This paper evaluates inflation forecasts made by Norges Bank which is a successful forecast targeting central bank. It is expected that Norges Bank produces inflation forecasts that are on average better than other forecasts, both "naive" forecasts, and forecasts from econometric models outside...

This paper discusses the significance of Central Bank of Nigeria's (CBN) monetary aggregates in the implementation of monetary policy. The Analytical Balance Sheet and monetary survey are shown to be useful tools in the analysis of monetary and credit developments in the economy. It also...

This paper utilizes a modified structural VAR (SVAR-X) model to analyse the process of monetary policy reaction function in turbulent period compared to the period of tranquillity. The study finds that it is crucial to distinguish between the response of monetary policy to output growth and...

The subject of this paper is the evaluation of monetary policy reaction function on panel data of 37 world economies, both advanced and emerging markets, during the period of 1995Q1 - 2018Q3. The paper aims to evaluate the role and importance of the exchange rate in monetary policy reaction...

Dynamic factor models (DFMs), which assume the existence of a small number of unobserved underlying factors common to a large number of variables, are very popular among empirical macroeconomists. Factors can be extracted using either nonparametric principal components or parametric Kalman...

This study aims to estimate a dynamic fiscal reaction function in a state-space setting to obtain time-varying reaction parameters for appraising the evolution of public debt sustainability in Turkey. The data set used for estimation is the longest for Turkey in the literature. Succinctly...

The study aimed at determining a set of superior generalized orthogonal-GARCH (GO-GARCH) models for forecasting time-varying conditional correlations and variances of five foreign exchange rates vis-à-vis the Nigerian Naira. Daily data covering the period 02/01/2009 to 19/03/2015 was used, and...

We test and report on time series modelling and forecasting using several US. Leading economic indicators (LEI) as an input to forecasting real US. GDP and the unemployment rate. These time series have been addressed before, but our results are more statistically significant using more recently...

We propose a methodology to include night volatility estimates in the day volatility modeling problem with high-frequency data in a realized generalized autoregressive conditional heteroskedasticity (GARCH) framework, which takes advantage of the natural relationship between the realized measure...