Essays about: "master thesis in management of bank"

Showing result 1 - 5 of 16 essays containing the words master thesis in management of bank.

1. 1. Peeking Through the Leaves : Improving Default Estimation with Machine Learning : A transparent approach using tree-based models

   University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

   Author : Elias Hadad; Angus Wigton; [2023]
   Keywords : Machine learning; Expected credit loss; Probability of default; ECL; PD; Risk Management; Credit Risk Management; Default Estimation; AI; Artificial intelligence; Fintech; Supervised learning; Decision tree; Random forest; XG boost; Transparency; Machine learning transparency;

   Abstract : In recent years the development and implementation of AI and machine learning models has increased dramatically. The availability of quality data paving the way for sophisticated AI models. Financial institutions uses many models in their daily operations. READ MORE

3. 2. Diffusion of Condominiums : Case of Dalénum

   University essay from KTH/Industriell Management

   Author : Jonathan Boza; Seth Mandoki; [2020]
   Keywords : Condominiums; Cooperative Apartments; Form of Tenure; Dalénum; Ägarlägenheter; Bostadsrätter; Upplåtelseform; Dalénum;

   Abstract : This master thesis addresses the latest form of tenure in Sweden. More specifically we have investigated condominiums from a completed major project in Stockholm, including stakeholders as Developer, Bank, Insurer, Legislator, and the Owners of Condominiums. READ MORE

4. 3. A case study in consolidating the loss structure of different manufacturing sectors under lean context

   University essay from Lunds universitet/Produktionsekonomi

   Author : Hua Tong; Thi Minh Trang Dao; [2020]
   Keywords : Lean Manufacturing; Loss Deployment; Loss Structure; World Class Manufacturing WCM ; Technology and Engineering;

   Abstract : In the light of lean methodology, World Class Manufacturing requires continuous improvement in analyzing the losses to eliminate the wasteful resources and to boost the overall productivity. However, the standardized loss structure should be well-balanced to be general enough to cover the whole manufacturing procedure while being specific enough to point out the real issues happening for further improvement. READ MORE

5. 4. Optimization of Collateral allocation for Securities Lending : An Integer Linear Programming Approach

   University essay from KTH/Optimeringslära och systemteori

   Author : Magnus Orrsveden; Emil Tarukoski; [2019]
   Keywords : Collateral Management; Collateral optimization; Operations Research; Linear Programming; Collateral Management; Collateral optimization; Operations Research; Linear Programming;

   Abstract : Collateral management has, during the most recent years, been an increasingly important part of a bank’s operation. The bank is facing an allocation problem of how to post collateral to all its counterparties in order to mitigate the credit risk and the number of transactions that requires collateralization is increasing. READ MORE

6. 5. Cornerstone Investors on the Swedish IPO Market – Salvation or Damnation?

   University essay from Lunds universitet/Företagsekonomiska institutionen

   Author : Jonathan Engman; Markus Leveen Pehrson; [2017]
   Keywords : Business and Economics;

   Abstract : Title: The effect of cornerstone investors on the Swedish IPO market - An event study on underpricing, aftermarket performance and effects of cornerstone investors Seminar date: 2017-05-29 Course: BUSN79: Degree Project in Accounting and Finance: Corporate Financial Management, Master level, 15 ECTS Authors: Jonathan Engman & Markus Levéen Pehrson Supervisor: Maria Gårdängen Purpose: The primary goal of this paper is to investigate cornerstone investor effect on underpricing and aftermarket performance in Swedish IPOs. By collecting an original and meticulous data set, the study examines underpricing, measured as first day returns, and aftermarket performance, measured in abnormal returns, one week to six months’ post-IPO. READ MORE