Sökning: "Prediction markets"

Visar resultat 1 - 5 av 98 uppsatser innehållade orden Prediction markets.

1. 1. Network Connectedness in Financial Markets

   D-uppsats, Handelshögskolan i Stockholm/Institutionen för finansiell ekonomi

   Författare :Andrea Marcolini; [2024]
   Nyckelord :Systemic risk modeling; US REITs connectedness; S P 500 connectedness; Returns and realized volatilities prediction;

   Sammanfattning : This paper is a collection of two different theses discussing the prediction of the returns and volatilities of the S&P 500 constituents and of US Real Estate Investment Trusts (REITs) by analyzing their centrality within the financial market network. Both empirical works summarize the relevant financial and network literature, demonstrating how modeling stock connectedness within financial markets makes it possible to create returns and volatility predictors, improving investors' portfolio allocations and achieved investment Sharpe ratios. LÄS MER

3. 2. 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)

   Författare :Daniel Gröttheim; [2023]
   Nyckelord :Medical device companies; pre-market approval; total return; abnormal return; stock return prediction; market anomalies; free cash flow yield; efficient markets; financial crisis; investment firm; Medicintekniska företag; förmarknadsgodkännande; totalavkastning; abnorm avkastning; aktieavkastningsförutsägbarhet; marknadsavvikelser; avkastning på fritt kassaflöde; effektiva marknader; finanskris; investeringsföretag;

   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

4. 3. Aktiemarknadsprognoser: En jämförande studie av LSTM- och SVR-modeller med olika dataset och epoker

   Kandidat-uppsats, Malmö universitet/Fakulteten för teknik och samhälle (TS)

   Författare :Mads Nørklit Johansen; Jagtej Sidhu; [2023]
   Nyckelord :Stock Market Prediction; Long-Short Term Memory; Support Vector Regression; Prediction Accuracy; Financial Investments;

   Sammanfattning : Predicting stock market trends is a complex task due to the inherent volatility and unpredictability of financial markets. Nevertheless, accurate forecasts are of critical importance to investors, financial analysts, and stakeholders, as they directly inform decision-making processes and risk management strategies associated with financial investments. LÄS MER

5. 4. Predictive Modeling and Statistical Inference for CTA returns : A Hidden Markov Approach with Sparse Logistic Regression

   Master-uppsats, Umeå universitet/Institutionen för matematik och matematisk statistik

   Författare :Oskar Fransson; [2023]
   Nyckelord :Probability theory; Statistical inference; finance; CTA; managed futures; machine learning; statistical learning; stochastic process; sparse logistic regression; Markov Chain Monte Carlo; Hidden Markov model;

   Sammanfattning : This thesis focuses on predicting trends in Commodity Trading Advisors (CTAs), also known as trend-following hedge funds. The paper applies a Hidden Markov Model (HMM) for classifying trends. Additionally, by incorporating additional features, a regularized logistic regression model is used to enhance prediction capability. LÄS MER

7. 5. Sentiment-Driven Cryptocurrency Price Prediction : A Comparative Analysis of AI Models

   Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :Jammithri Kotapati; Suma Vendrapu; [2023]
   Nyckelord :Artificial Intelligence; Cryptocurrency Prices; News Articles; Sentiment Analysis; Social Media Posts. ii;

   Sammanfattning : Background: In the last few years, there has been rapid growth in the use of cryptocurrency, as it is a form of digital currency and was developed using blockchain technology, so it is almost impossible to counterfeit cryptocurrency. Due to these features, it has attracted a lot of popularity and attention in the market. LÄS MER