Arbeitspapier

Stationarity and Ergodicity Regions for Score Driven Dynamic Correlation Models

We describe stationarity and ergodicity (SE) regions for a recently proposed class of score driven dynamic correlation models. These models have important applications in empirical work. The regions are derived from sufficiency conditions in Bougerol (1993) and take a non-standard form. We show that the non-standard shape of the sufficiency regions cannot be avoided by reparameterizing the model or by rescaling the score steps in the transition equation for the correlation parameter. This makes the result markedly different from the volatility case. Observationally equivalent decompositions of the stochastic recurrence equation yield regions with different sizes and shapes. We illustrate our results with an analysis of time-varying correlations between UK and Greek equity indices. We find that also in empirical applications different decompositions can give rise to different conclusions regarding the stability of the estimated model.

Language
Englisch

Bibliographic citation
Series: Tinbergen Institute Discussion Paper ; No. 13-097/IV/DSF59

Classification
Wirtschaft
Single Equation Models; Single Variables: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
Financial Econometrics
Subject
dynamic copulas
generalized autoregressive score (GAS) models
stochastic recurrence equations
observation driven models
contraction properties
Zeitreihenanalyse
Stochastischer Prozess
Volatilität
Theorie

Event
Geistige Schöpfung
(who)
Blasques, Francisco
Lucas, Andre
Silde, Erkki
Event
Veröffentlichung
(who)
Tinbergen Institute
(where)
Amsterdam and Rotterdam
(when)
2013

Handle
Last update
10.03.2025, 11:43 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Blasques, Francisco
  • Lucas, Andre
  • Silde, Erkki
  • Tinbergen Institute

Time of origin

  • 2013

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