2018
DOI: 10.2139/ssrn.3538154
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Combining GARCH Model Forecasts of Volatility With Alternative Weighting Schemes in Electricity Markets

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“…The motivation to combine GARCH models derives from the absence of a single best model for forecasting volatility and the fact that many models perform similarly. Initially implemented by Bates and Granger [40], combining forecasts from different models has subsequently been applied extensively to electricity markets (see [41][42][43][44][45][46][47][48][49][50] as examples). (For the purpose of clarification, we applied the GARCH model to estimate the volatility.…”
Section: Modelling Volatilitymentioning
confidence: 99%
“…The motivation to combine GARCH models derives from the absence of a single best model for forecasting volatility and the fact that many models perform similarly. Initially implemented by Bates and Granger [40], combining forecasts from different models has subsequently been applied extensively to electricity markets (see [41][42][43][44][45][46][47][48][49][50] as examples). (For the purpose of clarification, we applied the GARCH model to estimate the volatility.…”
Section: Modelling Volatilitymentioning
confidence: 99%