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Visar resultat 1 - 5 av 397 uppsatser som matchar ovanstående sökkriterier.

  1. 1. Beyond the Crisis: A Safe Haven Analysis : Empirical Insights into the Divergence of Gold and Bonds for Portfolio Hedging

    Kandidat-uppsats, Umeå universitet/Företagsekonomi

    Författare :Anthony Baugi; Eugene Zhang; [2024]
    Nyckelord :Gold; Bonds; Safe Haven; Hedging; US Treasury; Volatility; Covid; Portfolio Theory; Asset Dynamics; Fiscal Policy; Monetary Policy; Financial Crisis; Asset Management; Risk Management; Portfolio Risk;

    Sammanfattning : Purpose: This thesis investigates the relationship concerning traditional safe haven assets, gold and US 10-year treasury bonds during periods of market instability, specifically during the economic concerns raised by the COVID-19 pandemic. It assesses the hedging and safe haven properties of these assets and their dynamic nature throughout two periods of unconventional monetary and fiscal policy measures by the Federal Reserve & US Congress respectively. LÄS MER

  2. 2. Exploring the Idiosyncratic Volatility Anomaly in the Swedish Stock Market: An Empirical Analysis of its Impact on Returns

    Master-uppsats, Göteborgs universitet/Graduate School

    Författare :Anton Ahlqvist; Walter Uong; [2023-06-29]
    Nyckelord :;

    Sammanfattning : We examine the cross-sectional relationship between idiosyncratic volatility relative to the Fama-French three factor model and expected stock returns. We find that portfolios containing the firms with the lowest idiosyncratic risk offers excess returns in relation to the prediction of the Fama-French three factor model, while those with the highest idiosyncratic risk do not. LÄS MER

  3. 3. Volatility Forecasting - A comparative study of different forecasting models.

    Kandidat-uppsats,

    Författare :Emil Sturesson; Anton Wennström; [2023-06-29]
    Nyckelord :Volatility; GARCH; EGARCH; t-GAS; HAR-RV; Realized GARCH; Volatility Forecasting; Volatility Modelling;

    Sammanfattning : This study evaluates the out-of-sample forecasting performance of different volatility mod- els. When applied to XACT OMXS30, we use GARCH(1,1), EGARCH(1,1), and t- GAS(1,1) to forecast squared daily returns while Realized GARCH(1,1) and HAR-RV are used to forecast Realized Variance. LÄS MER

  4. 4. Forecasting Volatility of Ether- An empirical evaluation of volatility models and their capacity to forecast one-day-ahead volatility of Ether

    Master-uppsats, Göteborgs universitet/Graduate School

    Författare :Johannes Marmdal; Adam Törnqvist; [2023-06-29]
    Nyckelord :Forecast; Volatility; Ether; GARCH; EWMA; SMA;

    Sammanfattning : This study evaluates the performance of volatility models in forecasting one-day-ahead volatility of the cryptocurrency Ether. The selected models are: GARCH, EGARCH, GJR-GARCH, SMA9, SMA20, and EWMA. We investigate both in-sample performance and out-of-sample performance. LÄS MER

  5. 5. Value at Risk Estimation using GARCH Family Models: A Comparison of Different Specifications and Distributions.

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

    Författare :Khaled Jrideh; [2023-05-26]
    Nyckelord :;

    Sammanfattning : The objective of this study is to compare the performance of different GARCH models, under various conditional distribution assumptions, to predict one-day-ahead Value-at-Risk (VaR) for three stocks: Swedbank, Handelsbanken, and SEB over the Covid-19 period. The performance is evaluated using Kupiec, Christoffersen tests and the Quadratic Loss. LÄS MER