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Verde fills three business-critical gaps unaddressed by virtually every other loan origination platform:
CUSTOM-TAILORED MODELS: YOUR WORLD, YOUR CUSTOMERS.
Conventional lending systems use a series of single- factor cutoffs to limit default risk. To realize acceptable loss rates, this approach must reject a large percentage of good borrowers. Conversely, achieving growth with this approach requires acceptance of undue risk.
Verde models project default odds, dollar default, repayment and other event timing for every loan evaluated. Our models are built for you, leveraging the full credit report (not just scores or select attributes) together with your own market conditions and lending experience. Verde models accurately estimate risk, expenses and revenues to simultaneously reduce losses and accelerate growth.
Conventional lending systems are credit risk centric. That sounds like a good thing, but managing credit quality alone isn’t good enough. Risk management is just one component in the overall economic outcome of the decision. A full view of revenue and expenses needs to be considered.
Verde estimates the size, timing, and probability of all material events, like early repayment, delinquency and charge off. From that we calculate the expected monthly cash flows from each loan application. Then, our financial models estimate the economic impact of each lending decision. You can treat each transaction and product independently or evaluate the value impact on the full relationship.
OPTIMIZED OFFERS: THE BEST DECISION. FOR EVERYONE.
Conventional lending systems are only designed to say yes or no to a fixed set of terms with little flexibility or support to find a better solution.
Verde understands your interest is to manage business performance and satisfy customers. Verde uses advanced optimization to identify the best options for satisfying the business interest and the applicant. Almost instantly, we can identify viable solutions that meet everyone's objectives. Whether the applicant is first time, subprime, superprime, or anyone in between, the ability to optimize creates the greatest opportunity for everyone.
WHAT’S IN A CREDIT SCORE?Big name credit scores are behavioral models that try to predict major delinquency and payment default behaviors within a wide time window for all borrowers, everywhere. They have somepredictive ability to differentiate lower and higher risk customers, but in most cases, it’s impossible to translate a score into quantitative figures that help underwriters price to risk tolerance and business costs. Most FIs just lend to near-zero default odds customers or make guesses, hoping that:
1) Low margin prime customers won’t repay before origination costs and fixed costs are covered, and
2) Margins on higher risk customers will exceed collection, recovery, and write-off costs.
In competitive markets, overpricing means losing potentially profitable relationships, and underpricing
puts your reputation, employees, and shareholders at risk.
With Verde Aurora™, there is a better solution.
BETTER BEHAVIORAL MODELINGBy leveraging your customer experience, Verde uses loan application, credit report, and other product and market relevant data to create highly predictive econometric models of all important behaviors that drive financial outcomes for each account. Verde Aurora™ provides the likelihood that something will happen and the “when.”
• Odds & Timing of Default/Payoff
FINANCIAL FORECASTSOnce we understand both the expected behaviors and the degree of confidence around those behaviors, we can then apply these expected cash flows to your business model and capital structure to determine whether or not each set of terms meets your business goals.
• Income Statement
BUSINESS RULESEvery company is different. Different risk tolerances, cost structures, functional capabilities and strengths, regulatory requirements, and so on. We evaluate all of this and build your business rules into Verde Aurora’s optimization routine to book accounts that best fit your business practice.
Want to approach new markets and opportunities? Verde will help you devise testing strategies to maximize learning while minimizing risk.
BE ADAPTIVEYour company, your market, and your customers are always changing. Verde Aurora’s models are periodically retuned to take maximum advantage of learning over time. This continual improvement ensures that you stay in the driver’s seat and focused on areas that will deliver maximum impact toward achieving your objectives.
Determining financial outcomes for each set of loan terms is a calculation-intensive process. Verde Aurora™ uses scalable, massively parallel processing techniques to quickly converge on “the best yes” set of loan terms that satisfy all stakeholders.
INFORMED DECISIONS: SMART LENDING, MUCH MORE THAN A SCORE.
Borrower attributes, loan structure, your business performance and objectives, and market and economic conditions all impact credit risk, cash flows and loan performance. These can only be understood and optimized when each lending opportunity is evaluated in context. A conventional credit score gives you average odds assuming an average situation. You deserve much better than average.
Verde models and simulates every lending opportunity considering each participant’s objectives, the borrower’s intents and abilities, and your business capabilities and controls, all within a relevant market view. With a complete view, we can accurately forecast the Probability of Default (PD) and the Loss Given Default (LGD) using real conditions (not assumed averages) for every loan decision. But we don’t stop there. Accurate risk predictions are critical but aren’t good enough alone.
First, Aurora™ understands that a loan’s terms and structure directly influence credit performance so it automatically optimizes each loan’s structure to produce the best results.
Next, Aurora™ takes that same industry leading approach to risk optimization and applies it to cash flows, financial performance and other critical objectives, such as community development or partner interests, giving you a truly complete business solution.
VERDE AURORA™Verde Aurora vs. The Industry’s Top Credit Score
This Lorenz curve compares the distribution of losses (Y) with the distribution of scored loans (X).
The thin black diagonal line represents a random guess (poorest model), while the red line shows actual behavior (perfect model). Moving farther from the black toward the red signifies improving model performance.
Shown here is a broad spectrum lending strategy. Holding X constant at 85% approval, we can compare the expected losses of each model.
In this case, Verde’s model (green) outperforms the bureau-based model (blue) by a factor of 4X, a charge off reduction of about $5.3M per $100M booked.
Advanced underwriting models are just as important for A and B lenders as they are for those targeting a broader audience.
On this slide, we’re applying the same model to the same population but we’re comparing performance based on a Prime lending strategy that holds credit losses at 1%.
Here, the Verde model (green) is able to approve four times as many loans (77% vs. 19%) at the same 1% default rate.
This performance differential remains the same (4X) even if we tighten criteria to a Super Prime default standard of 0.5%.