Browsing Norges Handelshøyskole by Title
Now showing items 4737-4756 of 8598
-
M a rkedsreaksjoner ved CEO bytter : En empirisk studie av kortsiktige og langsiktige effekter ved CEO-bytter på Oslo Børs i perioden 2010-2023
(Master thesis, 2023)Denne utredningen undersøker markedsreaksjoner ved CEO-bytter på Oslo Børs på kort og lang sikt. Vi benytter et utvalg bestående av 265 bytter i perioden 2010-2023. Ved bruk av event-studie finner vi en signifikant ... -
M&A announcements in the Nordic banking sector : An event study analysis of bidder and target returns
(Master thesis, 2024)This study examines the impact of M&A announcements in the Nordic banking sector from 2000-2024, a period of significant regulatory changes. Using the even study methodology, we assess abnormal returns for 83 acquiring and ... -
Machine learning as a decision support system in capesize route optimization : predicting optimal route selection using recurrent neural networks and extreme gradient boosting
(Master thesis, 2020)In this thesis, we investigate the applicability of machine learning to predict optimal route decisions for Capesize vessels. Our approach uses windows of historical macroeconomic and market-specific variables to form a ... -
Machine learning as a tool for improved housing price prediction : the applicability of machine learning in housing price prediction and the economic implications of improvement to prediction accuracy
(Master thesis, 2020)This thesis investigates whether non-linear machine learning algorithms can produce more accurate predictions of Norwegian housing prices compared to linear regression models. We find that the non-linear XGBoost algorithm ... -
Machine learning for automated stratigraphy classification : an empirical study to label subsurface formations in the Johan Sverdrup field
(Master thesis, 2019)This thesis explored to what extent different supervised machine learning algorithms can be used to label subsurface formations in wells. It was explored through empirical study using wireline logs from the Johan Sverdrup ... -
Machine Learning for Predicting Voluntary Audits : How do loan and risk factors influence small private commercial U.S. banks’ decision to get no audit?
(Master thesis, 2022)Commercial banks and other financial institutions are essential to the modern economy, and government agencies and regulators strive to identify and counteract risks in banking institutions. With an emphasis on loan and ... -
Machine learning for property valuation : an empirical study of how property price predictions can improve property tax estimations in Norway
(Master thesis, 2020)This thesis investigates whether machine learning methods can improve property price predictions, leading to more accurate property tax estimations in Norway. This study is important to ensure fair and trustworthy taxation ... -
Machine learning for resource economics : a review of modern computational statistics with empirical applications in fisheries management
(Master thesis, 2019)Machine learning increasingly permeates our everyday lives, from artificial intelligence suggesting how we complete a text message to big data selecting creepily relevant ads to show us as we browse the web. While science ... -
Machine Learning in Application-Based Case Management: A study on using machine learning to predict decision making in case management processes
(Master thesis, 2022)This thesis studies the possibility of using machine learning to predict the outcome of applications processed by the Regional Committees for Medical and Health Research Ethics (REK) in Norway. More specifically, the ... -
Machine learning in bankruptcy prediction : utilizing machine learning for improved bankruptcy predictions in the Norwegian market with an emphasis on financial, management and sector statements
(Master thesis, 2019)In this thesis, we create a new multi-year model for predicting bankruptcies in the Norwegian market. Our emphasis is on utilizing all parts of the financial statements and related information, rather than previously ... -
Machine learning in default Prediction : the incremental power of machine learning techniques in mortgage default prediction
(Master thesis, 2019)In this thesis, alternative machine learning techniques have been used to test if these perform better than a Logistic Regression in predicting default on retail mortgages. It is found that the ROC AUC statistic is ... -
Machine learning in the aviation industry and the potential of using air traffic as a real-time indicator of GDP : a study of how useful machine learning is to predict Norwegian air traffic and investigating the causal relationship between air traffic and GDP
(Master thesis, 2020)Travel by air is an essential part of both the Norwegian society and its infrastructure, where Norway has one of the highest number of flights per capita in Europe. Nonetheless, the aviation industry is characterized by ... -
Macroeconomic derivatives : overview and sovereign debt market applications
(Master thesis, 2005) -
Macroeconomic determinants of long-term government yields : a study of American and Norwegian yields using an ECM approach
(Master thesis, 2015)This thesis examines the macroeconomic determinants of 10-year government bond yields in Norway and the US. We use Johansen cointegration testing and a VECM framework to identify long-run relationships between non-stationary ... -
“Made for a Friend” : a recipient perspective on self-produced outcome evaluation
(Master thesis, 2014)This thesis examines the effects of self-production on outcome evaluations and preferred level of involvement in the self-production task. Although several studies have already addressed this issue, we extend these ... -
Made in China, sold in Norway : local labor market effects of an import shock
(Discussion paper;25/2014, Working paper, 2014-06)We analyze whether regional labor markets are affected by exposure to import competition from China. We find negative employment effects for low-skilled workers, and observe that low-skilled workers tend to be pushed ... -
The Magic Formula : An empirical study of Joel Greenblatt's magic formula, backtested on the Oslo Stock Exchange
(Master thesis, 2022)This study analyzes the performance of Joel Greenblatt's magic formula on the Oslo Stock Exchange from May 2003 to May 2022. The investment strategy involves ranking stocks based on their earnings yield and return on ... -
Magic formula combined with long/short portfolio optimization
(Master thesis, 2016)The Magic Formula is a two factor value investing model, specialized in finding underpriced low risk investment opportunities. This study extends available data until 2015 on the ability for the Magic Formula to rank ... -
Main determinants of corporate debt structure and investigation of 'fallen angels' : evidence from the Nordic countries
(Master thesis, 2012)The objective to this thesis is to examine which measurable firm variables that are the main determinants of corporate debt structure amongst Nordic rated companies, and if "fallen angel" companies experience an alteration ... -
Main factors behind the substantial increase of FDI in Bulgaria : 2003-2007
(Master thesis, 2009)Since 2003 FDI inflows to Bulgaria have been growing steadily. This paper addresses the question which the main factors determining this significant increase are. The analysis is based on a large amount of macroeconomic ...