Sökning: "Finance research paper"

Visar resultat 1 - 5 av 152 uppsatser innehållade orden Finance research paper.

  1. 1. Patience, the feminine virtue of investing : A mixed-methods approach to studying gender-based investment behaviours and the investment gap.

    Magister-uppsats, Jönköping University/IHH, Företagsekonomi

    Författare :Agnes Eriksson; Elsa Leijon; [2023]
    Nyckelord :Investment Gap; Investment Behaviour; Overconfidence; Risk; Financial Literacy; Financial Advisory; Stereotypes; Gender Bias;

    Sammanfattning : Background – This study discusses gender-based differences in investment behaviour and its economic consequences. Despite significant advancements in gender equality, inequalities such as the gender wealth gap exist. This paper explores the difference in investment behaviour and factors that influence said behaviour. LÄS MER

  3. 2. Testing IoT Security : A comparison of existing penetration testing frameworks and proposing a generic framework

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Författare :Alva Widerberg Palmfeldt; William Mattsson; [2023]
    Nyckelord :Internet of Things; penetration testing; standardization; framework; vulnerability exploitation;

    Sammanfattning : The Internet of Things (IoT) refers to the billions of physical devices linked to the Internet worldwide, integrating into various systems like healthcare, finance, and transportation. However, the rapid market expansion has led to software and hardware security shortcomings, leaving IoT devices vulnerable to cybercriminals. LÄS MER

  4. 3. Blended Finance and the Diffusion of Renewable Energy Innovation : An exploratory study on bridging the commercialization fundinggap of renewable energy projects in Southeast Asia

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Alma Berggren Ek; [2023]
    Nyckelord :Blended finance; climate finance; renewable energy investments; diffusion of innovation; Southeast Asia; Blandfinansiering; klimatfinansiering; förnyelsebar energi; Sydostasien;

    Sammanfattning : Blended finance has the past decade become an increasingly popular way for development banks in Southeast Asia to invest in renewable energy projects with the aim of mobilizing additional private investments. Although definitions of the method differ among stakeholders, blended finance is a way of blending development loans with below-market-rate funds to lower risks experienced by private investors. LÄS MER

  5. 4. How Venture Capital Could Use Large Language Models to Screen Sustainability Impact Startups

    Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Miljö- och energisystem

    Författare :Måns Vilhelm Tivenius; Karl-Gustav Elf; [2023]
    Nyckelord :Large Language Models; Venture Capital; Impact Investing; Prompt Engineering; GPT-4; ChatGPT; Impact; Sustainability; Artificial Intelligence; Startup success; Impact startup; Impact measurement; Screening; AI for good; Technology and Engineering;

    Sammanfattning : This study investigates the potential of large language models (LLMs), such as ChatGPT, to aid venture capitalists in the screening of startups that maximize sustainability impact. To determine the scope that maximizes impact for venture capitalists' and to identify effective screening criteria, the study utilized theoretical research and interviews. LÄS MER

  7. 5. 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