کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
968501 1479349 2015 18 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Herding behavior in institutional investors: Evidence from China’s stock market
ترجمه فارسی عنوان
رفتار اتحادی در سرمایه گذاران نهادی: شواهدی از بازار سهام چین
کلمات کلیدی
رفتار اتحادی . سرمایه گذاران نهادی؛ بازار سهام چین؛ بازده سهام اضافی. عوامل قیمت فاما-فرانسه-کارهارت
موضوعات مرتبط
علوم انسانی و اجتماعی اقتصاد، اقتصادسنجی و امور مالی اقتصاد و اقتصادسنجی
چکیده انگلیسی


• We test how institutional herding affects stock returns in China’s stock market.
• Herding positively affects future stock returns for both short and long periods.
• Herding affects stock returns stronger on buy herd and under crisis periods.
• The impact of herding on stock returns are different for different stock portfolios.
• There is a long term reversal on how persistent herding affects stock returns.

This paper tests how institutional herding affects future excess stock returns in China’s stock market. By employing a hand-collected institutional holding database, we create the herding measure following Lakonishok at el. (1992). The results suggest that both short-term and long-term future excess stock returns are positively correlated with the herding measure. The results hold true for next-day, next-quarter, and next-year excess stock returns. Furthermore, herding effect is found mostly significant on buy side herd and herding affects excess stock returns more significantly during the crisis period. By testing the herding effect for different stock portfolios, we find that when institutional investors herd on larger, value or liquid stocks, the price effect is stronger and short lived, but when institutional investors herd on smaller, growth, or illiquid stocks, the price effect lasts much longer. Finally, persistent herd activities are positively associated with excess stock returns for short to medium time periods (one month and one quarter), but are negatively associated with excess stock returns for a long run.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Multinational Financial Management - Volumes 32–33, December 2015, Pages 59–76
نویسندگان
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