Sökning: "Optimal Portfolio"

Visar resultat 1 - 5 av 190 uppsatser innehållade orden Optimal Portfolio.

  1. 1. Portfolio Strategies Under Different Inflationary Regimes

    Master-uppsats, KTH/Matematik (Avd.)

    Författare :Mohit Parkash; Diana Halladgi Naghadeh; [2023]
    Nyckelord :Inflation; Regression Analysis; Portfolio Optimization; Markowitz; Efficient Frontier; Asset Allocation; Portfolio Management; Financial Mathematics; Inflation; Regressionsanalys; Portföljoptimering; Markowitz; Effektiv Front; Tillgångsallokering; Portföljförvaltning; Finansiell Matematik;

    Sammanfattning : In 2023, the topic of ongoing inflation is being discussed almost daily as it has become inevitable. The global economy is facing significant uncertainty and downward pressure as several leading developed nations adopted expansionary fiscal policies and quantitative easing monetary policies during the pandemic. LÄS MER

  3. 2. Robust Portfolio Optimization with Correlation Penalties

    Master-uppsats, KTH/Matematisk statistik

    Författare :Pelle Nydahl; [2023]
    Nyckelord :Portfolio Optimization; Portfolio Allocation; Robust Optimization; Correlation; Risk Factor Model; EMA Filtering; Weighted Linear Regression; Portföljoptimering; Portföljallokering; Robust optimering; Korrelation; Riskfaktor-modell; EMA-filtrering; Viktad linjär regression;

    Sammanfattning : Robust portfolio optimization models attempt to address the standard optimization method's high sensitivity to noise in the parameter estimates, by taking an investor's uncertainty about the estimates into account when finding an optimal portfolio. In this thesis, we study robust variations of an extension of the mean-variance problem, where an additional term penalizing the portfolio's correlation with an exogenous return sequence is included in the objective. LÄS MER

  4. 3. Sustainability Filtration and Optimization: A Stepwise Integration Approach

    Master-uppsats, KTH/Matematik (Avd.)

    Författare :Soroosh Jalaei; [2023]
    Nyckelord :Sustainability; Modern Portfolio Theory; Optimization; Sequential Quadratic Programming; Optimal ESG Portfolio.; Hållbarhet; Modern portföljteori; Optimering; Sequential Quadratic Programming; Optimal ESG-portfölj.;

    Sammanfattning : This thesis explores the integration of sustainability into Modern Portfolio Theory (MPT) optimization by introducing stepwise filtration and optimization. This study acknowledges the growing importance of sustainability in investment strategies and modifies the traditional MPT framework to include environmental, social, and governance (ESG) factors. LÄS MER

  5. 4. Analysing the Optimal Fund Selection and Allocation Structure of a Fund of Funds

    Master-uppsats, KTH/Matematik (Avd.)

    Författare :Idun Cederberg; Ida Cui; [2023]
    Nyckelord :Master Thesis; Financial Mathematics; Fund of Funds; Portfolio Optimization; Mean Variance Optimization; Masterexamensarbete; finansiell matematik; fond i fond; portföljoptimering; modern portföljteori;

    Sammanfattning : This thesis aims to investigate different types of optimization methods that can be used when optimizing fund of fund portfolios. Moreover, the thesis investigates which funds that should be included and what their respective portfolio weights should be, in order to outperform the Swedish SIX Portfolio Return Index. LÄS MER

  7. 5. The Impact of Quantum Computing on the Financial Sector : Exploring the Current Performance and Prospects of Quantum Computing for Financial Applications through Mean-Variance Optimization

    Master-uppsats, Linköpings universitet/Produktionsekonomi

    Författare :Ante Fahlkvist; Alfred Kheiltash; [2023]
    Nyckelord :Quantum computing; Finance; Financial applications; Mean-variance optimization; Zero-one quadratic programming; Quantum computing in finance;

    Sammanfattning : Many important tasks in finance often rely on complex and time-consuming computations. The rapid development of quantum technology has raised the question of whether quantum computing can be used to solve these tasks more efficiently than classical computing. LÄS MER