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Futures trading and commodity spot market volatility: Empirical evidence on selected commodities in Indian market

机译:期货交易和商品现货市场波动性:印度市场精选商品的经验证据

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This paper examines the possible effects of commodity futures trading on commodity spot price volatility in Indian market using GARCH family models. We examine daily trading and hedging activities effects by incorporating futures trade volume and open interest, respectively, to represent the two variables. These two variables are decomposed into expected and unexpected components. We also investigate the dynamic relationship between commodities spot volatility and futures trading activity. Following Koch [Journal of Banking and Finance 17(6) (1993), 1191-1205], we posit that VAR and ordinary least square model may lead to spurious results as there could be contemporaneous interdependence in structural relationships between variables. Therefore, we use simultaneous equation model (SEM) and Three Stage Least Square (3SLS). The results of GJR-GARCH model indicate that most of the coefficients of unexpected futures trading activities are statistically insignificant except for a few cases. Also, expected futures volume has positive and expected open interest has negative impact on the spot price volatility. The results of contemporaneous coefficients of the SEM model show that unexpected futures trading volume and open interest have significant positive and negative impact, respectively, on the spot market volatility. The bilateral causal relationships between spot volatility and unexpected trading activity components are observed in most of the commodities.
机译:本文使用GARCH族模型研究了商品期货交易对印度市场商品现货价格波动的可能影响。我们分别结合了期货交易量和未平仓合约来代表两个变量,从而研究了日常交易和对冲活动的影响。这两个变量被分解为预期和意外组件。我们还研究了商品现货波动与期货交易活动之间的动态关系。遵循Koch [Journal of Banking and Finance 17(6)(1993),1191-1205],我们假设VAR和普通最小二乘模型可能导致虚假结果,因为变量之间的结构关系可能同时存在相互依赖性。因此,我们使用联立方程模型(SEM)和三阶段最小二乘(3SLS)。 GJR-GARCH模型的结果表明,除少数情况外,大多数意料之外的期货交易活动的系数在统计上都不重要。此外,预期期货交易量为正,预期未平仓合约对现货价格的波动具有负面影响。 SEM模型的同时系数结果表明,意料之外的期货交易量和未平仓合约分别对现货市场的波动具有明显的正和负影响。在大多数商品中,都发现了现货波动率和意外交易活动成分之间的双边因果关系。

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