Predicting Downside Risks to House Prices and Macro-Financial Stability /
This paper predicts downside risks to future real house price growth (house-prices-at-risk or HaR) in 32 advanced and emerging market economies. Through a macro-model and predictive quantile regressions, we show that current house price overvaluation, excessive credit growth, and tighter financial c...
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| その他の著者: | , , |
| フォーマット: | 雑誌 |
| 言語: | English |
| 出版事項: |
Washington, D.C. :
International Monetary Fund,
2020.
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| シリーズ: | IMF Working Papers; Working Paper ;
No. 2020/011 |
| オンライン･アクセス: | Full text available on IMF |
| 要約: | This paper predicts downside risks to future real house price growth (house-prices-at-risk or HaR) in 32 advanced and emerging market economies. Through a macro-model and predictive quantile regressions, we show that current house price overvaluation, excessive credit growth, and tighter financial conditions jointly forecast higher house-prices-at-risk up to three years ahead. House-prices-at-risk help predict future growth at-risk and financial crises. We also investigate and propose policy solutions for preventing the identified risks. We find that overall, a tightening of macroprudential policy is the most effective at curbing downside risks to house prices, whereas a loosening of conventional monetary policy reduces downside risks only in advanced economies and only in the short-term. |
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| 記述事項: | <strong>Off-Campus Access:</strong> No User ID or Password Required <strong>On-Campus Access:</strong> No User ID or Password Required |
| 物理的記述: | 1 online resource (47 pages) |
| フォーマット: | Mode of access: Internet |
| ISSN: | 1018-5941 |
| アクセス: | Electronic access restricted to authorized BRAC University faculty, staff and students |