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非線形ARCHモデル (NARCH)×GARCHモデル(ボラティリティ予測)×
分野計量経済学計量経済学
系統Regression modelRegression model
提唱年19921986
提唱者Higgins & BeraTim Bollerslev
種類Volatility modelConditional volatility model
原典Higgins, M. L., & Bera, A. K. (1992). A class of nonlinear ARCH models. International Economic Review, 33(1), 137-158. DOI ↗Bollerslev, T. (1986). Generalized Autoregressive Conditional Heteroskedasticity. Journal of Econometrics, 31(3), 307–327. DOI ↗
別名NARCH, Nonlinear ARCH, nonlinear conditional heteroscedasticity model, NARCH modelGARCH, GARCH(1,1), conditional volatility model, GARCH Modeli (Oynaklık Tahmini)
関連45
概要The Nonlinear ARCH (NARCH) model, introduced by Higgins and Bera (1992), extends Engle's original ARCH framework by allowing the power transformation of volatility to be estimated from the data rather than fixed at two. This flexibility captures a broader class of volatility dynamics observed in financial and macroeconomic time series.The Generalized Autoregressive Conditional Heteroskedasticity (GARCH) model, introduced by Tim Bollerslev in 1986, models the time-varying conditional variance of a financial time series. It captures volatility clustering and the ARCH effect, and is the standard tool for estimating risk and volatility in return series.
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ScholarGate手法を比較: Nonlinear ARCH model · GARCH Model. 2026-06-17に以下より取得 https://scholargate.app/ja/compare