• Posisjonering av Mercursenteret 

      Sætnan, Tonje Raknes; Moxness, Siri Ravlosve; Friman, Malin Anna (Bachelor thesis, 2013-12-18)
      Oppgaven har til hensikt å finne ut hvordan Mercursenteret skal styrke sin posisjon. Problemstillingen ble utarbeidet da vi hadde en antakelse om at kjøpesenterets posisjon var svak. Problemstillingen ble da Hvordan ...
    • Posisjonering på Omega-3 markedet 

      Tidemand-Johannessen, Sindre; Løvbakken, Sondre Skauge; Sletten, Martin (Bachelor thesis, 2012-10-18)
      Denne oppgaven er utformet på bakgrunn av et oppdrag fra arbeidsgiver i SALfresh. SALfresh er en ny aktør og har et nytt produkt på Omega-3 markedet. De trengte derfor hjelp til hvordan å nå markedet med sitt produkt. I ...
    • The Post IPO Performance of Nordic High-Growth Companies 

      Zelaya, Juan Carlos; Tkachenko, Kirill (Master thesis, 2020)
      We study Nordic high-growth IPOs, measuring firms’ ability to meet the revenue growth expectations that their offer prices imply, and estimating the relationship between growth expectations and abnormal returns. We ...
    • Post-acquisition performance of family owned firms and the effect of separating concentrated decision-making and risk- bearing functions: Evidence from Norway 

      Falch, Stian Renslo; Edvardsen, Fredrik Wean (Master thesis, 2021)
      This thesis examines the financial performance of family firms transition to nonfamily firms and the effect of having an active family ownership. The analysis is based on Norwegian unlisted firms in the period of 2000-2018, ...
    • Post-Delisting Performance of Voluntary Privatized Companies 

      Balog, Aron; Garneng, Anders Birkeland (Master thesis, 2021)
      We analyze active owners’ ability to realize incentives that motivate voluntary delisting of firms. Reduced agency and regulatory costs and an increased tax shield are primary motivational factors that should improve a ...
    • The Power of Contrast: Exploring the Allure of Black-and-White Advertising in Shaping Brand Luxury Perception 

      Veli, Nevis; Savochkina, Nataliia (Master thesis, 2023)
      This study explores the effectiveness of black-and-white imagery in luxury brand communications, specifically in influencing consumers’ perception of luxury in an era of increased accessibility to luxury brands. We ...
    • The power of nudging applied to sustainable fashion consumption 

      Østensen, Katrine; Padovan, Elena (Master thesis, 2022)
      Previous research indicates a growing attitude towards buying sustainable products. This has led to an increased focus among several fashion brands to make it easier for their consumers to buy environmentally friendly ...
    • The Power of Sentiment and Attention: Twitter and Google Trends as predictors of stock returns 

      Nielsen, Adrian Nygård; Hansson, Herman (Master thesis, 2023)
      This thesis examines the impact of Twitter sentiment and Google Trends-derived investor attention on stock returns of Apple, Amazon, Microsoft, and Tesla. Spanning from January 1, 2018, to February 1, 2023, we extracted ...
    • PR-kampanje for Rosenborg Ballklub 

      Overskott, Sigurd; Engh, Dorthe (Bachelor thesis, 2017)
      Denne oppgaven er en avsluttende bacheloroppgave i kampanjeplanlegging, tilknyttet PR-og Markedskommunikasjonsstudiet ved Handelshøyskolen BI – Campus Trondheim. Vår kampanje er utarbeidet i samarbeid med Rosenborg Ballklub. ...
    • Pre-såkornordningen - et nytt bidrag til gründerbedrifters kamp for å overleve «dødens dal» 

      Mathisen, Simen; Jelmert, Nikolai Diesch (Bachelor thesis, 2018)
      I Norge eksisterer det et finansieringsgap som gjør at det ikke er nok risikovillig kapital for å finansiere alle de gode gründerideene som egentlig burde ha “livets rett”. Tidligere har staten opprettet såkornfondene ...
    • Predictability of Bond Risk Premia 

      Tønsberg, Emil Martin Szmigiel; Johansen, Henrik Kragerud (Master thesis, 2018)
      The notion of time-varying risk premia has great implications from an economic standpoint. We study the predictability of bond risk premia in the US, Australia, Canada, Switzerland, Germany, UK, and Japan, and whether ...
    • The Predictability of Future IPO Volume Through Initial Returns, a Study of the European Market 

      Palmer, Karoline; Solheim, Einar Andreas Weimodet (Master thesis, 2020)
      IPO volume is highly autocorrelated in the European market, unlike initial returns. We find more companies tend to go public the following quarter after periods of high initial returns, as well as some characteristics ...
    • Predictability of Stock Returns: An application of presentvalue state-space models to the German Stock Market 

      Lux, Yannik (Master thesis, 2019)
      In my thesis, I introduce a state-space representation of the present-value model to analyze predictability in the aggregated German stock market. The proposed model uses the information contained in annualized price-dividend ...
    • The Predicted Usage Model (PUM) 

      Aas, Erlend; Bye-Ribaut, Dominique Daniel; Røe, Anita (Master thesis, 2023)
      This predictive analytics project explores how machine learning can contribute to increased customer usage of NTB’s foreign news articles. The result of this research is the Predicted Usage Model (PUM) – a regression model ...
    • Predicting Default Loans using Machine Learning 

      Habibi, Alexander Noreddin (Master thesis, 2023)
      This thesis aims to determine whether machine learning algorithms effectively predict default loans and which machine learning algorithms are better performers than others. The research started by gathering information ...
    • Predicting Private Equity Fund Returns 

      Starman, Jurij (Master thesis, 2022)
      This thesis investigates the potential of a Private Equity fund performance forecasting model, to assist Private Equity investors in their investment decision making process. Fund performance is measured by the fund’s ...
    • Predicting Real Estate Price Variations using Machine Learning and Google Trends 

      Begaud, Bradley (Master thesis, 2021)
      The goal of this paper is to create a modern model via the use of machine learning (such as support vector regression, regression tree and neural networks) and google trends to predict real estate price variations. The ...
    • Predicting Stock Market Dynamics with Google Trends 

      Skei, Emil Breivikås; Strøm, Jon Velure (Master thesis, 2019)
      We investigate investor attention measured by search volume index (SVI) data from Google Trends, and its impact on returns. Moreover, we examine the features of SVI as both an explanatory variable at time zero and its ...
    • Predicting Takeover Targets in the US Technology Industry 

      Voll, Enok Andreas; Høivik, Vegard (Master thesis, 2019)
      This thesis explores which factors affect takeover prediction in the US technology industry and whether abnormal returns are achievable with an investment portfolio based on takeover probabilities. With a sample consisting ...
    • Predicting the Macroeconomic Effects of Reducing Petroleum Activity in Norway: A Scenario Evaluation Approach 

      Tavanger, Martin Armand; Nilsen, Morten (Master thesis, 2022)
      In the late nineteen sixties Norway discovered large oil and gas reserves on the continental shelf. This changed the economy profoundly and Norway quickly became a resource-exporting economy. Today, around fifty years after ...