Essays about: "risk curves"
Showing result 1 - 5 of 57 essays containing the words risk curves.
-
1. Credit Card Fraud Detection by Nearest Neighbor Algorithms
University essay from Göteborgs universitet/Institutionen för matematiska vetenskaperAbstract : 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. READ MORE
-
2. Modelling Proxy Credit Cruves Using Recurrent Neural Networks
University essay from KTH/Matematisk statistikAbstract : Since the global financial crisis of 2008, regulatory bodies worldwide have implementedincreasingly stringent requirements for measuring and pricing default risk in financialderivatives. Counterparty Credit Risk (CCR) serves as the measure for default risk infinancial derivatives, and Credit Valuation Adjustment (CVA) is the pricing method used toincorporate this default risk into derivatives prices. READ MORE
-
3. Modeling of Foreign Exchange Swap Distributions : A statistical evaluation of two stochastic models
University essay from Linköpings universitet/ProduktionsekonomiAbstract : The global foreign exchange (FX) market is one of the world's largest financial markets and a significant part of this market concerns the trading of FX swaps. For banks and other financial institutions, it is of great interest to model these swaps as accurately as possible, as this could improve their risk management. READ MORE
-
4. Don’t go nuts over nuts : an analysis of policy to reduce water scarcity caused by nuts
University essay from SLU/Dept. of EconomicsAbstract : The aim of this paper is to investigate the potential possibilities of reducing water scarcity, by targeting the water intensive consumption of nuts. Therefore, the research question is if consumption-based policies can decrease the consumption of nuts in Sweden, in order to reduce water scarcity in sensitive areas. READ MORE
-
5. Credit risk modelling and prediction: Logistic regression versus machine learning boosting algorithms
University essay from Uppsala universitet/Statistiska institutionenAbstract : The use of machine learning methods in credit risk modelling has been proven to yield good results in terms of increasing the accuracy of the risk score as- signed to customers. In this thesis, the aim is to examine the performance of the machine learning boosting algorithms XGBoost and CatBoost, with logis- tic regression as a benchmark model, in terms of assessing credit risk. READ MORE