Impact of grading of IPOs in short run price performance in India: A regression model approach

Capital markets all over the world are subject to information asymmetry where the potential investors have inferior knowledge about the company. As a step to make markets efficient SEBI introduced a new mechanism of grading of IPOs in 2006. Grades assigned by different credit rating agencies acts as signal of quality of the company. The objective of this study is to analyze the impact of grading of IPOs in short run price performance. Price performance is one indicator of market efficiency. Using sample of 121 IPOs listed on NSE from 2006 to 2013, IPO returns for 6 months post offer day is calculated. Control variables Beta and 6 months market return are also introduced. Statistical tool multiple linear dummy variable regression analysis is used to understand the dependence of returns from IPO to the grades assigned taking market fluctuation and sensitivity of stock returns to market fluctuations as control variables.