Overlaying Time Scales and Persistence Estimation of Financial Volatility Data
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- Type
- article
- Published
- 2002-01-01
- Cited by
- 0
- References
- 34
- OpenAlex
- https://openalex.org/W51868547
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:14288593
Keywords
Mean reversion, Volatility (finance), Econometrics, Autoregressive conditional heteroskedasticity, Economics
References
- Stock Returns and Volatility
- Derivatives in Financial Markets with Stochastic Volatility
- ARCH modeling in finance: A review of the theory and empirical evidence
- Fractionally integrated generalized autoregressive conditional heteroskedasticity
- Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation
- ARCH models as diffusion approximations
- A CONDITIONALLY HETEROSKEDASTIC TIME SERIES MODEL FOR SPECULATIVE PRICES AND RATES OF RETURN
- Conditional Heteroskedasticity Driven by Hidden Markov Chains
- Modelling the persistence of conditional variances
- Asymptotic Theory for ARCH Models: Estimation and Testing
- Detection of abrupt changes: theory and application
- Modeling The persistence Of Conditional Variances: A Comment
- Persistence in Variance, Structural Change, and the GARCH Model
- Quasi-maximum likelihood estimation and inference in dynamic models with time-varying covariances
- Estimating Regression Models with Multiplicative Heteroscedasticity
- Modeling volatility persistence of speculative returns: A new approach
- Stationarity and Persistence in the GARCH(1,1) Model
- Consistency and Asymptotic Normality of the Quasi-maximum Likelihood Estimator in IGARCH(1,1) and Covariance Stationary GARCH(1,1) Models
- What good is a volatility model?
- COMMON PERSISTENCE IN CONDITIONAL VARIANCES
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