Sökning: "trading variables"
Visar resultat 1 - 5 av 145 uppsatser innehållade orden trading variables.
1. Is the EU ETS effective? Examining the impact of the EU ETS on methane emissions
Kandidat-uppsats,Sammanfattning : The European Union Emission Trading System (EU ETS) is the world's largest trading system for emissions. It has a crucial role to play in meeting the goals of the Paris Agreement. However, there has been debate over its effectiveness. This thesis examines how the EU ETS impacts methane emissions. LÄS MER
2. Seasoned Equity Offerings and Disclosure Sentiment Effects: Evidence from the U.S.
Master-uppsats, Göteborgs universitet/Graduate SchoolSammanfattning : This paper updates the data regarding Seasoned Equity Offering firms (SEOs) long-term performance and finds evidence in line with prior research that they underperform in the longterm. Furthermore, using automated textual analysis on the relevant disclosure filings SEO firms in the United States publish (Form 10-K, Form 8-K and Form 424B), we investigate the relationship between disclosure sentiment variables and long-term return performance. LÄS MER
3. Can outsiders obtain abnormal returns by imitating insider trading? : - An application to trade in tech stocks on the Nasdaq Stockholm stockexchange. Comparing high and low volatile stocks.
Magister-uppsats, Jönköping University/Internationella HandelshögskolanSammanfattning : Abstract Title: Can outsiders obtain abnormal returns by imitating insider trading?- An application to trade in tech stocks on the Nasdaq Stockholm stock exchange.Comparing high and low volatile stocks. Course: JEFT27. LÄS MER
4. The effect of covid-19 announcement on sustainable investment portfolios : Observation of the flight-to-quality phenomenon
Magister-uppsats, Jönköping University/Internationella HandelshögskolanSammanfattning : The economic impact of the COVID-19 pandemic is still an ongoing topic, broadly analysed and discussed in many studies. Recent articles state that sustainable assets can offer return volatility resilience during demand shock events and, in some cases, provide higher returns than their unsustainable counterparts. LÄS MER
5. Can Machine Be a Good Stock Picker?: Bridging the Gap between Fundamental Data and Machine Learning
D-uppsats, Handelshögskolan i Stockholm/Institutionen för finansiell ekonomiSammanfattning : We investigate the efficacy of historical accounting data and consensus forecasts for relative valuation of stocks, employing tree-based machine learning methods. We run an XGBoost model for monthly cross-sections of financial and pricing data of US equities from 1984 to 2021. LÄS MER