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Reforming Markets for Credit Default Swaps
                  & C ll t li d D bt Obli ti
                  & Collateralized Debt Obligations
                                       Christopher Whalen, PRMIA Chapter Head
                                       Christopher Whalen, PRMIA Chapter Head

                                                         Moderator
                                                         Gary Kopff
                                                            y p
                                                           Panelists
                                                •   Michael Greenberger 
                                                •   Joseph Mason
                                                    J    hM
                                                •   Kevin McPartland
                                                •   Ann Rutledge
                                                •   Tim Ryan
                                                    Tim Ryan
                                                                                       Sponsor
                          Host                          June 10, 2009



Gary Kopff, Everest Management, Inc. © 2009         PRMIA Conference – June 10, 2009             1
Presentation by Moderator
                       Presentation by Moderator

                  Growth and Composition of Markets 
                                              Credit Default Swaps 
                                              Collateralized Debt Obligations
                  Impact on Global Credit Crisis
                  Impact on Global Credit Crisis


                                                          Gary J. Kopff
                                              President & Founder, Heritage Management, Ltd. 
                                               President & Founder, Everest Management, Inc.


Gary Kopff, Everest Management, Inc. © 2009               PRMIA Conference – June 10, 2009      2
B.I.S. reports 28% decline, 2007‐2008, in outstanding credit default swaps




Source:  Bank for International Settlements , BIS Quarterly Review, “International Banking and Financial Market Developments,” March 2, 2009, Table 19; 
Source:  Bank for International Settlements , BIS Quarterly Review, “International Banking and Financial Market Developments,” March 2, 2009, Table 19; 
analysis and chart by Everest Management.
Gary Kopff, Everest Management, Inc. © 2009                 PRMIA Conference – June 10, 2009                                                           3
ISDA survey reports greater decline (38%), 
                                    based on higher EOY 2007 and lower EOY 2008  




Source:  ISDA Market Survey issued April 22, 2009; analysis and chart by Everest Management.
Gary Kopff, Everest Management, Inc. © 2009                PRMIA Conference – June 10, 2009    4
“The outstanding notional value of the CDS market has declined dramatically … 
       largely because of trade compression efforts –not a drying up of the market”
                                                   – Kevin McPartland


         “Market participants have                  “Compression trades                       “Solutions provided by 
         significantly reduced levels of            organized by TriOptima are                CreditEx/Market and 
         outstanding CDS trades via                 responsible for the                       TriOptima helped to 
         multilateral trade                         termination of approximately              untangle the existing 
         terminations (tear‐ups) to                 $30 trillion notional in CDS              web of trades, netting 
         lower outstanding notional 
         lower outstanding notional                 positions in 2008 alone. 
                                                    positions in 2008 alone                   open positions and 
                                                                                              open positions and
         amounts, reducing                          Largely as a result of                    leaving a single 
         counterparty credit exposures              compression trades, the                   trade, where possible.”  
         and operational risk. To date              aggregate notional size of the 
         in 2009, tear‐ups have                     CDS market has been reduced               Source:  Tabb Group, Credit 
                                                                                              Source:  Tabb Group, Credit 
                                                                                                                p
         eliminated approximately $7 
          l         d              l $              from roughly $60 trillion in 
                                                    f          hl $       ll                  Default Swaps:  What’s 
         trillion of CDS trade notional             mid 2008 to about $39 trillion            Going On? Kevin 
                                                                                              Going On? Kevin 
         amounts, in addition to the                at this point.”                           McPartland, June 2009
         $32 trillion eliminated in 
         2008.”                                     So rce “Polic Iss es Facing the
                                                    Source:  “Policy Issues Facing the 
                                                    Market for Credit Derivatives,” 
         Source:  Statement released by             Chapter 7 in The Road Ahead for the 
                                                    Chapter 7 in The Road Ahead for the 
         Federal Reserve Bank of New                Fed ,
                                                    Fed , by Darrell Duffie, Professor  at 
         York, April 1, 2009, after convening a     Stanford University Graduate School 
         meeting with industry leaders on           of Business.  (Ciorciari and John B. 
                                                    of Business.  (Ciorciari
         over‐the‐counter derivatives.
         over‐the‐counter derivatives               Taylor, eds.),  April 30, 2009, 
                                                        l    d )        l
                                                    Stanford, CA, Hoover Institution 
                                                    Press, 2009.


Gary Kopff, Everest Management, Inc. © 2009        PRMIA Conference – June 10, 2009                                          5
DTCC subsidiary (Deriv/SERV) now provides online transparency
                  for credit default swaps through “Trade Information Warehouse”

                                                                                              •   On Nov. 4, 2008, DTCC began publishing CDS 
                                                                                                  contract data each week for credit default swaps 
                                                                                                  registered in the DTCC Trade Information 
                                                                                                  Warehouse to enhance transparency in the 
                                                                                                  market for over‐the‐counter (OTC) credit 
                                                                                                  derivatives. 

                                                                                              •   DTCC indicates that its Warehouse is the only
                                                                                                  central trade registry and industry‐recognized 
                                                                                                  infrastructure for processing OTC  derivatives 
                                                                                                  infrastructure for processing OTC derivatives
                                                                                                  over their life and maintaining a comprehensive 
                                                                                                  trade database containing the primary record of 
                                                                                                  each contract.

                                                                                              •   DTCC’s central technology infrastructure 
                                                                                                  automates and standardizes CDS trade 
                                                                                                  processing – ie, record keeping, payment 
                                                                                                  calculations and settlement, notional 
                                                                                                  adjustments, and contract term changes over a 
                                                                                                  contract’s life.

                                                                                              •   DTCC uses confirmed transaction details as input 
                                                                                                  for the Warehouse’s central trade database, so 
                                                                                                  that post‐trade processing flows automatically 
                                                                                                  from agreed‐upon trade terms.




