Sökning: "Prognotisering av volatilitet"

Hittade 2 uppsatser innehållade orden Prognotisering av volatilitet.

1. 1. Forecasting Efficiency in Cryptocurrency Markets : A machine learning case study

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Erik Persson; [2022]
   Nyckelord :Cryptocurrencies; Financial time-series; Multi step-ahead forecasting; Machine Learning; Feature selection; Kryptovalutor; Finansiella tidsserier; Flerstegsprognoser; Maskininlärning; variabelselektion;

   Sammanfattning : Financial time-series are not uncommon to research in an academic context. This is possibly not only due to its challenging nature with high levels of noise and non-stationary data, but because of the endless possibilities of features and problem formulations it creates. LÄS MER

3. 2. A test of GARCH models onCoCo bonds

   Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

   Författare :JIMMY HENRIKSSON; [2021]
   Nyckelord :ARCH; GARCH; CoCo-bonds; Additional Tier-1; Volatility; Volatility forecasting; ARCH; GARCH; CoCo-obligationer; AT1; Volatilitet; Prediktion av volatilitet; Prognotisering av volatilitet;

   Sammanfattning : This research investigates to what extent the ARCH model and the GARCH model forecasts one-day-ahead out-of-sample daily volatility (conditional variance) in European AT1 CoCo bonds compared to the Random Walk model. The research also investigates how different orders of ARCH and GARCH models affect the forecasting accuracy. LÄS MER