Article history: Received 20 June 2014 Received in revised form 25 September 2014 Accepted 26 September 2014 Available online 5 October 2014 This paper investigates the time-varying impact of oil price uncertainty on stock prices in China using weekly data on ten sectoral indices over the period January 1997–February 2014. The estimation of a bivariate VAR-GARCH-in-mean model suggests that oil ...

This study develops and estimates a stochastic volatility model of commodity prices that nests many of the previous models in the literature. The model is an affine three-factor model with one state variable driving the volatility and is maximal among all such models that are also identifiable. The model leads to quasianalytical formulas for futures and options prices. It allows for time-varyin...

Crude oil pricing is commonly expressed as a formula referenced to Brent or WTI crude oil. The final price of these two qualities and the spread between WTI and Brent can drive the decision when the purchase of a crude oil cargo is evaluated. A crude oil price-forecasting model is presented. It is based on past data, inventory level and volatility index and it is derived with a neuro fuzzy infe...

the price volatility spillover effect indicates that price volatility in different markets can be mutually affected. the objective of the study is to analyze volatility price spillover effects on the vertical levels including input, wholesale and retail sale levels in the tehran beef supply chain. the multivariate generalized autoregressive conditional heteroskedastic (mvgarch) model was used b...

the agricultural products’ market has always been faced with many structural problems such as marketing weakness, price fluctuations and inadequate infrastructure and transportation in iran. a major cause of such structural problems has been referred to the traditional and inefficient structure of the agricultural products’ market. hence, iran mercantile exchange started its activity since 2007...

Commodity prices tend to be volatile, and volatility itself varies over time. Changes in volatility can affect market variables by directly affecting the marginal value of storage, and by affecting a component of the total marginal cost of production: the opportunity cost of exercising the option to produce the commodity now rather than waiting for more price information. I examine the role of ...

Commodity prices tend to be volatile, and volatility itself varies over time. Changes in volatility can affect market variables by directly affecting the marginal value of storage, and by affecting a component of the total marginal cost of production: the opportunity cost of exercising the option to produce the commodity now rather than waiting for more price information. I examine the role of ...