Essays about: "regression finance"

Showing result 1 - 5 of 181 essays containing the words regression finance.

1. 1. Explaining Gender-Based Political Funding: A quantitative cross-national analysis of the impact of electoral, political, and cultural factors on political funding

   University essay from Uppsala universitet/Statsvetenskapliga institutionen

   Author : Saba Muneer; [2024]
   Keywords : gender targeted public funding; gender quotas; cross national; gender and politics; political; electoral; cultural; regression analysis;

   Abstract : Despite global progress on gender equality, women continue to be underrepresented in politics. One widely debated policy measure aimed at tackling this issue is gendered public funding – which has been adopted in more than 30 countries worldwide yet remains understudied in the literature on gender and politics. READ MORE

3. 2. TACKLING CLIMATE CHANGE: EXAMINING BUREAUCRATIC INFLUENCES ON GREEN AID A quantitative study of the effect of politicized bureaucracy on the effectiveness of climate mitigating aid – a global perspective.

   University essay from Göteborgs universitet/Statsvetenskapliga institutionen

   Author : Tova Jonasson; [2023-09-20]
   Keywords : Official Development Assistance; ODA; Climate change mitigation; CO2 emissions; Politicization; Bureaucracy; Clientelism; Forbearance;

   Abstract : The climate threat is alarming, which has spurred research regarding how to mitigate its consequences. A significant amount of environmental aid is transferred yearly, to help developing countries adjust and mitigate climate change. READ MORE

4. 3. Predictability of Shareholder Return in Medical Device Companies : Investment Decisions from thePerspective of an Investment Firm

   University essay from KTH/Skolan för industriell teknik och management (ITM)

   Author : Daniel Gröttheim; [2023]
   Keywords : 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;

   Abstract : 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. READ MORE

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

   University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

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

   Abstract : 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. READ MORE

6. 5. Artificial Neural Networks for Financial Time Series Prediction

   University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

   Author : Dana Malas; [2023]
   Keywords : artificial neural networks; time series analysis; deep learning; finance; long short-term memory; simple moving average;

   Abstract : Financial market forecasting is a challenging and complex task due to the sensitivity of the market to various factors such as political, economic, and social factors. However, recent advances in machine learning and computation technology have led to an increased interest in using deep learning for forecasting financial data. READ MORE