Results 51 to 60 of about 25,094 (140)
ABSTRACT In this paper, we investigate alternative one‐factor and two‐factor continuous‐time models with both affine and non‐affine variance dynamics for the Chinese options market. Through extensive empirical analysis of the option panel fit and diagnostics, we find that it is necessary to include both the non‐affine feature and the multi‐factor ...
Yifan Ye, Zheqi Fan, Xinfeng Ruan
wiley +1 more source
AUTOREGRESSIVE CONDITIONAL HETEROSKEDASTICY UNDER ERROR-TERM NON-NORMALITY [PDF]
This paper explores the impact of error-term non-normality on the performance of the normal-error Generalized Autoregressive Conditional Heteroskedastic (GARCH) model under small and moderate sample sizes.
Ramirez, Octavio A.
core +1 more source
ABSTRACT This paper aims to study the dynamic risk connection between the Climate Policy Uncertainty Index (CPU) of the United States and the grain commodity market. Our findings denote that (a) quantile spillover is stronger at extreme than median levels, underscoring the value of systematic risk spillovers in extreme market conditions.
Hongjun Zeng+3 more
wiley +1 more source
A General Framework for Observation Driven Time-Varying Parameter Models [PDF]
We propose a new class of observation driven time series models that we refer to as Generalized Autoregressive Score (GAS) models. The driving mechanism of the GAS model is the scaled likelihood score. This provides a unified and consistent framework for
Andre Lucas+2 more
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ABSTRACT The article explored the effects of economic policy uncertainty (EPU) on firm stability in Nigeria. The article makes three contributions to the literature. First, the article examined the impact of global EPU on firm stability. Second, it examined the effects of domestic EPU on firm stability, given the vulnerable nature of the Nigerian ...
Olajide O. Oyadeyi
wiley +1 more source
Dynamic Spatial Autoregressive Models with Autoregressive and Heteroskedastic Disturbances
We propose a new class of models specifically tailored for spatio-temporal data analysis. To this end, we generalize the spatial autoregressive model with autoregressive and heteroskedastic disturbances, i.e.
An+48 more
core +1 more source
Abstract We address the issue of testing for threshold nonlinearity in the conditional mean in the presence of conditional heteroskedasticity. We propose a supremum Lagrange multiplier approach to test a linear ARMA‐GARCH model versus a TARMA‐GARCH model.
Francesco Angelini+3 more
wiley +1 more source
Modelling and forecasting exchange-rate volatility with ARCH-type models [PDF]
The statistical analysis of short-run exchange-rate data shows that there is strong heteroskedasticity and serial dependence of volatility. In addition, the empirical distributions are leptokurtic.
Kaehler, Jürgen
core
Target zones and conditional volatility: the role of realignments [PDF]
This paper examines the relationship between the conditional volatility of target zone exchange rates and realignments of the system. To investigate this question, modified jump diffusion Generalized Autoregressive Conditional Heteroskedasticity (GARCH ...
Christopher J. Neely
core
Introduction to prediction in classical time series models (in Russian) [PDF]
This essay discusses basic notions of time series prediction and states traditional approaches to prediction in classical Box-Jenkins models, vector autoregressions, and autoregressive models with conditional heteroskedasticity.
Alexander Tsyplakov
core