Sökning: "Finance computer"

Visar resultat 1 - 5 av 27 uppsatser innehållade orden Finance computer.

  1. 1. 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

  2. 2. Exploring the Viability of PageRank for Attack Graph Analysis and Defence Prioritization

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Marcus Dypbukt Källman; [2023]
    Nyckelord :Cybersecurity; PageRank; Attack Graphs; Threat analysis; Threat modelling; Cybersäkerhet; PageRank; Attackgrafer; Hotanalys; Hotmodellering;

    Sammanfattning : In today's digital world, cybersecurity is becoming increasingly critical. Essential services that we rely on every day such as finance, transportation, and healthcare all rely on complex networks and computer systems. LÄS MER

  3. 3. Swedish Stock and Index Price Prediction Using Machine Learning

    Kandidat-uppsats, Mälardalens universitet/Akademin för utbildning, kultur och kommunikation

    Författare :Henrik Wik; [2023]
    Nyckelord :Stock Price Prediction; Machine Learning; Time Series Analysis; Linear Regression; K-Nearest Neighbors; Random Forest; Support Vector Machines; Neural Networks;

    Sammanfattning : Machine learning is an area of computer science that only grows as time goes on, and there are applications in areas such as finance, biology, and computer vision. Some common applications are stock price prediction, data analysis of DNA expressions, and optical character recognition. LÄS MER

  4. 4. Comparative Study of tools for Statistical Learning : Comparing the performance of data science languages and frameworks

    Kandidat-uppsats, KTH/Datavetenskap

    Författare :Alexander Westman; Adam Henriksson; [2022]
    Nyckelord :;

    Sammanfattning : Statistical learning is a sub-field of computer science that studies algorithms which try to solve the statistical inference problem of finding a predictive function based on data. This is used in fields such as finance, computer vision, and bioinformatics. LÄS MER

  5. 5. Quantum Portfolio Optimization : a Multi-Level Perspective Study of the Swedish Fund Management Industry

    Master-uppsats, KTH/Industriell ekonomi och organisation (Inst.)

    Författare :Olle Malmberg; Joakim Wellenstam; [2021]
    Nyckelord :Quantum computers; portfolio optimization; multi-level perspective; technological transition; finance; socio-technical; Kvantdatorer; portföljoptimering; multi-level perspective; teknisk omvandling; finans; socio-teknisk;

    Sammanfattning : In recent years, quantum computers have achieved new levels of sophistication and are by some estimates only a few years from being used in production. A growing body of literature points toward their potential uses within various industries, with the finance industry identified as exceptionally full of prospective applications. LÄS MER