In this paper, we consider whether long-term inflation expectations have become better anchored in Brazil, Chile, and Mexico. We do so using survey-based measures as well as financial market-based measures of long-term inflation expectations, where we construct the market-based measures from...

In this paper, we consider whether long-term inflation expectations have become better anchored in Brazil, Chile, and Mexico. We do so using survey-based measures as well as financial market-based measures of long-term inflation expectations, where we construct the market-based measures from...

In this paper, we consider whether long-term inflation expectations have become better anchored in Brazil, Chile, and Mexico. We do so using survey-based measures as well as financial market-based measures of long-term inflation expectations, where we construct the market-based measures from...

We consider tests for sudden changes in the unconditional volatility of conditionally heteroskedastic time series based on cumulative sums of squares. When applied to the original series these tests suffer from severe size distortions, where the correct null hypothesis of no volatility change is...

We present a road map for effective application of Bayesian analysis of a class of well-known dynamic econometric models by means of the Gibbs sampling algorithm. Members belonging to this class are the Cochrane-Orcutt model for serial correlation, the Koyck distributed lag model, the Unit Root...

Several lessons learnt from a Bayesian analysis of basic macroeconomic time series models are presented for the situation where some model parameters have substantial posterior probability near the boundary of the parameter region. This feature refers to near-instability within dynamic models,...

The subject of measuring the performance of registries has been a topic of policy discussions in recent years on the regional level due to the recast of the European Union (EU) port state control (PSC) directive which introduces incentives for flags which perform better. Since the current method...

We forecast the term structure of U.S. Treasury zero-coupon bond yields by analyzing a range of models that have been used in the literature. We assess the relevance of parameter uncertainty by examining the added value of using Bayesian inference compared to frequentist estimation techniques,...

This paper investigates the merits of high-frequency intraday data when forming minimum variance portfolios and minimum tracking error portfolios with daily rebalancing from the individual constituents of the Samp;P 100 index. We focus on the issue of determining the optimal sampling frequency,...

We assess the relevance of parameter uncertainty, model uncertainty, and macroeconomic information for forecasting the term structure of interest rates. We study parameter uncertainty by comparing Bayesian inference with frequentist estimation techniques, and model uncertainty by combining...