Magisterarbeit, 2013
32 Seiten, Note: 67
This dissertation explores the 2010 "Flash Crash" through the lens of behavioral finance. Its goal is to provide a rational explanation for this seemingly irrational event by applying behavioral finance theories.
Chapter 1 provides an introduction to the research, outlining the structure of the dissertation and its focus on the "Flash Crash" of 2010. Chapter 2 offers a review of relevant literature in behavioral finance, examining various theories and their application to understanding market events. It discusses the need for behavioral finance to address inconsistencies in traditional financial models, particularly in light of real-world events like the "Flash Crash." Chapter 3 delves into the research questions and framework, outlining the specific inquiries to be explored in the study. The questions focus on identifying the behavioral finance theories explaining the "Flash Crash," the companies involved, and the role of circuit breakers in the event. Finally, Chapter 4 presents the research methodology, detailing the objective, protocol, and data collection techniques used to answer the research questions.
The central keywords and focus topics of this work include: behavioral finance, financial anomalies, "Flash Crash" of 2010, investor psychology, market regulation, circuit breakers, and irrational market behavior.
It was a rapid and deep market crash that occurred on May 6, 2010, where major stock indices collapsed and partially rebounded within minutes, causing significant financial anomalies.
Behavioral finance suggests that psychological factors, instincts, and irrational decision-making by investors contributed to the event, rather than just technical or financial failures.
Status quo bias is a behavioral theory where individuals prefer things to stay as they are, which can lead to delayed or irrational reactions during sudden market volatility.
The research examines whether existing circuit breakers were effective in stopping the crash and how they have been modified to prevent similar future events.
Feedback theories often differentiate between professional institutional investors (smart money) and individual retail investors, analyzing how their different behaviors impact market stability.
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