Sökning: "Portföljavkastning"

Visar resultat 1 - 5 av 8 uppsatser innehållade ordet Portföljavkastning.

  1. 1. LSTM-based Directional Stock Price Forecasting for Intraday Quantitative Trading

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

    Författare :Isabella Mustén Ross; [2023]
    Nyckelord :Deep Learning; Long-Short-Term-Memory LSTM ; ARIMA; Financial Time Series Forecasting; Algorithmic Trading; Intraday Trading; Stock Prediction; Djupinlärning; LSTM; ARIMA; finansiella tidsserier; algoritmisk aktiehandel; intradagshandel; aktieprediktion;

    Sammanfattning : Deep learning techniques have exhibited remarkable capabilities in capturing nonlinear patterns and dependencies in time series data. Therefore, this study investigates the application of the Long-Short-Term-Memory (LSTM) algorithm for stock price prediction in intraday quantitative trading using Swedish stocks in the OMXS30 index from February 28, 2013, to March 1, 2023. LÄS MER

  3. 2. Bitcoin - is it worth our dime? Bitcoin's effect on portfolio returns and its properties in a Swedish setting.

    Kandidat-uppsats,

    Författare :Max Bernhardtz; Joakim Eriksson; [2022-07-04]
    Nyckelord :;

    Sammanfattning : Bitcoin made its way into the consciousness of investors and the general public around 2015. Growing in popularity from there and inspiring the creation of many other crypto currencies along the way, it has been subject to several hypes and sharp declines since. LÄS MER

  4. 3. Black-Litterman Model for Portfolio Performance Enhancement - An Out-Of-Sample Evaluation of the Black-Litterman Model on a U.S. Stock-Dominated Portfolio

    Kandidat-uppsats, Göteborgs universitet/Institutionen för nationalekonomi med statistik

    Författare :Christoffer Hellekant; Rasmus Olofsson; [2022-02-15]
    Nyckelord :;

    Sammanfattning : In this thesis, the Black-Litterman model is evaluated out-of-sample and compared to mean-variance and naïve allocation. Two references are implemented in the Black-Litterman framework, the minimum-variance and naive portfolios. The study complements previ-ous work by considering a stock-dominated portfolio, where all assets are from the U.S. LÄS MER

  5. 4. Har Carharts fyrfaktormodell en högre förklaringsgrad än Fama-Frenchs trefaktormodell? : En kvantitativ studie som utvärderar Carharts fyrfaktormodell och Fama-Frenchs trefaktormodell på den svenska aktiemarknaden.

    Kandidat-uppsats, Södertörns högskola/Institutionen för samhällsvetenskaper

    Författare :Marsa Teklay Zeray; [2022]
    Nyckelord :Carhart four-factor model; Fama-French three-factor model; Swedish stock market; Degree of explanation; Adjusted R-square; Portfolio return; Risk; Carhart fyrfaktormodell; Fama-French trefaktormodell; Svenska aktiemarknaden; Förklaringsgrad; Justerad R-kvadrat; Portföljavkastning; Risk;

    Sammanfattning : Syfte: Syftet med studien är att analysera och utvärdera Carharts fyrfaktormodells och Fama- Frenchs trefaktormodells prestanda vid portföljavkastning på den svenska aktiemarknaden, under perioden 2011–2020. Teori: Denna studie grundar sig i den effektiva marknadshypotesen, Fama och Frenchs trefaktormodell samt Carharts fyrfaktormodell. LÄS MER

  7. 5. A heteroscedastic volatility model with Fama and French risk factors for portfolio returns in Japan

    Kandidat-uppsats, Stockholms universitet/Statistiska institutionen

    Författare :Edvin Wallin; Timothy Chapman; [2021]
    Nyckelord :Heteroscedasticity; GARCH 1; 1 ; ARMA p; q ; Skewed student s t-distribution; Regression; Fama and French Five-factor model;

    Sammanfattning : This thesis has used the Fama and French five-factor model (FF5M) and proposed an alternative model. The proposed model is named the Fama and French five-factor heteroscedastic student's model (FF5HSM). The model utilises an ARMA model for the returns with the FF5M factors incorporated and a GARCH(1,1) model for the volatility. LÄS MER