February  2006  Market  Clearing  in  the  Energy  Industry  5-23  ©  Copyright  2006,  CCRO.  All  rights  reserved.  rather  considers  both  qualitative  and  quantitative  factors  (though  rating  agencies  information  may  be  used  as  part  of  this  analysis).  Similarly,  SPP,  like  MISO,  has  proposed  not  relying  on  rating  agencies,  but  uses  a  scoring  model.  Most  ISO/RTOs  have  determined  that  a  one  size  fits  all  model  does  not  appropriately  address  all  members’  business  strategies  and  financial  risk  profiles.  Thus,  development  and  use  of  multiple  types  of  credit  scoring  models  within  and  among  ISO/RTOs  has  occurred  and  continues  to  mature.  In  general,  different  scoring  models  may  be  employed  for  public  and  non-public  entities  and,  in  some  instances,  further  broken  down  by  groupings  such  as  Generators/Merchants,  Providers  of  Last  Resort,  Power  Marketers,  Municipals-  Cooperatives-Other  Public  Power,  Load  Serving  Entities,  End  Users/Self  Generators,  and  Transmission  Service  Only  members.  5.1.6.  POLR  obligations  Many  LSEs  (load  serving  entities)  and  POLR  (providers  of  last  resort)  suppliers  currently  see  little  direct  benefit  from  accelerated  settlement,  clearing,  or  cross  commodity  netting  since  they  generally  settle  with  their  suppliers  on  a  monthly  basis  and  thus  would  need  to  finance  at  least  the  initial  settlement  acceleration,  but  might  not  be  able  to  recoup  their  costs  through  their  rate  base  recovery  processes.  Of  course,  accelerated  settlement  does  tend  to  reduce  the  magnitude  of  the  impact  of  a  potential  default  faced  by  LSEs  and  POLR  suppliers,  which  then  reduces  the  mutualized  impact  of  the  cost  of  that  default  otherwise  born  by  retail  customers.  LSEs  and  POLR  providers  with  lower  credit  ratings  could  also  benefit  from  accelerated  settlement  through  the  resulting  reduction  in  collateral  required  at  the  ISO/RTO.  In  the  case  of  LSEs  financial  or  operational  default  in  servicing  its  assigned  load,  the  load  would  revert  back  to  the  default  service  provider,  which  would  need  to  address  the  on-going  incremental  risk  to  its  portfolio  as  serviced  through  an  ISO/RTO.  5.1.7.  Implications  of  data  quality  Because  each  ISO/RTO  maintains  significant  and  very  unique  settlement  systems  and  credit  exposure  processes  and  methodologies,  it  is  a  challenge  to  provide  clearing  platform(s)  with  daily  data  in  order  to  provide  timely  information  to  effect  daily  settlement  consistent  with  other  financial  institutions  currently  employing  daily  settlement.  Real  time  or  daily  settlement  data  is  necessary  to  operate  an  efficient  clearing  mechanism  particularly  if  cross-ISO/RTO  exposure  netting  is  to  be  addressed.  Most  ISO/RTOs  accommodate  daily  exposure  analysis  by  using  projections  or  estimates  of  transactions  ranging  from  a  day  or  two  to  up  to  17  days  of  market  activity.  5.1.8.  Legal  and  regulatory  issues  There  are  numerous  legal  and  regulatory  issues  that  need  to  be  addressed  in  order  to  implement  a  clearing  solution  in  the  ISO/RTO  environment,  especially  with  respect  to  bankruptcy  law,  the  influence  of  US  District  and  Appellate  courts  compared  with  the  jurisdictional  oversight  of  the  FERC,  and  state  regulators.  
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