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Liquidity saving mechanisms and
         bank behaviour

          Marco Galbiati – BoE
       Kimmo Soramäki – VerticeTree

                    ABM-BaF
            Torino - 10 February 2009
Interbank payment systems

Real Time Gross Settlement (RTGS) mode
  • Incentives to queue
  • ‘Games’ being played on a liquidity/delay tradeoff
Interbank payment systems

Real Time Gross Settlement (RTGS) mode
  • Incentives to queue
  • ‘Games’ being played on a liquidity/delay tradeoff



  • Pool internal queues!
Interbank payment systems

Real Time Gross Settlement (RTGS) mode
  • Incentives to queue
  • ‘Games’ being played on a liquidity/delay tradeoff



  • Pool internal queues!

Liquidity Saving Mechanisms (LSMs)
Aims
1. Model a system with internal queues (LMM)

2. Look at how much liquidity/delay a LSM
   reduces in theory

3. Look at how banks would use a LSM

   An ‘agent-based’ model
Model of a payment system
• N banks

• A ‘day’ of several ‘seconds’

• Random payment orders
    random pairs ‘payer&payee’
    for each payment a ‘urgency’ parameter u ~ U[0,1]


• Each bank sends payment orders in either of two ‘pipes’
  (streams): RTGS or Queue
A



E               B




    D
            C
A



E               B




    D
            C
A



E               B




    D
            C
Low urgency? RTGS
        A
             1

E                  B




    D
            C
Low urgency? RTGS
        A
             1

E                  B




    D
            C
High urgency? Queue
                      A

                          1
           E                      B




               D
                              C
High urgency? Queue
                      A



           E                  B




               D
                          C
A



E               B




    D
            C
A



E               B




    D
            C
A



E               B




    D
            C
A



E               B




    D
            C
A



E               B




    D
            C
A



         E               B
high u




             D
                     C
A



        E               B
low u




            D
                    C
A



E               B




    D
            C
A



E               B




    D
            C
A



E               B




    D
            C
A



E               B




    D
            C
A



E               B




    D
            C
A



E               B




    D
            C
A



E               B




    D
            C
A



E               B




    D
            C
A



    E                               B




        D
                            C

                End of day
Cost = delay cost        + liquidity costs
     = _ uk • (tk - tk’) + _ • a
Illustration of costs
       Very low liquidity
cost




         Liquidity cost



         % routed to RTGS
Illustration of costs
       Very low liquidity




         Delay cost
cost




         % routed to RTGS
Illustration of costs
       Very low liquidity




       Total cost
cost




         % routed to RTGS
Illustration of costs
       Very low liquidity      Very high liquidity




                                   Total cost
       Total cost
cost




         % routed to RTGS       % routed to RTGS
The game
• Banks choose
    –opening liquidity balance: _
    –urgency threshold to queue: _


• For each strategy profile (_1, _1), (_2, _2), (_3, _3)… (_N, _N)
        a payoff (cost) function


• We look at Nash equilibrium for 2 cases:
     • ‘LMM’ - low urgency payments in internal queues
     • ‘LSM’ - low urgency payments in central queue
AB
              A



E                     B




    D
                  C
AB
              A



E                     B




    D
                  C
AB
              A



E                     B
                          AB




    D
                  C
A



E               B




    D
            C
A



E               B




    D
            C
Agent-based modelling

Liquidity flows very complex 
      simulate the settlement process
             to compute costs,
                    and hence equilibria
Agent-based modelling

Liquidity flows very complex 
       simulate the settlement process
                  to compute costs,
                             and hence equilibria


    We look at symmetric equilibria:
    {(_1, _1), (_2, _2), (_3, _3)… (_N, _N)} : (_i, _i) = (_j, _j) for each i, j
1
Model with internal queues
        (LMM)
Delay costs with LMM


