Masterarbeit, 2018
72 Seiten, Note: 1,3
1 Introduction
2 Introducing Sovereign Wealth Funds
2.1 The Rise of Sovereign Wealth Funds
2.2 Definition of “Sovereign Wealth Fund”
2.3 Funding Sources of SWFs
2.4 Scientific Discussion about SWFs
3 Data and Sample Overview
3.1 Data Sources and Sample Selection
3.1.1 Sovereign wealth fund transactions
3.1.2 Unique company identifiers
3.1.3 Financial information
3.2 Sample Description
3.2.1 Description of included observations
3.2.2 Description of included SWFs
4 Characteristics of SWF Targets
4.1 Identifying Matched Peers
4.2 Analysis of Target Characteristics
4.2.1 Comparison of targets with matched peers
4.2.2 The ex-post probability of getting targeted by SWFs
4.2.3 Target characteristics of large versus small-scale investments
5 Stock Market Reactions
6 Conclusion
This thesis investigates the investment priorities of Sovereign Wealth Funds (SWFs) by examining whether specific company characteristics influence the ex-post probability of a firm becoming a target for SWF investment. The research aims to identify these determinants using a matched peer group approach and logistic panel regression models, while also providing initial insights into the stock market reaction to announced SWF investments.
4.2.1 Comparison of targets with matched peers
The first approach is to identify systematic differences between the targets and their matched peers. To achieve this, table 8 reports the difference of the mean values in column (4). It is negative, if the mean of the targets is smaller than the mean of the peer group. Further, t-statistics for the difference of the means, and the Wilcoxon signed rank statistics for the median difference is reported in column (5) to (9), together with the respective level of the statistical significance. The labeling of ***, ** and * indicate the significance at the 1%, 5% and 10% levels. The Wilcoxon statistic serves as a robustness check, since it is less influenced by extreme values and some variables display skewness or fat tails. Finally, the last five columns display the quintile distribution of targets within the matched sample.
1 Introduction: Provides an overview of SWFs as globally significant financial players and outlines the thesis’s objective to identify target company characteristics.
2 Introducing Sovereign Wealth Funds: Discusses the history, growth, and definition of SWFs, while reviewing the existing scientific debate regarding their political influence and transparency.
3 Data and Sample Overview: Describes the construction of the transaction database, the selection criteria used, and the methodology for matching transactions with financial data.
4 Characteristics of SWF Targets: Analyzes the systematic differences between SWF targets and matched peers, and performs logistic regressions to determine the influence of company characteristics on targeting probability.
5 Stock Market Reactions: Presents an event study investigating the immediate impact of SWF investment announcements on stock prices in the US and UK markets.
6 Conclusion: Summarizes the key findings, including the high influence of firm size on target selection, and suggests avenues for future research.
Sovereign Wealth Funds, SWF, Financial Markets, Investment Determinants, Logistic Panel Regression, Target Characteristics, Firm Size, Market Capitalization, Event Study, Abnormal Returns, Financial Transparency, Governance Issues, Equity Investments, Strategic Investments, Capital Markets
The research focuses on identifying company characteristics that make a firm more likely to become a target for Sovereign Wealth Fund (SWF) investments.
Central themes include the role of SWFs in global capital markets, the drivers of SWF investment behavior, company-specific determinants of targeting, and the resulting stock market reactions to these investments.
The work seeks to answer whether there are specific firm-level characteristics that SWFs prefer and that influence the ex-post probability of a company being targeted.
The study utilizes a matched peer group approach for comparison, combined with logistic panel regression models and an event study methodology to analyze stock market reactions.
The main section covers the identification of matched peer groups, analysis of target characteristics through statistical testing, logistic regression on targeting probability, and an evaluation of large-scale versus small-scale investments.
Key terms include Sovereign Wealth Funds, investment determinants, firm size, matched peer analysis, and event studies regarding abnormal stock returns.
These models are used to identify the impact of independent variables (like size and cash) on the likelihood of a company becoming an SWF target, while allowing for adjustments through target country fixed effects.
Size is identified as the most significant determinant; larger companies are consistently more likely to be targeted by SWFs across all models tested.
The analysis indicates that there are no observable systematic differences in the characteristics of companies targeted for large-scale versus small-scale investments within the examined sample.
The event study reveals that SWF investment announcements are associated with positive abnormal returns of approximately one percent within a three-day event window.
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