Sökning: "GARCH 1"

Visar resultat 21 - 25 av 144 uppsatser innehållade orden GARCH 1.

  1. 21. Green Finance and its Relation to Asset Classes : Analyzing the dependency structure with a DCC-GARCH and a cross-quantilogram approach

    Master-uppsats, Linköpings universitet/Nationalekonomi; Linköpings universitet/Filosofiska fakulteten

    Författare :Mona Ebadian; Linda Ivarsson; [2021]
    Nyckelord :;

    Sammanfattning : In this master thesis, we present the first empirical study that investigates the correlation- and dependence structure of green finance with major asset classes such as cryptocurrency, commodities, equity and currency on a global level. Over the years, green finance and sustainability questions have become more and more central in the literature. LÄS MER

  3. 22. Macroeconomic Announcements and Uncertainty Resolving : Empirical Evidence from the Eurozone

    Magister-uppsats, Umeå universitet/Nationalekonomi

    Författare :Mohammad Aljaid; [2021]
    Nyckelord :;

    Sammanfattning : Studying and identifying the impact of the macroeconomic news on the uncertainty, measured by the implied volatility index behavior in the European financial market, is the main goal of this study. The macroeconomic variables are regarded in this study are consumer price index CPI, the gross domestic product GDP, employment reports EMP, monetary policy MP, labor cost LC, and the current account for the Eurozone CA. LÄS MER

  4. 23. 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

  5. 24. Volatility Forecasting Performance of GARCH Models : A Study on Nordic Indices During COVID-19

    Master-uppsats, Umeå universitet/Nationalekonomi

    Författare :Ludwig Schmidt; [2021]
    Nyckelord :;

    Sammanfattning : Volatility forecasting is an important tool in financial economics such as risk management, asset allocation and option pricing since an understanding of future volatility can help professional and private investors minimize their losses. The purpose of this paper is to investigate the volatility forecasting performance of symmetric and asymmetric GARCH models on Nordic indices during COVID-19. LÄS MER

  7. 25. A test of GARCH models onCoCo bonds

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :JIMMY HENRIKSSON; [2021]
    Nyckelord :ARCH; GARCH; CoCo-bonds; Additional Tier-1; Volatility; Volatility forecasting; ARCH; GARCH; CoCo-obligationer; AT1; Volatilitet; Prediktion av volatilitet; Prognotisering av volatilitet;

    Sammanfattning : This research investigates to what extent the ARCH model and the GARCH model forecasts one-day-ahead out-of-sample daily volatility (conditional variance) in European AT1 CoCo bonds compared to the Random Walk model. The research also investigates how different orders of ARCH and GARCH models affect the forecasting accuracy. LÄS MER