Sökning: "investment evaluation methods"
Visar resultat 1 - 5 av 74 uppsatser innehållade orden investment evaluation methods.
1. Taking Climate into Account - Carbon Management Tools for Investment Decisions and Progress Tracking at an Energy Company
Master-uppsats, Lunds universitet/InnovationsteknikSammanfattning : Background: Climate change is becoming a more urgent issue, where global agreements and regulations are putting pressure on companies to calculate and disclose their greenhouse gas emissions to combat the problem. Other driving forces of carbon disclosure for companies include social, economic, and financial pressure, as well as firm specific internal factors. LÄS MER
2. Accounting for the Measurement Bias: A Study of Market Efficiency in the United States and the Relevance of Extensive Fundamental Analysis in Equity Valuation
D-uppsats, Handelshögskolan i Stockholm/Institutionen för redovisning och finansieringSammanfattning : This thesis investigates abnormal returns over the period 1983-2021 from an investment strategy that is based on public accounting information. Investment positions are taken in US manufacturing firms and are held for 36 months using a self-financing (hedged) portfolio. LÄS MER
3. Segmentation and Valuation in Stockholm Housing Market : Spatial Continuous and Discontinuous Submarkets Evaluating by Hedonic Price Model and XGBoost Model
Master-uppsats, KTH/Fastighetsekonomi och finansSammanfattning : The housing market segmentation could provide a reference for more targeted policymaking and investment strategies. Although there have been many studies, there are no consistent submarkets delineating methods because of a lack of theoretical support and subjective evaluation. In this paper, two market segmentation methods are introduced. LÄS MER
4. The Sisyphean Climb Quantifying Robotic Process Automationwith Agile Methodologies
Kandidat-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : This study explores the integral stages involved in the implementation of Robotic Process Automation within organizations, drawing parallels with established practices in software engineering,particularly the Agile methodology. Much like Sisyphus eternally pushing his boulder uphill, the continuous nature of business development requires ongoing effort and constant adaptation. LÄS MER
5. A Transformer-Based Scoring Approach for Startup Success Prediction : Utilizing Deep Learning Architectures and Multivariate Time Series Classification to Predict Successful Companies
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The Transformer, an attention-based deep learning architecture, has shown promising capabilities in both Natural Language Processing and Computer Vision. Recently, it has also been applied to time series classification, which has traditionally used statistical methods or the Gated Recurrent Unit (GRU). LÄS MER