Showing 1 - 10 of 223
This paper adopts a VAR-GARCH approach to model the dynamic linkages between both the mean and the variance of macro news and commodity returns (Gold, Corn, Wheat, Soybeans, Silver, Platinum, Palladium, Copper, Aluminium and Crude Oil) over the period 01/01/2001-26/09/2014. The chosen...
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High and volatile prices of major commodities have generated a wide array of analyses and policy prescriptions, including influential studies identifying price bubbles in periods of high volatility. Here we consider a model of the market for a storable commodity in which price expectations are...
Persistent link: https://www.econbiz.de/10013082152
This paper analyzes whether commodity futures prices traded in the United States reveal information relevant to stock prices of East Asian economies including China, Japan, Hong Kong, South Korea, and Taiwan. We find significant and positive predictive powers of overnight futures returns of...
Persistent link: https://www.econbiz.de/10013071915
The large inflow of investment capital to commodity futures markets in the last decade has generated a heated debate about whether financialization distorts commodity prices. Rather than focusing on the opposing views concerning whether investment flows either did or did not cause a price...
Persistent link: https://www.econbiz.de/10013072871
In this paper we investigate the time-varying relationship between oil and natural gas in the UK. We develop a model where relative prices can move between pricing-regimes; markets switch between being decoupled and integrated. Our model endogenously accounts for periods where oil and natural...
Persistent link: https://www.econbiz.de/10010212645
Recent experience has given rise to the financialization view: increased trading in commodity fu­tures markets leads to an increase in the level and volatility of spot prices. We construct a large panel data set which includes commodities with and without futures markets. The data do not...
Persistent link: https://www.econbiz.de/10012948088
We use variance decompositions from high-dimensional vector autoregressions to characterize connectedness in 19 key commodity return volatilities, 2011-2016. We study both static (full-sample) and dynamic (rolling-sample) connectedness. We summarize and visualize the results using tools from...
Persistent link: https://www.econbiz.de/10012949432