Este documento reporta los resultados de la estimación de una versión reciente del modelo P-estrella de Gerlach y Svensson (2003) para Colombia (1980: I - 2005: IV) y sus predicciones. El modelo está diseñado para explicar la brecha de inflación (tasa observada menos la meta) con base en...

Este documento reporta los resultados de la estimaci´on de una versi´on reciente del modelo P-estrella de Gerlach y Svensson (2003) para Colombia (1980:I - 2005:IV) y sus predicciones. El modelo está diseñado para explicar la brecha de inflaci´on (tasa observada menos la meta) con base en...

Several approaches for subset recovery and improved forecasting accuracy have been proposed and studied. One way is to apply a regularization strategy and solve the model selection task as a continuous optimization problem. One of the most popular approaches in this research field is given by...

We propose a noncausal autoregressive model with time-varying parameters, and apply it to U.S. postwar inflation. The model .fits the data well, and the results suggest that inflation persistence follows from future expectations. Persistence has declined in the early 1980.s and slightly...

The GARCH(1,1) model and its extensions have become a standard econometric tool for modeling volatility dynamics of financial returns and port-folio risk. In this paper, we propose an adjustment of GARCH implied conditional value-at-risk and expected shortfall forecasts that exploits the...

Dieser Beitrag dokumentiert den Aufbau des Mikrosimulationsmodells EITDsim. EITDsim kann zur empirischen (ex ante) Evaluation von steuer- und finanzpolitischen Fragestellungen, insbesondere von (potentiellen) Steuerreformen, verwendet werden. Dafür kombiniert EITDsim auf Basis des erweiterten...

Using unobservable conditional variance as measure, latent-variable approaches, such as GARCH and stochastic-volatility models, have traditionally been dominating the empirical finance literature. In recent years, with the availability of high-frequency financial market data modeling realized...

Non-financial risk factors play a fundamental role in supporting the competitive position of companies in many of today's industries. Though, assessing these ambiguous factors in a valuation based on a Monte-Carlo simulation is particularly difficult. This paper presents how the fuzzy-set theory...

This study focuses on the question whether nonlinear transformation of lagged time series values and residuals are able to systematically improve the average forecasting performance of simple Autoregressive models. Furthermore it investigates the potential superior forecasting results of a...

Structural change affects the estimation of economic signals, like the underlying growth rate or the seasonally adjusted series. An important issue, which has attracted a great deal of attention also in the seasonal adjustment literature, is its detection by an expert procedure. The general to...