Sökning: "Financial Time Series"
Visar resultat 1 - 5 av 251 uppsatser innehållade orden Financial Time Series.
1. ON THE CVA OF CREDIT DEFAULT SWAPS: THE IMPLICATION OF DEPENDENCE USING A COPULA APPROACH
Master-uppsats, Göteborgs universitet/Graduate SchoolSammanfattning : This study examines the nature and background to the Credit Value Adjustment(CVA), a concept that has gained focus due the it’s heightened importance for financial institutions subsequent to the 2008 financial crisis. CVA can be defined as the the price that should be added to the bilateral defaultable contract to adjust for the existing Counterparty Credit Risk (CCR) so that the contract will have the same value as a corresponding risk-free contract. LÄS MER
2. CAViaR and Cross-sectional quantile regression models to assess risk in S&P500 sectors
Master-uppsats, Göteborgs universitet/Graduate SchoolSammanfattning : The aim of this thesis is to investigate the performance of different models used in risk management to identify and control risks that may negatively impact company operations due to unpredictable events. More specifically, the object of this paper is the discussion of a cross-sectional quantile regression model (CSQR) and the CAViaR model, which is a time series quantile regression model. LÄS MER
3. Big Data and Analytics with Driving Data : Implementation and Analysis of Data Pipeline and Data Processing Resources
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : This thesis project was conducted in cooperation with Zenseact for the purpose of investigating the possible usage of Google BigQuery and its capabilities to store and provide insights of large time-series data. An end-to-end data pipeline was built to facilitate the movement of data from Zenseact's local servers and ingestion into BigQuery. LÄS MER
4. Impact of Inflation on Return and Pricing of Swedish Bank Stocks : A Fama-French Analysis on Monthly Stock Returns and Pricing of Handelsbanken, Swedbank, SEB and Nordea
Kandidat-uppsats, Uppsala universitet/Nationalekonomiska institutionenSammanfattning : This study explores the influence of inflation on the monthly total stock returns and stock pricing of Swedish banks. The research question is systematically examined througha cross sectional and time series analysis, utilizing Fama-French, Carhart, and Fama-Macbeth metodologies. LÄS MER
5. On modelling OMXS30 stocks - comparison between ARMA models and neural networks
Master-uppsats, Uppsala universitet/Matematiska institutionenSammanfattning : This thesis compares the results of the performance of the statistical Autoregressive integrated moving average (ARIMA) model and the neural network Long short-term model (LSTM) on a data set, which represents a market index. Both models are used to predict monthly, daily, and minute close prices of the OMX Stockholm 30 Index. LÄS MER