Sökning: "The Artificial Investor"

Visar resultat 1 - 5 av 7 uppsatser innehållade orden The Artificial Investor.

1. 1. 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

3. 2. Option Pricing using Artificial Neural Networks

   Kandidat-uppsats, Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation

   Författare :Jan Müller; [2021]
   Nyckelord :Physics and Astronomy;

   Sammanfattning : Neural networks have an increasingly important role in the financial market, by offering a solution to stationarity and non-linearity whilst also providing robustness and predictive power. Options and option pricing are a fundamental area of interest in the daily activities of investment banks, hedge funds and trading firms in the financial market. LÄS MER

4. 3. Comparing machine learning models for predicting stock market volatility using social media sentiment : A comparison of the predictive power of the Artificial Neural Network, Support Vector Machine and Decision Trees models on price volatility using social media sentiment

   Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Max Persson; Arash Dabiri; [2021]
   Nyckelord :;

   Sammanfattning : We aimed to explore how the machine learning models Artificial Neural Network (ANN), Support Vector Machine (SVM) and Decision tree (DT) compared in analyzing the effects of investor sentiment (from the forum www.reddit.com/r/wallstreetbets) in conjunction with other key parameters, to predict asset price volatility of major US corporations. LÄS MER

5. 4. Politics, Artificial Intelligence, Twitter and Stock Return : An Interdisciplinary Test for Stock Price Prediction Based on Political Tweets

   Magister-uppsats, Jönköping University/IHH, Företagsekonomi

   Författare :Reamflar Elvio Estebano Troeman; Lisa Fischer; [2020]
   Nyckelord :Stock Price Prediction; Politics; Efficient Market Hypothesis; Twitter; Artificial Intelligence; Sentiment Analysis; Event Study;

   Sammanfattning : As the world is gravitating toward an information economy, it has become more and more critical for an investor to understand the impact of data and information. One of the sources of data that can be converted into information are texts from microblogging platforms, such as Twitter. LÄS MER

7. 5. Modernt beslutsfattande, Människa eller AI : En kvalitativ studie om hur olika faktorer påverkar investerares beslutsfattande kring investeringar i AI-styrda fonder.

   Magister-uppsats, Linköpings universitet/Företagsekonomi; Linköpings universitet/Filosofiska fakulteten

   Författare :Fredrik Nygren; Olof Thelander; [2019]
   Nyckelord :Artificial intelligence; decision making; decision making process; rationality; bounded rationality and intuition; Artificiell Intelligens; beslutsfattande; beslutsfattarprocess; rationalitet; begränsad rationalitet och intuition;

   Sammanfattning : Bakgrund: Det har länge forskats kring beslutsfattande och i centrum av forskningen finns människans oförmåga att fatta rationella beslut. I modern tid har AI fått en allt större betydelse och det har uppdagats att AI har möjligheten att överkomma människans oförmåga att fatta rationella beslut. LÄS MER