The Riskmetrics 2006 Methodology
By Gilles O. Zumbach. 2007
78 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Finance, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/6eb8c7ee12127670be56d1d4a80acd973d3feec4
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Michael Wolf
- Olivier Ledoit
- Nikolaus Hautsch
- Valeri Voev
- Peter Malec
- Lada M. Kyj
- Roxana Chiriac
- Robert F. Engle
In Finance
- Michael Wolf
- Olivier Ledoit
- Nikolaus Hautsch
- Lada M. Kyj
- Peter Malec
- Valeri Voev
- Roxana Chiriac
- Robert F. Engle
In Global and Planetary Change
- Lada M. Kyj
- Roxana Chiriac
- Valeri Voev
- Michael Wolf
- Robert F. Engle
- Nikolaus Hautsch
- Olivier Ledoit
- Peter Malec
Citations in the corpus
- Large Dynamic Covariance Matrices (2019, methodology): “RM-2006: The RiskMetrics 2006 methodology detailed by Zumbach (2007) and implemented in Kevin Sheppard’s Matlab routine riskmetrics2006.”
- Do High-Frequency Data Improve High-Dimensional Portfolio Allocations? (2013, methodology): “For implementation details, we refer to Appendix C.”
- Modelling and Forecasting Multivariate Realized Volatility (2011, background): “…the sample mean of Xt which leaves only three parameters for estimation in the second step.3 To 2 Interestingly, in the new RiskMetrics methodology, Zumbach (2007) finds strong empirical support for long memory type of autocorrelation decay of financial volatility, and concludes that ‘one decay…”
- The Power of (Non-)Linear Shrinking: A Review and Guide to Covariance Matrix Estimation (2020, unknown): “…portfolio selection; in practice, we proposed the use of the DCC-NL estimator 13 We also included the (second-generation) RiskMetrics 2006 model in the study, which also esti- mates time-varying covariance matrices and is computationally feasible for dimensions up to N¼ 1000; see Zumbach (2007).”