Diplomarbeit, 2006
73 Seiten, Note: 1,3
1 Introduction
1.1 Presentation of the Problem
1.2 Basic Concepts
1.3 Objective and Structure of the Thesis
2 Rating of Corporate Bonds
2.1 Definition and Role of Credit Rating on the Capital Market
2.2 Historical Development
2.3 Rating Classification
2.4 The Rating Process
2.4.1 Organization
2.4.2 Analysis Criteria of Rating Agencies
2.4.3 Qualitative Aspects in the Analysis of Company Risk
2.4.4 Quantitative Aspects in the Analysis of Company Risk
2.5 The Rating Market of Corporate Bonds
3 The Influence of Rating Changes on Bonds
3.1 The Interdependence between Bond Credit Risk and Rating
3.1.1 Bond Ratings and Credit Risk
3.1.2 Theoretical Models for Credit Risk Evaluation
3.1.2.1 Statistical Prediction of Default Likelihood – Stochastic Processes
3.1.2.2 Option-theoretic Approach
3.1.3 Credit Rating Models in Practice
3.1.3.1 Migration Analysis
3.1.3.2 Credit Risk Practical Applications
3.2 Influence of Rating Changes on Bonds in Theory and Practice
3.2.1 Rating in the Neoclassical Financial Theory
3.2.1.1 The Concept of Information Efficient Markets
3.2.1.2 Theoretical Relevance of Rating in Efficient Markets
3.2.1.3 Information Basis of Rating Verdicts
3.2.1.4 Hypotheses about Influence of Rating Changes on Bonds Prices
3.2.2 Rating in Real Capital Markets – Empirical Research
3.2.2.1 Event Studies
3.2.2.2 Presentation of the Conducted Research
3.2.2.3 Conclusions
3.2.3 Explanations of Divergences between Theoretical and Empirical Research
3.2.3.1 The Non-equidistant Character of Rating Verdicts
3.2.3.2 Different Definitions of Risk
3.2.3.3 Investment Regulations and Restrictions
3.3 Significant Examples of Rating Influence on Corporate Bonds
3.3.1 Telefonica
3.3.2 General Motors
3.4 Influence of Rating Changes of a Bond on other Investment Alternatives
4 Contemporary Aspects of Rating Influence on Capital Markets
4.1 Rating in Germany
4.2 Rating of Landesbanken and Savings Bank
4.3 Rating and Basel II
4.4 Possibilities and Limits of Rating
5 Conclusion and Future Perspectives
The primary objective of this thesis is to investigate the impact of rating changes on corporate bond prices within financial markets, analyzing both theoretical foundations and empirical evidence to understand how information content affects security valuation.
2.4.1 Organization
The course and organization of a rating process depend on the nature of rating (solicited or unsolicited rating). In the case of unsolicited rating, the analysis process is much shorter, because there is no contact with the evaluated company, therefore only previously released public information is available. Hence, the unsolicited rating quality is usually poorer. The more common solicited rating begins with the issuer’s application. After the initial approach, a team of 4-5 rating analysts is set, and the phase of information gathering starts. This implies company presentations, discussions with the top-management and access to internal, else confidential information, as well as assessment of standard data from annual financial statements or business reports. After a comprehensive analysis of country, sector, company and security risks, a first opinion on the issue emerges. This preliminary rating result is the object of a detailed discussion with the management. The management thus has the chance to present new relevant data or to propose additional guarantees that would improve the rating, before the final result is released. The entire process requires around 90 days. The next two chapters introduce the relevant analysis criteria in the rating process, focusing on the particularities of investigating company risk.
1 Introduction: This chapter introduces the problem of credit risk assessment in global markets and outlines the structure and goals of the thesis.
2 Rating of Corporate Bonds: This section provides an overview of the rating process, including analysis criteria, qualitative and quantitative factors, and the current state of the rating market.
3 The Influence of Rating Changes on Bonds: This chapter analyzes the connection between credit risk and ratings, examines the information content within theoretical and empirical frameworks, and provides case studies of rating impacts.
4 Contemporary Aspects of Rating Influence on Capital Markets: This chapter investigates current trends in the German rating market, the impact of Basel II, and the limitations of modern credit rating practices.
5 Conclusion and Future Perspectives: This chapter summarizes the study's findings and suggests directions for future academic research in the field.
Credit Rating, Corporate Bonds, Default Risk, Information Efficiency, Capital Markets, Basel II, Event Studies, Credit Spread, Rating Agencies, Financial Regulation, Market Anticipation, Investment Grade, Speculative Grade, Risk Management, Default Probability
The work examines the information content of credit ratings and how changes in these ratings influence the pricing of corporate bonds in global financial markets.
Central themes include the methodology behind credit risk evaluation, the relationship between ratings and market efficiency, and the empirical impact of rating adjustments on bond yields.
The study explores whether and to what extent rating changes provide new information that triggers price reactions in bonds, and how these reactions differ across various market environments.
The author utilizes a comprehensive review of theoretical financial literature alongside an analysis of numerous empirical event studies to evaluate market reactions to rating changes.
The main body covers the mechanics of the rating process, the theoretical models for credit risk, an extensive review of empirical research since 1974, and case studies involving Telefonica and General Motors.
Key terms include credit rating, corporate bonds, default risk, market efficiency, Basel II, and credit spreads.
The author highlights the downgrade of Telefonica as a classic example of an immediate, permanent increase in credit spreads following a company-specific event that led to an aggressive financial policy.
The study notes that rating agencies were significantly slower to downgrade General Motors compared to the market's prompt reaction, illustrating issues with rating lags and political/strategic influences on rating decisions.
The work uses the Fama efficient market paradigm, specifically exploring semi-strong efficiency, to assess if rating changes provide information that is not already captured by current market prices.
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