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Published in 2018 at "Computational Economics"
DOI: 10.1007/s10614-017-9662-z
Abstract: Learning how to forecast is always important for traders, and divergent learning frequencies prevail among traders. The influence of the evolutionary frequency on learning performance has occasioned many studies of agent-based computational finance (e.g., Lettau…
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Keywords:
evolutionary frequency;
forecasting accuracy;
frequency forecasting;
market ... See more keywords
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Published in 2019 at "Applied Energy"
DOI: 10.1016/j.apenergy.2018.11.076
Abstract: Abstract Increasing the accuracy of short-term electricity price forecasting allows day-ahead power market participants to obtain a positive economic effect by bidding close to the equilibrium price. However the electricity price time-series is generally infested…
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Keywords:
forecasting accuracy;
price forecasting;
electricity price;
price ... See more keywords
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Published in 2020 at "Economics Letters"
DOI: 10.1016/j.econlet.2019.108836
Abstract: Abstract We analyze the quality of Bitcoin volatility forecasting of GARCH-type models applying different volatility proxies and loss functions. We construct model confidence sets and find them to be systematically smaller for asymmetric loss functions…
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Keywords:
bitcoin volatility;
volatility;
forecasting accuracy;
accuracy bitcoin ... See more keywords
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Published in 2021 at "Journal of the Operational Research Society"
DOI: 10.1080/01605682.2021.1892464
Abstract: A lot of controversy exists around the choice of the most appropriate error measure for assessing the performance of forecasting methods. While statisticians argue for the use of measures with good...
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Keywords:
selection forecasting;
forecasting accuracy;
accuracy measures;