| Summary: | Price volatility presents the investor possibilities and opportunities to buy securities at cheap prices and then sell it when they are overpriced, resulting in a profit at the end of the day. Recently, the volatility has become more valuable aspect for investors. Investment risk and return is important for investors. Investors have risk averse nature, they concerned about the information flow of stock price volatility. This study aims to review the literature on stock price volatility significance and its measurements by different methods. This study provides the detail review of stock price volatility different types including historical, implied, intraday, and indices volatility. This study discusses various measurements of stock price volatility forecasting with the empirical findings. Efficient market hypothesis supports the changes in stock prices in prior literature. Some studies shows that volatility can be measured by standard deviation of investor’s stock return. The price volatility mostly determined by high, low and closing prices. It is found that forecasting volatility can be measured by different methods. The literature review suggests that GARCH and Parkinson formula is considered most reliable method to measure volatility. Parkinson is more reliable measurement because it has daily high and low stock prices.
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