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Intraday patterns in London listed Exchange Traded Funds

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  • Chelley-Steeley, Patricia
  • Park, Keebong

Abstract

In this paper we examine the intraday trading patterns of Exchange Traded Funds (ETFs) listed on the London Stock Exchange. ETFs have been shown to be characterised by much lower bid–ask spread costs and by lower levels of information asymmetry than individual securities. One possible explanation for intraday trading patterns is that concentration of trading arises at the start of the trading day because informed traders have private information that quickly diminishes in value as trading progresses. Since ETFs have lower trading costs and lower levels of information asymmetry we would expect these securities to display less pronounced intraday patterns than individual securities. We fail to find that ETFs are characterised by concentrated trading bouts during the day and therefore find support for the argument that information asymmetry is the cause of intraday volume patterns in stock markets. We find that ETF bid–ask spreads and volatility are elevated at the open but not at the close. This lends support to the “accumulation of information” explanation that sees high spreads and volatility at the open as a consequence of information accumulating during a market closure and impacting on the market when it next opens.

Suggested Citation

  • Chelley-Steeley, Patricia & Park, Keebong, 2011. "Intraday patterns in London listed Exchange Traded Funds," International Review of Financial Analysis, Elsevier, vol. 20(5), pages 244-251.
  • Handle: RePEc:eee:finana:v:20:y:2011:i:5:p:244-251
    DOI: 10.1016/j.irfa.2011.05.001
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    1. H. McInish, Thomas & Wood, Robert A., 1990. "A transactions data analysis of the variability of common stock returns during 1980-1984," Journal of Banking & Finance, Elsevier, vol. 14(1), pages 99-112, March.
    2. A. Abhyankar & D. Ghosh & E. Levin & R.J. Limmack, 1997. "Bid‐ask Spreads, Trading Volume and Volatility: Intra‐day Evidence from the London Stock Exchange," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 24(3), pages 343-362, April.
    3. Wood, Robert A & McInish, Thomas H & Ord, J Keith, 1985. "An Investigation of Transactions Data for NYSE Stocks," Journal of Finance, American Finance Association, vol. 40(3), pages 723-739, July.
    4. Foster, F Douglas & Viswanathan, S, 1990. "A Theory of the Interday Variations in Volume, Variance, and Trading Costs in Securities Markets," The Review of Financial Studies, Society for Financial Studies, vol. 3(4), pages 593-624.
    5. Foster, F Douglas & Viswanathan, S, 1993. "Variations in Trading Volume, Return Volatility, and Trading Costs: Evidence on Recent Price Formation Models," Journal of Finance, American Finance Association, vol. 48(1), pages 187-211, March.
    6. Ahn, Hee-Joon & Cheung, Yan-Leung, 1999. "The intraday patterns of the spread and depth in a market without market makers: The Stock Exchange of Hong Kong," Pacific-Basin Finance Journal, Elsevier, vol. 7(5), pages 539-556, December.
    7. Yadav, Pradeep K. & Pope, Peter F., 1992. "Intraweek and intraday seasonalities in stock market risk premia: Cash and futures," Journal of Banking & Finance, Elsevier, vol. 16(1), pages 233-270, February.
    8. Chelley-Steeley, Patricia & Park, Keebong, 2010. "The adverse selection component of exchange traded funds," International Review of Financial Analysis, Elsevier, vol. 19(1), pages 65-76, January.
    9. Neal, Robert & Wheatley, Simon M., 1998. "Adverse selection and bid-ask spreads: Evidence from closed-end funds," Journal of Financial Markets, Elsevier, vol. 1(1), pages 121-149, April.
    10. Harper, Joel T. & Madura, Jeff & Schnusenberg, Oliver, 2006. "Performance comparison between exchange-traded funds and closed-end country funds," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 16(2), pages 104-122, April.
    11. French, Kenneth R. & Roll, Richard, 1986. "Stock return variances : The arrival of information and the reaction of traders," Journal of Financial Economics, Elsevier, vol. 17(1), pages 5-26, September.
    12. Lucy F. Ackert & Yisong S. Tian, 2000. "Arbitrage and Valuation in the Market forStandard and Poor's Depository Receipts," Financial Management, Financial Management Association, vol. 29(3), Fall.
    13. Subrahmanyam, Avanidhar, 1991. "A Theory of Trading in Stock Index Futures," The Review of Financial Studies, Society for Financial Studies, vol. 4(1), pages 17-51.
    14. Shantaram P. Hegde & John B. McDermott, 2004. "Firm Characteristics as Cross-sectional Determinants of Adverse Selection," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 31(7-8), pages 1097-1124.
    15. Madhavan, Ananth & Richardson, Matthew & Roomans, Mark, 1997. "Why Do Security Prices Change? A Transaction-Level Analysis of NYSE Stocks," The Review of Financial Studies, Society for Financial Studies, vol. 10(4), pages 1035-1064.
    16. Silber, William L, 1984. "Marketmaker Behavior in an Auction Market: An Analysis of Scalpers in Futures Markets," Journal of Finance, American Finance Association, vol. 39(4), pages 937-953, September.
    17. Amihud, Yakov & Mendelson, Haim, 1987. "Trading Mechanisms and Stock Returns: An Empirical Investigation," Journal of Finance, American Finance Association, vol. 42(3), pages 533-553, July.
    18. Jain, Prem C. & Joh, Gun-Ho, 1988. "The Dependence between Hourly Prices and Trading Volume," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 23(3), pages 269-283, September.
