Sentiment analysis of news articles and its effect on IPO underpricing for Indian companies

dc.contributor.author	Khandelwal, Ayush
dc.contributor.author	Mishra, Tanisha
dc.date.accessioned	2023-10-03T08:34:15Z
dc.date.available	2023-10-03T08:34:15Z
dc.date.issued	2023-08-08
dc.identifier.uri	http://hdl.handle.net/11718/26706
dc.description.abstract	The purpose of this study is to explore the relationship between the IPO company related sentiments in news and the underpricing of the IPOs in the Indian market. The study will establish the relationship between the prior 1-month sentiments obtained from news articles and various types of underpricing of the IPO. There is limited literature on IPO related sentiment analysis in the Indian context, and therefore the scope of research is to apply the established Natural Language Processing (NLP) methods to analyze the relationship between sentiments and IPOs of Indian companies. The study will be utilizing data from the 2021 IPOs, for a total of 63 companies.	en_US
dc.language.iso	en	en_US
dc.publisher	Indian Institute of Management Ahmedabad	en_US
dc.subject	News articles	en_US
dc.subject	IPO	en_US
dc.subject	Indian market	en_US
dc.subject	Sentiment-based models	en_US
dc.title	Sentiment analysis of news articles and its effect on IPO underpricing for Indian companies	en_US
dc.type	Student Project	en_US