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The paper seeks to answer the question of how price forecasting can contribute to which techniques gives the most accurate results in the futures commodity market. A total of two families of models (decision trees, artificial intelligence) were used to produce estimates for 2018 and 2022 for 21-...
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This paper evaluates how different types of speculation affect the volatility of commodities' futures prices. We adopt …-2010 analyzed at weekly frequency. Using GARCH models we find that speculation significantly affects volatility of returns: short … term speculation has a positive and significant impact on volatility, while long term speculation generally has a negative …
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We provide a comprehensive view on volatility dynamics in precious metals and crude oil markets. Using high … volatility of Gold, Silver and Crude Oil futures. We model realized volatility as a linear function of lagged realized volatility … volatility. We document considerable changes in the relative importance of short-, mid-, and long-term volatility components …
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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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