In this paper we examine linkages across non-energy commodity price developments by means of a factor-augmented VAR model (FAVAR). From a set of non-energy commodity price series, we extract two factors, which we identify as common trends in metals and a food prices. These factors are included...

We introduce external risks, in the form of shocks to the level and volatility of world interest rates, into a small open economy model subject to the risk of sudden stops—large recessions together with abrupt reversals in capital inflows| and characterize optimal macroprudential policy in...

Chinese real business cycle (RBC) exhibits a unique pattern, which is characterized by moderate consumption volatility, substantially low investment volatility, and acyclical trade balance. These features are quite different from business cycles in other emerging markets and cannot be explained...

Standard sticky information pricing models successfully capture the sluggish movement of aggregate prices in response to monetary policy shocks but fail at matching the magnitude and frequency of price changes at the micro level. This paper shows that in a setting where firms choose when to...

The recent financial crisis has highlighted the limits of the "originate to distribute" model of banking, but its nexus with the macroeconomy and monetary policy remains unexplored. I build a DSGE model with banks (along the lines of Holmström and Tirole [28] and Parlour and Plantin [39]) and...

This paper investigates the transmission mechanism of mortgage premium to characterize the relationship between the housing market and the business cycle for the U.S. economy. The model matches the main features of the U.S. housing market and business cycles well. The mortgage premium is crucial...

IT progress and its application to the financial industry have inspired central banks and academics to analyse the merits of central bank digital currencies (CBDC) accessible to the broad public. This paper first reviews the advantages and risks of such CBDC. It then discusses two prominent...

This paper examines Deflationary dynamics in Hong Kong with a linear and a nonlinear neural-network regime-switching (NNRS) model. The NNRS model is superior to the linear model in terms of in-sample specification tests as well as out-of-sample forecasting accuracy. As befitting a small and...

This paper presents a model in which price setting firms decide what to pay attention to, subject to a constraint on information flow. When idiosyncratic conditions are more variable or more important than aggregate conditions, firms pay more attention to idiosyncratic conditions than to...

We review the recent literature that studies new, detailed micro data on prices. We discuss implications of the new micro data for macro models. We argue that the new micro data are helpful for macro models, but not decisive. There is no simple mapping from the frequency of price changes in...