{"id":941,"date":"2020-04-28T16:35:50","date_gmt":"2020-04-28T08:35:50","guid":{"rendered":"http:\/\/localhost:8888\/?p=941"},"modified":"2025-12-25T16:13:02","modified_gmt":"2025-12-25T08:13:02","slug":"a-risk-management-model-for-mbs-issuers","status":"publish","type":"post","link":"https:\/\/www.gssinst.org\/irer\/2020\/04\/28\/a-risk-management-model-for-mbs-issuers\/","title":{"rendered":"A Risk Management Model for MBS Issuers"},"content":{"rendered":"\t\t
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Article<\/div>

A Risk Management Model for MBS Issuers<\/p>

Author<\/p>

Start Page \/ End Page<\/p>

Volume<\/p>

Issue Number<\/p>

Year<\/p>

Publication<\/p><\/div>

<\/p>

Eddie Lam<\/p>

169 \/ 195<\/p>

5<\/p>

1<\/p>

2002<\/p>

International Real Estate Review<\/p><\/div>

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Abstract<\/p>


Most previous studies that developed Mortgage-backed Securities (MBS) models focused on investors, but the model that is presented here is specifically for MBS issuers. I developed a risk management tool for issuers and guarantors to monitor their MBS portfolios. The model projects the cash inflow of mortgages and the cash outflow to MBS; alters the traditional model by introducing decision trees; combines the prepayment, delinquency, default, and recovery of delinquency into a single model; and uses a simulation program with multiple path generation to develop a model for issuers to manage their MBS portfolios. According to the results of the model, issuers can manage the risk level of their portfolios by determining the Collection Account Balance, the Overcollateralization Ratio, the Net Residual Value, and the Liquidity Advance. The final part of this paper provides suggestions on risk management for MBS issuers.<\/p>

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View PDF -https:\/\/doi.org\/10.53383\/100042<\/strong><\/a><\/p>

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Author<\/p>\n

Start Page \/ End Page<\/p>\n

Volume<\/p>\n

Issue Number<\/p>\n

Year<\/p>\n

Publication<\/p>\n<\/div>\n

\n<\/p>\n

Eddie Lam<\/p>\n

169 \/ 195<\/p>\n

5<\/p>\n

1<\/p>\n

2002<\/p>\n

International Real Estate Review<\/p>\n<\/div>\n

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