Showing 1 - 10 of 1,166
This paper evaluates how different types of speculation affect the volatility of commodities' futures prices. We adopt four indexes of speculation: Working's T, the market share of non-commercial traders, the percentage of net long speculators over total open interest in future markets, which...
Persistent link: https://www.econbiz.de/10009756298
This paper analyses futures prices for four energy commodities (light sweet crude oil, heating oil, gasoline and natural gas) and five agricultural commodities (corn, oats, soybean oil, soybeans and wheat), over the period 1986-2010. Using CCC and DCC multivariate GARCH models, we find that...
Persistent link: https://www.econbiz.de/10010343837
This paper analyses futures prices for four energy commodities (light sweet crude oil, heating oil, gasoline and natural gas) and five agricultural commodities (corn, oats, soybean oil, soybeans and wheat), over the period 1986-2010. Using CCC and DCC multivariate GARCH models, we find that...
Persistent link: https://www.econbiz.de/10009535531
Persistent link: https://www.econbiz.de/10013120799
In assessing drivers of commodity prices and volatility at this stage of the current super-cycle in commodities (year 12 of a projected 25), it is vital to understand that production cost is a fundamental. Moreover, marginal production costs are among the most powerful drivers of commodity...
Persistent link: https://www.econbiz.de/10013120803
This paper evaluates how different types of speculation affect the volatility of commodities' futures prices. We adopt four indexes of speculation: Working's T, the market share of non-commercial traders, the percentage of net long speculators over total open interest in future markets, which...
Persistent link: https://www.econbiz.de/10013081164
This paper analyses futures prices for four energy commodities (light sweet crude oil, heating oil, gasoline and natural gas) and five agricultural commodities (corn, oats, soybean oil, soybeans and wheat), over the period 1986-2010. Using CCC and DCC multivariate GARCH models, we find that...
Persistent link: https://www.econbiz.de/10013091156
Granger causality (GC) tests are widely used when it comes to empirically address the dynamic relationship between speculative activities and pricing on commodity markets. However, the sheer number of studies and their heterogeneity makes it extremely difficult – if not impossible – to...
Persistent link: https://www.econbiz.de/10012903961
We examine how media coverage of fluctuations in the price of agricultural commodities affects these prices and their volatility. We develop a unified empirical framework to analyze the media's effects on both returns and volatility using insights from the literature. We use daily prices of...
Persistent link: https://www.econbiz.de/10012943866
This paper evaluates how different types of speculation affect the volatility of commodities' futures prices. We adopt four indexes of speculation: Working's T, the market share of non-commercial traders, the percentage of net long speculators over total open interest in future markets, which...
Persistent link: https://www.econbiz.de/10013079017