Sources:  Deriv/SERV:  Delivering Automated Solutions and Risk Management to OTC Derivatives, DTCC brochure, March 2008, p. 6.
Sources:  Deriv/SERV:  Delivering Automated Solutions and Risk Management to OTC Derivatives, DTCC brochure, March 2008, p. 6.
Gary Kopff, Everest Management, Inc. © 2009                PRMIA Conference – June 10, 2009                                                           6
Trade Information Warehouse permits view of three major CDS types, but 
              data not exportable nor available as time series to permit analysis

                                                                                                 Single‐Name Credit Default Swaps
                                                                                                 • Corporate:   North America, Europe, Emerging 
                                                                                                 Europe, Emerging Europe LPN, Australia, New 
                                                                                                 Zealand, Japan, Singapore, Asia (other), Latin 
                                                                                                 Zealand, Japan, Singapore, Asia (other), Latin
                                                                                                 America
                                                                                                 • Sovereign:  Australia, New Zealand, Japan, 
                                                                                                 Singapore, Asia (other), Latin America, Emerging 
                                                                                                 Europe and Middle East, Western Europe (non G‐
                                                                                                 10) 
                                                                                                 • Loans
                                                                                                 • RMBS ‐ Residential mortgage‐backed securities 
                                                                                                 • CMBS ‐ Commercial mortgage‐backed securities 


                                                                                                 Index Credit Default Swaps
                                                                                                 • US
                                                                                                   US corporate (CDX):  high grade, high‐yield, 
                                                                                                              t (CDX) hi h      d hi h i ld
                                                                                                 emerging market 
                                                                                                 • European corporate  (iTraxx):    high grade, high‐
                                                                                                 yield, emerging market
                                                                                                 • CMBX:  commercial mortgages
                                                                                                 • ABX:  asset‐backed
                                                                                                 • LCDX:  loans

                         100% = $28.1 Trillion Notional
                                                                                                 Tranche Credit Default Swaps
                                                                                                 •   CDX:  US corporate
                                                                                                 •                p       p
                                                                                                     iTraxx:  European corporate
                                                                                                 •   LCDX:  loans
                                                                                                 •   ABX:  asset‐backed

Source:  DTCC Deriv/SERV Trade Information Warehouse Data, May 29, 2009, Table 1; analysis and chart by Everest Management.
Source:  DTCC Deriv/SERV Trade Information Warehouse Data, May 29, 2009, Table 1; analysis and chart by Everest Management.
Gary Kopff, Everest Management, Inc. © 2009               PRMIA Conference – June 10, 2009                                                              7
83% of DTCC‐reported credit default swaps are dealer‐to‐dealer
                           46% of DTCC‐reported swaps are dealer‐to‐dealer, single‐name swaps

                                                                           Dealers & Non‐Dealer Customers; Buyers & Sellers
                                                                           Dealers & Non‐

                                                                                                                                 83%
                                                                                                                                 83
                                                                                                 Dealer‐Dealer All Types
                                                                                                 Dealer‐Dealer All Types




                                                                                                                                 46%
                                                                                                          Dealer‐Dealer Single‐
                                                                                                          Dealer‐Dealer Single‐Name




                                                                                                                                 24%
                                                                                                        Dealer‐Dealer Index
                                                                                                        Dealer‐Dealer Index

                                                                                                                                 13%
                                                                                                   Dealer‐Dealer Tranche
                                                                                                   Dealer‐Dealer Tranche




                                              100% = $28.1 Trillion Notional
Source:  DTCC Deriv/SERV Trade Information Warehouse Data, May 29, 2009, Table 1; analysis and chart by Everest Management
Source:  DTCC Deriv/SERV Trade Information Warehouse Data, May 29, 2009, Table 1; analysis and chart by Everest Management.
Gary Kopff, Everest Management, Inc. © 2009                  PRMIA Conference – June 10, 2009                                          8
Almost ¼ of single‐name credit default swaps reference financial firms




                           100% = $15.5 Trillion Gross Notional


Source:  DTCC Deriv/SERV Trade Information Warehouse Data, May 29, 2009, Table 2; analysis and chart by Everest Management
Source:  DTCC Deriv/SERV Trade Information Warehouse Data, May 29, 2009, Table 2; analysis and chart by Everest Management.
Gary Kopff, Everest Management, Inc. © 2009               PRMIA Conference – June 10, 2009                                    9
NET        GROSS     Ratio 
                             NOTIONAL  NOTIONAL  Gross:
                             ($Billions) ($Billions)  Net                Top 30 single‐name credit default swaps
    Top 30 as % of Total             14%         13%
30 Largest Single‐Name Credit 
                                      $198     $2,068    10
                                                                             account for 14% of total market
        Default Swaps
                          FINANCIALS
                                                                                          (Ranked by net notional)
                                                                                          (Ranked by net notional)
  1 GE Capital Corp.                 $11.4      $77.0     7
  2 Deutsche Bank                     $7.4      $77.7    11
  3 Bank of America                   $7.0     $102.4    15      Rank Change among Top 30
  4 Morgan Stanley                    $6.6      $70.6    11                                                Past Six Months Share Price
  5 JPMorgan Chase                    $6.0     $119.9
                                                                        May 22 to May 29  
                                                         20
  6 Merrill Lynch                     $5.4      $80.1    15     •   Among Financials, JPM 
  7 Goldman Sachs                     $5.2      $66.7    13         rose from 13th to 5th ($3.9 
  8 Wells Fargo                       $5.0      $93.7    19
                                                                    billion vs $6.0 billion, net 
  9 Barclays Bank                     $4.4      $51.0    12
 10 Royal Bank of Scotland            $4.4      $41.3     9
                                                                    notional)
 11 UBS                               $4.3      $39.0     9
 12 Citigroup                         $4.2
                                      $         $55.7
                                                $        13     •   Of 5,743 net added 
                                                                    Of 5 743 net added
 13 AIG                               $3.9      $42.4    11         contracts for all reference 
                      OTHER CORPORATE                               entities with 10+ 
 14 Bershire Hathaway                 $4.9      $19.0     4         contracts, JPMorgan Chase 
 15 Deutsche Telekom                  $4.8      $69.4    14         alone had added 5,894 
 16 Telefonica, SA                    $4.0      $60.7    15         contracts 
                    NATIONAL GOVERNMENTS                                                                          Source:  Bloomberg
                                                                                                                  S        Bl   b
 17 Italy                            $20.5      $175.9    9
 18 Spain                            $10.9       $73.4    7
 19 Germany                           $9.9       $46.7    5
 20 Brazil                            $9.6      $123.9   13            Gross Notional (USD equivalents using prevailing foreign exchange rates)
 21 Greece                            $8.1       $44.3    5            represents par amount of credit protection bought or sold, equivalent to
 22 F France                          $7.1
                                      $7 1       $36.6
                                                 $36 6    5            debt or bond amounts. (Gross Notional used to derive the coupon
 23 Russia                            $6.7      $103.0   15
                                                                       payment calculations for each payment period and the recovery amounts
 24 Austria                           $6.3       $29.0    5
                                                                       in the event of a default). Gross notional values do not reflect market
 25 Portugual                         $5.8       $40.9    7
                                                                       prices of contracts and may not correlate with mark‐to‐market values.
 26 Mexico                            $5.5       $89.8   16
 27 Turkey                            $5.4      $154.3   28
 28 Belgium                           $4.4
                                      $4 4       $20.4
                                                 $20 4    5
                                                                       Net Notional is sum of net protection bought by net buyers and represents
 29 Hungary                           $4.4       $42.3   10            the maximum possible net funds transfers between net sellers of
 30 Ireland                           $4.1       $21.5    5            protection and net buyers of protection that could be required upon the
                         Total     $108.9     $1,002.0    9            occurrence of a credit event relating to the particular reference entity.
Source:  DTCC Deriv/SERV Trade Information Warehouse Data, May 29, 2009, Tables 6 and 14 and definitions; analysis and chart by Everest Management
Source:  DTCC Deriv/SERV Trade Information Warehouse Data, May 29, 2009, Tables 6 and 14 and definitions; analysis and chart by Everest Management
Gary Kopff, Everest Management, Inc. © 2009                   PRMIA Conference – June 10, 2009                                                     10
Are CDS used for “bets” on sovereign bailouts?
               $109 billion (net notional) bet against debt of 14 countries, up $1 billion from May 22 
          •     Single‐name CDS growing with “bets” for and against sovereign debt that is increasing to fund bailout programs.  Credit‐
                protection costs and net notional amounts have risen sharply.  
          •     Some investors think the U.S. and European bank rescue plans will work and some don't. CDS are being used to trade 
                these views.  It's a way to make money on how the market is viewing that risk. 
          •     Different use of CDS from emerging markets where sovereign CDS have long been used to protect against a far more
                Different use of CDS from emerging markets, where sovereign CDS have long been used to protect against a far more 
                likely prospect of default.




