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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
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    File URL: http://hdl.handle.net/10784/13127
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    References listed on IDEAS

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    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.
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    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

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