Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/137473
Type: | Thesis |
Title: | The Impact of Coronavirus Pandemic Severity on Financial Analyst Earnings Forecasts |
Author: | Bui, Hoang Long |
Issue Date: | 2023 |
School/Discipline: | Business School |
Abstract: | This thesis presents an assessment of analysts’ forecasting abilities when influenced by the Coronavirus pandemic. In the first study, I document an increase in both pessimism and accuracy of earning forecasts issued by analysts during the post-COVID pandemic. I then introduce the primary focus of the thesis, examining the effect of COVID severity levels on analysts’ performance, proxied by the key characteristics of earning forecasts: pessimism, accuracy, timeliness and frequency. In the final study, I examine the impact of working from home during the COVID pandemic and find it has no meaningful influence on analysts’ performance aside from their sentiment. My studies corroborate and extend the extant behavioural finance and psychology literature, highlighting the importance of understanding the severity of an exogenous shock and the influence of working environments on analysts’ performance. |
Advisor: | Zurbruegg, Ralf Cheong, Chee |
Dissertation Note: | Thesis (MPhil) -- University of Adelaide, Adelaide Business School, 2023 |
Keywords: | COVID-19, financial analysts, earnings forecasts, severity |
Provenance: | This electronic version is made publicly available by the University of Adelaide in accordance with its open access policy for student theses. Copyright in this thesis remains with the author. This thesis may incorporate third party material which has been used by the author pursuant to Fair Dealing exceptions. If you are the owner of any included third party copyright material you wish to be removed from this electronic version, please complete the take down form located at: http://www.adelaide.edu.au/legals |
Appears in Collections: | Research Theses |
Files in This Item:
File | Description | Size | Format | |
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Bui2023_MPhil.pdf | 1.32 MB | Adobe PDF | View/Open |
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