东北大学学报(社会科学版) ›› 2019, Vol. 21 ›› Issue (1): 20-27.DOI: 10.15936/j.cnki.1008-3758.2019.01.004

• 经济与管理研究 • 上一篇    下一篇

“高送转”的债券市场反应——基于信号传递理论的实证

史金艳,韩雨杉,郭思岑   

  1. (大连理工大学管理与经济学部,辽宁大连116024)
  • 收稿日期:2018-08-10 修回日期:2018-08-10 出版日期:2019-01-25 发布日期:2019-01-12
  • 通讯作者: 史金艳
  • 作者简介:史金艳(1973-),女,黑龙江牡丹江人,大连理工大学副教授,管理学博士,主要从事公司金融、行为金融研究。
  • 基金资助:
    国家社会科学基金资助项目(17BGL234)。

Bond Market Reaction to High Stock Dividends and Splits ——Empirical Evidence Based on Signal Theory

SHI Jin-yan, HAN Yu-shan, GUO Si-cen   

  1. (Faculty of Management and Economics, Dalian University of Technology, Dalian 116024, China)
  • Received:2018-08-10 Revised:2018-08-10 Online:2019-01-25 Published:2019-01-12
  • Contact: -
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摘要: 基于信号传递理论,以2008年1月1日至2016年12月31日发布送转公告并曾发行过公司债的A股上市公司为样本,运用广义倾向得分匹配法(GPS)检验了“高送转”的债券市场反应。研究结果表明,股票送转公告向债券市场传递利好消息,引起债券市场的正向反应;当送转比例达到50%(高送转)时,送转比例越高,债券市场的正向反应越强烈。进一步根据债券期限和信用等级对样本进行分组检验后发现,中短期债券对“高送转”的反应更积极,而不同信用等级债券对“高送转”的反应没有明显差异;基于事件研究法的稳健性检验结果与广义倾向得分匹配法的结果相一致。

关键词: 高送转, 债券市场, 信号传递理论, 广义倾向得分匹配法

Abstract: Based on the signal theory, this paper takes A-share listed companies that announced stock dividends and splits and issuedcorporate bonds from January 1, 2008 to December 31, 2016 as a sample, and uses generalized trend score matching(GPS) method to test the bond market reaction to “high stock dividends and splits”. The results show that stock dividends and splits announcements send good news to bond market, leading to a positive response in the bond market. When the ratio of stock dividends and splits reaches 50%(high stock dividends and splits), the higher the ratio is, the stronger the positive reaction in the bond market. After further testing the samples according to the bond maturity and credit rating, it is found that the medium and short-term bonds react more positively to “high stock dividends and splits”, while the responses of different credit rating bonds to “high stock dividends and splits” do not differ significantly. The robustness test results based on the event study method are consistent with the results of the generalized tendency score matching method.

Key words: high stock dividends and splits, bond market, signal theory, generalized tendency score matching method

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