Abstract
We examine how uncertainty affects the loan-to-value (LTV) ratio, with a focus on identifying which types of uncertainty–such as those related to macroeconomy, financial market, housing market, and economic policy–are most impactful, using a VAR model. Our finding reveals that the LTV ratio declines in response to increased uncertainty, suggesting that uncertainty plays a significant role in shaping the LTV ratio. Notably, uncertainties in the financial and housing markets substantially decrease the LTV ratio for newly originated mortgage loans, challenging the exogenous collateral constraint framework. Additionally, it shows delayed and hump-shaped responses. These results differ from theoretical predictions.
| Original language | English |
|---|---|
| Journal | Applied Economics Letters |
| DOIs | |
| State | Accepted/In press - 2024 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 11 Sustainable Cities and Communities
Keywords
- Bayesian VAR model
- loan-to-value ratio
- Newly originated mortgage loans
- uncertainty
Quacquarelli Symonds(QS) Subject Topics
- Economics & Econometrics
Fingerprint
Dive into the research topics of 'Loan-to-value ratio and uncertainty'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver