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Tier Pricing By T.Y. Lee
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Table of Contents Background Framework Process Power of Separation Adverse Selection Conclusion
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Background (1/2) Dual Card Crisis in 2005 Financial Authority order banks to do Tier Pricing (or Risk Based Pricing) to manage risk
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Background (2/2) Common response in Taiwan: –separate risk into tiers according to rough definition of revolvers vs. transactorsrevolverstransactors Pros: can be easily done and implemented Cons: loss of opportunities because of low power of separation – there are other factors determining risk
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Framework (1/2) What I Did: –In addition to looking at risk, I also looked at potential revenue (or profit) –Set up a two-dimension framework and developed a scorecard for each dimension –Risk Scorecard on vertical axis –Revenue (or Profit) Scorecard on horizontal axis –There are 2 phases: 1.Existing Customers 2.New Applicants
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Framework (2/2)
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Process (1/2) For existing customers: –We have their information in-house –Both scorecards are updated monthly with latest customer information on consumption and payment –Set different strategies for customers in different cells –Movements between cells must be monitored
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Process (2/2) For New Applicants: –We do not have their information in-house, need to check Joint Credit Information Center (JCIC) for information –Usually on first come first serve basis –There are 2 stages: 1.To decide whether to approve or decline 2.If approved, one should determine the interest rate and the credit limit
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Power of Separation (1/7) Key to the success of this framework is the “Power of Separation” of scorecards, especially Risk scorecards – –assuming other things equal
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Power of Separation (2/7)
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Power of Separation (3/7) How to Measure Power of Separation: –KS ( Kolmogorov–Smirnov ) Advantage: easily understood and practical Disadvantage: not good with small BAD sample and not statistically intuitive –ROC (Receiver Operating Characteristics) Advantage: statistically intuitive and deals with small BAD sample well Disadvantage: difficult to determine rank order –Gini – similar to ROC
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Power of Separation (4/7) KS Statistics (1)
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Power of Separation (5/7) KS Statistics (2)
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Power of Separation (6/7) ROC Statistics Area Under Curve=88.4% Gini = 2 * (Area Under Curve – 0.5)
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Power of Separation (7/7) Citi Benchmarks
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Adverse Selection (1/5) An Example: –Banks A & B are targeting potential customers 1 & 2 –Both banks use scorecards, but the one used in Bank A is more accurate than the one used in Bank B –Customer 1 is actually riskier than customer 2 –Customer 1 eventually defaults in the future but customer 2 remains in good standing
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Adverse Selection (2/5) –Bank A correctly identifies that customer 1 is riskier because its model is more accurate –Unfortunately Bank B did not because its model is inferior
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Adverse Selection (3/5) –Scenario 1: Bank B approves customer 1’s application but reject customer 2’s Bank A approves customer 2’s application but reject customer 1’s Bank A makes profits on customer 2 and avoids default loss on customer 1 While Bank B suffers default loss on customer 1 and misses opportunity of doing business with customer 2 Scenario 1 is called adverse selection
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Adverse Selection (4/5) –Scenario 2: Both banks approve both customers’ application Due to Risk Based Pricing Bank A charges customer 2 a lower interest rate and higher rate for customer 1 Bank B charges customer 2 a higher rate than Bank A and customer 1 a lower rate than Bank A Customer 2 does business with Bank A only because of lower interest rate; while customer 1 does business with Bank B only because of lower interest rate as well
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Adverse Selection (5/5) –Scenario 2 (cont’d): Customer 1 eventually defaults Bank B suffers loss from customer 1 while Bank A make profits from customer 2 Scenario 2 is also called adverse selection
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Conclusion One should look at both risk and reward at the same time to have the whole picture Scorecards are powerful tools, if one knows how to use it
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Q & A
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Appendix Revolvers Transactors
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Revolvers Different banks may have different definitions, such as: –Ever have balance greater than 0 after payment in the past 3 month –Ever have balance greater than 0 after payment in the past 6 month –Ever have balance greater than 1,000 after payment in the past 3 month –Etc.
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Transactors Different banks may have different definitions, such as: –Never have balance greater than 0 after payment in the past 3 month –Never have balance greater than 0 after payment in the past 6 month –Never have balance greater than 1,000 after payment in the past 3 month –Etc.
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