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来源类型Working Paper
规范类型报告
DOI10.3386/w28441
来源IDWorking Paper 28441
Uncovering the Hidden Effort Problem
Azi Ben-Rephael; Bruce I. Carlin; Zhi Da; Ryan D. Israelsen
发表日期2021-02-08
出版年2021
语种英语
摘要We use machine learning to analyze minute-by-minute Bloomberg online status data and study how the effort provision of top executives in public corporations affects firm value. While executives likely spend most of their time doing other activities, Bloomberg usage data allows us to characterize their work habits. We document a positive effect of effort on unexpected earnings, cumulative abnormal returns following firm earnings announcements, and credit default swap spreads. We form long-short, calendar-time, effort portfolios and show that they earn significant average daily returns. Finally, we revisit several agency issues that have received attention in the prior academic literature on executive compensation.
主题Microeconomics ; Households and Firms ; Economics of Information ; Financial Economics ; Corporate Finance ; Other ; Accounting, Marketing, and Personnel
URLhttps://www.nber.org/papers/w28441
来源智库National Bureau of Economic Research (United States)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/586114
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GB/T 7714
Azi Ben-Rephael,Bruce I. Carlin,Zhi Da,et al. Uncovering the Hidden Effort Problem. 2021.
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