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RMBS Rating Methodology
Jerry Fang Associate, Structured Finance Ratings Taiwan Ratings Corporation July 7, 2004
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RMBS Rating Methodology
Mortgage loan and property market research Determine market value decline under a worst case scenario Determine expected loss and required credit enhancement under a worst case scenario
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Credit Analysis What is the likelihood of default in the underlying mortgage portfolio? If a obligor defaults, how much will be lost relative to the original amount of the loan with respect to the loan agreement?
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Credit Risk Q: Why do we need to quantify credit risk?
A: To know how much credit support is required in particular rating categories Required credit support Default Frequency Loss Severity Expected losses X =
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Other Risks Credit risk is only one of the risks considered in a securitization structure Required credit support will also quantify other risks such as commingling risk, set-off risk, and servicer transition risk
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RMBS Rating Methodology- Expected Credit Loss Assumption
Start with a benchmark pool Then estimate the default frequency and loss severity of the loan pool to be securitized
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Benchmark Pool Pool size - minimum 300 loans Loan term - 25 years
Max. loan size - Taipei NT$6 million; others NT$3.5million Loan to value - maximum 70% Geographic dispersion (by postal code) - maximum Taipei 10%; others 5% Borrower status - salaried or professional Property features - less than 10 years or in prime location Loan record - no delinquency within the past 24 months Use of funds - purchase home; no equity take-out
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Determine Loss Severity - Market Value Decline Assumption
Based on loss experience, real estate status and macroeconomic conditions Determine maximum market value decline under worst case scenario for its rating level Categorize market value decline into four regions: Taipei City, northern Taiwan, central Taiwan and southern Taiwan
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Market Value Decline Assumption*
twAAA - twBBB Taipei City % - 18% Northern Taiwan 36% - 24% Central Taiwan 48% - 36% Southern Taiwan 48% - 36% * Ratio only applies to the benchmark pool
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Determine Loss Severity
Original property value Market value decline Auction discount Selling costs Legal costs Accrued interest
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Loss Severity Assumption*
twAAA - twBBB Taipei City % - 32% Northern Taiwan 61% - 38% Central Taiwan 72% - 52% Southern Taiwan 72% - 52% * Ratio subject to change to reflect risks of the loan pools
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Credit Loss Assumption
Default frequency x loss severity = expected credit loss -----> required credit support Default probability: twAAA - twBBB 11% - 5% Expected credit loss twAAA - twBBB Taipei City % % Northern Taiwan % % Central and Southern Taiwan % % * Ratio only applies to the benchmark pool
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RMBS Case Study First Com’l Bank 2003 Special Purpose Trust
Issuer: Deutsche Bank AG, Taipei Branch as trustee of the First Commercial Bank 2003 Special Purpose Trust (SPT) Closing Date: Mar. 2, 2004 Final Legal Maturity Date: Apr. 21, 2033 Originator/Account Bank: First Commercial Bank Servicer: First Commercial Bank Trustee/ Substitute Servicer: Deutsche Bank AG, Taipei Branch Arranger: Deutsche Bank AG, Taipei Branch
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RMBS Case Study First Com’l Bank 2003 Special Purpose Trust
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Transaction Overview
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The Underlying Mortgage Portfolio vs. Benchmark Pool
FCB RMBS Benchmark Pool Pool size 2,026 loans Min. 300 Loan size Avg. 2.4 million Max. loan size - Taipei NT$6 million; others NT$3.5 million Age of property Avg years Less than 10 years or in prime location Geographical concentration (in terms of zip code) Below 6% Maximum Taipei 10%; others 5%
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Credit Analysis Based on TRC’s RMBS criteria
Specific attributes of loan pool Historical performance of FCB’s overall mortgage loans and mortgage loans originated in northern Taiwan
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Cash Flow Analysis Stress levels in terms of default frequency and loss severity of the loan pool for each rated tranche Flexibility that the servicer will have in reducing the interest margin no less than 1.1%. But this type of resetting limited to 25% of the loan pool in terms of loan balance. Assume various levels of prepayment, interest indices, and delinquencies.
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Structural Analysis Interest rate risk Prepayment risk
Commingling risk Set-off risk Servicer transition risk Servicer of last resort vs. contracted back-up servicer Cash reserves vs. liquidity facility Earthquake risk
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Legal Analysis Legal analysis Tax analysis True sale
SPT bankruptcy remoteness Tax analysis
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What Ratings Do Not Address
Early maturity of certificates due to prepayment Total return of certificates Likelihood of downgrade Fraud and mistakes on part of issuer
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