Causality and forecasting in temporally aggregated multivariate GARCH processes
From MaRDI portal
Publication:3566442
DOI10.1111/j.1368-423X.2008.00276.xzbMath1190.62170MaRDI QIDQ3566442
Publication date: 8 June 2010
Published in: Econometrics Journal (Search for Journal in Brave)
Inference from stochastic processes and prediction (62M20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to actuarial sciences and financial mathematics (62P05)
Related Items
Cites Work
- Temporal aggregation of multivariate GARCH processes
- Closing the GARCH gap: Continuous time GARCH modeling
- Marginalization and contemporaneous aggregation in multivariate GARCH processes
- A causality-in-variance test and its application to financial market prices
- Temporal aggregation of volatility models
- ARCH models as diffusion approximations
- Second-Order Noncausality in Multivariate GARCH Processes
- Temporal Aggregation of Garch Processes
- Measures of Conditional Linear Dependence and Feedback Between Time Series
- Temporal aggregation and spurious instantaneous causality in multiple time series models
- Measurement of Linear Dependence and Feedback Between Multiple Time Series
- Testing Causality Between Two Vectors in Multivariate Autoregressive Moving Average Models
- Short Run and Long Run Causality in Time Series: Theory
- Modeling and Forecasting Realized Volatility