Sökning: "OMXS30 Index"

Visar resultat 1 - 5 av 155 uppsatser innehållade orden OMXS30 Index.

  1. 1. Unveiling the Predictive Power

    Kandidat-uppsats, Lunds universitet/Nationalekonomiska institutionen

    Författare :Alex Lundvall; Gabriel Ahonen; [2023]
    Nyckelord :Stock market returns; Macroeconomic indicators; Vector Autoregression model; Granger Causality test; Business and Economics;

    Sammanfattning : To obtain excessive returns on the stock market, investors should be able to effectively forecast what drives the fluctuations of the stock market. The usage of macroeconomic factors as indicators for stock market performances has been utilized more profoundly in recent times. LÄS MER

  3. 2. Stock market analysis with a Markovian approach: Properties and prediction of OMXS30

    Kandidat-uppsats, KTH/Matematisk statistik

    Författare :Max Aronsson; Anna Folkesson; [2023]
    Nyckelord :Markov chain; OMXS30; Markov chain properties; voting ensemble model; markovkedja; OMXS30; egenskaper hos markovkedjor; ensemble-modell;

    Sammanfattning : This paper investigates how Markov chain modelling can be applied to the Swedish stock index OMXS30. The investigation is two-fold. Firstly, a Markov chain is based on index data from recent years, where properties such as transition matrix, stationary distribution and hitting time are studied. LÄS MER

  4. 3. Predicering av aktiekursutveckling för svenska aktier utifrån konjunkturdata

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

    Författare :Edward Ehrling; Felix Dahl; [2023]
    Nyckelord :;

    Sammanfattning : This study aims to investigate whether Swedish economic indicators can be used to predict stock market performance on the Stockholm Stock Exchange. The study is expected to contribute to new research in the field and also explore the potential utility of these predictions for individual investors. LÄS MER

  5. 4. On modelling OMXS30 stocks - comparison between ARMA models and neural networks

    Master-uppsats, Uppsala universitet/Matematiska institutionen

    Författare :Irina Zarankina; [2023]
    Nyckelord :ARMA; ARIMA; LSTM; time series; statistics;

    Sammanfattning : This thesis compares the results of the performance of the statistical Autoregressive integrated moving average (ARIMA) model and the neural network Long short-term model (LSTM) on a data set, which represents a market index. Both models are used to predict monthly, daily, and minute close prices of the OMX Stockholm 30 Index. LÄS MER

  7. 5. Avvikelseavkastning i samband med resultatöverraskningar på OMXS30 - En eventstudie

    Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Oskar Malmström; Johan Nordström; [2023]
    Nyckelord :avvikelseavkastning; eventstudie; kvartalsrapporter; OMXS30; resultatannonsering; resultatöverraskning;

    Sammanfattning : This thesis investigates if abnormal returns exist in connection to the release of quarterly reports depending on if the presented results overperform, underperform or are in line with the analysts expectations. An event study method is applied where the market model is used. LÄS MER