Sökning: "Sharpe index ratio"
Visar resultat 1 - 5 av 114 uppsatser innehållade orden Sharpe index ratio.
1. Do actively managed Sweden funds yield higher return better than passively managed funds, during a volatile market, when taking risk into account?
Kandidat-uppsats, Göteborgs universitet/Företagsekonomiska institutionenSammanfattning : This paper is examining if Swedish actively managed funds is creating more value for investors compared to Swedish index funds. The study is focused on the time period 2012-2022. Three risk-adjusted measurements are used to execute this mission. LÄS MER
2. Socially Responsible and Financially Rewarding: The Relationship Between ESG and Stock Market Returns
D-uppsats, Handelshögskolan i Stockholm/Institutionen för finansiell ekonomiSammanfattning : We study the link between the ESG-performance of 20 OECD countries and the excess returns of their major stock indices between 2005 and 2015. Our research shows a significant positive relationship between the two metrics. LÄS MER
3. Predicting the Movement of the S&P 500 Index using Machine Learning
Magister-uppsats, Lunds universitet/Nationalekonomiska institutionen; Lunds universitet/Statistiska institutionenSammanfattning : Predicting the stock market has been a longstanding topic of interest in financial research. It is regarded as a highly challenging but important task given the vital role the financial markets play in shaping the global economies. In this thesis, the goal is to predict the movement of the S&P 500 Index using machine learning methods. LÄS MER
4. A Quantitative Framework for Constructing a Multi-Asset CTA with a Momentum-Based Approach
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/DatalogiSammanfattning : Commodity Trading Advisors (CTAs) have gained popularity due to their abilities to generate an absolute return strategy. Little is known about how CTAs work and what variables are important to tune in order to create a profitable strategy. LÄS MER
5. Evaluating the Effect of Meta-Labeling on Equity Market Neutral Strategy
Kandidat-uppsats, Lunds universitet/Statistiska institutionenSammanfattning : This thesis aims to construct an Equity Market Neutral (EMN) strategy framework to predict intraday excess returns of stocks within the S&P 500 index by utilizing machine learning techniques proposed by (López de Prado, 2018). The constructed EMN strategies within the framework utilizes techniques such as Stacked Single Feature Importance (SSFI), sample weighting, Probabilistic Sharpe Ratio (PSR), and meta-labeling. LÄS MER