Sökning: "Daily Returns"
Visar resultat 1 - 5 av 197 uppsatser innehållade orden Daily Returns.
1. The impact of firm-level greenness on the transmission of monetary policy shocks to stock market prices in Sweden
C-uppsats, Handelshögskolan i Stockholm/Institutionen för nationalekonomiSammanfattning : A growing literature has indicated that monetary policy shocks impact the stock prices of brown firms more strongly than the stock prices of green firms. Monetary policy tightening is associated with lower stock prices since it leads to a higher cost of capital and in turn a higher discount rate for the expected stream of cash flows. LÄS MER
2. Beyond Profits: Exploring the Investment Styles and Risk-Adjusted Returns of ESG-Driven Portfolios
Kandidat-uppsats,Sammanfattning : This study uses daily data to examine how different ESG implementations affect performance and portfolio characteristics. With a non-homogenous view of how ESG investing is defined, ten different value-weighted portfolios are constructed. The geographical focus is the US market, with the S&P 500 total return index (SPXTR) as the screening universe. LÄS MER
3. Analyst Recommendations and Stock Returns Evaluating the performance of Nordic markets based on analyst consensus recommendations, and the impact of MiFID II
Kandidat-uppsats,Sammanfattning : This study evaluates the performance of equity analysts who cover publicly traded stocks in the Nordic markets. To assess their performance, we employ a method that involves creating daily rebalanced portfolios based on the consensus recommendation for each covered company over four years. LÄS MER
4. The illiquidity exposure factor: An overlooked driver of mutual fund performance
Master-uppsats, Göteborgs universitet/Graduate SchoolSammanfattning : This paper examines if Swedish-focused mutual funds with more illiquid holdings produce higher alpha. By extending the classic Fama and French five-factor model, we pinpoint the effect of illiquidity in underlying holdings on mutual fund alpha generation through a two-step regression model with data between 2019-2022. LÄS MER
5. Volatility Forecasting - A comparative study of different forecasting models.
Kandidat-uppsats,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
