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Aegmuutuvate parameetritega DCC-GARCH mudel

TVP-DCC-GARCH mudel laiendab dünaamiliste tingimuslike korrelatsioonide GARCH raamistikku, võimaldades mitte ainult paariskorrelatsioonidel, vaid ka alusmudeli parameetritel pidevalt ajas muutuda. See haarab kinni volatiilsuse dünaamika ja varadevahelise sõltuvuse struktuurilised nihked, muutes selle finantsriskide modelleerimisel mittestatsionaarsetes keskkondades oluliseks.

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Allikad

  1. Engle, R. (2002). Dynamic conditional correlation: A simple class of multivariate generalized autoregressive conditional heteroskedasticity models. Journal of Business and Economic Statistics, 20(3), 339-350. DOI: 10.1198/073500102288618487
  2. Christoffersen, P., Errunza, V., Jacobs, K., & Langlois, H. (2012). Is the potential for international diversification disappearing? A dynamic copula approach. Review of Financial Studies, 25(12), 3711-3751. DOI: 10.1093/rfs/hhs104

Kuidas sellele lehele viidata

ScholarGate. (2026, June 3). Time-Varying Parameter Dynamic Conditional Correlation GARCH Model. ScholarGate. https://scholargate.app/et/econometrics/time-varying-parameter-dcc-garch-model

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ScholarGateTime-varying parameter DCC-GARCH model (Time-Varying Parameter Dynamic Conditional Correlation GARCH Model). Loetud 2026-06-15 aadressilt https://scholargate.app/et/econometrics/time-varying-parameter-dcc-garch-model · Andmestik: https://doi.org/10.5281/zenodo.20539026