Trading Activity in the Corporate Bond Market: A SAD Tale of Macro-Announcements and Behavioral Seasonality?

IF 2 Q2 BUSINESS, FINANCE Risks Pub Date : 2024-05-14 DOI:10.3390/risks12050080
James J. Forest, Ben S. Branch, Brian T. Berry
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Abstract

This study investigates the determinants of trading activity in the U.S. corporate bond market, focusing on the effects of Seasonal Affective Disorder (SAD) and macroeconomic announcements. Employing the General-to-Specific (Gets) Autometrics methodology, we identify distinct behavioral responses between retail and institutional investors to SAD, noting a significant impact on retail trading volumes but not on institutional trading or bond returns. This discovery extends the understanding of behavioral finance within the context of bond markets, diverging from established findings in equity and Treasury markets. Additionally, our analysis delineates the influence of macroeconomic announcements on trading activities, offering new insights into the market’s reaction to economic news. This study’s findings contribute to the broader literature on market microstructure and behavioral finance, providing empirical evidence on the interplay between psychological factors and macroeconomic information flow within corporate bond markets. By addressing these specific aspects with rigorous econometric techniques, our research enhances the comprehension of trading dynamics in less transparent markets, offering valuable perspectives for academics, investors, risk managers, and policymakers.
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公司债券市场的交易活动:宏观公告与行为季节性的 SAD 故事?
本研究调查了美国公司债券市场交易活动的决定因素,重点关注季节性情感障碍(SAD)和宏观经济公告的影响。我们采用一般到特定(Gets)的 Autometrics 方法,发现了散户和机构投资者对 SAD 的不同行为反应,注意到对散户交易量有显著影响,但对机构交易或债券回报没有影响。这一发现拓展了人们对债券市场行为金融学的理解,与股票和国债市场的既有发现有所不同。此外,我们的分析界定了宏观经济公告对交易活动的影响,为市场对经济新闻的反应提供了新的见解。本研究的发现为更广泛的市场微观结构和行为金融学文献做出了贡献,为公司债券市场中心理因素和宏观经济信息流之间的相互作用提供了经验证据。通过利用严格的计量经济学技术解决这些具体问题,我们的研究增强了对透明度较低市场中交易动态的理解,为学术界、投资者、风险管理者和政策制定者提供了宝贵的视角。
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来源期刊
Risks
Risks Economics, Econometrics and Finance-Economics, Econometrics and Finance (miscellaneous)
CiteScore
3.80
自引率
22.70%
发文量
205
审稿时长
11 weeks
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