Bachelorarbeit, 2015
67 Seiten, Note: 2:1 (68%)
Chapter 1 - Introduction
1.1 Origin of Efficient Market Hypothesis
1.2 Aims and Objectives of the Research
1.3 Outline of the Chapters
Chapter 2 - Literature Review
2.1 Introduction
2.2 Market Efficiencies
2.3 Information Announcements in Capital Markets
2.4 Anomalies in Capital Markets
2.5 Intra-Day Effect
2.6 Judgments and Values in Computer Games
2.7 Common Exchange Mechanisms
2.8 Regulation of Virtual Markets
2.9 Chapter Summary
Chapter 3 - Methodology
3.1 Introduction
3.2 Research Questions
3.3 Quota Sampling
3.4 Method of Data Collection
3.5 Method of Data Analysis
3.6 Limitations and Validity of the Research Method
3.7 Ethical Consideration
3.8 Chapter Summary
Chapter 4 - Findings and Analysis
4.1 Introduction
4.2 Expected Results
4.3 Actual Results
4.4 Chapter Summary
Chapter 5 - Discussion
5.1 Introduction
5.2 Do in-game virtual markets suffer from the Intra-Day Effect?
5.3 What happens when new information becomes publicly available?
5.4 Does this reflect what happens in real world markets?
Chapter 6 - Conclusion
6.1 Implication of this Research
6.2 Limitations and Further Research
The primary aim of this dissertation is to analyze the Efficient Market Hypothesis within the context of virtual economies, specifically investigating whether market anomalies like the intra-day effect exist and how these markets react to public information announcements.
2.4 Anomalies in Capital Markets
Many observed market movements are not explained by the arguments presented by the efficient market hypothesis contested earlier. In the standard finance theory, market movements that are inconsistent with the efficient market hypothesis are called anomalies (Bostanci, 2003). According to Tversky and Kahneman (1986) “an anomaly is a deviation from the presently accepted paradigms that is too widespread to be ignored, too systematic to be dismissed as random error, and too fundamental to be accommodated by relaxing the normative system” (p. 252). Examples of Anomalies in capital markets are; January Effect, Low Book Value Effect, Neglected Firm Effect, the Reversal Effect, Days of the Week Effect, Dogs of the Dow Effect and the Intra Day Effect. It is also worth mentioning the potential information announcement anomaly discussed in the previous section of this chapter as it does play a role in achieving abnormal returns in spite of the efficient market hypothesis.
Chapter 1 - Introduction: This chapter introduces the Efficient Market Hypothesis and outlines the dissertation's aims to investigate this theory within a virtual FIFA football market.
Chapter 2 - Literature Review: The literature review critically analyzes existing research on market efficiency, information announcements, and various market anomalies to establish a theoretical framework.
Chapter 3 - Methodology: This chapter details the quota sampling of player cards, the secondary data collection methods from FUTBIN, and the statistical techniques used for analysis.
Chapter 4 - Findings and Analysis: This chapter presents the empirical results, comparing expected outcomes derived from literature with the actual findings regarding card price movements.
Chapter 5 - Discussion: The discussion interprets the research findings, addressing the core research questions regarding the intra-day effect and market reactions to new information.
Chapter 6 - Conclusion: The conclusion summarizes the study, confirming the existence of anomalies while noting the market's semi-strong form efficiency in reaction to announcements.
VIRTUAL-MARKETS, EFFICIENT-MARKET-HYPOTHESIS, MARKET-ANOMALIES, INFORMATION-ANNOUNCEMENTS, INTRA-DAY-EFFECT, FIFA, FUT-COINS, PRICE-MOVEMENTS, SEMI-STRONG-FORM-EFFICIENCY, VOLATILITY, ARBITRAGE, SECONDARY-RESEARCH, DATA-ANALYSIS, MARKET-OVERREACTION
The study primarily investigates the validity of the Efficient Market Hypothesis within the virtual economic environment of the FIFA Ultimate Team game.
The research covers financial market theory, specifically focusing on market efficiency, capital market anomalies, information announcements, and the behavior of virtual economies.
The study aims to determine if in-game virtual markets experience the "intra-day effect," how they react to public information, and whether these behaviors parallel real-world market patterns.
The research uses secondary data collection through a quota sample of 118 player cards, applying statistical tests such as mean, standard deviation, and coefficient of variance analysis.
The main body discusses the origin of EMH, a comprehensive review of literature on anomalies, the methodology for virtual market analysis, and a discussion of the empirical findings regarding price volatility.
Key terms include Virtual-Markets, Efficient-Market-Hypothesis, Market-Anomalies, Information-Announcements, and Intra-Day-Effect.
The analysis shows that while there is an initial market overreaction to announcements, the market eventually demonstrates semi-strong form efficiency by readjusting to a new equilibrium.
The study identified a significant intra-day effect on Wednesdays, characterized by extreme price volatility and a 233% price increase prior to the "Team of the Week" announcement.
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