Payment History
Accounting for 35% of the total score, this metric tracks the binary state of payments. A single 30-day delinquency can trigger a 60-100 point reduction depending on the initial baseline.
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Technical Analysis v4.2 Equifax and TransUnion
Equifax and TransUnion
Scoring Algorithms
A deep dive into the mathematical frameworks of ERS 2.0 and FICO Score 8. Understanding the specific coefficients used by Canadian credit bureaus to quantify risk and determine borrowing capacity.
Credit Mix
The diversity of credit types constitutes 10% of the algorithm. Systems favor a blend of revolving credit and installment loans to demonstrate multi-modal financial management.
Budget Allocation →Account Age
The "Length of Credit History" accounts for 15%. Algorithms calculate the mean age of all accounts, penalizing new inquiries while rewarding long-term active files.
Local Resources →Utilization Ratio Impact: The 30% Threshold Myth
In the Canadian financial landscape, the Credit Utilization Ratio (CUR) is the most volatile component of the scoring model. While general advice suggests keeping utilization below 30%, the Equifax ERS 2.0 algorithm actually shows non-linear sensitivity at much lower levels. Data suggests that consumers with scores above 800 typically maintain a CUR of less than 7%.
The algorithm calculates this by dividing the total outstanding balance of all revolving accounts by the total aggregate credit limit. However, it also applies a secondary check on individual card utilization. If a single card exceeds 50% utilization, even if the aggregate is low, the score may suffer due to "over-extension indicators."
"Credit utilization has no memory in current FICO models; however, the trended data in newer TransUnion models tracks the trajectory of debt over a 24-month window."
For those managing debt in Halifax or broader Nova Scotia, understanding the distinction between balance reporting and payment dates is critical. Bureaus receive data on the statement closing date, not the payment due date. If you pay your balance in full on the due date, the bureau may still record a high utilization if the statement already closed with a large balance.
Algorithm Weighting Comparison
| Factor | Weight | Impact Velocity |
|---|---|---|
| Payment History | 35% | High / Negative |
| Amounts Owed | 30% | Medium / Variable |
| Length of History | 15% | Low / Slow |
| New Credit | 10% | Immediate / Brief |
| Credit Mix | 10% | Low / Long-term |
Credit Mix Coefficients
The "Credit Mix" component is often misunderstood as a requirement to carry debt. In reality, the algorithm seeks to verify that a borrower can handle different repayment structures. The two primary categories are Revolving Credit (Credit cards, HELOCs) and Installment Credit (Mortgages, auto loans, student loans).
- Revolving Coefficient
- Measures ability to manage fluctuating balances and self-impose limits. High sensitivity to utilization spikes.
- Installment Coefficient
- Measures consistency over long durations. Scoring models reward the "age" of these loans more than the balance reduction.
For individuals utilizing the Snowball Method, closing a credit card after paying it off can inadvertently damage the credit mix and the average age of accounts. It is mathematically superior to keep the account open with a zero balance to maintain the aggregate credit limit, thereby lowering the total utilization ratio.
- Optimal Mix: 2-3 active revolving accounts and 1-2 installment loans.
- Risk Factor: Excessive "Consumer Finance" loans (high-interest retail financing) can be viewed negatively by some scoring versions.
- Inquiry Impact: Hard inquiries for new mix components result in a temporary 5-10 point reduction for 12 months.
Recovery Timeline Projection
Credit recovery is not an instantaneous process; it follows a logarithmic curve. When a significant negative event occurs—such as a 90-day delinquency or a consumer proposal—the initial drop is steep. Recovery speed depends on the "recency" and "frequency" of negative markers.
01
Short-term (3-6 Months)
Primary gains come from reducing utilization ratios and ensuring 100% on-time payments. Rapid score increases are possible if CUR drops from >90% to <10%.
02
Mid-term (12-24 Months)
Hard inquiries fall off the record. The "Age of Youngest Account" begins to mature, providing stability to the score baseline.
03
Long-term (3-7 Years)
Major derogatories (bankruptcies, judgments) are purged from Equifax and TransUnion files, allowing for a return to "Prime" lending tiers.
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