Sökning: "stock market prediction"

Visar resultat 11 - 15 av 123 uppsatser innehållade orden stock market prediction.

  1. 11. Forecasting daily stock market trading volume using Machine Learning

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

    Författare :Björn Hickman; [2023]
    Nyckelord :Machine Learning; Trading Volume Prediction; Stock Market; Maskininlärning; Förutspå Handelsvolym; Aktiemarknad;

    Sammanfattning : Today, brokers within the stock market brokerage industry are having difficulties with accurately forecasting the trading volume that is conducted by their customers. This is especially a problem during periods of exceptionally high or low trading volumes. LÄS MER

  3. 12. Decoding the Winning Strategy - An in-depth study of Swedish closed-end funds

    Magister-uppsats, Lunds universitet/Nationalekonomiska institutionen

    Författare :Fredrik Stenberg; Markus Albert; [2023]
    Nyckelord :Closed-end funds; predictability of stock returns; predicting investor targets; active ownership; Business and Economics;

    Sammanfattning : The predictability of stock returns, prediction of buyout targets and value creation by activist owners are well-researched areas. However, Swedish closed-end funds' outstanding performance has received little attention. LÄS MER

  4. 13. Machine Learning Based Stock Price Prediction by Integrating ARIMA model and Sentiment Analysis with Insights from News and Information

    Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Teja Sai Vaibhav Boppana; Joseph Sudheer Vinakonda; [2023]
    Nyckelord :Machine Learning; Market Trends; News; Headlines Stock Price Prediction; VADER.;

    Sammanfattning : Background: Predicting stock prices in today’s complex financial landscape is asignificant challenge. An innovative approach to address this challenge is integrating sentiment analysis techniques with the well-established Autoregressive IntegratedMoving Average (ARIMA) model. LÄS MER

  5. 14. Processing, Modeling, and Forecasting: A Time Series Analysis of Sick Leave Absences in Sweden and Evaluating the Impact of Macro Factors

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Marcus Lindell; Casper Schwerin; [2023]
    Nyckelord :AI; Machine Learning; Time series analysis; Modeling; Sick absence; Forecasting; Macro factors; Stochastic processes; Mathematics and Statistics; Technology and Engineering;

    Sammanfattning : Sick absence affects companies both operationally and economically and the matter has become increasingly prominent following the COVID-19 pandemic. MedHelp Care is an e-health company working towards increasing workplace wellness by offering insights into absence and rehabilitation matters. LÄS MER

  7. 15. 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