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Showing result 1 - 5 of 15 essays matching the above criteria.

1. 1. Can a modern value definition save a struggling investment strategy? A study on the performance of the F-Score when adjusting book-to-market equity for intangibles

   University essay from Handelshögskolan i Stockholm/Institutionen för redovisning och finansiering

   Author : Hampus Johnson; Max Rembe; [2023]
   Keywords : Value investing; Piotroski s F-score; Intangible assets; Book-to-market equity;

   Abstract : Studies have found that the immediate expensing of intangible investments has understated the book-to-market metric, which has caused a substantial misclassification of value and glamor stocks in the new economy. This has coincided with a deteriorating performance of Piotroski's F-score, which aims to identify winning stocks among the value group by considering financial signals relevant to these stocks. READ MORE

3. 2. 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

4. 3. Precipitation Nowcasting using Deep Neural Networks

   University essay from KTH/Fysik

   Author : Valter Fallenius; [2022]
   Keywords : Deep Neura Networks; Artificial Intelligence; Meteorology; Precipitationa Nowcasting; Djupa neurala nätverk; artificiell intelligens; nederbördsprognoser; meteorologi;

   Abstract : Deep neural networks (DNNs) based on satellite and radar data have shown promising results for precipitation nowcasting, beating physical models and optical flow for time horizons up to 8 hours. “MetNet”, developed by Google AI, is a 225 million parameter DNN combining three different types of architectures that was trained on satellite and radar data over the United States. READ MORE

5. 4. Predict Saving Behavior - Artificial Neural Network & Machine Learning

   University essay from Lunds universitet/Nationalekonomiska institutionen

   Author : William Möllestam; [2022]
   Keywords : Saving Behavior; Artificial Neural Network; Machine Learning; XGBoost; SVM; Business and Economics;

   Abstract : This study aims to predict saving behavior using Artificial Neural Network (ANN), XGBoost, and Support Vector Machine (SVM) algorithms. First, 25 variables were chosen from the original 217 questions asked by the National Financial Capability Well-Being Survey (2018) NFCS, using exploratory data analysis. READ MORE

6. 5. A possibility, a threat, a denial? How news robots affect journalists’ work practices and professional identity

   University essay from Göteborgs universitet/JMG - Inst f journalistik och masskomm

   Author : Hanna Tuulonen; [2021-04-08]
   Keywords : algorithm; artificial intelligence; automated journalism; automation; computational journalism; data journalism; identity; identity construction; journalism; journalist; news robot; professional identity; robot journalism;

   Abstract : The aim of the thesis is to gather an understanding on how news robots have influenced and will influence journalists’ work. This thesis also seeks to explain how journalists’ attitudes towards news robots have changed after they started working with or side by side with news robots, and how news robots affect journalists’ professional identity. READ MORE