ScholarGate
Pembantu

Bandingkan kaedah

Semak kaedah pilihan anda secara bersebelahan; baris yang berbeza akan diserlahkan.

Model DCC-GARCH Panel×Model Panel GARCH×
BidangEkonometrikEkonometrik
KeluargaRegression modelRegression model
Tahun asal20021986 (GARCH); panel extension 1990s–2000s
PengasasRobert F. EngleBollerslev (1986); extended to panel settings in subsequent literature
JenisMultivariate volatility modelVolatility model
Sumber perintisEngle, R. F. (2002). Dynamic conditional correlation: A simple class of multivariate generalized autoregressive conditional heteroscedasticity models. Journal of Business and Economic Statistics, 20(3), 339-350. DOI ↗Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics, 31(3), 307–327. DOI ↗
AliasDCC-GARCH panel, panel dynamic conditional correlation, multivariate DCC-GARCH, Panel DCCpanel GARCH, GARCH panel model, panel volatility model, panel conditional heteroscedasticity model
Berkaitan56
RingkasanThe Panel DCC-GARCH model extends Engle's (2002) Dynamic Conditional Correlation GARCH framework to panel data settings, jointly modelling time-varying volatility and cross-sectional correlations across multiple units (countries, firms, or assets) over time. It allows pairwise correlations to vary dynamically in response to market shocks while preserving parsimony via a two-step estimation.The Panel GARCH model extends Bollerslev's (1986) Generalized Autoregressive Conditional Heteroscedasticity framework to panel data, allowing conditional variance to evolve over time for each cross-sectional unit. It simultaneously captures unit-level heterogeneity and time-varying volatility clustering, making it the standard tool for modelling risk and uncertainty in multi-entity financial and macroeconomic panels.
ScholarGateSet data
  1. v1
  2. 2 Sumber
  3. PUBLISHED
  1. v1
  2. 2 Sumber
  3. PUBLISHED

Pergi ke carian Muat turun slaid

ScholarGateBandingkan kaedah: Panel DCC-GARCH · Panel GARCH model. Dicapai 2026-06-17 daripada https://scholargate.app/ms/compare