Monetary conditions index (MCI) has become an important indicator of monetary policy performance since its introduction by Bank of Canada in the 1990s. This is so, as the index allows central banks to gauge monetary policy stance and effectiveness. This paper builds an MCI for the seven (7)...

This paper investigates the dynamic interactions of the cross-section distribution of sectoral price changes and the output growth in the Chinese economy. We compare in depth the results of Granger causality tests, Impulse Response, and Forecast Error Variance Decompositions from Mixed Sampling...

The essence of this study is to examine the impact of macroeconomic variables and some salient socio-economic and political variables on the manufacturing sub-sector of the Nigerian economy by using the autoregressive distributed lag to analyze data source from 1986 to 2019 within the context of...

We develop a structural vector autoregressive framework that combines external instruments and heteroskedasticity for identification of monetary policy shocks. We show that exploiting both types of information sharpens structural inference, allows testing the relevance and exogeneity condition...

This paper aims to investigate the interaction between monetary and fiscal policies in Turkey. For this purpose, a Bayesian Structural Vector Autoregression (SVAR) model with sign and zero restrictions is used. We particularly focus on how the fiscal and monetary policy variables respond to...

This paper analyzes the effectiveness of monetary policy on money and credit in Pakistan by using the data rich environment. FAVAR model is used which consists of 115 macroeconomic variable for the period 1992:01 to 2010:12. Results depict that after a positive shock in interest rate (discount...

The purpose of this study is to estimate the natural yield curve for an emerging economy, with Indonesia as a case study. The estimation is done by a two-stage approach, namely, the decomposition of the yield curve component through a dynamic Nelson-Siegel model, the results of which are then...

This paper aims to analyse the dynamics of foreign exchange markets in a country facing political uncertainty that prompt capital outflow from the country. The economic environment under investigation is characterized by dual foreign exchange markets: a formal or official market for foreign...

Employing Factor Augmented Vector Autoregression (FAVAR) model where factors are obtained using the principal component analysis (PCA) and the parameters of the model are estimated using Vector Autoregression framework, we analyse how changes in monetary policy variables impact inflation,...

This study investigates time and frequency connectedness between monetary policy in the US and 7 African countries to determine the extent to which US monetary policy influences policy conduct amongst African Central Banks. We use a time-varying parameter vector autoregressive (TVP-VAR)...