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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
Commodity derivatives were introduced in India with a dual purpose of promoting price discovery and enhancing risk management in the commodities market. A transaction tax (of 0.01 per cent) on commodity futures trading was introduced in the Union Budget 2013-14. This study examines the rationale...
Persistent link: https://www.econbiz.de/10010354169
This study investigates the effects of oil price shocks on volatility of selected agricultural and metal commodities. To achieve this goal, we decompose an oil price shock to its underlying components, including macroeconomics and oil specific shocks. The applied methodology is the structural...
Persistent link: https://www.econbiz.de/10011438674
In light of the recently passed 2010 Dodd-Frank Act, we assess the effect of margin changes on prices, the risk-sharing between speculators and hedgers, and the price stability of 20 commodity futures markets. We find that margin increases decrease the rate at which prices change, yet they...
Persistent link: https://www.econbiz.de/10010472794
Trading in commodity derivatives on exchange platforms is an instrument to achieve price discovery, better price risk management, besides helping macro-economy with better resource allocation. Since the inception (2003) of national online trading on multi-commodity exchange platforms, the trade...
Persistent link: https://www.econbiz.de/10003746267
We estimate dynamic conditional correlations between 10 commodities futures returns in energy, metals and agriculture markets over the period 1998-2014 with a DCC-GARCH model. We look at the factors influencing those correlations, adopting a pooled mean group (PMG) estimator. Macroeconomic...
Persistent link: https://www.econbiz.de/10011451631
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
This paper evaluates the predictability of WTI light sweet crude oil futures by using the variance risk premium, i.e. the difference between model-free measures of implied and realized volatilities. Additional regressors known for their ability to explain crude oil futures prices are also...
Persistent link: https://www.econbiz.de/10010189497