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초록
영어
We develop a log-linear structural VAR model to decompose unexpected excess market returns into permanent and temporary cash-flow news, discount-rate news, and nonfundamental news. We make some important findings. First, contrary to recent evidence for the United States, we find that discount-rate news plays a more important role than cash-flow news in global stock markets. Second, non-fundamental factor (i.e., investor sentiment) also plays a role in developed regional stock markets outside the United States. Finally, risk premiums are significantly higher in a down market than in an up market.
목차
ABSTRACT
1. Introduction
2. Literature and financial practices
2.1 Literature review
2.2 Financial practices
3. Data
4. Methodology
4.1 Return decomposition using log-linear VAR
4.2 Return decomposition using log-linear SVAR
4.3 Empirical models for tests
5. Empirical evidence
5.1 Variance decomposition
5.2 Conditional relation between market beta and returns
5.3 Correlations between various types of news
5.4 Conditional relation between decomposed betas and returns
6. Conclusions
References
1. Introduction
2. Literature and financial practices
2.1 Literature review
2.2 Financial practices
3. Data
4. Methodology
4.1 Return decomposition using log-linear VAR
4.2 Return decomposition using log-linear SVAR
4.3 Empirical models for tests
5. Empirical evidence
5.1 Variance decomposition
5.2 Conditional relation between market beta and returns
5.3 Correlations between various types of news
5.4 Conditional relation between decomposed betas and returns
6. Conclusions
References
저자정보
참고문헌
자료제공 : 네이버학술정보