Sökning: "credit losses"
Visar resultat 1 - 5 av 90 uppsatser innehållade orden credit losses.
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. Credit Card Fraud Detection by Nearest Neighbor Algorithms
Master-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaperSammanfattning : As the usage of internet banking and online purchases have increased dramatically in today’s world, the risk of fraudulent activities and the number of fraud cases are increasing day by day. The most frequent type of bank fraud in recent years is credit card fraud which leads to huge financial losses on a global level. LÄS MER
3. Svenska Bankers Prognosutveckling för Kreditförluster under Införandet av IFRS 9 : En kvantitativ studie av redovisningsstandardens inverkan på svenska banker
Kandidat-uppsats, Södertörns högskolaSammanfattning : This study examines the impact of the transition from IAS 39 to IFRS 9 on the credit loss forecasting ability of banks, and its implications for value relevance. The implementation of IFRS 9 brought about a shift from the Incurred Credit Loss (ICL) model to the Expected Credit Loss (ECL) model, emphasizing forward-looking information. LÄS MER
4. Portfolio Risk Modelling in Venture Debt
Master-uppsats, KTH/Matematisk statistikSammanfattning : This thesis project is an experimental study on how to approach quantitative portfolio credit risk modelling in Venture Debt portfolios. Facing a lack of applicable default data from ArK and publicly available sets, as well as seeking to capture companies that fail to service debt obligations before defaulting per se, we present an approach to risk modeling based on trends in revenue. LÄS MER
5. Multi-factor approximation : An analysis and comparison ofMichael Pykhtin's paper “Multifactor adjustment”
Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistikSammanfattning : The need to account for potential losses in rare events is of utmost importance for corporations operating in the financial sector. Common measurements for potential losses are Value at Risk and Expected Shortfall. These are measures of which the computation typically requires immense Monte Carlo simulations. LÄS MER