 Source:  DTCC Deriv/SERV Trade Information Warehouse Data, May 
 Source:  DTCC Deriv/SERV Trade Information Warehouse Data, May           Source:  CreditDerivativesResearch; “Seven Sovereigns” are United States, 
                                                                          Source:  CreditDerivativesResearch; “Seven Sovereigns” are United States, 
 29, 2009, Table 6; analysis and chart by Everest Management              France, Germany, Italy, Spain, United Kingdom, & Japan.
Gary Kopff, Everest Management, Inc. © 2009              PRMIA Conference – June 10, 2009                                                         11
Industry’s risk exposure highly concentrated among five commercial banks;
        At each bank the risk exposure is a very large multiple of the bank’s risk‐based capital


                  Bilaterally netted exposure                                                        Total credit exposure



                                                                                                                                                       382*


                                                                                                                                                       278*


                                                                                                                                                       179*


                                                                                                                                                     1,056*
                                                                                                                                                     1 056*


                                                                                                                                                       105*




                                                                                 *Total Credit Exposure as multiple of Tier I + Tier II Risk‐Based Capital




NOTE:  The OCC defines total credit exposure in derivatives as the credit equivalent amount from derivative contracts (RC‐R line 54) or the sum of netted 
NOTE:  The OCC defines total credit exposure in derivatives as the credit equivalent amount from derivative contracts (RC‐
current credit exposure and “potential future exposure.”
Source:  OCC's Quarterly Report on Bank Derivatives Activities, Table 4, from Call Reports, Sch RC‐
Source:  OCC's Quarterly Report on Bank Derivatives Activities, Table 4, from Call Reports, Sch RC‐R, December 31, 2008; analysis and charts by 
Everest Management
Gary Kopff, Everest Management, Inc. © 2009                  PRMIA Conference – June 10, 2009                                                                12
Perceived risk of default by 13 leading swap dealers
                                                         (Average of five‐year swaps)  




                                   “Fourteen Dealers” [13 with Bank of America/Merrill Lynch merged] are Bank of America, 
                                    Fourteen Dealers” [13 with Bank of America/Merrill Lynch merged] are Bank of America, 
                                   BNP Paribas, Barclays Bank, Citigroup, Credit Suisse, Deutsche Bank, Dresdner Bank, 
                                   BNP Paribas, Barclays Bank, Citigroup, Credit Suisse, Deutsche Bank, Dresdner Bank, 
                                   Goldman Sachs, HSBC Bank, JP Morgan Chase, Merrill Lynch, Morgan Stanley, Royal Bank of 
                                   Scotland, and UBS.  Excluded:  Wells Fargo/Wachovia and Société Générale.
                                   Scotland, and UBS.  Excluded:  Wells Fargo/Wachovia and Société Générale.



Source:  Credit Derivatives Research, http://www.creditresearch.com/cdrweb/index.jsp
Gary Kopff, Everest Management, Inc. © 2009                   PRMIA Conference – June 10, 2009                                13
Global CDOs by type of asset/risk exposure differ by industry sources 




                        100% = $1.30 Trillion                                                     100% = $1.33 Trillion
                            2002‐2009                                                                 2000‐2008

  NOTE:  DeaLogic compiles data by bookrunner parent and includes only 
  NOTE:  DeaLogic compiles data by bookrunner                                      Sources: 
  tranches sold (not Super Senior tranches retained).                              JPMorgan, MCM, IFRMarkets/Thompson, Creditflux, Bloomberg; 
                                                                                   JPMorgan, MCM, IFRMarkets/Thompson, Creditflux, Bloomberg; 
                                                                                   analysis and chart by Everest Management. 
Source:  DeaLogic; analysis and chart by Everest Management.
Source:  DeaLogic; analysis and chart by Everest Management.
Gary Kopff, Everest Management, Inc. © 2009                PRMIA Conference – June 10, 2009                                                      14
Global CDOs by type and yearly quarter




Source:  Securities Industry and Financial Markets Association; analysis and chart by Everest Management 
Gary Kopff, Everest Management, Inc. © 2009                 PRMIA Conference – June 10, 2009                15
Global CDOs were primarily backed by MBS or high yield loans 




Source:  Securities Industry and Financial Markets Association; analysis and chart by Everest Management 
Gary Kopff, Everest Management, Inc. © 2009                 PRMIA Conference – June 10, 2009                16
79% of Global CDOs created and sold by 6 U.S. and 5 European global banks 

