@article{(Open Science Index):https://publications.waset.org/pdf/14022,
	  title     = {Operational Risk – Scenario Analysis},
	  author    = {Milan Rippel and  Petr Teply},
	  country	= {},
	  institution	= {},
	  abstract     = {This paper focuses on operational risk measurement
techniques and on economic capital estimation methods. A data
sample of operational losses provided by an anonymous Central
European bank is analyzed using several approaches. Loss
Distribution Approach and scenario analysis method are considered.
Custom plausible loss events defined in a particular scenario are
merged with the original data sample and their impact on capital
estimates and on the financial institution is evaluated. Two main
questions are assessed – What is the most appropriate statistical
method to measure and model operational loss data distribution? and
What is the impact of hypothetical plausible events on the financial
institution? The g&h distribution was evaluated to be the most
suitable one for operational risk modeling. The method based on the
combination of historical loss events modeling and scenario analysis
provides reasonable capital estimates and allows for the measurement
of the impact of extreme events on banking operations.},
	    journal   = {International Journal of Economics and Management Engineering},
	  volume    = {4},
	  number    = {6},
	  year      = {2010},
	  pages     = {723 - 730},
	  ee        = {https://publications.waset.org/pdf/14022},
	  url   	= {https://publications.waset.org/vol/42},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 42, 2010},