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The IUP Journal of Financial Risk Management
Price Discovery in Nse Spot and Futures Markets of Selected Oil and Gas Industries in India: What Causes What?
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Johansen's cointegration technique followed by the Vector Error Correction Model (VECM) were employed to examine the causal relationship between National Stock Exchange (NSE) spot and futures markets prices of selected nine oil and gas industry stocks of India. The empirical analysis was conducted on the daily data series from May 12, 2005 to January 29, 2009. The analysis reveals that there exists a long-run relationship between spot and futures prices of each of the selected individual securities. Besides, the study also indicates a bidirectional relationship between spot and futures markets prices in the case of four oil industry stocks, spot leading the futures price in the case of three stocks, and the futures leading the spot price in the case of two selected gas and oil industry stocks.

 
 
 

The futures market trading was introduced in Indian financial markets in June 2000 and options index commenced from June 2001, and subsequently trading of the options and futures on individual securities commenced from July 2001 and November 2001, respectively. The futures derivative trading on stock indexes as well as individual stocks has grown rapidly since its very inception and performs important economic functions such as price discovery, portfolio diversification and opportunity for market participants to hedge against the risk of adverse price movements. Hence, the movements of spot market price have been largely influenced by speculation, hedging and arbitrage activity of futures markets. Thus, understanding the influence of one market on the other and the role of each market segment in price discovery is the central question in market microstructure design and has become an increasingly important research issue among academicians, regulators and practitioners alike, as it provides an idea about the market efficiency, volatility, hedging effectiveness and arbitrage opportunities, if any. Price discovery is the process of revealing information about future spot prices through the futures markets. The essence of the price discovery function hinges on whether new information is reflected first in changes of futures prices or changes of spot prices. Hence, there exists a lead-lag relationship between spot and futures markets through information dissemination. All the information available in the marketplace is immediately incorporated in the prices of assets in an efficient market. So, new information disseminating into the market should be reflected immediately in spot and futures prices simultaneously. This will lead to perfect positive contemporaneous comovement between the prices of those markets and there will be no systematic lagged response, and therefore, no arbitrage opportunity. This prediction arises directly from the Cost-of-Carry (COC) model of futures pricing which postulates that:

Accordingly, there exist diversified theoretical arguments pertaining to the causal relationship between spot and futures markets by information dissemination. The main arguments in favor of futures market leading spot market are mainly due to the advantages provided by the futures market such as higher liquidity, lower transaction costs, lower margins, easy leverage positions, rapid execution, and greater flexibility for short positions. Such advantages attract larger informed traders and cause the futures market to react first when market-wide information or major stock-specific information arrives. Thus, the futures prices lead the spot market prices. On the other hand, the low-cost contingent strategies and high degree of leverage benefits in futures market attract larger speculative traders from the spot market to a more regulated futures market segments. Hence, this ultimately reduces the informational asymmetries of the spot market by reducing the amount of noise trading and helps in price discovery, improves the overall market depth, enhances market efficiency, and increases market liquidity. This makes spot market to react first when market-wide information or major stock-specific information arrives.

 
 
 

Financial Risk Management Journal, Vector Error Correction Model, VECM, National Stock Exchange, NSE, Market Microstructure Design, Major Market Index, MMI, Weighted Least Squares WLS, Shares Prices Index, SPI, Error Correction Model, ECM, Schwarz Information Criterion, Correlation technique, All Ordinaries Index, AOI, Augmented Dickey Fuller, ADF.