Dergiler / Alanya Akademik Bakış / 2026 / Cilt: 5 Sayı: 2

Engle-Granger Cointegration Analysis Between Garch-Type Volatilities of Gold and Silver Returns

Yakup Arı(ALANYA ALAADDİN KEYKUBAT ÜNİVERSİTESİ)0000-0002-5666-5365
Sayfa
589–618
Yayın Tarihi
2021-05-31
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

It is concluded that the volatilities of silver and gold returns are cointegrated and the deviation from long-run equilibrium is rebalanced within 20 days.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:The aim of this study is to reveal the cointegration relationship between the volatility of silver and gold returns.
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Temel Bulgular & Veri:The volatility data of the returns are obtained from 10 different GARCH-type models and using 8 different probability distributions in these models.
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Sonuç & Katkı:It is concluded that the volatilities of silver and gold returns are cointegrated and the deviation from long-run equilibrium is rebalanced within 20 days.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:GARCH-type Volatility · Engle-Granger Cointegration · ECM

Özet

The aim of this study is to reveal the cointegration relationship between the volatility of silver and gold returns. For this purpose, the volatility of silver and gold returns is modeled with GARCH-type models. The volatility data of the returns are obtained from 10 different GARCH-type models and using 8 different probability distributions in these models. The most adequate fit models for the volatility of silver and gold returns are found as ALLGARCH (1,1) and AVGARCH (1,1), respectively, where innovations are normal inverse Gaussian distributed. Volatility data are obtained from these models and it is determined that they are not stationary at the level. Therefore, the long-run and short-run relationships between the two volatilities are tested by the two-step Engle-Granger Cointegration method. Furthermore, the volatility spillover from silver returns to gold returns is shown by using the squared standardized residuals of the volatility model of silver returns as an exogenous variable in the nig-AVGARCH (1,1) volatility model of gold returns. It is concluded that the volatilities of silver and gold returns are cointegrated and the deviation from long-run equilibrium is rebalanced within 20 days.

Abstract

The aim of this study is to reveal the cointegration relationship between the volatility of silver and gold returns. For this purpose, the volatility of silver and gold returns is modeled with GARCH-type models. The volatility data of the returns are obtained from 10 different GARCH-type models and using 8 different probability distributions in these models. The most adequate fit models for the volatility of silver and gold returns are found as ALLGARCH (1,1) and AVGARCH (1,1), respectively, where innovations are normal inverse Gaussian distributed. Volatility data are obtained from these models and it is determined that they are not stationary at the level. Therefore, the long-run and short-run relationships between the two volatilities are tested by the two-step Engle-Granger Cointegration method. Furthermore, the volatility spillover from silver returns to gold returns is shown by using the squared standardized residuals of the volatility model of silver returns as an exogenous variable in the nig-AVGARCH (1,1) volatility model of gold returns. It is concluded that the volatilities of silver and gold returns are cointegrated and the deviation from long-run equilibrium is rebalanced within 20 days.

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Bu Makaleye Atıf Yap

Arı, Y. (2021). Engle-Granger Cointegration Analysis Between Garch-Type Volatilities of Gold and Silver Returns. Alanya Akademik Bakış, Cilt: 5 Sayı: 2, 589–618. https://ajindex.com/articles/1360049

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Kaynakça (2)

  1. Bollerslev, T. P. (1986).Generalized autoregressive conditional heteroscedasticity, Journal of Econometrics, 31, pp. 307-327.
  2. Engle, R. F. (1982). Autoregressive Conditional Heteroskedasticity with Estimates of the Variance of United Kingdom Inflation. Econometrica, 50:4, pp. 987–1007