Sökning: "GARCH models"
Visar resultat 16 - 20 av 217 uppsatser innehållade orden GARCH models.
16. Stock Market Volatility in the Context of Covid-19
Magister-uppsats, Jönköping University/IHH, FöretagsekonomiSammanfattning : The global economy has been severely impacted during the Covid-19 period. The U.S. stock market has also experienced greater volatility. LÄS MER
17. Stock Price Prediction Using Machine Learning
Magister-uppsats, Södertörns högskola/NationalekonomiSammanfattning : Accurate prediction of stock prices plays an increasingly prominent role in the stock market where returns and risks fluctuate wildly, and both financial institutions and regulatory authorities have paid sufficient attention to it. As a method of asset allocation, stocks have always been favored by investors because of their high returns. LÄS MER
18. Explaining the dynamics of exchange rate volatility
Magister-uppsats, Lunds universitet/Nationalekonomiska institutionenSammanfattning : This research examines the volatility of the Swedish krona in regards to the Euro and US-dollar exchange rate, using both daily and monthly data ranging from the beginning of 2000 until 2022. Using this time span allows us to update previous literature on exchange rate volatility, and also incorporates recent economic events such as the great financial crisis of 2008, the 2020 covid-pandemic and the geopolitical uncertainty in Europe following Russia's invasion of Ukraine. LÄS MER
19. Improving term structure measurements by incorporating steps in a multiple yield curve framework
Master-uppsats, Linköpings universitet/ProduktionsekonomiSammanfattning : By issuing interest rate derivative contracts, market makers such as large banks are exposed to undesired risk. There are several methods for banks to hedge themselves against this type of risk; one such method is the stochastic programming model developed by Blomvall and Hagenbjörk (2022). LÄS MER
20. Statistical modelling of Bitcoin volatility : Has the sanctions on Russia had any effect on Bitcoin?
Kandidat-uppsats, Stockholms universitet/Statistiska institutionenSammanfattning : This thesis aims to fit and compare different time series models namely the ARIMA-model, conditional heteroscedastic models and lastly a dynamic regression model with ARIMA error to Bitcoin closing price data that spans over 5 consecutive years. The purpose is to evaluate if the sanction on Russia had any effect on the cryptocurrency Bitcoin. LÄS MER