This paper examines the efficacy of macroprudential policies in addressing housing prices in a developing country like India, utilizing two novel databases on city-level house prices in India. Though the empirical models provide evidence of a sizable effect of the fundamental factors in influencing house price dynamics, they also reveal strong countercyclical properties of macroprudential tools i.e., loan-to-value (LTV) limit, risk weights, and provisioning requirements, in influencing housing price movements. Among the macroprudential policy tools, the LTV limit emerges as the most potent one in influencing the price dynamics. A granular investigation of the effectiveness of macroprudential tools suggests that the countercyclical effect of the regulatory ratios for large-sized mortgages is much stronger as compared with those for the small-sized mortgages, attributed mainly to investment motives associated with the large-sized loans. We also find the presence of asymmetry in the impact of loosening versus the tightening of the LTV limit, which can be attributed to the procyclical behavior of the house prices. (c) 2022 Elsevier B.V. All rights reserved.
机构:
MIT World Peace Univ, Fac Business, Kothrud Campus, Pune, Maharashtra, IndiaMIT World Peace Univ, Fac Business, Kothrud Campus, Pune, Maharashtra, India
Saha, Asish
Rooj, Debasis
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FLAME Univ, Dept Econ, Pune, Maharashtra, IndiaMIT World Peace Univ, Fac Business, Kothrud Campus, Pune, Maharashtra, India
Rooj, Debasis
Sengupta, Reshmi
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FLAME Univ, Dept Econ, Pune, Maharashtra, IndiaMIT World Peace Univ, Fac Business, Kothrud Campus, Pune, Maharashtra, India