Browsing by Subject "Stochastic volatility models"

Now showing 1 - 3 of 3

Open Access
The effect of inflation uncertainty on inflation: stochastic volatility in mean model within a dynamic framework
(Elsevier BV, 2009) Berument, Hakan; Yalcin, Y.; Yildirim J.
This paper investigates the effect of inflation uncertainty innovations on inflation over time by considering the monthly United States data for the time period 1976-2006. In order to investigate the effect of inflation uncertainty innovation on inflation, a Stochastic Volatility in Mean model (SVM) has been employed. SVM models are generally used to capture the innovation to inflation uncertainty, which cannot be achieved in the framework of popular deterministic ARCH type of models. Empirical evidence provided here suggests that innovations in inflation volatility increases inflation persistently. This evidence is robust across various definitions of inflation and different sub-periods. © 2009 Elsevier B.V. All rights reserved.
Open Access
The inflation and inflation uncertainty relationship for Turkey: a dynamic framework
(Springer, 2011) Berument, Hakan; Yalcin, Y.; Yildirim, J. O.
This article assesses the interaction between inflation and inflation uncertainty in a dynamic framework for Turkey by using monthly data for the time period 1984-2009. The bulk of previous studies investigating the link between inflation and inflation uncertainty employ Autoregressive Conditional Heteroskedasticity (ARCH)-type models, which consider inflation uncertainty as a predetermined function of innovations to inflation specification. The stochastic volatility in mean (SVM) models that we use allow for gathering innovations to inflation uncertainty and assess the effect of inflation volatility shocks on inflation over time. When we assess the interaction between inflation and its volatility, the empirical findings indicate that response of inflation to inflation volatility is positive and statistically significant. However, the response of inflation volatility to inflation is negative but not statistically significant.
Open Access
Inflation and inflation uncertainty: a dynamic framework
(Elsevier BV, 2012) Berument, Hakan; Yalcin, Y.; Yildirim J.
This paper aims to investigate the direct relationship between inflation and inflation uncertainty by employing a dynamic method for the monthly country-region-place United States data for the time period 1976-2007. While the bulk of previous studies has employed GARCH models in investigating the link between inflation and inflation uncertainty, in this study Stochastic Volatility in Mean models are used to capture the shocks to inflation uncertainty within a dynamic framework. These models allow researchers to assess the dynamic effects of innovations in inflation as well as inflation volatility on inflation and inflation volatility over time, by incorporating the unobserved volatility as an explanatory variable in the mean (inflation) equation. Empirical findings suggest that innovations in inflation volatility increases inflation. This evidence is robust across various definitions of inflation and different sub-periods. © 2012 Elsevier B.V. All rights reserved.