Essays about: "thesis in financial time series"

Showing result 1 - 5 of 119 essays containing the words thesis in financial time series.

  1. 1. ON THE CVA OF CREDIT DEFAULT SWAPS: THE IMPLICATION OF DEPENDENCE USING A COPULA APPROACH

    University essay from Göteborgs universitet/Graduate School

    Author : Sebastian Alm; Joel Fredriksson Pregmark; [2023-06-29]
    Keywords : Credit Value Adjustment; Counterparty Credit Risk; Wrong Way Risk; Credit Default Swap; Semi-Analytical Model; Interest Rate Swap;

    Abstract : 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. READ MORE

  3. 2. CAViaR and Cross-sectional quantile regression models to assess risk in S&P500 sectors

    University essay from Göteborgs universitet/Graduate School

    Author : Vladyslava Bab’yak; [2023-06-29]
    Keywords : Value-at-Risk; CAViaR; cross-sectional quantile regression; ; risk;

    Abstract : 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. READ MORE

  4. 3. Big Data and Analytics with Driving  Data : Implementation and Analysis of Data Pipeline and Data Processing Resources

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Ivar Blohm; Erik Jarvis; [2023]
    Keywords : ;

    Abstract : 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. READ MORE

  5. 4. On modelling OMXS30 stocks - comparison between ARMA models and neural networks

    University essay from Uppsala universitet/Matematiska institutionen

    Author : Irina Zarankina; [2023]
    Keywords : ARMA; ARIMA; LSTM; time series; statistics;

    Abstract : 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. READ MORE

  6. 5. Flight to climate: liquidity commonality in brown equities

    University essay from Stockholms universitet/Företagsekonomiska institutionen

    Author : Haiping Yu; [2023]
    Keywords : ESG; ESG Investing; Climate investing; Liquidity Commonality; Systematic Liquidity Risk;

    Abstract : Emerging ESG studies have established a negative equilibrium correlation between ESG factors and stock returns in an economy predominately influenced by investors with nonpecuniary preference over high ESG credentials. However, little research has delved into a potential systematic liquidity risk phenomenon associated with aggregate trading activities of ESG-motivated investors who share a common nonzero ESG preference component in their utility function. READ MORE