                                                                                                                                $ Billions
                                                                                                                      $0    $100         $200     $300 

                         100% = $1.3 Trillion                                       Bank of America/Merrill Lynch
                                                                                                  JPMorgan Chase
                                                                                                         Citigroup
                                                                                  Wells Fargo/Wachovia Securities
                                                                                                    Deutsche Bank
                                                                                                   Goldman Sachs
                                                                                                   Barclays Capital
                                                                                                         y    p
                                                                                                      Credit Suisse
                                                                                                   Morgan Stanley
                                                                                        Union Bank of Switzerland
                                                                                           Royal Bank of Scotland
                                                                                                            Calyon
                                                                                                       ABN AMRO
                                                                                           SG Corp. & Inv. Banking
                                                                                                            Natixis
                                                                                                  UniCredit Group
                                                                                                          Nomura
                                                                                                      BNP Paribas
                                                                                               Commerzbank Group
                                                                                                             Fortis
                                                                                                             Other



NOTES:  *DeaLogic compiles data by bookrunner parent and includes only rank‐rated tranches sold by broker/dealers (not Super Senior tranches retained). 
Source:  DeaLogic; analysis and charts by Everest Management
Gary Kopff, Everest Management, Inc. © 2009                 PRMIA Conference – June 10, 2009                                                         17
Multi‐trillion losses referencing non‐prime U.S. mortgages were concentrated in 
                      $542 billion Mezzanine & High Grade Structured Finance CDOs 
                          [$436 billion “cash” & $106 billion synthetically created with credit default swaps]




Sources:  JPMorgan, MCM, IFRMarkets/Thompson, Creditflux, Bloomberg; analysis and chart by Everest Management 
Gary Kopff, Everest Management, Inc. © 2009              PRMIA Conference – June 10, 2009                        18
$262 billion synthetic CDO assets using credit default swaps 
                         accounted for 20% of $1.3 trillion CDO credit exposure
                                                                     Synthetic CDOs
                                                                     Synthetic CDOs 
                100% = $1.3 Trillion                                                                                     $Billions
                   2000‐
                   2000‐2008                                                                              $‐   $20    $40    $60     $80  $100  $120 



                                                                               Investment Grade Debt
                                                                                          G d     b


                                                                       Mezzanine Structured Finance 
       Cash CDOs
                                                                       High Grade Structured Finance
                                                                       High Grade Structured Finance
   structured to pay off                      Synthetic 
    liabilities with the                        CDOs                                   High Yield Loans
  interest and principal 
                                        created with credit 
       payments of 
                                           default swaps
   bond/loan collateral                     $262 billion
                                            $262 billion                                  CDO Squared
                                                                                          CDO Squared
           80%                                20%
                                                                               Commercial Real Estate


                                                                                      High Yield Bonds
                                                                                        g


                                                                                      Emerging Market


                                                                                                  Other



Sources:  JPMorgan, MCM, IFRMarkets/Thompson, Creditflux, Bloomberg; analysis and charts by Everest Management 
Gary Kopff, Everest Management, Inc. © 2009                    PRMIA Conference – June 10, 2009                                                         19
Unregulated CDS + Unregulated CDOs + Astonishing Greed/Risk Taking + 
                 Abusive Non‐Prime U.S. Mortgages = GLOBAL CREDIT CRISIS
                 Abusive Non‐Prime U.S. Mortgages = GLOBAL CREDIT CRISIS
        •     A very few global banks/investment banks in 2004‐2007 harnessed CDS technology to corrupt
              A very few global banks/investment banks in 2004 2007 harnessed CDS technology to corrupt 
                                                             2004‐
              further ABS SF CDOs. 
        •     SECRET FINANCIAL ENGINEERING:  structure with “Unfunded Super Seniors” to highly 
              SECRET FINANCIAL ENGINEERING:  structure with “Unfunded Super Seniors” to highly 
              leverage equity tranches; possible due to access to investors willing to accept very 
              low, interest‐only payments (eg, L90 + 5 to 15 basis points) for allegedly risk‐free positions
              low, interest only payments (eg, L + 5 to 15 basis points) for allegedly risk
              low interest‐only payments (eg L + 5 to 15 basis points) for allegedly risk‐free positions.
                                            (eg
        •     CDS enabled CDO size to reach $1 billion+ more quickly with 60‐80% of assets created 
              CDS enabled CDO size to reach $1 billion+ more quickly with 60‐
              synthetically; [CDO = Protection Seller] instead of CDO owning  cash bonds (eg, RMBS/CMBS) 
              synthetically; [CDO = Protection Seller] instead of CDO owning  cash bonds (eg, RMBS/CMBS) 
              which were too scarce in 2005‐
              which were too scarce in 2005‐2007 to fulfill global sales force ability to sell the product
        •     Allegedly low‐risk “Unfunded Super Senior” made even less risky allegedly when partially 
              Allegedly low‐
              hedged with reverse CDS [Investor = Protection Buyer]; counter‐party risk from AIG and 
              hedged with reverse CDS [Investor = Protection Buyer]; counter‐
              monoline bond insurers’ “transformer” units was gravely underestimated. 
        •     A few global banks whose investment banking & CDS staff created synthetic/hybrid CDOs 
              “drank their own cool aid” and invested heavily (ie, $10‐$50 billion) on the bank balance 
               drank their own cool aid” and invested heavily (ie, $10‐
              sheet in allegedly risk‐free “Unfunded Super Senior” tranches.
              sheet in allegedly risk‐free “Unfunded Super Senior ” tranches.
        •     Banks and rating agencies woefully underestimated “correlation risk” as losses often wiped 
              out 3rd party investors in lower tranches and then breached 15‐100% attachment points for
              out 3 party investors in lower tranches and then breached 15‐100% attachment points for 
                                                                             15
              “Unfunded Super Seniors.”  
        •      Virtually no disclosure to regulators & shareholders of these “secret” high‐risk plays that 
               Virtually no disclosure to regulators & shareholders of these “secret” high‐
              created some of the most toxic of assets; bailouts directly and indirectly by taxpayer funding 
              committed $406 billion for a few global banks, changed mark to‐market, and lowered the bar 
              committed $406 billion for a few global banks changed mark‐to‐market and lowered the bar
              committed $406 billion for a few global banks, changed mark‐
                                                                        mark‐
              with “stress tests” that allow losses from “Unfunded Super Seniors” to remain undisclosed.
              with “stress tests” that allow losses from “Unfunded Super Seniors” to remain undisclosed.


