This paper proposes a sequential Monte Carlo method for estimating GARCH models subject to an unknown number of structural breaks. We use particle filtering techniques that allow for fast and efficient updates of posterior quantities and forecasts in real-time. The method conveniently deals with...

We provide a general methodology for forecasting in the presence of structural breaks induced by unpredictable changes to model parameters. Bayesian methods of learning and model comparison are used to derive a predictive density that takes into account the possibility that a break will occur...

We evaluate how deviations from normality may affect the allocation of assets. A Taylor expansion of expected utility allows us to focus on certain moments and to compute numerically the optimal portfolio allocation. A decisive advantage of our approach is that it remains operational even if a...

This paper presents a Bayesian assessment of the likelihood of unit roots in the unemployment rates of 16 OECD countries. Bayesian techniques for detecting multiple structural breaks in time series have recently been developed by Wang and Zivot (2000). I apply these tests to a data set recently...

This paper discusses inference in self exciting threshold autoregressive (SETAR) models. Of main interest is inference for the threshold parameter. It is well-known that the asymptotics of the corresponding estimator depend upon whether the SETAR model is continuous or not. In the continuous...

Condence intervals in econometric time series regressions suffer from notorious coverage problems. This is especially true when the dependence in the data is noticeable and sample sizes are small to moderate, as is often the case in empirical studies. This paper suggests using the studentized...

The purpose of this paper is to offer an analysis of the behaviour of the money demand, inflation and their determinants, with a focus on the short-term impact of external shocks. Taking into account the weak structure of the Romanian economy (Dobrescu, 1997) the authors confined the study to...

The goal of this paper is to highlight the technical aspects of an attempt to construct a quarterly equation of household’s consumption as part of modelling the expenditure side of the GDP. Quarterly data on households’ consumption are available both in nominal and real terms for the 1994...

The paper attempts to estimate the monthly components of the nominal GDP in order to obtain the monthly nominal GDP for the Romanian economy. All the quarterly time series are available at current prices since 1994 to 2001. The method is a deterministic algorithm that computes unobserved monthly...

This paper develops and estimates a continuous-time model of a financial market where investors' trading strategies and the specialist's rule of price adjustments are the best response to each other. We examine how far modeling market microstructure in a purely rational framework can go in...