Investor Attention and Topic Appearance Probabilities: Evidence from Treasury Bond Market

Hao Lei, Ying Chen, C. Chen
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引用次数: 2

Abstract

Motivated by the category-learning behavior, we propose to use Topic Appearance Probability (TAP) in the financial news as an alternative measure of investor attention. We then investigate the relationship between the investor attention, measured by the widely used the Google Search Volume Index and our proposed TAP, and the short-term 3-month and long-term 10-year Treasury yields using daily and weekly data. Our empirical findings are:

(1) there exists a contemporaneous relationship between investor attention and the return of the Treasury yields for daily data, but not weekly data;

(2) The investor attention has a more pronounced predictive power on the return of the 3-month Treasury yield than that of 10-year, which is in terms of adjusted R2 and the number of significant terms.

(3) Investor attention has certain predictive power over the volatility.
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投资者关注和主题出现概率:来自国债市场的证据
在类别学习行为的激励下,我们建议在财经新闻中使用话题出现概率(TAP)作为投资者关注的替代度量。然后,我们研究了投资者关注(通过广泛使用的谷歌搜索量指数和我们提出的TAP来衡量)与使用每日和每周数据的短期3个月和长期10年期美国国债收益率之间的关系。我们的实证研究发现:(1)投资者关注与美国国债收益率之间存在同步关系,但对于每日数据,而不是每周数据;(2)投资者关注对3个月期国债收益率的预测能力比10年期国债收益率的预测能力更明显,这是根据调整后的R2和显著期限的数量来衡量的。(3)投资者关注对波动率具有一定的预测能力。
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