Essays about: "Stock indices"
Showing result 21 - 25 of 156 essays containing the words Stock indices.
-
21. Optimal Portfolio Allocation of Commodities for the Swedish Investor
University essay fromAbstract : Commodities have historically been seen as great diversifiers to stocks and bonds. Following the financialization in late 1990s and early 2000s this began to be questioned by previous research due to increasing correlations with the stock market, which has created a need for further research with in the field. READ MORE
-
22. Volatility forecasting on global stock market indices : Evaluation and comparison of GARCH-family models forecasting performance
University essay from Umeå universitet/NationalekonomiAbstract : Volatility is arguably one of the most important measures in financial economics since it is often used as a rough measure of the total risk of financial assets. Many volatility models have been developed to model the process, where the GARCH-family models capture several characteristics that are observed in financial data. READ MORE
-
23. The Stock Market as a Leading Macroeconomic Indicator
University essay from Linnéuniversitetet/Institutionen för ekonomistyrning och logistik (ELO)Abstract : This article goes on to explain and seek if there is any predictive power in the stock markets toward GDP. Put in other words, this study examines whether or not the stock market can be seen as a leading indicator toward GDP for the ten biggest economies measured by GDP in the year 2020. READ MORE
-
24. Time Series forecasting of the SP Global Clean Energy Index using a Multivariate LSTM
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Clean energy and machine learning are subjects that play significant roles in shaping our future. The current climate crisis has forced the world to take action towards more sustainable solutions. Arrangements such as the UN’s Sustainable Development Goals and the Paris Agreement are causing an increased interest in renewable energy solutions. READ MORE
-
25. Using LSTM Neural Networks To Predict Daily Stock Returns
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : Long short-term memory (LSTM) neural networks have been proven to be effective for time series prediction, even in some instances where the data is non-stationary. This lead us to examine their predictive ability of stock market returns, as the development of stock prices and returns tend to be a non-stationary time series. READ MORE