Gary Kopff, Everest Management, Inc. © 2009    PRMIA Conference – June 10, 2009                                 20
Despite inadequate transparency of toxic  CDO assets and Treasury delays 
        launching “Public‐Private Investment Program” for banks’ “Legacy Assets,”
      stock markets/single‐name CDS recognize loss exposure of a few global banks 
      stock markets/single name CDS recognize loss exposure of a few global banks


                                              UBS                  C                   BAC   MER




Sources:  Bloomberg; analysis and charts by Everest Management 
Gary Kopff, Everest Management, Inc. © 2009               PRMIA Conference – June 10, 2009         21
$405.8 billion bailout of big banks; $62 billion losses for 11 banks in 2008
                                                                                                               Earnings (Loss)  ($ Billions)
                                                                                                                 2007: $73     2008: ($62)

                                                                                                                     $7           ($24)


                                                                                                                    ($5)          ($19)


                                                                                                                     $5
                                                                                                                     $             ($6)
                                                                                                                                   ($ )


                                                                                                                     $4           ($28)
                                                                100% = $405.8 Billion
                                                                                                                    $
                                                                                                                    $14              $3


                                                                                                                    $15              $6


                                                                                                                    $12              $2


                                                                                                                    $0.1           $0.3


                                                                                                                     $9            ($5)


                                                                                                                     $3              $2


                                                                                                                     $9              $8


NOTE:  Includes Bank of America’s $118 billion loss guarantee for Merrill toxic assets sold with MER financing & “clawbacks” prior to BAC acquisition 
NOTE:  Includes Bank of America’s $118 billion loss guarantee for Merrill toxic assets sold with MER financing & “clawbacks” prior to BAC acquisition 
plus other MER undisclosed losses; includes UBS’ $54 billion transfer of toxic assets to Swiss National bank; Société Général, Royal Bank of Scotland and  
plus other MER undisclosed losses; includes UBS’ $54 billion transfer of toxic assets to Swiss National bank; Société Général, Royal Bank of Scotland and  
Barclays , and UBS government funds are from France, United Kingdom, and Switzerland, respectively.
Sources: U.S. Treasury Department;  AIG Press Release,3/15/09; SEC 10‐Ks; IMF exchange rates 12/31/08; analysis & chart by Everest Management 
Sources: U.S. Treasury Department;  AIG Press Release,3/15/09; SEC 10‐Ks; IMF exchange rates 12/31/08; analysis & chart by Everest Management 
Gary Kopff, Everest Management, Inc. © 2009                   PRMIA Conference – June 10, 2009                                                            22

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Regulating Credit Default Swaps Preview For Press

