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Commodity markets present several challenges for quantitative modeling. These include high volatilities, small sample data sets, and physical, operational complexity. In addition, the set of traded products in commodity markets is more limited than in financial or equity markets, making value...
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-varying volatility of the data generating process can have rather adverse effects when inferring about its persistence; e.g. unit root … conditional heteroskedasticity). The paper explores the influence of time-varying volatility on fractionally integrated processes …. Concretely, we discuss how to model long memory in the presence of time-varying volatility, and analyze the effects of such …
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This paper investigates the degree of persistence of market fear. Specifically, two different long-memory approaches (R …/S analysis with the Hurst exponent method and fractional integration) are used to analyse persistence of the VIX index over the … future values), whilst during crisis period the level of persistence is increasing. These results can be informative about …
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This paper investigates the degree of persistence of market fear. Specifically, two different long-memory approaches (R …/S analysis with the Hurst exponent method and fractional integration) are used to analyse persistence of the VIX index over the … properties change over time: in normal periods it exhibits anti-persistence (there is a negative correlation between its past and …
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