Sökning: "Factor scores"
Visar resultat 11 - 15 av 121 uppsatser innehållade orden Factor scores.
11. The Challenges of Sustainable Investing
Magister-uppsats, Lunds universitet/Nationalekonomiska institutionenSammanfattning : Over the past decades, investment preferences towards portfolio construction have changed from focusing solely on profit maximization, into a combination of good financial perfor- mance as well as a responsible sustainability outcome. The purpose of this paper is three- fold: first, to investigate whether a sustainable portfolio based on a high environmental, social and governance (ESG) score contributes to positive returns or affects financial per- formance negatively. LÄS MER
12. The power of purpose: How ESG subcategories drive financial performance : A comprehensive analysis using the Fama-French Five-Factor model
Magister-uppsats, Linnéuniversitetet/Institutionen för management (MAN)Sammanfattning : ESG investing is a hot subject in today’s world with socially responsible investments under management reaching 35.3 trillion in the beginning of 2020. Corporations today are highly affected by social and government pressure to take on corporate social responsibility. LÄS MER
13. Compassion fatigue bland lärare – reliabiliteten för en befintlig skala, dess samband med närliggande koncept samt kopplingen till benägenhet att agera vid mobbningssituationer i skolan
Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för psykologiSammanfattning : The purpose of this study was to investigate the psychometric properties of the Compassion Fatigue Inventory (CFI) as a tool for measuring compassion fatigue among teachers. We also examined whether the level of compassion fatigue could predict teachers' propensity to act in a bullying situation. LÄS MER
14. Data-Driven Success in Infrastructure Megaprojects. : Leveraging Machine Learning and Expert Insights for Enhanced Prediction and Efficiency
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This Master's thesis utilizes random forest and leave-one-out cross-validation to predict the success of megaprojects involving infrastructure. The goal was to enhance the efficiency of the design and engineering phase of the infrastructure and construction industries. LÄS MER
15. Prediction of Persistence to Treatment for Patients with Rheumatoid Arthritis using Deep Learning
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Rheumatoid Arthritis is an inflammatory joint disease that is one of the most common autoimmune diseases in the world. The treatment usually starts with a first-line treatment called Methotrexate, but it is often insufficient. One of the most common second-line treatments is Tumor Necrosis Factor inhibitors (TNFi). LÄS MER