Sökning: "unsecured"
Visar resultat 1 - 5 av 43 uppsatser innehållade ordet unsecured.
1. Cybersecurity in home-office environments : An examination of security best practices post Covid
Master-uppsats, Högskolan i Skövde/Institutionen för informationsteknologiSammanfattning : The rapid growth of remote work has brought new challenges in ensuring cybersecurity in home-office environments. Based on a structured literature review and semi-structured interviews with industry professionals, this study investigates and identifies cybersecurity best practices for home-office environments post Covid and aims to fill existing research gaps by providing valuable new insights. LÄS MER
2. Liten tuva stjälper ofta stort lass : En studie om hur varnande berättelser kan utformas för att påverka unga vuxnas attityder till konsumtionskrediter
Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknikSammanfattning : The behaviour of taking out unsecured loans to purchase goods or services is in danger of causing over-indebtedness, especially among young adults. The lending of consumer credits is closely associated with inadequate creditworthiness assessments as well as high interest rates, which implicates that borrowers with narrow margins are granted loans that they are later unable to repay. LÄS MER
3. Exploring the Swedish Credit Market Ecosystem : A study of loan intermediaries’ contribution to a more efficient consumer credit market
Master-uppsats, KTH/Fastighetsföretagande och finansiella systemSammanfattning : A long period of low interest rates, economic growth and a booming housing market hasresulted in an increase in the debt level of Swedish households. New digital ways of providingfinancial services are changing the traditional banking world and are often praised for beingefficient and inclusive. LÄS MER
4. Heterogeneity in demand for credit payment protection insurance
Kandidat-uppsats, Umeå universitet/NationalekonomiSammanfattning : Household indebtedness has increased remarkably around the world in the last two decades (IMF, 2023) e.g., in Finland, where households borrow more, but also end up with economic difficulties where they cannot afford to amortize their loans (Tilastokeskus, 2023). LÄS MER
5. Peeking Through the Leaves : Improving Default Estimation with Machine Learning : A transparent approach using tree-based models
Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistikSammanfattning : 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. LÄS MER