Asymmetric Conditional Volatility Estimation of Stock Prices in India Natchimuthu N*, Jayakrishnan Ashwati**, Bhuvana S*** *Assistant Professor, Department of Commerce, Christ University, Bengaluru, India. natchimuthu.n@christuniversity.in **Post Graduate Scholar, Christ University, Bengaluru, India. ashwati.jayakrishnan@mcom.christuniversity.in ***Post Graduate Scholar, Christ University, Bengaluru, India. bhuvana.s@mcom.christuniversity.in Online published on 12 January, 2018. Abstract This study was aimed at estimating the conditional variance of stock price returns in India using PGARCH model. Ten companies with highest market capitalization were chosen from National Stock Exchange (NSE). The data for a period from 2006 to 2016 were collected from PROWESS database. Volatility clustering feature was found in the estimated volatility of stock returns. The stock return volatility was also found with leverage or asymmetric effect. The residual diagnostic test (ARCH LM test) after conditional volatility estimation confirms the efficiency of PGARCH model. Top Keywords PGARCH, Conditional volatility, Unit Root test, ARCH LM test, Leverage effect, Indian Capital market. Top |