Dokument: Four Essays on Modeling and Analyzing Investor Interactions in Financial Markets, Herding Behavior, and Speculative Bubbles

Titel:Four Essays on Modeling and Analyzing Investor Interactions in Financial Markets, Herding Behavior, and Speculative Bubbles
Weiterer Titel:Four Essays on Modeling and Analyzing Investor Interactions in Financial Markets, Herding Behavior, and Speculative Bubbles
URL für Lesezeichen:https://docserv.uni-duesseldorf.de/servlets/DocumentServlet?id=69115
URN (NBN):urn:nbn:de:hbz:061-20250325-110152-6
Kollektion:Dissertationen
Sprache:Englisch
Dokumententyp:Wissenschaftliche Abschlussarbeiten » Dissertation
Medientyp:Text
Autor: Stiebel, John Henrik [Autor]
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Dateien vom 23.03.2025 / geändert 23.03.2025
Beitragende:Prof. Dr. Börner, Christoph J. [Betreuer/Doktorvater]
Prof. Dr. Börner, Christoph J. [Gutachter]
Prof. Dr. Neyer, Ulrike [Gutachter]
Düsseldorf University Press:Wirtschaftswissenschaften
Beschreibungen:This dissertation investigates investor interactions in financial markets, focusing on herd behavior and speculative bubbles. The study employs modeling approaches from statistical physics, particularly the Ising model, to describe collective behavior among investors. A key aspect is the transferability of variables from physical to economic contexts, addressing challenges in aligning these systems. The research also involves calibrating the model using capital market data and assessing its applicability in forecasting price developments and risk assessment. Furthermore, the empirical relationship between herd behavior and speculative bubbles is examined to understand their impact on financial stability. By integrating concepts from behavioral finance and econophysics, this work contributes to a deeper understanding of market anomalies and the dynamics of financial markets.

This dissertation investigates investor interactions in financial markets, focusing on herd behavior and speculative bubbles. The study employs modeling approaches from statistical physics, particularly the Ising model, to describe collective behavior among investors. A key aspect is the transferability of variables from physical to economic contexts, addressing challenges in aligning these systems. The research also involves calibrating the model using capital market data and assessing its applicability in forecasting price developments and risk assessment. Furthermore, the empirical relationship between herd behavior and speculative bubbles is examined to understand their impact on financial stability. By integrating concepts from behavioral finance and econophysics, this work contributes to a deeper understanding of market anomalies and the dynamics of financial markets.
Lizenz:Creative Commons Lizenzvertrag
Dieses Werk ist lizenziert unter einer Creative Commons Namensnennung 4.0 International Lizenz
Fachbereich / Einrichtung:Wirtschaftswissenschaftliche Fakultät » BWL, insbes. Finanzdienstleistungen
Dokument erstellt am:25.03.2025
Dateien geändert am:25.03.2025
Promotionsantrag am:12.11.2024
Datum der Promotion:25.02.2025
english
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