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Showing result 1 - 5 of 18 essays matching the above criteria.

1. 1. Strategies for regional deployment of hydrogen infrastructure : The case of North Rhine-Westphalia, Germany

   University essay from KTH/Skolan för industriell teknik och management (ITM)

   Author : Roberto Di Molfetta; [2022]
   Keywords : Hydrogen; Infrastructure rollout; Supply chain pathways; Mobility; Hydrogen buses.;

   Abstract : In response to the growing urge towards decarbonisation, more and more initiatives have been set to reduce and/or compensate the level of CO2 (carbon dioxide) emitted by human activities, which is one of the main responsible of the incumbent threats of “global warming” and “climate change”. “Climate neutrality by 2050” has become a decisive topic for political agendas worldwide and, against that background, the hydrogen economy can play a significant role. READ MORE

3. 2. Evaluating information content of earnings calls to predict bankruptcy using machine learnings techniques

   University essay from Högskolan Dalarna/Institutionen för information och teknik

   Author : Arooba Ghaffar; [2022]
   Keywords : Bankruptcy prediction; Earnings Calls; Machine Learnings; Deep Learnings; Corporate failures; Web Scraping; Financial Data; Extracted Data;

   Abstract : This study investigates the prediction of firms’ health in terms of bankruptcy and non-bankruptcy based on the sentiments extracted from the earnings calls. Bankruptcy prediction has long been a critical topic in the world of accounting and finance. READ MORE

4. 3. Prediction of Short-term Default Probability of Credit Card Invoices Using Behavioural Data

   University essay from KTH/Matematisk statistik

   Author : Billy Lu; [2022]
   Keywords : Probability of Default; Credit Risk; Short-term Default Prediction; Machine Learning; Gradient Boosting; Thresholding; Sannolikheten för Fallissemang; Kreditrisk; Kortsiktig Fallissemang Prediktion; Maskininlärning; Gradientförstärkning; Tröskling;

   Abstract : Probability of Default (PD) is a standard metric to model and monitor credit risk, a major risk facing financial institutions. Traditional PD models are used to forecast risk levels in the long-term, while short-term PD predictions are rarer, but they can support management decisions on an operational level. READ MORE

5. 4. Increasing Retention in Insurtechs Through Churn Prediction

   University essay from Lunds universitet/Innovationsteknik

   Author : John Rapp Farnes; Oskar Christiansen; [2021]
   Keywords : Non-life insurance; Property and casualty insurance; Customer retention; Churn prediction; Predictive analytics; Classification; Machine learning; Mathematics and Statistics;

   Abstract : Over the last decades, the Swedish insurance industry has seen decreased entry barriers due to deregulation and emerging new technologies, which have the potential to disturb the stagnated and consolidated competitive landscape of the industry. Initiated by newcomers like American insurance startup Lemonade, and later Swedish Hedvig among others, there is an increased push toward digitalization, transparency, and automation in the industry. READ MORE

6. 5. Blockchain technology in the future Swedish electricity system : An exploratory study and multi-level perspective analysis of blockchain in the energy transition in Sweden

   University essay from KTH/Skolan för industriell teknik och management (ITM)

   Author : Saga Carle; Viktor Vifell Nilsson; [2020]
   Keywords : ;

   Abstract : Blockchain, a distributed ledger technology, became publicly known when the cryptocurrency Bitcoin was introduced in 2009. As the financial value of cryptocurrencies increased, the interest for blockchain grew, leading other sectors to explore if blockchain could be used in other areas as well. READ MORE