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Kielelezo cha DCC-GARCH chenye Vigezo Vinavyobadilika kwa Wakati

Kielelezo cha TVP-DCC-GARCH kinapanua mfumo wa Dynamic Conditional Correlation GARCH kwa kuruhusu si tu uwiano wa jozi bali pia vigezo vya msingi vya kielelezo kubadilika kwa wakati. Kinakamata mabadiliko ya kimuundo katika mienendo ya kutokuwa na uhakika na utegemezi wa kati ya mali, na kuifanya kuwa muhimu kwa uundaji wa hatari za kifedha katika mazingira yasiyo thabiti.

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Vyanzo

  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

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Time-Varying Parameter Dynamic Conditional Correlation GARCH Model. ScholarGate. https://scholargate.app/sw/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). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/econometrics/time-varying-parameter-dcc-garch-model · Seti ya data: https://doi.org/10.5281/zenodo.20539026