Sökning: "stock return prediction"
Visar resultat 1 - 5 av 32 uppsatser innehållade orden stock return prediction.
1. Predictability of Shareholder Return in Medical Device Companies : Investment Decisions from thePerspective of an Investment Firm
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : The medical device industry has seen rapid growth in recent years, and the increasing valuations has caught the attention of investors. Although their growth has outpaced many indices, medical device companies’ reliance on capital to finance research, patents, and clinical testing to reach pre-market approval makes due-diligence and the investment research process especially complex. LÄS MER
2. A Regression Analysis of the Parameters Influencing the Share Price During the First Day After an IPO
Kandidat-uppsats, KTH/Matematisk statistikSammanfattning : This study focuses on initial public offerings (IPOs), which are the process of making a company's shares available for public trading on a stock market. Despite global uncertainties in recent years, there has been a high demand for company listings in the market. LÄS MER
3. Accounting for the Measurement Bias: A Study of Market Efficiency in the United States and the Relevance of Extensive Fundamental Analysis in Equity Valuation
D-uppsats, Handelshögskolan i Stockholm/Institutionen för redovisning och finansieringSammanfattning : This thesis investigates abnormal returns over the period 1983-2021 from an investment strategy that is based on public accounting information. Investment positions are taken in US manufacturing firms and are held for 36 months using a self-financing (hedged) portfolio. LÄS MER
4. LSTM-based Directional Stock Price Forecasting for Intraday Quantitative Trading
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Deep learning techniques have exhibited remarkable capabilities in capturing nonlinear patterns and dependencies in time series data. Therefore, this study investigates the application of the Long-Short-Term-Memory (LSTM) algorithm for stock price prediction in intraday quantitative trading using Swedish stocks in the OMXS30 index from February 28, 2013, to March 1, 2023. LÄS MER
5. Sentiment building from textual data content in quarterly reports
Magister-uppsats, Lunds universitet/Nationalekonomiska institutionenSammanfattning : Textual analysis is increasingly becoming a reliable tool for pattern assessing and forecasting especially statistically. Implementing such techniques in the financial field is still in an infantry stage and it represents a novel research area. LÄS MER