Volatility is measured as a risk and plays vital role in many financial decisions. The central part of this study is to capture the existence of the volatility in the regional financial markets (Karachi, Bombay, China, Korea and Hong Kong) have been included and the sample of daily stock return from Jan 1,2013 to Dec 31,2017 taken for the testing. The volatility and its stylized facts were under consideration by using ARCH / GARCH(1,1) and Half-life that are very common to use to grab the volatility and they are also known as symmetric volatility model. The GARCH(1,1) has been applied and found that the financial time series of the regional markets has the volatility and it stylized facts, speed of mean reversion, fat tail and one half-life reverting to it mean satisfactorily.

Keywords: volatility, Speed of mean reversion, GARCH, Half -life.