Investor attention and performance of IPO firms: Evidence from online searches

Zhao, Ruwei; Xiong, Xiong; Shen, Dehua

doi:10.1016/j.physa.2018.05.115

Cited by 16 publications

(7 citation statements)

References 41 publications

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“…Issuing firms time the market and more firms go public when investors’ sentiment is high ( Lee, Shleifer, & Thaler, 1991 ) to coincide with periods of excessive market valuation (Baker & Wurgler, 2004). Zhao, Xiong, and Shen (2018) find that investor attention positively affects first-day underpricing. Media coverage ( Bhattacharya et al, 2009 ; Chen et al, 2020a ; Guldiken et al, 2017 ; Pollock & Rindova, 2003 ) and media tone ( Bajo & Raimondo, 2017 ; Zou et al, 2020 ) for the IPO also influence the initial day return.…”

Section: Literature Review and Hypothesis Developmentmentioning

confidence: 81%

COVID-19: Fear of pandemic and short-term IPO performance

Mazumder

Saha

2021

Finance Research Letters

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This study analyzes the relationship between COVID-19 related fear and short-term IPO performance. Though the average market-adjusted initial return of IPOs in the year 2020 is higher than that of the last four decades, it decreases if fear of pandemic increases. The evidence is robust when we use matching firm-adjusted initial returns. Next, we analyze the persistence of performance after the IPO date. The results show that the performance of IPO firms is more sensitive to the fear of the pandemic than the performance of similar existing firms.

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Section: Literature Review and Hypothesis Developmentmentioning

confidence: 81%

COVID-19: Fear of pandemic and short-term IPO performance

Mazumder

Saha

2021

Finance Research Letters

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“…Nowadays, much of progress has been made in human well-being and investor sentiment [1,2], but few big data research findings of parental education anxiety are found. The parental education anxiety prediction framework can be powerfully applied for child-rearing, parents' growth, school district houses and policy interpretation [3].…”

Section: Intriductionmentioning

confidence: 99%

A parent education anxiety prediction model using machine learning

Jia

2022

International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022)

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Education-related search produces a large number of time series data. Effective data mining is of great significance to education decision. A new model was applicated in this paper to predict the parental education anxiety by comparing seven machine learning methods. To ensure the reliability and performance, data were collected from State Statistics Bureau. Results demonstrated that the PCA-LSTM model successfully captures the uncertainty of related policies and events that cause parent education anxiety and has better performance than other results. Our model provides early demand for dynamic real-time analysis and accurate prediction.

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“…Internet search data is generated by the spontaneous Internet search behavior of the public and is characterized by real-time and openness [36,37]. Internet search behavior can effectively reflect the public's thoughts [38][39][40]. When the air quality changes, the daily life of the public will be affected to some extent.…”

Section: Attention Of Air Pollutionmentioning

confidence: 99%

Using the Grey Model to Analyze the Impact of the Primary, Secondary, and Tertiary Industries on the Public’s Attention to Air Pollution in Three Cities

2020

Mathematical Problems in Engineering

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To analyze the impact of the added value of primary, secondary, and tertiary industry on public attention to air pollution in Handan, Xingtai, and Shijiazhuang, Baidu index is used to build the air pollution attention index. Taking the added value of the primary, secondary, and tertiary industry as the influencing factors, fractional grey multivariable convolution model is used to predict and analyze the public attention to air pollution in these three cities from 2020 to 2024. The results show that the secondary industry has the greatest impact on the public’s attention to air pollution compared with the primary industry and the tertiary industry. And the added value of the secondary industry with faster increase will cause a faster increase in the public’s air pollution attention from 2020 to 2024, especially in Handan. It is not only helpful to air pollution control, but also helpful in solving the public psychological problems caused by air pollution.

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Investor attention and performance of IPO firms: Evidence from online searches

Cited by 16 publications

References 41 publications

COVID-19: Fear of pandemic and short-term IPO performance

COVID-19: Fear of pandemic and short-term IPO performance

A parent education anxiety prediction model using machine learning

Using the Grey Model to Analyze the Impact of the Primary, Secondary, and Tertiary Industries on the Public’s Attention to Air Pollution in Three Cities

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