Informational Content of Trading Volume and Open Interest - An Empirical Study of Stock Option Market in India

2003 ◽  
Author(s):  
Sandeep Srivastava
Keyword(s):  
Empirical Study ◽  
Trading Volume ◽  
Stock Option ◽  
Informational Content ◽  
Open Interest ◽  
Option Market

scholarly journals Significance of Non-Price Variables in Price Discovery: An Empirical Study of Stock Option Market in India

2008 ◽  
Vol 33 (2) ◽  
pp. 15-24 ◽  
Author(s):  
Sandeep Srivastava ◽  
Surendra S Yadav ◽  
P K Jain
Keyword(s):  
Financial Markets ◽  
Price Discovery ◽  
Stock Option ◽  
Stock Index ◽  
Open Interest ◽  
Option Contracts ◽  
The Future ◽  
Intraday Data ◽  
Derivative Market ◽  
Option Market

The efficiency of the financial markets is important as it ensures increased productive efficiency and economic growth through better capital allocation. Price discovery is the central aspect of financial markets. The relatively efficient price signals also facilitate the participation of uninformed investors to make suitable portfolio choices. Derivative instruments like option contracts enhance informational efficiency of the underlying's market through better price discovery as these securities are expected to increase the flow of information in the market. Besides, they facilitate hedging of risk. In India, exchange-trade derivates are of recent origin in the stock market. This study investigates the significance of net open interest and trading volume in stock option and stock index option market to predict the underlying stock prices⁄index level. In the study, only 15 stock option contracts (having maturity of one-month) and Nifty options for the entire period, i.e., November 10, 2001 to November 2, 2004, have been analysed. The analysis could not be carried out for all the stocks in option segment because of the fact that the options were not traded or the trading range and volumes were too thin to justify any analysis. The major findings of the study are as follows: Net open interest of stock option is one of the significant variables in the determination of the future spot price of the underlying stock. Open interest-based predictors are statistically more significant than the volume-based predictors in the Indian context too as is the case for the US market. The trading behaviour of Indian investors is found to be different from their counterparts in the developed world. This difference can be attributed to: the nascent state of derivatives market in India extremely limited participation of institutional investors in the Indian stock derivative market because of regulatory restrictions; as such investors are allowed to use derivative securities mainly for hedging and arbitrage purposes only. The findings would definitely help the regulatory bodies in policy-making and further strengthening the efforts to promote the derivative market in India. There are many areas which are still unexplored and can be addressed by the future studies by using the intraday data and a larger sample for the stock options.

scholarly journals Agricultural Commodity Trading: Is it Destabilizing Spot Markets?

2018 ◽  
Vol 43 (1) ◽  
pp. 47-57 ◽  
Author(s):  
C. P. Gupta ◽  
Sanjay Sehgal ◽  
Sahaj Wadhwa
Keyword(s):  
Causal Relationship ◽  
Trading Volume ◽  
Spot Market ◽  
Market Volatility ◽  
Future Market ◽  
Soy Oil ◽  
Open Interest ◽  
Future Trading ◽  
The Future ◽  
Spot Volatility

Executive Summary The future trading has been held responsible by certain political and interest groups of enhancing speculative trading activities and causing volatility in the spot market, thereby further spiralling up inflation. This study examines the effect of future of trading activity on spot market volatility. The study first determined the Granger causal relationship between unexpected future trading volume and spot market volatility. It then examined the Granger causal relationship between unexpected open interest and spot market volatility. The spot volatility and liquidity was modelled using EGARCH and unexpected trading volume. The expected trading volume and open interest was calculated by using the 21-day moving average, and the difference between actual and expected component was treated as the unexpected trading volume and unexpected open interest. Empirical results confirm that for chickpeas ( channa), cluster bean ( guar seed), pepper, refined soy oil, and wheat, the future (unexpected) liquidity leads spot market volatility. The causal relationship implies that trading volume, which is a proxy for speculators and day traders, is dominant in the future market and leads volatility in the spot market. The results are in conformity with earlier empirical findings — Yang, Balyeat and Leathan (2005) and Nath and Lingareddy (2008) —that future trading destabilizes the spot market for agricultural commodities. Results show that there is no causal relationship between future open interest and spot volatility for all commodities except refined soy oil and wheat. The findings imply that open interest, which is a proxy of hedging activity, is leading to volatility in spot market for refined soy oil and wheat. The results are in conformity to earlier empirical studies that there is a weak causal feedback between future unexpected open interest and volatility in spot market ( Yang et al., 2005 ). For chickpeas (channa), the increase in volatility in the spot market increases trading activity in the future market. The findings are contrary to earlier empirical evidence ( Chatrath, Ramchander, & Song, 1996 ; Yang et al., 2005 ) that increase in spot volatility reduces future trading activity. However, they are in conformity to Chen, Cuny and Haugen (1995) that increase in spot volatility increases future open interest. The results reveal that the future market has been unable to engage sufficient hedging activity. Thereby, a causal relationship exists only for future trading volume and spot volatility, and not for future open interest and spot volatility. The results have major implications for policymakers, investment managers, and for researchers as well. The study contributes to literature on price discovery, spillovers, and price destabilization for Indian commodity markets.

Volatility, trading volume and open interest in futures markets

2016 ◽  
Vol 12 (5) ◽  
pp. 629-653 ◽  
Author(s):  
Christos Floros ◽  
Enrique Salvador
Keyword(s):  
Interest Rates ◽  
Trading Volume ◽  
Futures Markets ◽  
Empirical Relation ◽  
Impulse Response Functions ◽  
Open Interest ◽  
Content Type ◽  
Daily Data ◽  
Relevant Role ◽  
Stage Estimation

Purpose The purpose of this paper is to examine the effect of trading volume and open interest on volatility of futures markets. The authors capture the size and change in speculative behaviour in futures markets by examining the role of liquidity variables (trading volume and open interest) in the behaviour of futures prices. Design/methodology/approach The sample includes daily data covering the period 1996-2014 from 36 international futures markets (including currencies, commodities, stock indices, interest rates and bonds). The authors employ a two-stage estimation methodology: first, the authors employ a E-GARCH model and consider the asymmetric response of volatility to shocks of different sign. Further, the authors consider a regression framework to examine the contemporaneous relationships between volatility, trading volume and open interest. To quantify the percentage of volatility that is caused by liquidity variables, the authors also regress the estimated volatilities on the measures of open interest and trading volume. Findings The authors find that: market depth has an effect on the volatility of futures markets but the direction of this effect depends on the type of contract, and there is evidence of a positive contemporaneous relationship between trading volume and futures volatility for all futures contracts. Impulse-response functions also show that trading volume has a more relevant role in explaining market volatility than open interest. Practical implications These results are recommended to financial managers and analysts dealing with futures markets. Originality/value To the best of the authors’ knowledge, no study has yet considered a complete database of futures markets to investigate the empirical relation between price changes (volatility), trading volume and open interest in futures markets.

scholarly journals Study on the Stability of an Artificial Stock Option Market Based on Bidirectional Conduction

Entropy ◽  
2013 ◽  
Vol 15 (2) ◽  
pp. 700-720 ◽  
Author(s):  
Hai-Jun Yang ◽  
Gui-Ping Sun
Keyword(s):  
Stock Option ◽  
The Stability ◽  
Option Market
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