• Automated Detection of Front Companies: Exploring Machine Learning Potentials and Limitations 

  Høgtun, Liam Alexander (Master thesis, 2023)

  This project is aimed at understanding the potential and limitations of modern machine learning algorithms in automatically detecting front companies. We employed predictive classification models to analyse a company's ...

• The Effect of Economic and Policy Uncertainty on Acquirers' M&A Performance by Method of Payment: Euidence from Norway 

  Sayyah, Rayan Aria; Vangsnes, Erlend Tønnessen (Master thesis, 2023)

  This event study examines how economic and policy uncertainty affects acquirer firms’ cumulative abnormal returns during an M&A announcement, with respect to payment methods. Using a sample of 700 announcements in Norway ...

• Effects of Norwegian Oil Supply Shocks on the Global Oil Market: Implications for Environmental Policies 

  Cappelen, Andreas Becker; Hamnes, Christoffer Thalberg (Master thesis, 2023)

  We examine the effect of Norwegian supply shocks on the global oil market and evaluate the environmental consequences. In our research question, we seek to find out how the global oil market will react if we have a ...

• Exploring the link between gender diversity and financial performance on Norwegian boards 

  Zia, Sabrina; Mehmood, Hajra Noor (Master thesis, 2023)

  In recent years, gender diversity has become a much-debated topic with regards to optimal board compositions. This paper studies the relationship between gender diversity on Norwegian boards and firms’ financial performance. ...

• - Agile Methodology in Startups -Towards a defined Agile Practice for Startups 

  Hamborg, Anette (Master thesis, 2023)

  This thesis examines the potential for adoption of an Agile methodology in startups outside of software development. These startups face similar challenges to those addressed by Agile principles, practices and tools, ...

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