This paper takes an innovative look at the relationship between the pricing of commodity futures contracts and its relation to storage and speculation. Fifteen commodities are analyzed over the time period from 1990 to 2010. Contrary to other studies, we analyze temporary and permanent futures...

Headline inflation in most industrialized countries, the US in particular, has been shown to be mean reverting to core inflation in the medium term, whilst at the same time the pass-through of exogenous commodity price shocks from the headline to the core has dramatically gone down as a result...

India has witnessed a limited progress in Agricultural Market Information Services (AMIS) confining to dissemination of the available information rather than improving its extent of coverage, quality and timeliness. The paper attempts to discuss the critical gaps in the existing system of AMIS...

The first decade of the 21st century saw wide fluctuations in commodity prices and a massively increased participation of financial investors in the commodity derivatives markets. The investigation of whether the presence of financial investors was responsible for these fluctuations - and, more...

This paper studies comovements in commodity futures markets. We compare factor models with respect to their fit of commodity return comovements. A model based on traded long-short portfolio returns outperforms a macroeconomic model, and explains 96% of the realised comovement. Dissecting the...

The paper studies the return-volatility relationship in a range of commodities. We develop a commodity price model and show that the volatility of price changes can be positively or negatively related to demand shocks. An “inverse leverage effect” – the volatility is higher following...

Commodity is one of the most volatile markets and forecasting its volatility is an issue of paramount importance. We study the dynamics of the commodity markets volatility by employing fractional stochastic volatility and heterogeneous autoregressive (HAR) models. Based on a high-frequency...

This paper uses Meta-Granger analysis to explain and summarize the mixed results in the literature on the impact of financial speculation on commodity prices. The sample covers 2,106 manually collected p-values from Granger causality (GC) tests reported in 54 prior studies. Our results show that...

This paper studies the effects of financial speculation on commodity futures returns, using publicly available data from the US Commodity Futures Trading Commission, aggregated by trader groups. We exploit the heteroskedasticity in the weekly data to identify exogenous variation in speculators'...

This paper investigates price jumps in commodity markets. We find that jumps are rare and extreme events but occur less frequently than in stock markets. Nonetheless, jump correlations across commodities can be high depending on the commodity sectors. Energy, metal and grains commodities show...