Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Jinfei Sheng"'
Publikováno v:
Financial Management. 52:199-224
Autor:
David Hirshleifer, Jinfei Sheng
Publikováno v:
Journal of Financial Economics. 145:1006-1024
We study how the arrival of macro-news affects the stock market’s ability to incorporate the information in firm-level earnings announcements. Existing theories suggest that macro and firm-level earnings news are attention substitutes; macro-news a
Publikováno v:
The Review of Financial Studies. 35:5057-5093
We construct macroeconomic attention indexes (MAI), which are new measures of attention to different macroeconomic risks, including unemployment and monetary policy. Individual MAI tend to increase around related announcements and following changes i
Publikováno v:
SSRN Electronic Journal.
Do risk disclosures by mutual funds reflect funds’ actual investment risks? Using textual analysis, we examine risk disclosures in funds’ summary prospectuses to determine whether funds do accurately disclose their risks. We first document the ty
Autor:
David A. Hirshleifer, Jinfei Sheng
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
SSRN Electronic Journal.
We document sharp differences in stock price responses to COVID-19-related news between public firms headquartered in blue counties (dominated by Democratic voters) and those in red counties (dominated by Republican voters). Red-county stocks on aver
Publikováno v:
SSRN Electronic Journal.
This paper studies the role of technological sophistication in Initial Coin Offering (ICO) successes and valuations. Using various machine learning methods, we construct technology indexes from ICO whitepapers to capture technological sophistication
Publikováno v:
SSRN Electronic Journal.
We analyze how employees’ online ratings of firms’ affect their corporate financing and investment policies. We hypothesize that, while employees are unlikely to have access to inside information, their ratings, being driven by their day-to-day i
Autor:
Jinfei Sheng
Publikováno v:
SSRN Electronic Journal.
Using a new dataset of online employee expectations, I show that employees' beliefs about their employers' business prospects predict future stock returns. A long-short portfolio based on employee expectations delivers an annualized abnormal return o