Forecasting exchage rates using machine learning models with time-varying volatility
This thesis is focused on investigating the predictability of exchange rate returns on monthly and daily frequency using models that have been mostly developed in the machine learning field. The forecasting performance of these models will be compared to the Random Walk, which is the benchmark model...
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| Format: | Others |
| Language: | English |
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Linköpings universitet, Statistik
2012
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-79053 |