Journal
FINANCE RESEARCH LETTERS
Volume 47, Issue -, Pages -Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.frl.2021.102570
Keywords
Monetary Policy; Financial Cycle; TVP-FAVAR Model; SV-TVP-VAR Model
Categories
Funding
- National Natural Science Foundation of China [71873056]
- Science Foundation of Jilin [2020A15]
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This study uses TVP-SV-VAR and TVP-FAVAR models to evaluate the impact of quantitative and price-based monetary policies on China's financial cycle. The results show that quantitative monetary policy boosts the financial cycle, while price-based monetary policy has a stronger long-term negative effect to restrain boom and control financial risk.
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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