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Trading Costs Of Non‐U.S. Stocks On The New York Stock Exchange: The Effect Of Institutional Ownership, Analyst Following, And Market Regulation

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  • Christine X. Jiang
  • Jang‐Chul Kim

Abstract

We investigate the differences in market microstructure between U.S. and non‐U.S. stocks cross‐listed on the New York Stock Exchange using a sample of 316 pairs of matched stocks. We find that non‐U.S. stocks have wider spreads and larger adverse‐selection costs than U.S. stocks even after controlling for macro‐level institutional differences. Regression analysis shows that spreads and adverse‐selection costs are negatively correlated with institutional ownership and analyst followings. Thus, the higher spreads and adverse‐selection costs for non‐U.S. stocks can be partly explained by the lower institutional ownership and analyst following of non‐U.S. stocks. In addition, we find that although the spreads and adverse‐selection costs for non‐U.S. stocks are significantly higher before the implementation of Regulation Fair Disclosure (FD), the differences become even greater after Regulation FD, suggesting that Regulation FD has improved the information environment for U.S. stocks.

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  • Christine X. Jiang & Jang‐Chul Kim, 2005. "Trading Costs Of Non‐U.S. Stocks On The New York Stock Exchange: The Effect Of Institutional Ownership, Analyst Following, And Market Regulation," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 28(3), pages 439-459, September.
    • Handle: RePEc:bla:jfnres:v:28:y:2005:i:3:p:439-459
    DOI: 10.1111/j.1475-6803.2005.00133.x
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    Cited by:

    1. Kenneth Small & James Wansley & Matthew Hood, 2012. "The impact of security concentration on adverse selection costs and liquidity: an examination of exchange traded funds," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 36(2), pages 261-281, April.
    2. 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.
    3. Premti, Arjan & Garcia-Feijoo, Luis & Madura, Jeff, 2017. "Information content of analyst recommendations in the banking industry," International Review of Financial Analysis, Elsevier, vol. 49(C), pages 35-47.
    4. Wang, Ashley W. & Zhang, Gaiyan, 2009. "Institutional ownership and credit spreads: An information asymmetry perspective," Journal of Empirical Finance, Elsevier, vol. 16(4), pages 597-612, September.
    5. Bart Frijns & Aaron Gilbert & Alireza Tourani‐Rad, 2008. "Insider Trading, Regulation, And The Components Of The Bid–Ask Spread," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 31(3), pages 225-246, September.
    6. Chung, Chune Young & Kim, Hyeik & Wang, Kainan, 2022. "Do domestic or foreign institutional investors matter? The case of firm information asymmetry in Korea," Pacific-Basin Finance Journal, Elsevier, vol. 72(C).
    7. Akhigbe, Aigbe & McNulty, James E. & Stevenson, Bradley A., 2013. "How does transparency affect bank financial performance?," International Review of Financial Analysis, Elsevier, vol. 29(C), pages 24-30.
    8. Olga Dodd & Aaron Gilbert, 2016. "The Impact of Cross-Listing on the Home Market's Information Environment and Stock Price Efficiency," The Financial Review, Eastern Finance Association, vol. 51(3), pages 299-328, August.
    9. Marcelo Brutti Righi & Kelmara Mendes Vieira & Daniel Arruda Coronel & Reisoli Bender Filho & Paulo Sergio Ceretta, 2014. "Decomposing the bid-ask spread in the Brazilian market: an intraday framework," Economics Bulletin, AccessEcon, vol. 34(3), pages 2010-2023.

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