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Beating the Average Peer Lending Investment Strategies Scott Langmack March, 2009.

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Presentation on theme: "Beating the Average Peer Lending Investment Strategies Scott Langmack March, 2009."— Presentation transcript:

1 Beating the Average Peer Lending Investment Strategies Scott Langmack March, 2009

2 Agenda Peer to Peer Lending Overview The Unbelievable Bank Industry Secret Understanding Unsecured Credit and Defaults Strategies for Maximizing Returns What to Expect 2

3 Lending Is Investing? Two types of lending  Banks: Big, Powerful, Stable, Monolithic  Personal: The riskiest thing you can do Why are loans to people you know risky?  Banks will destroy your credit, come after you with lawyers and ruin your life  Your friend thinks you have “Extra Money”, you wont really miss it, and since its extra, you didn’t need it anyway 3

4 What If You Could Operate Like a Bank? For the first time in history, you can You can leverage  Systematic selection of the best credit borrowers  Operational and Legal administration of thousands of loans & payment processing  The threat of ruining someone’s credit, and coming after them with collections and lawyers All without ever getting your hands dirty 4

5 5 5 How To Think Of The Investment

6 Bank Disintermediation TAKING THE BANK OUT OF THE PICTURE Powerful and sophisticated investing 6

7 The Unbelievable Bank Industry Secret Banks overcharge 20+ Million People  Banks overcharge the best to offer credit to the worst  Its about SHARE OF MARKET 7

8 8 Defaults Are Predictable The only thing that can possibly go wrong is that a borrower wont pay you back If you can know with a high degree of confidence the percentage of borrowers who will not pay you back, you can make money The entire trillion dollar credit card industry is based on this very real, very well known dynamic

9 Why Defaults Are Predictable We are a credit society People with good credit get:  Acceptance, options, stuff, pride  Better interest rates on everything, including mortgages When people default on a loan:  Credit reporting agencies report broadly  It means REJECTION, for credit cards, mortgages, car loans, etc. 9

10 What's in a FICO Score? 10

11 Defaults Vary Dramatically By FICO Score Credit card statistics for November ’08 to April ‘09 11

12 Default Rates are Part of the Return Formula Very best credit risk people Low default risk = low interest rate loans 8% 0% 5% 10% 15% 20% 0.5% Loan RateExpected Defaults 0.8% Fees 6.7% Investment Return 12

13 Loan Rates Vary Based on Expected Defaults Higher default risk = higher interest rate loans 17% 0% 5% 10% 15% 20% 4.7% Loan RateExpected Defaults 0.8% Fees 11.5% Investment Return 13

14 Current Recession Adjustment Like banks and credit card companies, Lending Club raised rates to borrowers 20% 0% 5% 10% 15% 20% 7.7% Loan RateExpected Defaults 0.8% Fees 11.5% Investment Return 14

15 4 Keys To Maximizing Returns 1.Diversification is essential 2.Select for job stability 3.Select loan type 4.Select your rate and expected returns 15

16 16 #1 Diversification is Essential Best to have 400 or more notes Make statistics work in your favor: visual example 16

17 Example of Ranges of Returns Number of Loans Returns 17 Expected Returns by Number of Loans

18 Example: 10 Loans Number of Loans Returns 18 Number of Loans Returns Expected Returns by Number of Loans

19 Example: 100 Loans 19 Expected Returns by Number of Loans Number of Loans Returns

20 Example: 400 Loans 20 Expected Returns by Number of Loans Number of Loans Returns

21 #2 Select for Job Stability 21 Job Stability The Most Consistent Factor Look For:  Length of employment  Stability of company  Quality of company  Stability of industry  Tenure Watch Our For:  New jobs  New careers  Lower paying jobs  Low tenure

22 22 #3 Evaluate Loan Purpose Lending Club statistics show defaults vary by loan purpose Data based on loans 12 months and older Vacation Wedding Green Energy Car Medical Credit Card Refinancing Debt Consolidation Other Moving Education Home Down Payment Home Improvement Business Loan Best Average Worst

23 23 #4 Select Your Risk/Return Mix More volatility in the higher ranges  Example: Current LC total portfolio of loans between 12 and 18 months old: Target Return

24 11% What to Expect: Default & Return Curve 036912151821242730333639 Months 0% 1% 2% 3% 4% 5% 6% 7% 8% Delinquencies + Defaults & Charge-offs all impact NAR 13-1=12% 13-7.5=5.5% 13-4.75=8.25% 13-4=9% Net Annualized Return At Various Stages Of 13% Loan Portfolio (LC Fees not included) 9% 13% 12% 10% Net Annualized Percent 24

25 25 2008 Loans 2009 Loans 25 : Default Curve Example

26 26 Beating the Average: Recap 1.Diversify x400+ 2.Job stability 3.Purpose of loan 4.Select risk/reward 26


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