Disciplines
Finance and Financial Management
Abstract
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 highly open economy, the most important variables affecting inflation and deflation turn out to be the growth rates of import prices and wealth (captured by the rates of growth of residential property prices). The NNRS model indicates that the likelihood of moving out of deflation has been steadily increasing.
Recommended Citation
McNelis, Paul D. and Chan, Carrie K.C., "Deflationary Dynamics in Hong Kong: Evidence from Linear andNeural Network Regime Switching Models" (2004). CRIF Seminar series. 22.
https://research.library.fordham.edu/crif_seminar_series/22
