Sökning: "Lorik Sadriu"
Hittade 2 uppsatser innehållade orden Lorik Sadriu.
1. Personalized Investment Recommendations Using Recommendation Systems
Magister-uppsats, Lunds universitet/Nationalekonomiska institutionenSammanfattning : This paper presents a Deep Learning-based Hybrid Recommendation System (DLHR) designed specifically for institutional investors with public portfolio holdings on the Stockholm Stock Exchange. The objective is to provide personalized investment recommendations, complement existing portfolios, and explore untapped cross-selling opportunities. LÄS MER
2. Deep Reinforcement Learning Approach to Portfolio Optimization
Kandidat-uppsats, Lunds universitet/Nationalekonomiska institutionenSammanfattning : This paper evaluates whether a deep reinforcement learning (DRL) approach can be implemented, on the Swedish stock market, to optimize a portfolio. The objective is to create and train two DRL algorithms that can construct portfolios that will be benchmarked against the market portfolio, tracking OMXS30, and the two conventional methods, the naive portfolio, and minimum variance portfolio. LÄS MER