  • 1. Reforming Markets for Credit Default Swaps & C ll t li d D bt Obli ti & Collateralized Debt Obligations Christopher Whalen, PRMIA Chapter Head Christopher Whalen, PRMIA Chapter Head Moderator Gary Kopff y p Panelists • Michael Greenberger  • Joseph Mason J hM • Kevin McPartland • Ann Rutledge • Tim Ryan Tim Ryan Sponsor Host June 10, 2009 Gary Kopff, Everest Management, Inc. © 2009 PRMIA Conference – June 10, 2009 1
  • 2. Presentation by Moderator Presentation by Moderator Growth and Composition of Markets  Credit Default Swaps  Collateralized Debt Obligations Impact on Global Credit Crisis Impact on Global Credit Crisis Gary J. Kopff President & Founder, Heritage Management, Ltd.  President & Founder, Everest Management, Inc. Gary Kopff, Everest Management, Inc. © 2009 PRMIA Conference – June 10, 2009 2
  • 4. ISDA survey reports greater decline (38%),  based on higher EOY 2007 and lower EOY 2008   Source:  ISDA Market Survey issued April 22, 2009; analysis and chart by Everest Management. Gary Kopff, Everest Management, Inc. © 2009 PRMIA Conference – June 10, 2009 4
  • 5. “The outstanding notional value of the CDS market has declined dramatically …  largely because of trade compression efforts –not a drying up of the market” – Kevin McPartland “Market participants have  “Compression trades  “Solutions provided by  significantly reduced levels of  organized by TriOptima are  CreditEx/Market and  outstanding CDS trades via  responsible for the  TriOptima helped to  multilateral trade  termination of approximately  untangle the existing  terminations (tear‐ups) to  $30 trillion notional in CDS  web of trades, netting  lower outstanding notional  lower outstanding notional positions in 2008 alone.  positions in 2008 alone open positions and  open positions and amounts, reducing  Largely as a result of  leaving a single  counterparty credit exposures  compression trades, the  trade, where possible.”   and operational risk. To date  aggregate notional size of the  in 2009, tear‐ups have  CDS market has been reduced  Source:  Tabb Group, Credit  Source:  Tabb Group, Credit  p eliminated approximately $7  l d l $ from roughly $60 trillion in  f hl $ ll Default Swaps:  What’s  trillion of CDS trade notional  mid 2008 to about $39 trillion  Going On? Kevin  Going On? Kevin  amounts, in addition to the  at this point.” McPartland, June 2009 $32 trillion eliminated in  2008.” So rce “Polic Iss es Facing the Source:  “Policy Issues Facing the  Market for Credit Derivatives,”  Source:  Statement released by  Chapter 7 in The Road Ahead for the  Chapter 7 in The Road Ahead for the  Federal Reserve Bank of New  Fed , Fed , by Darrell Duffie, Professor  at  York, April 1, 2009, after convening a  Stanford University Graduate School  meeting with industry leaders on  of Business.  (Ciorciari and John B.  of Business.  (Ciorciari over‐the‐counter derivatives. over‐the‐counter derivatives Taylor, eds.),  April 30, 2009,  l d ) l Stanford, CA, Hoover Institution  Press, 2009. Gary Kopff, Everest Management, Inc. © 2009 PRMIA Conference – June 10, 2009 5
  • 6. DTCC subsidiary (Deriv/SERV) now provides online transparency for credit default swaps through “Trade Information Warehouse” • On Nov. 4, 2008, DTCC began publishing CDS  contract data each week for credit default swaps  registered in the DTCC Trade Information  Warehouse to enhance transparency in the  market for over‐the‐counter (OTC) credit  derivatives.  • DTCC indicates that its Warehouse is the only central trade registry and industry‐recognized  infrastructure for processing OTC  derivatives  infrastructure for processing OTC derivatives over their life and maintaining a comprehensive  trade database containing the primary record of  each contract. • DTCC’s central technology infrastructure  automates and standardizes CDS trade  processing – ie, record keeping, payment  calculations and settlement, notional  adjustments, and contract term changes over a  contract’s life. • DTCC uses confirmed transaction details as input  for the Warehouse’s central trade database, so  that post‐trade processing flows automatically  from agreed‐upon trade terms. Sources:  Deriv/SERV:  Delivering Automated Solutions and Risk Management to OTC Derivatives, DTCC brochure, March 2008, p. 6. Sources:  Deriv/SERV:  Delivering Automated Solutions and Risk Management to OTC Derivatives, DTCC brochure, March 2008, p. 6. Gary Kopff, Everest Management, Inc. © 2009 PRMIA Conference – June 10, 2009 6
  • 7. Trade Information Warehouse permits view of three major CDS types, but  data not exportable nor available as time series to permit analysis Single‐Name Credit Default Swaps • Corporate:   North America, Europe, Emerging  Europe, Emerging Europe LPN, Australia, New  Zealand, Japan, Singapore, Asia (other), Latin  Zealand, Japan, Singapore, Asia (other), Latin America • Sovereign:  Australia, New Zealand, Japan,  Singapore, Asia (other), Latin America, Emerging  Europe and Middle East, Western Europe (non G‐ 10)  • Loans • RMBS ‐ Residential mortgage‐backed securities  • CMBS ‐ Commercial mortgage‐backed securities  Index Credit Default Swaps • US US corporate (CDX):  high grade, high‐yield,  t (CDX) hi h d hi h i ld emerging market  • European corporate  (iTraxx):    high grade, high‐ yield, emerging market • CMBX:  commercial mortgages • ABX:  asset‐backed • LCDX:  loans 100% = $28.1 Trillion Notional Tranche Credit Default Swaps • CDX:  US corporate • p p iTraxx:  European corporate • LCDX:  loans • ABX:  asset‐backed Source:  DTCC Deriv/SERV Trade Information Warehouse Data, May 29, 2009, Table 1; analysis and chart by Everest Management. Source:  DTCC Deriv/SERV Trade Information Warehouse Data, May 29, 2009, Table 1; analysis and chart by Everest Management. Gary Kopff, Everest Management, Inc. © 2009 PRMIA Conference – June 10, 2009 7
  • 8. 83% of DTCC‐reported credit default swaps are dealer‐to‐dealer 46% of DTCC‐reported swaps are dealer‐to‐dealer, single‐name swaps Dealers & Non‐Dealer Customers; Buyers & Sellers Dealers & Non‐ 83% 83 Dealer‐Dealer All Types Dealer‐Dealer All Types 46% Dealer‐Dealer Single‐ Dealer‐Dealer Single‐Name 24% Dealer‐Dealer Index Dealer‐Dealer Index 13% Dealer‐Dealer Tranche Dealer‐Dealer Tranche 100% = $28.1 Trillion Notional Source:  DTCC Deriv/SERV Trade Information Warehouse Data, May 29, 2009, Table 1; analysis and chart by Everest Management Source:  DTCC Deriv/SERV Trade Information Warehouse Data, May 29, 2009, Table 1; analysis and chart by Everest Management. Gary Kopff, Everest Management, Inc. © 2009 PRMIA Conference – June 10, 2009 8
