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Rotermann, Benedikt: Econometric estimation and theoretical modeling of rational stock-market bubbles. 2014
Inhalt
Introduction
Literature overview
Theoretical bubble models
Present-value model and rational bubbles
Empirical evidence on bubbles
Estimation of periodically collapsing bubbles
Introduction
Model specification
State-space estimation
Particle filter
Particle smoother
Parameter estimation
Parameter estimation by maximum likelihood
Maximum likelihood estimation via the EM algorithm
EM algorithm
Standard errors
Empirical application
Nonlinear state-space representation
Artificial data
Estimation results
Goodness-of-fit and model diagnostics
Real-world data
Estimation results of the real-world data set
Model critique
Conclusion
Figures
Tables
Periodically collapsing Evans bubbles and stock-price volatility
Introduction
Conditional stock-price volatility
Bubble and stock-price volatility
Theoretical results
Empirical application
Conclusion
Figures
Tables
Periodic and stochastically deflating rational bubbles
Introduction
Alternative specifications of rational bubbles
Previous rational bubble models
A new model for rational bubbles
Estimating periodic, stochastically deflating bubbles via particle-filter methods
Nonlinear state-space representation
Artificial data
Estimation results
Real-world data
Estimation results
Model diagnostics
Volatility analysis
Conditional stock-price volatility
Volatility dynamics
Conclusion
Figures
Tables
Summary and outlook
References
Appendix
Programming codes for Chapter 3
Programming codes for Chapter 4
Programming codes for Chapter 5