scholarly journals Good practice guide to setting inputs for operational risk models by the operational risk working party ‐ Abstract of the London Discussion

2016 ◽  
Vol 22 (1) ◽  
pp. 109-126

This abstract relates to the following paper: KelliherP. O. J, AcharyyaM., CouperA., GrantK., MaguireE., NicholasP., SmeraldC., StevensonD., ThirlwellJ. & CantleN.British Actuarial Journal. doi: 10.1017/S1357321716000210

2018 ◽  
Vol 23 ◽  

This abstract relates to the following paper: KelliherP.O.J., AcharyyaM., CouperA., GrantK., MaguireE., NicholasP., SmeraldC., StevensonD., ThirlwellJ. and CantleN.J.Good practice guide to setting inputs for operational risk models. British Actuarial Journal. doi: https://doi.org/10.1017/S1357321716000179


2016 ◽  
Vol 22 (1) ◽  
pp. 68-108 ◽  
Author(s):  
P. O. J. Kelliher ◽  
M. Acharyya ◽  
A. Couper ◽  
K. Grant ◽  
E. Maguire ◽  
...  

AbstractThis paper seeks to establish good practice in setting inputs for operational risk models for banks, insurers and other financial service firms. It reviews Basel, Solvency II and other regulatory requirements as well as publicly available literature on operational risk modelling. It recommends a combination of historic loss data and scenario analysis for modelling of individual risks, setting out issues with these data, and outlining good practice for loss data collection and scenario analysis. It recommends the use of expert judgement for setting correlations, and addresses information requirements for risk mitigation allowances and capital allocation, before briefly covering Bayesian network methods for modelling operational risks.


2013 ◽  
Vol 18 (3) ◽  
pp. 657-675
Author(s):  
Scott Eason

This abstract relates to the following paper:EasonS., BarkerP., ForoughiG., HarsantJ., HunterD., JarvisS., JonesG., KnavaV., MurphyP., MurrayK., MuthulingamJ., OdoziN., PageT., WashomaK. & WebbA.Is there a place in the UK Defined Contribution pensions market for a guaranteed savings product?British Actuarial Journal, doi:10.1017/S135732171300024X


2021 ◽  
Author(s):  
Brenda Barrios Becerra ◽  
Sodel Vazquez Reyes ◽  
Alejandra Garcia Hernandez ◽  
Perla Velasco Elizondo ◽  
Alejandro Mauricio Gonzalez

Metrology ◽  
2022 ◽  
Vol 2 (1) ◽  
pp. 19-32
Author(s):  
Janik Schaude ◽  
Andreas Christian Gröschl ◽  
Tino Hausotte

The article presents the determination of the topographic spatial resolution of an optical point sensor. It is quantified by the lateral period limit DLIM measured on a type ASG material measure, also called (topographic) Siemens star, with a confocal sensor following both a radial measurement and evaluation, as proposed by ISO 25178-70, and the measurement and subsequent evaluation of two line scans, proposed by the NPL Good Practice Guide. As will be shown, for the latter, an only slightly misidentified target centre of the Siemens star leads to quite significant errors of the determined DLIM. Remarkably, a misidentified target centre does not necessarily result in an overestimation of DLIM, but lower values might also be obtained. Therefore, a modified Good Practice Guide is proposed to determine DLIM more accurately, as it includes a thorough determination of the centre of the Siemens star as well. While the measurement and evaluation effort is increased slightly compared to the NPL Good Practice Guide, it is still much faster than a complete radial measurement and evaluation.


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