  • 9. Almost ¼ of single‐name credit default swaps reference financial firms 100% = $15.5 Trillion Gross Notional Source:  DTCC Deriv/SERV Trade Information Warehouse Data, May 29, 2009, Table 2; analysis and chart by Everest Management Source:  DTCC Deriv/SERV Trade Information Warehouse Data, May 29, 2009, Table 2; analysis and chart by Everest Management. Gary Kopff, Everest Management, Inc. © 2009 PRMIA Conference – June 10, 2009 9
  • 10. NET  GROSS  Ratio  NOTIONAL  NOTIONAL  Gross: ($Billions) ($Billions) Net Top 30 single‐name credit default swaps Top 30 as % of Total 14% 13% 30 Largest Single‐Name Credit  $198 $2,068 10 account for 14% of total market Default Swaps FINANCIALS (Ranked by net notional) (Ranked by net notional) 1 GE Capital Corp. $11.4 $77.0 7 2 Deutsche Bank $7.4 $77.7 11 3 Bank of America $7.0 $102.4 15 Rank Change among Top 30 4 Morgan Stanley $6.6 $70.6 11 Past Six Months Share Price 5 JPMorgan Chase $6.0 $119.9 May 22 to May 29   20 6 Merrill Lynch $5.4 $80.1 15 • Among Financials, JPM  7 Goldman Sachs $5.2 $66.7 13 rose from 13th to 5th ($3.9  8 Wells Fargo $5.0 $93.7 19 billion vs $6.0 billion, net  9 Barclays Bank $4.4 $51.0 12 10 Royal Bank of Scotland $4.4 $41.3 9 notional) 11 UBS $4.3 $39.0 9 12 Citigroup $4.2 $ $55.7 $ 13 • Of 5,743 net added  Of 5 743 net added 13 AIG $3.9 $42.4 11 contracts for all reference  OTHER CORPORATE entities with 10+  14 Bershire Hathaway $4.9 $19.0 4 contracts, JPMorgan Chase  15 Deutsche Telekom $4.8 $69.4 14 alone had added 5,894  16 Telefonica, SA $4.0 $60.7 15 contracts  NATIONAL GOVERNMENTS Source:  Bloomberg S Bl b 17 Italy $20.5 $175.9 9 18 Spain $10.9 $73.4 7 19 Germany $9.9 $46.7 5 20 Brazil $9.6 $123.9 13 Gross Notional (USD equivalents using prevailing foreign exchange rates) 21 Greece $8.1 $44.3 5 represents par amount of credit protection bought or sold, equivalent to 22 F France $7.1 $7 1 $36.6 $36 6 5 debt or bond amounts. (Gross Notional used to derive the coupon 23 Russia $6.7 $103.0 15 payment calculations for each payment period and the recovery amounts 24 Austria $6.3 $29.0 5 in the event of a default). Gross notional values do not reflect market 25 Portugual $5.8 $40.9 7 prices of contracts and may not correlate with mark‐to‐market values. 26 Mexico $5.5 $89.8 16 27 Turkey $5.4 $154.3 28 28 Belgium $4.4 $4 4 $20.4 $20 4 5 Net Notional is sum of net protection bought by net buyers and represents 29 Hungary $4.4 $42.3 10 the maximum possible net funds transfers between net sellers of 30 Ireland $4.1 $21.5 5 protection and net buyers of protection that could be required upon the Total $108.9 $1,002.0 9 occurrence of a credit event relating to the particular reference entity. Source:  DTCC Deriv/SERV Trade Information Warehouse Data, May 29, 2009, Tables 6 and 14 and definitions; analysis and chart by Everest Management Source:  DTCC Deriv/SERV Trade Information Warehouse Data, May 29, 2009, Tables 6 and 14 and definitions; analysis and chart by Everest Management Gary Kopff, Everest Management, Inc. © 2009 PRMIA Conference – June 10, 2009 10
  • 11. Are CDS used for “bets” on sovereign bailouts? $109 billion (net notional) bet against debt of 14 countries, up $1 billion from May 22  • Single‐name CDS growing with “bets” for and against sovereign debt that is increasing to fund bailout programs.  Credit‐ protection costs and net notional amounts have risen sharply.   • Some investors think the U.S. and European bank rescue plans will work and some don't. CDS are being used to trade  these views.  It's a way to make money on how the market is viewing that risk.  • Different use of CDS from emerging markets where sovereign CDS have long been used to protect against a far more Different use of CDS from emerging markets, where sovereign CDS have long been used to protect against a far more  likely prospect of default. Source:  DTCC Deriv/SERV Trade Information Warehouse Data, May  Source:  DTCC Deriv/SERV Trade Information Warehouse Data, May  Source:  CreditDerivativesResearch; “Seven Sovereigns” are United States,  Source:  CreditDerivativesResearch; “Seven Sovereigns” are United States,  29, 2009, Table 6; analysis and chart by Everest Management France, Germany, Italy, Spain, United Kingdom, & Japan. Gary Kopff, Everest Management, Inc. © 2009 PRMIA Conference – June 10, 2009 11
  • 12. Industry’s risk exposure highly concentrated among five commercial banks; At each bank the risk exposure is a very large multiple of the bank’s risk‐based capital Bilaterally netted exposure Total credit exposure 382* 278* 179* 1,056* 1 056* 105* *Total Credit Exposure as multiple of Tier I + Tier II Risk‐Based Capital NOTE:  The OCC defines total credit exposure in derivatives as the credit equivalent amount from derivative contracts (RC‐R line 54) or the sum of netted  NOTE:  The OCC defines total credit exposure in derivatives as the credit equivalent amount from derivative contracts (RC‐ current credit exposure and “potential future exposure.” Source:  OCC's Quarterly Report on Bank Derivatives Activities, Table 4, from Call Reports, Sch RC‐ Source:  OCC's Quarterly Report on Bank Derivatives Activities, Table 4, from Call Reports, Sch RC‐R, December 31, 2008; analysis and charts by  Everest Management Gary Kopff, Everest Management, Inc. © 2009 PRMIA Conference – June 10, 2009 12
  • 13. Perceived risk of default by 13 leading swap dealers (Average of five‐year swaps)   “Fourteen Dealers” [13 with Bank of America/Merrill Lynch merged] are Bank of America,  Fourteen Dealers” [13 with Bank of America/Merrill Lynch merged] are Bank of America,  BNP Paribas, Barclays Bank, Citigroup, Credit Suisse, Deutsche Bank, Dresdner Bank,  BNP Paribas, Barclays Bank, Citigroup, Credit Suisse, Deutsche Bank, Dresdner Bank,  Goldman Sachs, HSBC Bank, JP Morgan Chase, Merrill Lynch, Morgan Stanley, Royal Bank of  Scotland, and UBS.  Excluded:  Wells Fargo/Wachovia and Société Générale. Scotland, and UBS.  Excluded:  Wells Fargo/Wachovia and Société Générale. Source:  Credit Derivatives Research, http://www.creditresearch.com/cdrweb/index.jsp Gary Kopff, Everest Management, Inc. © 2009 PRMIA Conference – June 10, 2009 13
  • 14. Global CDOs by type of asset/risk exposure differ by industry sources  100% = $1.30 Trillion 100% = $1.33 Trillion 2002‐2009 2000‐2008 NOTE:  DeaLogic compiles data by bookrunner parent and includes only  NOTE:  DeaLogic compiles data by bookrunner Sources:  tranches sold (not Super Senior tranches retained). JPMorgan, MCM, IFRMarkets/Thompson, Creditflux, Bloomberg;  JPMorgan, MCM, IFRMarkets/Thompson, Creditflux, Bloomberg;  analysis and chart by Everest Management.  Source:  DeaLogic; analysis and chart by Everest Management. Source:  DeaLogic; analysis and chart by Everest Management. Gary Kopff, Everest Management, Inc. © 2009 PRMIA Conference – June 10, 2009 14
