Sökning: "Portfolio Optimization"
Visar resultat 1 - 5 av 152 uppsatser innehållade orden Portfolio Optimization.
Sammanfattning : The aim of this thesis is to examine whether cryptocurrencies should be included in future investment portfolios or not. This thesis not only focuses on Bitcoin, but also uses the Bloomberg Galaxy Crypto Index to represent the cryptocurrency market as a whole. LÄS MER
- Kandidat-uppsats, KTH/Matematisk statistik; KTH/Matematisk statistik
Sammanfattning : This thesis evaluates the mean-variance analysis framework by comparing the performance of an optimized portfolio consisting of stocks from the Dow Jones Industrial Average to the performance of the Dow Jones Industrial Average index itself. The results show that the optimized portfolio performs better than the corresponding index when evaluated on the period between 2015 and 2019. LÄS MER
- Master-uppsats, KTH/Matematisk statistik; KTH/Matematisk statistik
Sammanfattning : Mean variance optimization has shortcomings making the strategy far from optimal from an investor’s perspective. The purpose of the study is to conduct an empirical investigation as to how modern methods of portfolio optimization address the shortcomings associated with mean variance optimization. LÄS MER
- Kandidat-uppsats, Lunds universitet/Nationalekonomiska institutionen
Sammanfattning : The aim of this thesis is to compare traditionally optimized equity portfolios to an alternative which takes the economic effects of environmental damage in to consideration. The comparison between the portfolios are made by their composition, in terms of economic sectors, and their characteristics, such as performance, size and risk. LÄS MER
- Kandidat-uppsats, KTH/Matematisk statistik
Sammanfattning : This project aims to analyze Nordic companies active in the sector of Information and Communications Technology (ICT), and does this in two parts. Part I entails analyzing public companies to construct a valuation model aimed at predicting the enterprise value of private companies. LÄS MER