    19. Boehmer, Beatrice & Boehmer, Ekkehart, 2003. "Trading your neighbor's ETFs: Competition or fragmentation?," Journal of Banking & Finance, Elsevier, vol. 27(9), pages 1667-1703, September.
    20. Lee, Charles M C & Mucklow, Belinda & Ready, Mark J, 1993. "Spreads, Depths, and the Impact of Earnings Information: An Intraday Analysis," The Review of Financial Studies, Society for Financial Studies, vol. 6(2), pages 345-374.
    21. McInish, Thomas H & Wood, Robert A, 1992. "An Analysis of Intraday Patterns in Bid/Ask Spreads for NYSE Stocks," Journal of Finance, American Finance Association, vol. 47(2), pages 753-764, June.
    22. Brock, William A. & Kleidon, Allan W., 1992. "Periodic market closure and trading volume : A model of intraday bids and asks," Journal of Economic Dynamics and Control, Elsevier, vol. 16(3-4), pages 451-489.
    23. Anita K. Pennathur & Natalya Delcoure & Dwight Anderson, 2002. "Diversification Benefits of iShares and Closed‐End Country Funds," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 25(4), pages 541-557, December.
    24. Karpoff, Jonathan M., 1987. "The Relation between Price Changes and Trading Volume: A Survey," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 22(1), pages 109-126, March.
    25. Hughen, J. Christopher & Mathew, Prem G., 2009. "The efficiency of international information flow: Evidence from the ETF and CEF prices," International Review of Financial Analysis, Elsevier, vol. 18(1-2), pages 40-49, March.
    26. Ho, Thomas & Stoll, Hans R., 1981. "Optimal dealer pricing under transactions and return uncertainty," Journal of Financial Economics, Elsevier, vol. 9(1), pages 47-73, March.
    27. Seemann, Lars & McCauley, Joseph L. & Gunaratne, Gemunu H., 2011. "Intraday volatility and scaling in high frequency foreign exchange markets," International Review of Financial Analysis, Elsevier, vol. 20(3), pages 121-126, June.
    28. 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.
    29. Chan, K C & Christie, William G & Schultz, Paul H, 1995. "Market Structure and the Intraday Pattern of Bid-Ask Spreads for NASDAQ Securities," The Journal of Business, University of Chicago Press, vol. 68(1), pages 35-60, January.
    30. Charlie X. Cai & Robert Hudson & Kevin Keasey, 2004. "Intra Day Bid‐Ask Spreads, Trading Volume and Volatility: Recent Empirical Evidence from the London Stock Exchange," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 31(5‐6), pages 647-676, June.
    31. Gerety, Mason S & Mulherin, J Harold, 1994. "Price Formation on Stock Exchanges: The Evolution of Trading within the Day," The Review of Financial Studies, Society for Financial Studies, vol. 7(3), pages 609-629.
    32. Chu, Patrick Kuok Kun, 2010. "The price linkages between the equity fund price levels and the stock markets: Evidences from cointegration approach and causality analysis of Hong Kong Mandatory Provident Fund (MPF)," International Review of Financial Analysis, Elsevier, vol. 19(4), pages 281-288, September.
    33. Charlie X. Cai & Robert Hudson & Kevin Keasey, 2004. "Intra Day Bid‐Ask Spreads, Trading Volume and Volatility: Recent Empirical Evidence from the London Stock Exchange," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 31(5‐6), pages 647-676, June.
    34. Gregory J. Kuserk & Peter R. Locke, 1993. "Scalper behavior in futures markets: An empirical examination," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 13(4), pages 409-431, June.
    35. Ozenbas, Deniz & Schwartz, Robert A & Wood, Robert A, 2002. "Volatility in US and European Equity Markets: An Assessment of Market Quality," International Finance, Wiley Blackwell, vol. 5(3), pages 437-461, Winter.
    36. Imtiaz Mazumder, M. & Chu, Ting-Heng & Miller, Edward M. & Prather, Larry J., 2008. "International day-of-the-week effects: An empirical examination of iShares," International Review of Financial Analysis, Elsevier, vol. 17(4), pages 699-715, September.
    37. Gallant, A Ronald & Rossi, Peter E & Tauchen, George, 1992. "Stock Prices and Volume," The Review of Financial Studies, Society for Financial Studies, vol. 5(2), pages 199-242.
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    1. Stoyu Ivanov, 2017. "Comparative Analysis of ETF and Common Stock Intraday Bid-Ask Spread Behavior," Economics Bulletin, AccessEcon, vol. 37(2), pages 723-732.
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    3. Bassiouny, Aliaa & Tooma, Eskandar, 2021. "Intraday indirect arbitrage between European index ETFs," International Review of Financial Analysis, Elsevier, vol. 75(C).
    4. Azhar Mohamad & Aziz Jaafar & John Goddard, 2016. "Short selling and exchange-traded funds returns: evidence from the London Stock Exchange," Applied Economics, Taylor & Francis Journals, vol. 48(2), pages 152-164, January.
    5. Ben Ammar, Imen & Hellara, Slaheddine & Ghadhab, Imen, 2020. "High-frequency trading and stock liquidity: An intraday analysis," Research in International Business and Finance, Elsevier, vol. 53(C).
    6. Tseng, Tseng-Chan & Lee, Chien-Chiang & Chen, Mei-Ping, 2015. "Volatility forecast of country ETF: The sequential information arrival hypothesis," Economic Modelling, Elsevier, vol. 47(C), pages 228-234.
    7. Li, Wenhui & Zhu, Qi & Wen, Fenghua & Nor, Normaziah Mohd, 2022. "The evolution of day-of-the-week and the implications in crude oil market," Energy Economics, Elsevier, vol. 106(C).
    8. Jakub Kubiczek & Marcin Tuszkiewicz, 2022. "Intraday Patterns of Liquidity on the Warsaw Stock Exchange before and after the Outbreak of the COVID-19 Pandemic," IJFS, MDPI, vol. 10(1), pages 1-16, February.

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