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The components of bid‐ask spread and their determinants: TAIFEX versus SGX‐DT

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  • Yu Chuan Huang

Abstract

This paper compares the intraday components of bid‐ask spread in Taiwan stock index futures traded on Taiwan Futures Exchange (TAIFEX) and Singapore Exchange Derivatives Trading Limited (SGX‐DT). Variables that determine the components of spread are also examined. SGX‐DT uses a floor trading system while TAIFEX uses an electronic call system. This study finds that both information asymmetry and order processing cost components exhibit U‐shaped patterns in the two markets, in contrast to previous findings for U.S. equity markets. Moreover, the information asymmetry components are lower in the TAIFEX relative to the SGX‐DT futures, suggesting that the continuous open outcry markets are more vulnerable to information asymmetry than the electronic call markets. The regression results show that volatility and information are the major determinants of the components while number of trades is not the major determinant of the order processing and information asymmetry components for both markets. © 2004 Wiley Periodicals, Inc. Jrl Fut Mark 24:835–860, 2004

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  • Yu Chuan Huang, 2004. "The components of bid‐ask spread and their determinants: TAIFEX versus SGX‐DT," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 24(9), pages 835-860, September.
  • Handle: RePEc:wly:jfutmk:v:24:y:2004:i:9:p:835-860
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    3. Liu, Qingfu & Hua, Renhai & An, Yunbi, 2016. "Determinants and information content of intraday bid-ask spreads: Evidence from Chinese commodity futures markets," Pacific-Basin Finance Journal, Elsevier, vol. 38(C), pages 135-148.
    4. Chung, Kee H. & Park, Seongkyu “Gilbert” & Ryu, Doojin, 2016. "Trade duration, informed trading, and option moneyness," International Review of Economics & Finance, Elsevier, vol. 44(C), pages 395-411.
    5. Manoj Dalvi & James Refalo & Golak Nath, 2010. "The effect of settlement regimes on trading cost and market efficiency: evidence from the National Stock Exchange," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 3(1), pages 119-130.
    6. Kumar, S.S.S. & Sampath, Aravind, 2019. "What drives the off-shore futures market? Evidence from India and China," Finance Research Letters, Elsevier, vol. 30(C), pages 394-402.
    7. Atilgan, Yigit & Demirtas, K. Ozgur & Simsek, Koray D., 2016. "Derivative markets in emerging economies: A survey," International Review of Economics & Finance, Elsevier, vol. 42(C), pages 88-102.
    8. Doojin Ryu, 2013. "Spread and depth adjustment process: an analysis of high-quality microstructure data," Applied Economics Letters, Taylor & Francis Journals, vol. 20(16), pages 1506-1510, November.
    9. Webb, Robert I. & Ryu, Doojin & Ryu, Doowon & Han, Joongho, 2016. "The price impact of futures trades and their intraday seasonality," Emerging Markets Review, Elsevier, vol. 26(C), pages 80-98.
    10. Aritra Pan & Arun Kumar Misra & David McMillan, 2021. "A comprehensive study on bid-ask spread and its determinants in India," Cogent Economics & Finance, Taylor & Francis Journals, vol. 9(1), pages 1898735-189, January.
    11. Doojin Ryu, 2011. "Intraday price formation and bid–ask spread components: A new approach using a cross‐market model," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 31(12), pages 1142-1169, December.
    12. Phan, Hoàng-Long & Zurbruegg, Ralf & Brockman, Paul & Yu, Chia-Feng (Jeffrey), 2022. "Time-to-maturity and commodity futures return volatility: The role of time-varying asymmetric information," Journal of Commodity Markets, Elsevier, vol. 26(C).

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