This work applies the two-stage Factor Augmented Vector Autoregression (FAVAR) developed by Bernanke, Boivin and Eliasz (2005) to investigate the appropriateness of frequent monetary policy actions that involve frequent adjustments of the policy interest rate in a prolonged manner. From time to...

This work applies the FAVAR model to forecast GDP growth rate, unemployment rate and inflation rate of the Hong Kong economy. There is no factor model forecasting literature on the Hong Kong economy. The objective is to find out whether factor forecasting of using a large dataset can improve...

This work compares the effectiveness of quantity-based and price-based monetary policies in China using FAVAR. This essay is the pioneer to identify the 1-year lending rate and deposit rate as the policy rates, and includes yield curve information in the analysis. It is found that effects of...

The current financial crisis has now led most major central banks to rely covertly or overtly on quantitative easing. The unique Japanese experience of quantitative easing is the only experience which enables us to judge this therapy's effectiveness and the timing of the exit strategy. This...

We apply multivariate statistical methods to a large dataset of Singapore’s macroeconomic variables and global economic indicators with the objective of forecasting business cycles in a small open economy. The empirical results suggest that three common factors are present in the time series...

We use a broad set of Chinese economic indicators and a dynamic factor model framework to estimate Chinese economic activity and inflation as latent variables. We incorporate these latent variables into a factor-augmented vector autoregression (FAVAR) to estimate the effects of Chinese monetary...

This study proposes one plausible procedure to address two methodological issues,which are common in micro- and macro- econometric analyses, for the full realization ofresearch potential brought by recently available high dimensional data. To address the issue ofhow to infer the causal structure...