# Dynamic Conditional Correlation

@article{Engle2002DynamicCC, title={Dynamic Conditional Correlation}, author={Robert F. Engle}, journal={Journal of Business \& Economic Statistics}, year={2002}, volume={20}, pages={339 - 350} }

Time varying correlations are often estimated with multivariate generalized autoregressive conditional heteroskedasticity (GARCH) models that are linear in squares and cross products of the data. A new class of multivariate models called dynamic conditional correlation models is proposed. These have the flexibility of univariate GARCH models coupled with parsimonious parametric models for the correlations. They are not linear but can often be estimated very simply with univariate or two-step…

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## References

SHOWING 1-10 OF 17 REFERENCES

### Modelling the Coherence in Short-run Nominal Exchange Rates: A Multivariate Generalized ARCH Model

- Economics, Mathematics
- 1990

A multivariate time series model with time varying conditional variances and covariances, but constant conditional correlations is proposed. In a multivariate regression framework, the model is…

### Modeling Asymmetric Comovements of Asset Returns

- Economics
- 1998

Existing time-varying covariance models usually impose strong restrictions on how past shocks affect the forecasted covariance matrix. In this article we compare the restrictions imposed by the four…

### Asset Pricing with a Factor Arch Covariance Structure: Empirical Estimates for Treasury Bills

- Economics
- 1988

Asset pricing relations are developed for a vector of assets with a time varying covariance structure. Assuming that the eigenvectors are constant but the eigenvalues changing, both the Capital Asset…

### Large Scale Conditional Covariance Matrix Modeling, Estimation and Testing

- Mathematics
- 2001

A new representation of the diagonal Vech model is given using the Hadamard product. Sufficient conditions on parameter matrices are provided to ensure the positive definiteness of covariance…

### A Capital Asset Pricing Model with Time-Varying Covariances

- EconomicsJournal of Political Economy
- 1988

The capital asset pricing model provides a theoretical structure for the pricing of assets with uncertain returns. The premium to induce risk-averse investors to bear risk is proportional to the…

### Multivariate Simultaneous Generalized ARCH

- MathematicsEconometric Theory
- 1995

This paper presents theoretical results on the formulation and estimation of multivariate generalized ARCH models within simultaneous equations systems. A new parameterization of the multivariate…