  • 17. 79% of Global CDOs created and sold by 6 U.S. and 5 European global banks  $ Billions $0  $100  $200  $300  100% = $1.3 Trillion Bank of America/Merrill Lynch JPMorgan Chase Citigroup Wells Fargo/Wachovia Securities Deutsche Bank Goldman Sachs Barclays Capital y p Credit Suisse Morgan Stanley Union Bank of Switzerland Royal Bank of Scotland Calyon ABN AMRO SG Corp. & Inv. Banking Natixis UniCredit Group Nomura BNP Paribas Commerzbank Group Fortis Other NOTES:  *DeaLogic compiles data by bookrunner parent and includes only rank‐rated tranches sold by broker/dealers (not Super Senior tranches retained).  Source:  DeaLogic; analysis and charts by Everest Management Gary Kopff, Everest Management, Inc. © 2009 PRMIA Conference – June 10, 2009 17
  • 18. Multi‐trillion losses referencing non‐prime U.S. mortgages were concentrated in  $542 billion Mezzanine & High Grade Structured Finance CDOs  [$436 billion “cash” & $106 billion synthetically created with credit default swaps] Sources:  JPMorgan, MCM, IFRMarkets/Thompson, Creditflux, Bloomberg; analysis and chart by Everest Management  Gary Kopff, Everest Management, Inc. © 2009 PRMIA Conference – June 10, 2009 18
  • 19. $262 billion synthetic CDO assets using credit default swaps  accounted for 20% of $1.3 trillion CDO credit exposure Synthetic CDOs Synthetic CDOs  100% = $1.3 Trillion $Billions 2000‐ 2000‐2008 $‐ $20  $40  $60  $80  $100  $120  Investment Grade Debt G d b Mezzanine Structured Finance  Cash CDOs High Grade Structured Finance High Grade Structured Finance structured to pay off  Synthetic  liabilities with the  CDOs High Yield Loans interest and principal  created with credit  payments of  default swaps bond/loan collateral $262 billion $262 billion CDO Squared CDO Squared 80% 20% Commercial Real Estate High Yield Bonds g Emerging Market Other Sources:  JPMorgan, MCM, IFRMarkets/Thompson, Creditflux, Bloomberg; analysis and charts by Everest Management  Gary Kopff, Everest Management, Inc. © 2009 PRMIA Conference – June 10, 2009 19
  • 20. Unregulated CDS + Unregulated CDOs + Astonishing Greed/Risk Taking +  Abusive Non‐Prime U.S. Mortgages = GLOBAL CREDIT CRISIS Abusive Non‐Prime U.S. Mortgages = GLOBAL CREDIT CRISIS • A very few global banks/investment banks in 2004‐2007 harnessed CDS technology to corrupt A very few global banks/investment banks in 2004 2007 harnessed CDS technology to corrupt  2004‐ further ABS SF CDOs.  • SECRET FINANCIAL ENGINEERING:  structure with “Unfunded Super Seniors” to highly  SECRET FINANCIAL ENGINEERING:  structure with “Unfunded Super Seniors” to highly  leverage equity tranches; possible due to access to investors willing to accept very  low, interest‐only payments (eg, L90 + 5 to 15 basis points) for allegedly risk‐free positions low, interest only payments (eg, L + 5 to 15 basis points) for allegedly risk low interest‐only payments (eg L + 5 to 15 basis points) for allegedly risk‐free positions. (eg • CDS enabled CDO size to reach $1 billion+ more quickly with 60‐80% of assets created  CDS enabled CDO size to reach $1 billion+ more quickly with 60‐ synthetically; [CDO = Protection Seller] instead of CDO owning  cash bonds (eg, RMBS/CMBS)  synthetically; [CDO = Protection Seller] instead of CDO owning  cash bonds (eg, RMBS/CMBS)  which were too scarce in 2005‐ which were too scarce in 2005‐2007 to fulfill global sales force ability to sell the product • Allegedly low‐risk “Unfunded Super Senior” made even less risky allegedly when partially  Allegedly low‐ hedged with reverse CDS [Investor = Protection Buyer]; counter‐party risk from AIG and  hedged with reverse CDS [Investor = Protection Buyer]; counter‐ monoline bond insurers’ “transformer” units was gravely underestimated.  • A few global banks whose investment banking & CDS staff created synthetic/hybrid CDOs  “drank their own cool aid” and invested heavily (ie, $10‐$50 billion) on the bank balance  drank their own cool aid” and invested heavily (ie, $10‐ sheet in allegedly risk‐free “Unfunded Super Senior” tranches. sheet in allegedly risk‐free “Unfunded Super Senior ” tranches. • Banks and rating agencies woefully underestimated “correlation risk” as losses often wiped  out 3rd party investors in lower tranches and then breached 15‐100% attachment points for out 3 party investors in lower tranches and then breached 15‐100% attachment points for  15 “Unfunded Super Seniors.”   • Virtually no disclosure to regulators & shareholders of these “secret” high‐risk plays that  Virtually no disclosure to regulators & shareholders of these “secret” high‐ created some of the most toxic of assets; bailouts directly and indirectly by taxpayer funding  committed $406 billion for a few global banks, changed mark to‐market, and lowered the bar  committed $406 billion for a few global banks changed mark‐to‐market and lowered the bar committed $406 billion for a few global banks, changed mark‐ mark‐ with “stress tests” that allow losses from “Unfunded Super Seniors” to remain undisclosed. with “stress tests” that allow losses from “Unfunded Super Seniors” to remain undisclosed. Gary Kopff, Everest Management, Inc. © 2009 PRMIA Conference – June 10, 2009 20
  • 21. Despite inadequate transparency of toxic  CDO assets and Treasury delays  launching “Public‐Private Investment Program” for banks’ “Legacy Assets,” stock markets/single‐name CDS recognize loss exposure of a few global banks  stock markets/single name CDS recognize loss exposure of a few global banks UBS C BAC MER Sources:  Bloomberg; analysis and charts by Everest Management  Gary Kopff, Everest Management, Inc. © 2009 PRMIA Conference – June 10, 2009 21
  • 22. $405.8 billion bailout of big banks; $62 billion losses for 11 banks in 2008 Earnings (Loss)  ($ Billions) 2007: $73 2008: ($62) $7 ($24) ($5) ($19) $5 $ ($6) ($ ) $4 ($28) 100% = $405.8 Billion $ $14 $3 $15 $6 $12 $2 $0.1 $0.3 $9 ($5) $3 $2 $9 $8 NOTE:  Includes Bank of America’s $118 billion loss guarantee for Merrill toxic assets sold with MER financing & “clawbacks” prior to BAC acquisition  NOTE:  Includes Bank of America’s $118 billion loss guarantee for Merrill toxic assets sold with MER financing & “clawbacks” prior to BAC acquisition  plus other MER undisclosed losses; includes UBS’ $54 billion transfer of toxic assets to Swiss National bank; Société Général, Royal Bank of Scotland and   plus other MER undisclosed losses; includes UBS’ $54 billion transfer of toxic assets to Swiss National bank; Société Général, Royal Bank of Scotland and   Barclays , and UBS government funds are from France, United Kingdom, and Switzerland, respectively. Sources: U.S. Treasury Department;  AIG Press Release,3/15/09; SEC 10‐Ks; IMF exchange rates 12/31/08; analysis & chart by Everest Management  Sources: U.S. Treasury Department;  AIG Press Release,3/15/09; SEC 10‐Ks; IMF exchange rates 12/31/08; analysis & chart by Everest Management  Gary Kopff, Everest Management, Inc. © 2009 PRMIA Conference – June 10, 2009 22