Sökning: "Stockholm Stock Exchange"

Visar resultat 1 - 5 av 523 uppsatser innehållade orden Stockholm Stock Exchange.

  1. 1. Arbitrage Pricing Theory: A study on the Stockholm Stock

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

    Författare :Richard Johansson; Pierre Petersson; [2019-03-01]
    Nyckelord :Arbitrage Pricing Theory; APT; Stockholm Stock Exchange; Macroeconomic Factors; Multi Factor Model;

    Sammanfattning : This thesis investigates the macroeconomic factors that affect the returns on the different portfolios in Stockholm Stock Exchange by using Arbitrage Pricing Theory (Stephen Ross 1976). We use the portfolios of Large Cap, Mid Cap, Small Cap, and All Caps. Specifically, multiple index model is used. The sample period is 2012-2017. LÄS MER


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

    Författare :Gustav Hauri; Johannes Sköld; [2019-02-18]
    Nyckelord :Effecient Market Hypothesis; Fundamental analysis; Investments strategies; Magic Formula; Value investing;

    Sammanfattning : This thesis examines the predictive powers of the basic stock picking model, The Magic Formula (MF), as well as the modified version of the model, The Free-Cash-Flow augmented Magic Formula (MF-CF) as suggested by Davydov, Tikkanen and Äijö (2016). By using a sample of the firms listed in the Stockholm Stock Exchange during 2008-2018, our results indicate that both models predict high risk, but only the MF provide higher returns. LÄS MER

  3. 3. Volatility forecasting using the GARCH framework on the OMXS30 and MIB30 stock indices

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

    Författare :Peter Johansson; [2019-01-22]
    Nyckelord :Volatility forecasting; Random Walk; Moving Average; Exponentially Weighted Moving Average; GARCH; EGARCH; GJR-GARCH; APGARCH; volatility model valuation; regression; information criterion;

    Sammanfattning : There are many models on the market that claim to predict changes in financial assets as stocks on the Stockholm stock exchange (OMXS30) and the Milano stock exchange index (MIB30). Which of these models gives the best forecasts for further risk management purposes for the period 31st of October 2003 to 30th of December 2008? Is the GARCH framework more successful in forecasting volatility than more simple models as the Random Walk, Moving Average or the Exponentially Weighted Moving Average?The purpose of this study is to find and investigate different volatility forecasting models and especially GARCH models that have been developed during the years. LÄS MER

  4. 4. Value at Risk and Expected Shortfall risk measures using Extreme Value Theory

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

    Författare :Peter Johansson; [2019-01-22]
    Nyckelord :Extreme Value Theory; Generalized Pareto Distribution; Point-Over-Threshold method; risk measures; Value at Risk; Expected Shortfall;

    Sammanfattning : Calculating risk measures as Value at Risk (VaR) and Expected Shortfall (ES) has become popular for institutions and agents in financial markets. A main drawback with these risk measures is that they traditionally assume a specific distribution, as the Normal distribution or the Student’s t distribution. LÄS MER

  5. 5. MODELING CAPITAL ASSET RETURNS ON THE SWEDISH STOCK MARKET - An evaluation of Fama French’s Five Factor Model against its predecessors

    Kandidat-uppsats, Lunds universitet/Statistiska institutionen

    Författare :Kristoffer Bergram; Ludvig Göransson; [2019]
    Nyckelord :asset pricing modeling; time series regression; statistics; Fama French Five Factor model; Carhart Four Factor model; Fama French Three Factor model; Swedish stock market; portfolio theory; behavioral economics; Mathematics and Statistics; Business and Economics;

    Sammanfattning : This thesis compared the explanatory rate of three asset pricing models related to excess returns on the Swedish stock market. A more granular evaluation of each model’s factors was also conducted. A random sample of 90 companies was drawn from the Stockholm Stock Exchange (N = 371) using a Blomberg terminal. LÄS MER