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Many previous analyses of inflation have used either long memory or nonlinear time series models. This paper suggests a … simple adaptive modification of the basic ARFIMA model, which uses a flexible Fourier form to allow for a time varying … also that the new model can be efficiently estimated by a QMLE approach. We investigate monthly CPI inflation series for …
Persistent link: https://www.econbiz.de/10010588218
Persistent link: https://www.econbiz.de/10009673677
Persistent link: https://www.econbiz.de/10011642242
In this research paper ARCH-type models are applied in order to estimate the Value-at-Risk (VaR) of an inflation …-index futures portfolio for several time-horizons. The empirical analysis is carried out for Mexican inflation-indexed futures … time horizons. These results have implications for short-term inflation forecasts. By estimating confidence intervals in …
Persistent link: https://www.econbiz.de/10010322620
Time series subject to parameter shifts of random magnitude and timing are commonly modeled with a change-point approach using Chib's (1998) algorithm to draw the break dates. We outline some advantages of an alternative approach in which breaks come through mixture distributions in state...
Persistent link: https://www.econbiz.de/10010320792
well as negative correlation between the count variables, is utilized. Inflation techniques are used to account for …
Persistent link: https://www.econbiz.de/10005651973
economic activity and inflation in Turkey during the 1991:7-2004:3 periods. In order to analyze these relationships, we have … stability tests. Besides, we have found out that the relationships between spread-real economic activity and spread-inflation …
Persistent link: https://www.econbiz.de/10008836761
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 …
Persistent link: https://www.econbiz.de/10012915167
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 …
Persistent link: https://www.econbiz.de/10012915171
In this paper, we explore machine learning (ML) methods to improve inflation forecasting in Brazil. An extensive out … identify the key variables to predict inflation, thus helping to open the ML black box. Despite the evidence of no universal … of mean-squared error. Moreover, the results indicate the existence of nonlinearities in the inflation dynamics, which …
Persistent link: https://www.econbiz.de/10014382916