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# Contagion and computational modelling in financial networks.how the financial network should build is in the working paper1.

INSTRUCTIONS TO CANDIDATES
 Contagion and computational modelling in financial networks YOU CAN CHOOSE ANY PROGRAMMING LANGUAGE TO SOLVE THE CASE. First part:     The step how the financial network should build is in the working paper1. Generate ER (erdos renyi)network N=number of node  (banks) P= connection probability The links between the nodes are the weights. The weights are calculated by this rule:       Also these two values A(IB)= 0.2 and A(M)=0.8 are not changing. It has been explained in the attached the working paper (working paper 1) that you have to follow very carefully in this part!   The start is to generate and simulate network with small size first a for example with 6 nodes then if it is working try the simulation with 100-200 nodes. The solution for the first part is ended if you got this graph: An example for Simulation: Choose a node randomly to be failed How many banks failed after the initial bank fail N= at least 100     bank number 2 fail  10 bank more failed  contagion happened We are doing this simulation 200 times  150 cases contagion happened  frequency 150/200  average over contagion cases.   After you got the perfect exactly the same shaped graph for this part you can start to do the second part. Second part: Stochastic block model simulation (do the same things as in the first part with the same data, but in this case the average degree is fix but the µ is different.)

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