Limited investor attention and biased reactions to information: Evidence from the COVID-19 pandemic

Xu, Liao; Zhang, Xuan; Zhao, Jing

doi:10.1016/j.finmar.2022.100757

Cited by 12 publications

(6 citation statements)

References 55 publications

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“…Un análisis realizado recientemente, evidenció la labilidad del mercado de valores, sobre todo cuando la diseminación de la enfermedad fue rápida y en los momentos que se perdió control de la pandemia. Los modelos económicos se nutrieron de fuentes inciertas, lo que afectó prácticamente el mercado global [30].…”

Section: Resultsunclassified

Lessons from the Pandemic: Usefulness of datathons and open databases in the analysis of COVID-19

Garcı́a¹,

Fernández²,

Ordóñez³

et al. 2023

Proceedings of the 21th LACCEI International Multi-Conference for Engineering, Education and Technology (LACCEI 2023): “Leaders

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Covid-19 Latam Datathon was the origin of the present study. Analyzing open databases, it was detected that in Chile the deaths of confirmed Covid-19 cases were concentrated in regions with greatest access to hospitals, which was the opposite of what was detected in other countries of Latin America. The objective was to determine the relationship between the distribution of hospitals and mortality from COVID -19 in Chile. The percentage of confirmed cases from March 2020 to August 2021 was analyzed by regions of the country. The analysis was based on the open database of the Chilean Ministry of Health. Geolocation was used to analyze the distribution of health establishments, confirmed cases and deaths. A positive correlation was observed between mortality and the number of hospitals (R = 0.54, p=0.02).It is known that in large cities there are factors such as the segregation of vulnerable groups and environmental contamination that determine the higher mortality from infectious-contagious diseases. However, in the analyzed database it was not possible to find regional information that would help in the interpretation of the results. The datathon allowed us to glimpse the global need to have open, complete, updated databases, which would make it possible to analyze the variables that determine the causes and prevent the consequences of natural disasters or pandemics such as COVID-19. This will help in the future to reduce analysis biases and to help governments to act promptly in the most vulnerable sites to reduce mortality and economic consequences.

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Section: Resultsunclassified

Lessons from the Pandemic: Usefulness of datathons and open databases in the analysis of COVID-19

Garcı́a¹,

Fernández²,

Ordóñez³

et al. 2023

Proceedings of the 21th LACCEI International Multi-Conference for Engineering, Education and Technology (LACCEI 2023): “Leaders

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“…The FLID level is relatively low and less informative for investors, so they have not considered FLID in their investment decisions. In addition, during a pandemic, investors tend to focus more on macro information than micro information (Xu et al, 2022). Furthermore, performance affects firm value.…”

Section: Discussionmentioning

confidence: 99%

Forward-Looking Information Disclosure and Firm Value in the Pandemic Era

Widiastuti

Utami

Purnamasari

2022

JRAK

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The study investigates the forward-looking information disclosure (FLID), firm performance, and firm value during the COVID-19 pandemic. The population of this study was firms listed on the Indonesia Stock Exchange (IDX). The sampling methods used purposive sampling based on specific criteria. Our total sample was 478 observations. The data were analyzed based on multiple regressions utilizing the EViews program. The results of this study revealed that forward-looking information disclosure did not affect firm value. However, firm performance has a positive effect on firm value. Therefore, the interaction of firm performance and forwardlooking information positively affects firm value. During the pandemic, managers disclose more forward-looking information than before the pandemic.

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“…COVID-19 was a global health crisis, which caused a 25% increase in the prevalence of anxiety and depression worldwide ("COVID-19 pandemic", 2022); thus, people were more stressed. More attention has been paid to COVID-19 than other matters during the COVID-19 pandemic (Xu, Zhang, & Zhao, 2023). It would be interesting to examine how COVID-19 affected the relationship between stress and ChatGPT.…”

Section: Covid-19 Pandemicmentioning

confidence: 99%

ChatGPT and Stress

Khanthavit,

Khanthavit

2023

ABAC J

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ChatGPT is an artificial-intelligence chatbot. In addition to comprehending an image like a text prompt, it can understand complex prompts and exhibit human-level performance. It became the fastest-growing application in history, acquiring one million users within five days of release. However, despite its potential to improve productivity, job satisfaction, self-efficacy, and wages, it causes stress to individuals. This study examines the relationship between stress and ChatGPT in Thailand. Although stress is a severe health problem in the country, ChatGPT cannot be avoided as this application helps support the country’s targeted digital technology industry. The study uses a proxy for unobserved stress levels and ChatGPT concerns using Google’s search volume indexes. Based on daily samples from December 10, 2015, to May 31, 2023, regression analysis revealed that ChatGPT significantly increased stress levels. However, during the development sub-sample, the stress level decreased. Stress escalated in the early- and viral-use sub-samples, where the effect for the viral-use sub-sample was significantly higher. In the COVID-19 pandemic sub-sample, the effect was non-significant. The causality of ChatGPT in stress was confirmed by the contemporaneous-causality test.

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Limited investor attention and biased reactions to information: Evidence from the COVID-19 pandemic

Cited by 12 publications

References 55 publications

Lessons from the Pandemic: Usefulness of datathons and open databases in the analysis of COVID-19

Lessons from the Pandemic: Usefulness of datathons and open databases in the analysis of COVID-19

Forward-Looking Information Disclosure and Firm Value in the Pandemic Era

ChatGPT and Stress

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