Ever since in the history of stock markets, financial theorists try to understand how investors take decisions under uncertainty in order to value stocks precisely and predict their future returns. Their wish to develop a consistent model gave raise for various theoretical approaches and empirical examinations. This work tries to give a short overview on the traditional theory of asset pricing and discusses the need for a paradigm change due to the recent development in the US and UK stock markets.
Table of Contents
1. Introduction
2. The Theory of Market Efficiency
2.1 Forms of information efficient markets
2.1.1 Weak Form
2.1.2 Semi-strong Form
2.1.3 Strong Form
2.2 Asset Pricing
2.2.1 Capital Asset Pricing Model (CAPM)
2.2.2 Arbitrage Pricing Theory (ABT)
3. Recent Development in the US and UK Stock Markets
3.1. The Bubble
3. From Efficient Market Theory to Behavioural Finance
3.1 unrealistic Assumptions in CAPM
3.2 Evidence for additional Factors
3.2.1 Seasonal Effects
3.2.2 Size Effects
3.2.3 Value Effect
3.2.4 Momentum Effect
3.3 Behavioural Approach
4. Alternative Theories in Asset Pricing
4.1 Model of Investor Sentiment
4.2 Overconfidence Model
5. Conclusion
Objectives and Topics
This paper aims to evaluate the validity of the Efficient Market Hypothesis in light of recent stock market turbulence in the US and the UK. It investigates whether traditional asset pricing models are sufficient to explain market anomalies or if alternative behavioral theories provide a better framework for understanding investor behavior and price formation.
- Traditional Asset Pricing Theory and the Efficient Market Hypothesis.
- Analysis of stock market bubbles and recent volatility in the US and UK.
- Critical assessment of the limitations of the Capital Asset Pricing Model (CAPM).
- Behavioral Finance as an alternative approach to understanding market irrationality.
- Application of Investor Sentiment and Overconfidence models in asset pricing.
Excerpt from the Book
3.1. The Bubble
In the years 1998/1999 stock market indices started skyrocketing. The Nasdaq 100 started its rally from about 1500 points up to its peak in march 2000 of 5132 points, which sums up in 3421% in 18 month (figure 1). It plummeted during the next month for more than 33%, during the next year down to 1802 points, 30% of its peak value. During this period several Nasdaq companies had price earnings rations higher than 200:1. The irrational extremeness might be even clearer regarding some of the top flying shares of these days.
For example the share prices of Qualcomm Inc., an US Supplier of digital wireless communication systems, rose in 1999 from 7 to 176.125 US$ on 31.12.1999 (Figure 2). This means a growth of more than 2516% in one year. (Qualcomm, 1999) In this year Qualcomm made a net profit of 200,879,000 US$ which means 0,34 US$ per share. The working capital was about 2,101 million US$ . At this time their market capitali-sation was about 114,461,700,000 US$ and they had a price-earnings ratio of 518:1. The share price rapidly decreased from this point on down to a third of its peak value during the next 6 month.
Summary of Chapters
1. Introduction: Provides an overview of the challenges in valuing stocks under uncertainty and introduces the need for a paradigm shift in financial theory.
2. The Theory of Market Efficiency: Outlines the historical development of market efficiency, the Efficient Market Hypothesis, and traditional models like CAPM and ABT.
3. Recent Development in the US and UK Stock Markets: Documents the surge and subsequent crash of major stock market indices, highlighting the irrationality observed during the bubble years.
3. From Efficient Market Theory to Behavioural Finance: Discusses the failure of static models and introduces empirical evidence for market anomalies and the behavioral finance perspective.
4. Alternative Theories in Asset Pricing: Examines specific behavioral models, focusing on investor sentiment and overconfidence as drivers of market outcomes.
5. Conclusion: Synthesizes the findings and advocates for the integration of psychological insights into future asset pricing models.
Keywords
Efficient Market Hypothesis, Asset Pricing, Behavioral Finance, Stock Market Bubble, CAPM, Investor Sentiment, Overconfidence Model, Market Anomalies, Nasdaq, FTSE, Financial Markets, Rationality, Price-Earnings Ratio, Volatility, Equity.
Frequently Asked Questions
What is the central focus of this work?
The paper examines the validity of the Efficient Market Theory by analyzing recent extreme fluctuations in the US and British stock markets and comparing them against alternative behavioral finance models.
What are the primary thematic areas covered?
The core themes include the historical development of market efficiency, the limitations of the Capital Asset Pricing Model (CAPM), the anatomy of stock market bubbles, and the psychological factors influencing investment decisions.
What is the ultimate research goal?
The goal is to determine if current behavioral approaches offer a more consistent explanation for the observed irrationality in financial markets than traditional, static equilibrium models.
Which scientific methods are employed?
The study utilizes empirical data comparison and a literature-based review of existing financial theories and econometric studies, complemented by an analysis of historical market performance indices.
What is addressed in the main section of the paper?
The main section covers the breakdown of market efficiency through the analysis of bubbles, empirical evidence of anomalies like seasonal and size effects, and the introduction of psychological models for asset pricing.
Which keywords best characterize this work?
Key terms include Efficient Market Hypothesis, Behavioral Finance, Asset Pricing, Investor Sentiment, Overconfidence, and Market Anomalies.
How did Qualcomm's market performance illustrate the bubble phenomenon?
Qualcomm's share price increased by over 2516% in one year, reaching a price-earnings ratio of 518:1, only to plummet shortly thereafter, serving as a prime example of the irrational pricing behavior observed during the 1998/1999 period.
What is the core difference between the BSV and DHS models?
The BSV model explains market irrationality through the representativeness bias of investors, while the DHS model focuses on the misinterpretation of information caused by asymmetric market conditions and investor overconfidence.
- Quote paper
- Markus Bruetsch (Author), 2002, From Capital Market Efficiency to Behavioral Finance, Munich, GRIN Verlag, https://www.grin.com/document/14846