Delay costs




                            1
Delay costs with LMM
              Increase “your” threshold


Delay costs




                                          1
Delay costs with LMM
              Increase “your” threshold


Delay costs




                                          2
Delay costs with LMM
              Increase “your” threshold


Delay costs




                                          3
Delay costs with LMM
              Increase “your” threshold


Delay costs




                                          4
Delay costs with LMM
              Increase “your” threshold


Delay costs




                                          5
Delay costs with LMM
              Increase “your” threshold


Delay costs




                                          6
Delay costs with LMM
              Increase “your” threshold


Delay costs




                                          7
Delay costs with LMM
              Increase “your” threshold


Delay costs




                                          8
Delay costs with LMM
              Increase “your” threshold


Delay costs




                                          9
Delay costs with LMM
      system level
Equilibria - LMM
Equilibria - LMM
  Increase liquidity price a
Equilibria - LMM
  Increase liquidity price a
Equilibria - LMM
  Increase liquidity price a
Equilibria - LMM
  Increase liquidity price a
Equilibria - LMM
  Increase liquidity price a
Equilibria - LMM
  Increase liquidity price a
Equilibria - LMM
  Increase liquidity price a
Equilibria - LMM

                                     Equil.

                                *    Planner
Cost
 Liquidity




                                Too little liquidity,
                                too much queueing
2
Potential savings from a LSM
       (‘LSM mechanics’)
Savings in liquidity




             RTGS + LMM

                          RTGS + LSM
Savings in liquidity
All in RTGS     All queued




                               RTGS + LMM

                                            RTGS + LSM
Savings in delay costs
3
How would banks
 use the LSM ?
Delay costs with LSM
Delay costs with LSM
Increasing “your” threshold
Delay costs with LSM
      Increasing “your” threshold

UAD
Delay costs with LSM
Increasing “your” threshold
Delay costs with LSM
Increasing “your” threshold
Delay costs with LSM
Increasing “your” threshold
Delay costs with LSM
Increasing “your” threshold
Delay costs with LSM
Increasing “your” threshold
Delay costs with LSM
Increasing “your” threshold
Delay costs with LSM
Increasing “your” threshold
_ - equilibria with LSM
_ - equilibria with LSM

    Increase liquidity price
_ - equilibria with LSM

    Increase liquidity price
_ - equilibria with LSM

    Increase liquidity price
_ - equilibria with LSM

    Increase liquidity price
_ - equilibria with LSM

    Increase liquidity price
_ - equilibria with LSM

    Increase liquidity price
_ - equilibria with LSM

    Increase liquidity price
_ - equilibria with LSM

    Increase liquidity price
_ - equilibria with LSM

    Increase liquidity price
_ - equilibria with LSM

    Increase liquidity price
_ - equilibria with LSM

    Increase liquidity price
_ - equilibria with LSM

    Increase liquidity price
_ - equilibria with LSM

    Increase liquidity price
_ - equilibria with LSM

    Increase liquidity price
_ - equilibria with LSM

    Increase liquidity price
_ - equilibria with LSM

    Increase liquidity price




                               At high liquidity cost
                               this is the only
                               equilibrium
_ - equilibria with LSM

    Increase liquidity price
_ - equilibria with LSM

    Increase liquidity price
_ - equilibria with LSM

    Increase liquidity price
_ - equilibria with LSM

    Increase liquidity price




                               At very high
                               liquidity cost
                               planner and
                               banks choose the
                               same
_ - equilibria with LSM

    Increase liquidity price
_ - equilibria with LSM

    Increase liquidity price
_ - equilibria with LSM

    Increase liquidity price
_ - equilibria with LSM

    Increase liquidity price
LMM vs LSM (good) equilibria

 costs




liquidity




 thresh.
LMM vs LSM (good) equilibria

 costs




liquidity




 thresh.
LMM vs LSM (good) equilibria


costs
LMM vs LSM (good) equilibria


  costs




cost ratio
LMM vs LSM (bad) equilibria

  costs




liquidity




  thresh.
Conclusions

         In the hands of a ‘planner’,
LSM can save substantial amounts of liquidity,
    and largely improve settlement speed
Conclusions

         In the hands of a ‘planner’,
LSM can save substantial amounts of liquidity,
    and largely improve settlement speed
          (but may require radical choices)




        In the hands of individual banks,
 LSM may require some ‘coordination device’
          to yield its potential benefits
Conclusions

         In the hands of a ‘planner’,
LSM can save substantial amounts of liquidity,
    and largely improve settlement speed




        In the hands of individual banks,
 LSM may require some ‘coordination device’
          to yield its potential benefits
Slide 112
Slide 113 (!)
   ~_~
Many thanks

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Liquidity saving mechanisms and bank behaviour