Academic literature on foreign exchange market intervention in emerging market countries has grown in recent years. Until now, existing studies have ignored the possible feature of time varying motives and impact effects for/of interventions as well as the relationship to underlying economic and...

Controllability of longer-term interest rates requires that the persistence of their deviations from the central bank's policy rate (i.e. the policy spreads) remains sufficiently low. This paper applies fractional integration techniques to assess the persistence of policy spreads of euro area...

We investigate whether foreign exchange intervention volume matters for the exchange rate effects of intervention. Our investigation employs daily data on Japanese interventions from April 1991 to April 2012 and time-series estimations, non-temporal threshold analysis, as well as binary choice...

In this study, the analysis was that the capacity of creating inflation depends on oil prices as the one of energy types that is a major input of aggregate output which becomes a source of economic growth with increasing in costs. The aggregate output is also a function of energy that is the one...

The inference for hidden Markov chain models in which the structure is a multiple-equation macroeconomic model raises a number of difficulties that are not as likely to appear in smaller models. One is likely to want to allow for many states in the Markov chain without allowing the number of...

The econometrics literature contains a variety of two-sided tests for unknown breakpoints in time-series models with one or more parameters. This paper derives an analogous one-sided test that takes into account the direction of the change for a single parameter. In particular, we propose a sup...

In this paper we evaluate the empirical relevance of learning by private agents in an estimated medium–scale DSGE model. We replace the standard rational expectation assumption in the Smets and Wouters (2007) model by a constant gain learning mechanism. If agents know the correct structure of...

The inference for hidden Markov chain models in which the structure is a multiple-equation macroeconomic model raises a number of difficulties that are not as likely to appear in smaller models. One is likely to want to allow for many states in the Markov chain without allowing the number of...

This paper investigates how the ordering of variables affects properties of the time-varying covariance matrix in the Cholesky multivariate stochastic volatility model. It establishes that estimated covariance matrices, obtained under alternative orderings of variables, are systemically...

This paper investigates how the ordering of variables affects properties of the time-varying covariance matrix in the Cholesky multivariate stochastic volatility model. It establishes that systematically different dynamic restrictions are imposed when the ratio of volatilities is time-varying....