CORDIS Project
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This research focuses on improving volatility forecasting methods in finance by developing a model evaluation framework that accounts for non-normal distributions of forecast errors. The goal is to enhance risk measurement accuracy during financial crises.
Predicting volatility is of great importance in measuring and managing risk more accurately.
Volatility is measured, estimated and predicted by a vast number of model frameworks.
Though, researcher has to select a specific model for his/her forecasting purposes.
Thus, the models are evaluated in order to extract the most adequate model for forecasting purposes.Under the Marie Curie Intra-European Fellowships Grand, we define a method of evaluating the predictability of the models, which assumes…
ATHENS UNIVERSITY OF ECONOMICS AND BUSINESS - RESEARCH CENTER
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