Essays about: "s p500"
Showing result 1 - 5 of 45 essays containing the words s p500.
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1. CAViaR and Cross-sectional quantile regression models to assess risk in S&P500 sectors
University essay from Göteborgs universitet/Graduate SchoolAbstract : The aim of this thesis is to investigate the performance of different models used in risk management to identify and control risks that may negatively impact company operations due to unpredictable events. More specifically, the object of this paper is the discussion of a cross-sectional quantile regression model (CSQR) and the CAViaR model, which is a time series quantile regression model. READ MORE
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2. Impact of the Capital Structure Choice on Firm Performance: A Quantitative Study of the Biggest Healthcare and Energy Companies in the USA
University essay from Lunds universitet/Företagsekonomiska institutionenAbstract : Purpose The aim of this research paper is to provide valuable insights to existing theoretical foundation of choice of capital structure, and exploring the relationship between capital structure and firm performance through testing whether capital structure affects firm performance in the USA listed healthcare and energy companies. Theoretical perspective The presented theories cover different views on the preferred choice of capital structure and academics views on its effect on firm performance. READ MORE
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3. Into the Trading Book: Estimating Expected Shortfall
University essay from Lunds universitet/Nationalekonomiska institutionenAbstract : In light of the revised 2019 proposals constituting the Fundamental Review of the Trading Book, which amend the third Basel Accord, expected shortfall is set to replace value at risk as the risk measure dictating banks' capital reserving requirements for exposure to market risk. This paper examines how best to accurately estimate expected shortfall from a regulatory perspective by carrying out an array of non-parametric as well as parametric methods over the recent years of financial instability. READ MORE
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4. A comparison of forecasting techniques: Predicting the S&P500
University essay from Uppsala universitet/Statistiska institutionenAbstract : Accurately predicting the S\&P 500 index means knowing where the US economy is heading. If there was a model that could predict the S\&P 500 with even some accuracy, this would be extremely valuable. Machine learning techniques such as neural network and Random forest have become more popular in forecasting. READ MORE
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5. Key Determinants of Gold Price and testing for the optimal S&P 500/Gold allocation.
University essay fromAbstract : In the light of an ever more intense discussion regarding the potential benefits of investing in physical gold, this study aims to provide investors with a deeper understanding for the fundamental drivers of gold price development, as well as give investors a fact-based approach on how gold investments can be incorporated in a stock market portfolio most optimally. By processing data gathered from a range of selected professionals with expertise within the field of gold, the result of this study reveals that the US Monetary Supply, Geopolitical risks and US real interest rates are deemed to be three key determinants of gold prices, giving unique insights regarding the expected characteristics of the market. READ MORE
