Essays about: "banking application"
Showing result 1 - 5 of 63 essays containing the words banking application.
-
1. Data-driven decisions in Sports
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : In recent years, many sectors such as insurance, banking, retail, etc. have adopted Big Data architectures to boost their business activities. Such tools not only suppose a greater profit for thesecompanies but also allow them to gain a better understanding of their customers and their needs. READ MORE
-
2. Open Banking: Application difficulties & API security, under PSD2.
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : .... READ MORE
-
3. Increasing explainability of neural network based retail credit risk models
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Due to their ’black box’ nature, Artificial Neural Networks (ANN) are not permitted for use in various applications. One such application is mortgage credit risk modeling. READ MORE
-
4. RNN-based Graph Neural Network for Credit Load Application leveraging Rejected Customer Cases
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Machine learning plays a vital role in preventing financial losses within the banking industry, and still, a lot of state of the art and industry-standard approaches within the field neglect rejected customer information and the potential information that they hold to detect similar risk behavior.This thesis explores the possibility of including this information during training and utilizing transactional history through an LSTM to improve the detection of defaults. READ MORE
-
5. Networks of spillover effects to spot systemic risk in the banking industry: testing Granger causality in a high dimensional VAR model
University essay from Lunds universitet/Nationalekonomiska institutionenAbstract : In this essay the evolution of global systemic risk is investigated by creating networks (and communities) of contagion among 88 banks that are deemed systemically important on a global level (particularly western economy). The contagion is defined by a Granger Causality relation between two individuals in the network, this is tested using the Post double selection method described in Margartitella et al. READ MORE