TY - JOUR
T1 - Model risk in risk analysis for no-negative-equity-guarantees
AU - Huang, Jr Wei
AU - Yang, Sharon S.
AU - Chang, Chuang Chang
N1 - Publisher Copyright:
© 2021 Portfolio Management Research. All rights reserved.
PY - 2021/6
Y1 - 2021/6
N2 - Understanding the risk for No-Negative-Equity-Guarantees (NNEGs) requires the proper modeling of the housing return, interest rate, and mortality rate dynamics. This article investigates the model risk for the risk measures of NNEGs by calculating the Value-at-Risk (VaR) and Conditional-Tail-Expectation (CTE) from the provider perspective, with an emphasis on the housing price return model. Therefore, we propose a jump ARMA-GARCH model, according to nationwide house price return data in the UK. Interest rate and mortality rate dynamics are assumed to follow the CIR model and the CBD model, respectively. Our numerical analyses reveal that the housing price risk, interest-rate risk, and longevity risk can affect the VaR and CTE of NNEGs, with the impact being as significant as that for housing risk. The VaR and CTE of NNEGs will be greater for female borrowers than for male borrowers, essentially because females have a longer life expectancy. The proposed framework can help financial institutions manage the major three risk factors for NNEGs and assist in meeting the regulator’s concerns.
AB - Understanding the risk for No-Negative-Equity-Guarantees (NNEGs) requires the proper modeling of the housing return, interest rate, and mortality rate dynamics. This article investigates the model risk for the risk measures of NNEGs by calculating the Value-at-Risk (VaR) and Conditional-Tail-Expectation (CTE) from the provider perspective, with an emphasis on the housing price return model. Therefore, we propose a jump ARMA-GARCH model, according to nationwide house price return data in the UK. Interest rate and mortality rate dynamics are assumed to follow the CIR model and the CBD model, respectively. Our numerical analyses reveal that the housing price risk, interest-rate risk, and longevity risk can affect the VaR and CTE of NNEGs, with the impact being as significant as that for housing risk. The VaR and CTE of NNEGs will be greater for female borrowers than for male borrowers, essentially because females have a longer life expectancy. The proposed framework can help financial institutions manage the major three risk factors for NNEGs and assist in meeting the regulator’s concerns.
KW - Quantitative methods
KW - Real estate
KW - Use of alternative risk measures of trading risk
KW - VAR
UR - http://www.scopus.com/inward/record.url?scp=85107866915&partnerID=8YFLogxK
U2 - 10.3905/JOD.2020.1.125
DO - 10.3905/JOD.2020.1.125
M3 - 期刊論文
AN - SCOPUS:85107866915
SN - 1074-1240
VL - 28
SP - 87
EP - 110
JO - Journal of Derivatives
JF - Journal of Derivatives
IS - 4
ER -