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Moonsoo Kang

Personal Details

First Name:Moonsoo
Middle Name:
Last Name:Kang
Suffix:
RePEc Short-ID:pka864

Affiliation

Frank G. Zarb School of Business
Hofstra University

Hempstead, New York (United States)
http://www.hofstra.edu/Academics/Business/

:


RePEc:edi:sbhofus (more details at EDIRC)

Research output

as
Jump to: Articles

Articles

  1. Nam, Kiseok & Khaksari, Shahriar & Kang, Moonsoo, 2017. "Trend in aggregate idiosyncratic volatility," Review of Financial Economics, Elsevier, vol. 35(C), pages 11-28.
  2. Kang, Moonsoo & Wang, Wei & Eom, Chanyoung, 2017. "Corporate investment and stock liquidity: Evidence on the price impact of trade," Review of Financial Economics, Elsevier, vol. 33(C), pages 1-11.
  3. Moonsoo Kang & Kiseok Nam, 2015. "Informed trade and idiosyncratic return variation," Review of Quantitative Finance and Accounting, Springer, vol. 44(3), pages 551-572, April.
  4. Moonsoo Kang & Bong-Soo Lee, 2014. "Order Flows and Stock Returns: Compensation for Market Makers with Inventory Concerns," The Financial Review, Eastern Finance Association, vol. 49(3), pages 511-538, August.
  5. Kang, Moonsoo, 2010. "Probability of information-based trading and the January effect," Journal of Banking & Finance, Elsevier, vol. 34(12), pages 2985-2994, December.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

  1. Moonsoo Kang & Kiseok Nam, 2015. "Informed trade and idiosyncratic return variation," Review of Quantitative Finance and Accounting, Springer, vol. 44(3), pages 551-572, April.

    Cited by:

    1. Alex Petkevich & Andrew Prevost, 2018. "Managerial ability, information quality, and the design and pricing of corporate debt," Review of Quantitative Finance and Accounting, Springer, vol. 51(4), pages 1033-1069, November.
    2. J. Barry Lin & Christos Pantzalis & Jung Chul Park, 2017. "Corporate derivatives use policy and information environment," Review of Quantitative Finance and Accounting, Springer, vol. 49(1), pages 159-194, July.
    3. Li, Xiao & Shen, Dehua & Zhang, Wei, 2018. "Do Chinese internet stock message boards convey firm-specific information?," Pacific-Basin Finance Journal, Elsevier, vol. 49(C), pages 1-14.

  2. Kang, Moonsoo, 2010. "Probability of information-based trading and the January effect," Journal of Banking & Finance, Elsevier, vol. 34(12), pages 2985-2994, December.

    Cited by:

    1. Ersan, Oguz & Alıcı, Aslı, 2016. "An unbiased computation methodology for estimating the probability of informed trading (PIN)," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 43(C), pages 74-94.
    2. Humphery-Jenner, Mark L., 2011. "Optimal VWAP trading under noisy conditions," Journal of Banking & Finance, Elsevier, vol. 35(9), pages 2319-2329, September.
    3. Yan, Yuxing & Zhang, Shaojun, 2014. "Quality of PIN estimates and the PIN-return relationship," Journal of Banking & Finance, Elsevier, vol. 43(C), pages 137-149.
    4. Lee, Dong Wook & Liu, Mark H., 2011. "Does more information in stock price lead to greater or smaller idiosyncratic return volatility?," Journal of Banking & Finance, Elsevier, vol. 35(6), pages 1563-1580, June.
    5. Diego Alonso Agudelo Rueda & Edwin Villarraga & Santiago Giraldo, 2012. "Asimetría en la información y su efecto en los rendimientos en los mercados accionarios latinoamericanos," Documentos de Trabajo CIEF 010669, Universidad EAFIT.
    6. Chen, Yifan & Zhao, Huainan, 2012. "Informed trading, information uncertainty, and price momentum," Journal of Banking & Finance, Elsevier, vol. 36(7), pages 2095-2109.
    7. Lynch, Andrew & Puckett, Andy & Yan, Xuemin (Sterling), 2014. "Institutions and the turn-of-the-year effect: Evidence from actual institutional trades," Journal of Banking & Finance, Elsevier, vol. 49(C), pages 56-68.
    8. Lof, Matthijs & Bommel, Jos van, 2018. "Asymmetric information and the distribution of trading volume," Research Discussion Papers 1, Bank of Finland.
    9. Schreder, Max, 2018. "Idiosyncratic information and the cost of equity capital: A meta-analytic review of the literature," Journal of Accounting Literature, Elsevier, vol. 41(C), pages 142-172.
    10. Shiu, Yih-Wen & Lee, Chun I. & Gleason, Kimberly C., 2014. "Institutional shareholdings and the January effects in Taiwan," Journal of Multinational Financial Management, Elsevier, vol. 27(C), pages 49-66.
    11. Quan Gan & Wang Chun Wei & David Johnstone, 2015. "A faster estimation method for the probability of informed trading using hierarchical agglomerative clustering," Quantitative Finance, Taylor & Francis Journals, vol. 15(11), pages 1805-1821, November.
    12. Deb, Saikat Sovan & Kalev, Petko S. & Marisetty, Vijaya B., 2013. "Flexible price limits: The case of Tokyo Stock Exchange," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 24(C), pages 66-84.

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