Essays about: "stocks thesis"
Showing result 1 - 5 of 344 essays containing the words stocks thesis.
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1. Stock Price Predictions for FAANG Companies Using Machine Learning Models
University essay from Lunds universitet/Statistiska institutionenAbstract : The financial industry is one of the highest grossing sectors in the world as it is estimated to represent 24\% of the global economy. As most companies want their asset value to increase, it is of high interest to make good investments which will increase in either the short or long run. READ MORE
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2. Development of a System Dynamic Model of Mental Healthcare Structure in Stockholm
University essay from KTH/Medicinteknik och hälsosystemAbstract : Mental illnesses are the leading cause of disability in the world today, affecting nearly a billion people including 14% of the world’s adolescents. Mental illnesses include both psychiatric conditions and inconveniences and is a broad term to describe multiple different conditions in varying severity. READ MORE
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3. Is ESG Investing The Future? A Comparison Of Old And New Investment Strategies
University essay fromAbstract : This thesis researches whether investing in stocks with high ESG-scores is a viable investment strategy compared to investing in stocks with low PE-ratios. This has been done through first testing the relationship between annual returns and ESG-scores and PE-ratios respectively. READ MORE
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4. The Insider Scoop: A Study on the Effect of Insider Trading and Abnormal Stock Returns During Uncertain Market Condition of the Russia-Ukraine War
University essay from Handelshögskolan i Stockholm/Institutionen för finansiell ekonomiAbstract : This paper examines how insider transactions of stocks listed on Nasdaq Stockholm generate abnormal returns during the period 2016-2022 and extends on how abnormal returns react in times of uncertainty, i.e., after the Invasion of Ukraine. READ MORE
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5. On Predicting Price Volatility from Limit Order Books
University essay from Uppsala universitet/Matematiska institutionenAbstract : Accurate forecasting of stock price movements is crucial for optimizing trade execution and mitigating risk in automated trading environments, especially when leveraging Limit Order Book (LOB) data. However, developing predictive models from LOB data presents substantial challenges due to its inherent complexities and high-frequency nature. READ MORE