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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...
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, i.e. exhibits seasonality. We propose a stochastic volatility jump-diffusion model to capture this seasonal variation …
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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 … its volatility, and the volatility and convenience yield. It allows for expected mean-reversion in the short term and for …
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metal price series is investigated, as well as time-varying volatility. The results demonstrate that allowing for jumps and … time-varying volatility provides statistically important improvements in the modelling or prices, relative to GBM. These …
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