Risk, Market Crashes, and the Role of Circuit Breakers," The Journal of Business, University of Chicago Press, vol. 64(4), pages 443-462, October.
    14. Kim, Yong H. & Yagüe, José & Yang, J. Jimmy, 2008. "Relative performance of trading halts and price limits: Evidence from the Spanish Stock Exchange," International Review of Economics & Finance, Elsevier, vol. 17(2), pages 197-215.
    15. A. Craig MacKinlay, 1997. "Event Studies in Economics and Finance," Journal of Economic Literature, American Economic Association, vol. 35(1), pages 13-39, March.
    16. Juan C. Reboredo, 2012. "The switch from continuous to call auction trading in response to a large intraday price movement," Applied Economics, Taylor & Francis Journals, vol. 44(8), pages 945-967, March.
    17. Frino, Alex & Lecce, Steven & Segara, Reuben, 2011. "The impact of trading halts on liquidity and price volatility: Evidence from the Australian Stock Exchange," Pacific-Basin Finance Journal, Elsevier, vol. 19(3), pages 298-307, June.
    18. Goyenko, Ruslan Y. & Holden, Craig W. & Trzcinka, Charles A., 2009. "Do liquidity measures measure liquidity?," Journal of Financial Economics, Elsevier, vol. 92(2), pages 153-181, May.
    19. Madhavan, Ananth, 1992. "Trading Mechanisms in Securities Markets," Journal of Finance, American Finance Association, vol. 47(2), pages 607-641, June.
    20. Agarwalla, Sobhesh Kumar & Jacob, Joshy & Pandey, Ajay, 2015. "Impact of the introduction of call auction on price discovery: Evidence from the Indian stock market using high-frequency data," International Review of Financial Analysis, Elsevier, vol. 39(C), pages 167-178.
    21. Bekaert, Geert & Harvey, Campbell R., 2002. "Research in emerging markets finance: looking to the future," Emerging Markets Review, Elsevier, vol. 3(4), pages 429-448, December.
    22. Abadie, Alberto & Diamond, Alexis & Hainmueller, Jens, 2010. "Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program," Journal of the American Statistical Association, American Statistical Association, vol. 105(490), pages 493-505.
    23. Greenwald, Bruce C & Stein, Jeremy, 1988. "The Task Force Report: The Reasoning behind the Recommendations," Journal of Economic Perspectives, American Economic Association, vol. 2(3), pages 3-23, Summer.
    24. 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.
    25. Jiang, Christine & McInish, Thomas & Upson, James, 2009. "The information content of trading halts," Journal of Financial Markets, Elsevier, vol. 12(4), pages 703-726, November.
    26. Pagano, Michael S. & Peng, Lin & Schwartz, Robert A., 2013. "A call auction's impact on price formation and order routing: Evidence from the NASDAQ stock market," Journal of Financial Markets, Elsevier, vol. 16(2), pages 331-361.
    27. Farag, Hisham, 2015. "The influence of price limits on overreaction in emerging markets: Evidence from the Egyptian stock market," The Quarterly Review of Economics and Finance, Elsevier, vol. 58(C), pages 190-199.
    28. Imbens,Guido W. & Rubin,Donald B., 2015. "Causal Inference for Statistics, Social, and Biomedical Sciences," Cambridge Books, Cambridge University Press, number 9780521885881, September.
    29. Ball, R & Brown, P, 1968. "Empirical Evaluation Of Accounting Income Numbers," Journal of Accounting Research, Wiley Blackwell, vol. 6(2), pages 159-178.
    30. Andrei Kirilenko & Albert S. Kyle & Mehrdad Samadi & Tugkan Tuzun, 2017. "The Flash Crash: High-Frequency Trading in an Electronic Market," Journal of Finance, American Finance Association, vol. 72(3), pages 967-998, June.
    31. Kim, Kenneth A., 2001. "Price limits and stock market volatility," Economics Letters, Elsevier, vol. 71(1), pages 131-136, April.
    32. 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.
    33. Charles J. Corrado, 2011. "Event studies: A methodology review," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 51(1), pages 207-234, March.
    34. Yen-Sheng Huang, 1998. "Stock Price Reaction to Daily Limit Moves: Evidence From the Taiwan Stock Exchange," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 25(3&4), pages 469-483.
    35. 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.
    36. repec:bla:jfinan:v:55:y:2000:i:4:p:1771-1805 is not listed on IDEAS
    37. Dionigi Gerace & Qigui Liu & Gary Gang Tian & Willa Zheng, 2015. "Call Auction Transparency and Market Liquidity: Evidence from China," International Review of Finance, International Review of Finance Ltd., vol. 15(2), pages 223-255, June.
    38. Yen‐Sheng Huang, 1998. "Stock Price Reaction to Daily Limit Moves: Evidence From the Taiwan Stock Exchange," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 25(3‐4), pages 469-483, April.
    39. Kryzanowski, Lawrence & Nemiroff, Howard, 1998. "Price Discovery around Trading Halts on the Montreal Exchange Using Trade-by-Trade Data," The Financial Review, Eastern Finance Association, vol. 33(2), pages 195-212, May.
    Full references (including those not matched with items on IDEAS)

