Showing 211 - 220 of 262
A wide variety of conditional and stochastic variance models has been used to estimate latent volatility (or risk). In both the conditional and stochastic volatility literature, there has been some confusion between the definitions of asymmetry and leverage. In this paper, we first show the...
Persistent link: https://www.econbiz.de/10008519563
The success of univariate stochastic volatility (SV) models in relation to univariate GARCH models has spurred an enormous interest in generalizations of SV models to a multivariate setting. A large number of multivariate SV (MSV) models are now available along with clearly articulated...
Persistent link: https://www.econbiz.de/10008519584
The paper develops two Dynamic Conditional Correlation (DCC) models, namely the Wishart DCC (WDCC) model and the Matrix-Exponential Conditional Correlation (MECC) model. The paper applies the WDCC approach to the exponential GARCH (EGARCH) and GJR models to propose asymmetric DCC models. We use...
Persistent link: https://www.econbiz.de/10008519717
It is well known that non-trading days (or holidays) can have significant effects on the returns in financial series. In this paper, we analyze three models of non-trading day effects in stochastic volatility models with leverage effects, namely (i) the approach based on the dummy variable in...
Persistent link: https://www.econbiz.de/10005138929
This paper examines two asymmetric stochastic volatility models used to describe the heavy tails and volatility dependencies found in most financial returns. The first is the autoregressive stochastic volatility model with Student's t-distribution (ARSV-t), and the second is the multifactor...
Persistent link: https://www.econbiz.de/10005152424
Most multivariate variance or volatility models suffer from a common problem, the “curse of dimensionality”. For this reason, most are fitted under strong parametric restrictions that reduce the interpretation and flexibility of the models. Recently, the literature has focused on...
Persistent link: https://www.econbiz.de/10009651876
Most multivariate variance or volatility models suffer from a common problem, the “curse of dimensionality”. For this reason, most are fitted under strong parametric restrictions that reduce the interpretation and flexibility of the models. Recently, the literature has focused on...
Persistent link: https://www.econbiz.de/10009652057
This letter reconsiders the empirical tests of the new Keynesian and new classical models performed by Ball, Mankiw, and Romer (Brookings Papers on Economic Activity, 1, 1988) and Akerlof, Rose and Yellen (Brookings Papers on Economic Activity, 1, 1988). The original tests confirm basically to...
Persistent link: https://www.econbiz.de/10009207903
The stochastic volatility model usually incorporates asymmetric effects by introducing the negative correlation between the innovations in returns and volatility. In this paper, we propose a new asymmetric stochastic volatility model, based on the leverage and size effects. The model is a...
Persistent link: https://www.econbiz.de/10009228495
In the class of stochastic volatility (SV) models, leverage effects are typically specified through the direct correlation between the innovations in both returns and volatility, resulting in the dynamic leverage (DL) model. Recently, two asymmetric SV models based on threshold effects have been...
Persistent link: https://www.econbiz.de/10009228500