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【风险管理与保险论坛(2023年度)第九讲】Truthful Reputation: Theory and Experiments in the Context of Investment Behavior

发布时间:2023-11-27  浏览次数: 次  来源:

讲座题目:Truthful Reputation: Theory and Experiments in the Context of Investment Behavior

主讲人:王斌,巴黎第一大学(CNRS-CES)经济学博士

时间:2023年12月1日星期五14:00-16:00

腾讯会议号:762-817-628

Abstract: This paper studies the impact of a reputation system that combines information related to truth-telling and information related to economic performance on firms’ and investors’ behavior in an investment game. Such a reputation system allows us to link the two important aspects of reputation - honesty and performance - which have been studied so far separately. We analyze firms’ and investors’ strategies using a cheap talk framework and use laboratory experiments to test the model’s predictions. Both in theory and in the experiments, we observe that firms’ truthful behavior can be induced via this reputation mechanism, especially for bad-type firms and environments in which the success rate is low. Second, the reputation system helps investors distinguish between good and bad investment firms via the reputation score, which explains the investors’ investment difference between good-type and bad-type firms. The higher the reputation score, the higher the propensity of investors to invest. Third, we find that different types of investment firms treat reputation differently: good-type firms’ announcements are positively impacted by their probability of success and reputation score while bad-type firms’ announcements are only related to the probability of success. Thus, although bad-type firms do not seem to care about reputation, the fact that only good firms treat reputation as an asset is enough to allow investors to distinguish good-type firms from bad-type firms. Our findings help inform questions related to the design of reputation systems in investment markets in future studies.

主讲人简介:王斌,博士毕业于巴黎第一大学(CNRS-CES),上海交通大学高级金融学院访问学者。研究方向为行为金融与实验经济,研究课题主要聚焦于金融预测、投资与融资以及声誉机制。王斌博士目前是多篇期刊的匿名审稿人,并在多次在国内外知名学术会议报告论文。

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