    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. Carlos Castro & Diego A. Agudelo & Sergio Preciado, 2018. "Measuring the effectiveness of volatility auctions," Documentos de Trabajo de Valor Público 16988, Universidad EAFIT.
    2. Castro, Carlos & Agudelo, Diego A. & Preciado, Sergio, 2020. "Measuring the effectiveness of volatility auctions," International Review of Economics & Finance, Elsevier, vol. 70(C), pages 566-581.
    3. Carlos Castro & Diego Agudelo & Sergio Preciado, 2017. "Measuring the effectiveness of volatility call auctions," Documentos de Trabajo 15498, Universidad del Rosario.
    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. Clapham, Benjamin & Gomber, Peter & Haferkorn, Martin & Panz, Sven, 2017. "Managing excess volatility: Design and effectiveness of circuit breakers," SAFE Working Paper Series 195, Leibniz Institute for Financial Research SAFE.
    6. Farag, Hisham, 2015. "The influence of price limits on overreaction in emerging markets: Evidence from the Egyptian stock market," The Quarterly Review of Economics and Finance, Elsevier, vol. 58(C), pages 190-199.
    7. 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.
    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. David Abad & Roberto Pascual, 2010. "Switching To A Temporary Call Auction In Times Of High Uncertainty," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 33(1), pages 45-75, March.
    10. 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.
    11. Hautsch, Nikolaus & Horvath, Akos, 2019. "How effective are trading pauses?," Journal of Financial Economics, Elsevier, vol. 131(2), pages 378-403.
    12. 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.
    13. Farag, Hisham, 2013. "Price limit bands, asymmetric volatility and stock market anomalies: Evidence from emerging markets," Global Finance Journal, Elsevier, vol. 24(1), pages 85-97.
    14. Wong, Kin Ming & Kong, Xiao Wei & Li, Min, 2020. "The magnet effect of circuit breakers and its interactions with price limits," Pacific-Basin Finance Journal, Elsevier, vol. 61(C).
    15. Zhang, Xiaotao & Wang, Ziqiao & Hao, Jing & He, Feng, 2022. "Price limit and stock market quality: Evidence from a quasi-natural experiment in the Chinese stock market," Pacific-Basin Finance Journal, Elsevier, vol. 74(C).
    16. Tang, Siyuan, 2023. "Price limit performance: New evidence from a quasi-natural experiment in China's ChiNext market," International Review of Financial Analysis, Elsevier, vol. 89(C).
    17. Kim, Yong H. & Yagüe, José & Yang, J. Jimmy, 2008. "Relative performance of trading halts and price limits: Evidence from the Spanish Stock Exchange," International Review of Economics & Finance, Elsevier, vol. 17(2), pages 197-215.
    18. Carlos Castro-Iragorri, 2019. "Does the market model provide a good counterfactual for event studies in finance?," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 33(1), pages 71-91, March.
    19. Yong H. Kim & J. Jimmy Yang, 2004. "What Makes Circuit Breakers Attractive to Financial Markets? A Survey," Financial Markets, Institutions & Instruments, John Wiley & Sons, vol. 13(3), pages 109-146, August.
    20. 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.

    More about this item

    Keywords

    Circuit breakers; synthetic control; event studies; volatility auction; tracking portfolios;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:col:000122:016943. 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: Valor Público EAFIT - Centro de estudios e incidencia (email available below). General contact details of provider: https://edirc.repec.org/data/cieafco.html .

    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.