Derivative is the greatest financial innovations made in the history of finance.In India, Derivatives instruments such as Index futures, stock futures, stock options were introduced from 2000 onwards.The Bombay Stock Exchange lunched derivatives trading in the form of Index futures on June 9, 2000, followed by Index futures contracts on the S&P CNX Nifty Index of National Stock Exchange on June 12, 2000. After futures trading is introduced, the economic literature has intensified the debate over the impact of futures trading on the underlying spot index volatility. The impact of futures trading on the spot price volatility is a research topic around the world. It is intended to study the impact of index futures trading on the underlying spot index volatility. The study employs both standard deviations as well as advanced econometric models such as ARCH/GARCH. The results report that, the introduction of futures trading has resulted in decline in the spot market volatility, due to the futures trading, as the methodology employed has effectively isolated the volatility caused by futures trading from the volatility arising due to market wide factors.
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This digital document is a journal article from Journal of Financial Markets, published by Elsevier in 2006. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.Description: Using unique data, we address the issue of price formation in a limit order market. A standard volume-volatility relation is documented with the number of trades acting as the important component of volume. The main contribution of the paper is to identify strong evidence that volume, volatility, and the volume-volatility relation are negatively related to the order book slope. These results are robust to the inclusion of several liquidity measures. A significant empirical relationship between the order book slope and the coefficient of variation in earnings forecasts by financial analysts suggests that the slope is proxying for disagreement among investors. Hence, our results support models where investor heterogeneity intensifies the volume-volatility relation.
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