ScholarGate
المساعد

قارن الطرق

راجع الطرق التي اخترتها جنبًا إلى جنب؛ الصفوف المختلفة مميَّزة.

اختبار جوهانسون للتكامل المشترك ونموذج تصحيح الخطأ المتجهي×نماذج الذاكرة الطويلة (ARFIMA, FIGARCH)×
المجالالتمويلالتمويل
العائلةRegression modelRegression model
سنة النشأة19911980
صاحب الطريقةSøren JohansenGranger & Joyeux (ARFIMA); Baillie, Bollerslev & Mikkelsen (FIGARCH)
النوعMultivariate cointegration / vector error correction modelFractionally integrated time series model
المصدر التأسيسيJohansen, S. (1991). Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models. Econometrica, 59(6), 1551-1580. DOI ↗Granger, C. W. J. & Joyeux, R. (1980). An Introduction to Long-Memory Time Series Models and Fractional Differencing. Journal of Time Series Analysis, 1(1), 15-29. DOI ↗
الأسماء البديلةJohansen test, VECM, vector error correction model, multivariate cointegrationARFIMA, FIGARCH, fractionally integrated models, fractional integration
ذات صلة34
الملخصThe Johansen procedure is a multivariate cointegration framework, introduced by Søren Johansen in 1991, that tests for long-run equilibrium relationships among several I(1) time series. It determines how many cointegrating vectors link the series and then builds a Vector Error Correction Model (VECM) to describe the short-run dynamics around that equilibrium.Long-memory models are fractional-integration methods that capture genuine long memory through a hyperbolically decaying autocorrelation structure. ARFIMA, introduced by Granger and Joyeux (1980), models long memory in return series, while FIGARCH, introduced by Baillie, Bollerslev and Mikkelsen (1996), captures long memory in volatility series; the parameter d measures the degree of fractional integration.
ScholarGateمجموعة البيانات
  1. v1
  2. 2 المصادر
  3. PUBLISHED
  1. v1
  2. 2 المصادر
  3. PUBLISHED

انتقل إلى البحث تنزيل الشرائح

ScholarGateقارن الطرق: Johansen Cointegration Test · Long-Memory Models. استُرجع بتاريخ 2026-06-19 من https://scholargate.app/ar/compare