Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/217479
Title: JUDGING A BOOK BY ITS COVER: AN EMPIRICAL STUDY OF THE IMPACT OF COMPANY NAME GRANDIOSITY USING A MACHINE LEARNING APPROACH
Authors: NICOLAS LYE ZHI QIN
Keywords: ACCOUNTING
Issue Date: 5-Apr-2021
Citation: NICOLAS LYE ZHI QIN (2021-04-05). JUDGING A BOOK BY ITS COVER: AN EMPIRICAL STUDY OF THE IMPACT OF COMPANY NAME GRANDIOSITY USING A MACHINE LEARNING APPROACH. ScholarBank@NUS Repository.
Abstract: Prior studies have investigated how the linguistic and phonetic fluency of a company’s name affects market performance metrics such as share price returns and investor recognition. However, these studies have not explored the grandiosity of a company’s name (which may be a form of window dressing). In this study, I investigate the relationship between the grandiosity of a company’s name (measured using both a machine learning sentiment analysis as well as a survey) and its involvement in enforcement actions (whether the company has faced regulatory/legal actions) and performance. I found companies with grandiose names tend to face a greater number of queries from SGX as well as legal actions from third-parties, and are more likely to be placed on the SGX watchlist. I also found that a portfolio comprised of companies with grandiose names exhibited an increased return volatility in terms of portfolio standard deviation in the short run, and a lower cumulative abnormal return in the long run.
URI: https://scholarbank.nus.edu.sg/handle/10635/217479
Appears in Collections:Bachelor's Theses

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