Saw the proof document exchanged between universities. Same idea, same analysis...
WL liked the students social media post about the paper and wrote a same paper.
Copycats usually get away because no proof of knowing the paper. This gonna be interesting!
WK Li from SMU plagiarized a JMP – BEST SCANDAL of the year
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https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3741395
details please. which two papers?
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https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3857376&dgcid=ejournal_htmlemail_financial:accounting:ejournal_abstractlink
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3741395details please. which two papers?
For people too lazy to click the links:
1st paper: The Gender Effects of COVID-19 on Equity Analysts
Frank Weikai Li, Baolian Wang
We use the COVID-19 pandemic as a natural experiment to study the effects of childcare and household duties on sell-side analysts. The richness of this setting allows us to compare female and male analysts while requiring them to perform the same tasks. We find that female analysts' forecast accuracy declined more than male analysts, especially when schools were closed and among analysts who were more likely to have young children, inexperienced, were likely busier before the pandemic, and lived in southern states. Female analysts also reduced the timeliness of their forecasts and resorted to more heuristic forecasts. The stock market was aware of this and became less responsive to female analysts' forecasts. However, female analysts did not reduce their coverage or updating frequency relative to male analysts. We also find the above widening gender gap was temporary and became statistically insignificant by May/June 2020. Overall, our results show that the pandemic impacted female analysts more than males through the quality of their forecasts but not the quantity.2nd paper: Locked-in at Home: Female Analysts' Attention at Work during the COVID-19 Pandemic
Mengqiao Du
This paper explores the shock of school closures caused by the COVID-19 pandemic to study the effect of domestic responsibilities on analysts' attention at work. School closures significantly reduce the forecast timeliness of female analysts rather than that of male analysts. Using manually-collected data on whether analysts have children, I show that mothers are 20% less likely to issue timely forecasts after school closures. Professional women are more likely to get distracted from work by domestic duties, which makes it harder for them to be as successful as their male counterparts in competitive industries.