A study on the Impact of Market Volatility on IPO Dynamics Examining IPO Pricing and Investor Sentiment
Dr. Tanya Nagpal, Assistant Professor, Management, Mittal School of Business
Shaik Mujassum, MBA, Management, Mittal School of Business
Shivani Jaiswal, MBA, Management, Mittal School of Business
Gaurav Raj, MBA, Management, Mittal School of Business
Isha Gupta, MBA, Management, Mittal School of Business
ABSTRACT
The level of market volatility stands as a crucial factor that influences how Initial Public Offerings (IPOs) receive pricing decisions and succeed in the market. An examination of how all three elements work together in the Indian market context explores this paper. Market conditions portrayed by India VIX measurements cause alterations in both IPO valuation prices and relative underpricing levels according to the examination. An analysis of 196 IPOs based on secondary data joins findings from 85 investor survey responses to study investor behavior changes that occur during volatile times. Despite its low effect based on statistical data market volatility shows minimal influence on IPO pricing but investor sentiment emerges as a strong behavioral factor during IPO decision-making. According to the survey findings investors maintain different opinions about IPO investment when market volatility becomes high because many hesitate to put their money into IPOs during these turbulent periods. The respondents identified media reporting and financial expert recommendations along with the perception of future price gains as major considerations in their business decisions. Anticipating market volatilities IPO issuers mainly focus on offering prices based on company strengths along with strategic messaging rather than short-term instabilities. The generated findings enhance understanding concerning the joint actions of behavioral finance and market dynamics while emerging markets announce public offerings. The paper delivers strategic suggestions to Issuers and Underwriters and Policymakers who must implement sentiment analysis instruments with adaptive pricing models to account for psychological investor behavior. The paper promotes future IPO research through the combination of machine learning systems with behavioral-finance-led analytic techniques for IPO forecasting models. The investigative research generates real-world and scholarly impact through its advancement of market indicator to investor decision-making relations under uncertain scenarios.
Keywords: IPO Pricing, Market Volatility, Investor Sentiment, Behavioural Finance.
