Abstract
Eight consumption-based asset pricing models are developed, estimated and compared their capacities in accounting for the asset markets in Hong Kong. Results based on conventional metrics or recently developed econometric techniques deliver similar results: introducing housing into the consumption-based models does not always improve the models' performance; how it is introduced matters. Recursive utility model and its housing-augmented variant, which emphasize the importance of early resolution of uncertainty and long term risk, outperform alternative models in forecasting stock returns. Collateral constraint model outperforms in predicting housing return, suggesting the importance of imperfect capital market in the housing market.
| Original language | English |
|---|---|
| Pages (from-to) | 18-41 |
| Journal | Journal of Housing Economics |
| Volume | 28 |
| Online published | 19 Dec 2014 |
| DOIs | |
| Publication status | Published - Jun 2015 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
Research Keywords
- Collateral constraint
- Consumption-based asset pricing model
- Habit formation
- Hansen-Jagannathan distance
- Model confidence sets
- Recursive utility
Policy Impact
- Cited in Policy Documents
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