Sökning: "Predictive Index"

Visar resultat 1 - 5 av 84 uppsatser innehållade orden Predictive 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. Does the Level of Swedish Economic Policy Uncertainty Help Forecast Excess Returns on the Swedish Stock Market?

    Master-uppsats, Uppsala universitet/Företagsekonomiska institutionen

    Författare :Gustav Jacobsson; Oscar Klersell; [2023]
    Nyckelord :Economic Policy Uncertainty EPU ; Excess stock returns; Out-of-sample forecasting; Random walk; Sweden;

    Sammanfattning : This thesis examines whether the level of Swedish economic policy uncertainty (EPU) can predict excess returns on the Swedish stock market. We run out-of-sample forecasting using an EPU-based predictive model constructed with the official Swedish EPU index developed by Armelius et al. (2017). LÄS MER

  5. 4. Building Predictive Models for Stock Market Performance : En studie om maskininlärning och deras prestanda

    Kandidat-uppsats, Uppsala universitet/Institutionen för informatik och media

    Författare :Gabriel Wennmark; Felix Lindgren; [2023]
    Nyckelord :machine learning; classification; stock market; OMXSPI; support vector machine; logistic regression; decision tree; prediction model; maskininlärning; klassifikation; aktiemarknad; OMXSPI; support vector machine; logistisk regression; beslutsträd; prediktionsmodell;

    Sammanfattning : Today it is important for investors to identify which stocks that will result in positive returns in order for the right decision to be made when trading on the stock market. For decades it has been an area of interest for academics, and it is still challenging due to many difficulties and problems. LÄS MER

  7. 5. Forecasting gold returns using principal component analysis from a large number of predictors

    Magister-uppsats, Lunds universitet/Nationalekonomiska institutionen; Lunds universitet/Statistiska institutionen

    Författare :Fredrik Allgén; [2023]
    Nyckelord :Forecasting; PCA; Gold; ARMA; Business and Economics;

    Sammanfattning : Gold is known in the financial world to be an important asset in unstable periods, especially as a hedge against inflation. If the gold price can be forecasted, it will be possible to strategically invest in gold rather than acquire it as a last-minute hedge against economic downturns. LÄS MER