Abstract

Using a time-varying parameter vector vector autoregressive model with stochastic volatility (TVP-SV-VAR), this study evaluates the effect of quantitative and price-based monetary policies on China's financial cycle, which is represented by a dynamic financial condition index (FCI) constructed with a time-varying parameter factor-augmented vector autoregressive (TVP-FAVAR) model. Results reveal that quantitative monetary policy boosts the financial cycle slightly and swiftly, whereas price-based monetary policy has slower but stronger long-term negative effect to restrain boom and control financial risk. Moreover, the effects of both monetary policies are compromised in periods of strong financial fluctuation.

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