We show how the ARMA-Power GARCH model for the conditional mean and variance can be adapted to analyze times series data showing asymmetry. Dynamics is introduced in the location and the dispersion parameters of skewed location-scale distributions using the same type of structure found in the conditional mean and in the conditional variance in the ARMA-APARCH model. We also propose a general dy...

A fast method for estimating the parameters of a stable-APARCH not requiring likelihood or iteration is proposed. Several powerful tests for the (asymmetric) stable Paretian distribution with tail index 1 ă α ă 2 are used for assessing the appropriateness of the stable assumption as the innovations process in stable-GARCH-type models for daily stock returns. Overall, there is strong evidence ag...

Data finansial yang mengikuti deret waktu memiliki keragaman atau volatilitas setiap waktunya tidak konstan. Keadaan ini disebut sebagai heteroskedastisitas. Metode dapat menyelesaikan masalah tersebut adalah Autoregressive Conditional Heteroscedasticity (ARCH)/Generalized (GARCH). Namun, ARCH/GARCH mengatasi beberapa kasus seperti perbedaan dalam nilai leverage effect. Sehingga dilakukan pemod...

Seasonal production, weather abnormalities, and high perishability introduce a degree of volatility to potato prices. Price is said be asymmetric when positive negative shocks the same magnitude affect it in dissimilar way. GARCH symmetric model, cannot capture price volatility. EGARCH, APARCH, GJR-GARCH models are popularly used In this paper, an attempt made model weekly wholesale modal potat...

The aim of this paper is to analyze the long-term and short-term risk components in Chinese financial market and to compare them with those in mature financial markets. For this purpose a most recently proposed Semi-APARCH is applied to the Shanghai Index and the Shenzhen Index, and four financial indexes in mature markets. A few important empirical findings are achieved. Firstly, the current l...