Model for Forecasting Volatility in Indian Stock Market : The Volatility Index

By: Material type: ArticleArticleLanguage: ENG Series: ; 14Publication details: Jul 2008 0Edition: 7Description: 5-14 PpSubject(s): DDC classification:
  •  Jad
Online resources: Summary: At present, India's economy looks upbeat with an increase in investment in the stock market. At the same time, it is also seen that the market fluctuations are very high. Such high levels of fluctuations or volatility make it difficult to predict the future expected values of the market and make investment decisions. Similarly, volatility is an important component for estimating the option price using the Black Scholes model. In such a situation, having an estimate of future volatility is very useful. Similar to the price indices that are used as indicators of the overall market value and returns, volatility indices are used as indicators of expected market volatility over a future period. Such indices exist in the US and the European countries. The CBOE Volatility Index or VIX is the first volatility index of its kind providing volatility forecasts on a continuous basis for the Chicago Board of Exchange. The present study looks into the aspect of construction of such an index in the Indian context. The study aims to construct an Indian Market Volatility Index (IMVI) for the Indian stock market using the Nifty option series which are based on the S&P CNX Nifty Index. The study also aims to validate the predictive properties and effectiveness of IMVI. The results of this study are expected to offer guidance for the future researchers in the area of market microstructure. Though this study focuses on constituting the index on a daily basis, the index can be further developed for continuous prediction.
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At present, India's economy looks upbeat with an increase in investment in the stock market. At the same time, it is also seen that the market fluctuations are very high. Such high levels of fluctuations or volatility make it difficult to predict the future expected values of the market and make investment decisions. Similarly, volatility is an important component for estimating the option price using the Black Scholes model. In such a situation, having an estimate of future volatility is very useful. Similar to the price indices that are used as indicators of the overall market value and returns, volatility indices are used as indicators of expected market volatility over a future period. Such indices exist in the US and the European countries. The CBOE Volatility Index or VIX is the first volatility index of its kind providing volatility forecasts on a continuous basis for the Chicago Board of Exchange. The present study looks into the aspect of construction of such an index in the Indian context. The study aims to construct an Indian Market Volatility Index (IMVI) for the Indian stock market using the Nifty option series which are based on the S&P CNX Nifty Index. The study also aims to validate the predictive properties and effectiveness of IMVI. The results of this study are expected to offer guidance for the future researchers in the area of market microstructure. Though this study focuses on constituting the index on a daily basis, the index can be further developed for continuous prediction.

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