Essays about: "non payment risk"
Showing result 1 - 5 of 14 essays containing the words non payment risk.
-
1. Supply Chain Incentive Alignment in Bottom of the Pyramid environments
University essay from Lunds universitet/Teknisk logistikAbstract : Background: Alleviating poverty is critical for achieving sustainability (Zomorrodi et al., 2019). READ MORE
-
2. Determining Factors for Bonded Warehouse Implementation : Case study exploring the key resources in bonded warehouse implementation
University essay from Jönköping University/IHH, Centre of Logistics and Supply Chain Management (CeLS)Abstract : Background: Globalization has created new opportunities for firms to import and export goods across the world, international trade has gained significant importance to many. Although global trade between countries has many positive aspects, it has also demanded the right type of warehousing to store the goods as cost-efficiently as possible. READ MORE
-
3. Diffusion and adoption ofrenewable energy products forenhanced societal wellbeing : Minor field study in Handeni, Tanzania
University essay from Karlstads universitetAbstract : This study aims to understand and assess the diffusion and adoption of RES forenhanced societal wellbeing in developing countries. Furthermore, the purpose is tocontribute to a deeper understanding of the drivers and barriers (D&B) to the diffusionand adoption of RES among smallholders in rural Tanzania. READ MORE
-
4. Prediction of Short-term Default Probability of Credit Card Invoices Using Behavioural Data
University essay from KTH/Matematisk statistikAbstract : Probability of Default (PD) is a standard metric to model and monitor credit risk, a major risk facing financial institutions. Traditional PD models are used to forecast risk levels in the long-term, while short-term PD predictions are rarer, but they can support management decisions on an operational level. READ MORE
-
5. Predicting Subprime Customers' Probability of Default Using Transaction and Debt Data from NPLs
University essay from KTH/Matematisk statistikAbstract : This thesis aims to predict the probability of default (PD) of non-performing loan (NPL) customers using transaction and debt data, as a part of developing credit scoring model for Hoist Finance. Many NPL customers face financial exclusion due to default and therefore are considered as bad customers. READ MORE