Showing posts with label Global Housing Watch. Show all posts
Wednesday, April 13, 2022
From the IMF’s latest report on Macao:
“Staff reiterates its call to phase out the residency-based LTV capital flow management measure and macroprudential measure (IMF Country Report No. 19/123, Appendix IV). The authorities have introduced this measure in response to a potential risk from soaring property prices fueled by demand from non-residents. However, since 2019 this risk has abated as residential prices have plateaued and residential property transactions by non-residents have fallen. Linking the differentiation in LTV limits directly to banks’ risk assessment of loans and borrowers could attain the same objective without residency-based differentiation.”
From the IMF’s latest report on Macao:
“Staff reiterates its call to phase out the residency-based LTV capital flow management measure and macroprudential measure (IMF Country Report No. 19/123, Appendix IV). The authorities have introduced this measure in response to a potential risk from soaring property prices fueled by demand from non-residents. However, since 2019 this risk has abated as residential prices have plateaued and residential property transactions by non-residents have fallen.
Posted by 4:56 AM
atLabels: Global Housing Watch
Friday, April 8, 2022
On cross-country:
On the US:
On other countries:
On cross-country:
On the US:
Posted by 5:00 AM
atLabels: Global Housing Watch
Monday, April 4, 2022
From a new NBER working paper by Theresa Kuchler, Monika Piazzesi, and Johannes Stroebel:
“We review the recent literature on the determinants and effects of housing market expectations. We begin by providing an overview of existing surveys that elicit housing market expectations, and discuss how those surveys may be expanded in the future. We then document a number of facts about time-series and cross-sectional patterns of housing market expectations in these survey data, before summarizing research that has studied how individuals form these expectations. Housing market expectations are strongly influenced by recently observed house price changes, by personally or locally observed house price changes, by house price changes observed in a person’s social network, and by current home ownership status. Similarly, experienced house price volatility affects expectations uncertainty. We also summarize recent work that documents how differences in housing market expectations translate into differences in individuals’ housing market behaviors, including their home purchasing and mortgage financing decisions. Finally, we highlight research on how expectations affect aggregate outcomes in the housing market.”
From a new NBER working paper by Theresa Kuchler, Monika Piazzesi, and Johannes Stroebel:
“We review the recent literature on the determinants and effects of housing market expectations. We begin by providing an overview of existing surveys that elicit housing market expectations, and discuss how those surveys may be expanded in the future. We then document a number of facts about time-series and cross-sectional patterns of housing market expectations in these survey data,
Posted by 4:32 AM
atLabels: Global Housing Watch
From a new IMF working paper by Marco Gross, Thierry Tressel, Xiaodan Ding, and Eugen Tereanu:
“We present an analysis of the sensitivity of household mortgage probabilities of default (PDs) and loss given default (LGDs) on unemployment rates, house price growth, interest rates, and other drivers. A structural micro-macro simulation model is used to that end. It is anchored in the balance sheets and income-expense flow data from about 95,000 households and 230,000 household members from 21 EU countries and the U.S. We present country-specific nonlinear regressions based on the structural model simulation-implied relation between PDs and LGDs and their drivers. These can be used for macro scenario-conditional forecasting, without requiring the conduct of the micro simulation. We also present a policy counterfactual analysis of the responsiveness of mortgage PDs, LGDs, and bank capitalization conditional on adverse scenarios related to the COVID-19 pandemic across all countries. The economics of debt moratoria and guarantees are discussed against the background of the model-based analysis.”
From a new IMF working paper by Marco Gross, Thierry Tressel, Xiaodan Ding, and Eugen Tereanu:
“We present an analysis of the sensitivity of household mortgage probabilities of default (PDs) and loss given default (LGDs) on unemployment rates, house price growth, interest rates, and other drivers. A structural micro-macro simulation model is used to that end. It is anchored in the balance sheets and income-expense flow data from about 95,000 households and 230,000 household members from 21 EU countries and the U.S.
Posted by 4:30 AM
atLabels: Global Housing Watch
Friday, April 1, 2022
On cross-country:
On the US:
On other countries:
On cross-country:
On the US:
Posted by 5:00 AM
atLabels: Global Housing Watch
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