scholarly journals Operational Risk Loss Reserve Analysis of a Non-Financial Company

2020 ◽  
Author(s):  
Aryo Candra Hilali ◽  
Adi Vithara Purba
Keyword(s):  
Operational Risk ◽  
Loss Reserve ◽  
Financial Company ◽  
Risk Loss

The cost of operational risk loss insurance

2010 ◽  
Vol 13 (3) ◽  
pp. 273-295 ◽  
Author(s):  
Robert A. Jarrow ◽  
Jeff Oxman ◽  
Yildiray Yildirim
Keyword(s):  
Operational Risk ◽  
The Cost ◽  
Risk Loss

scholarly journals ICT Operational Risk Management (ORM) and Performances of a Financial SME

2013 ◽  
Vol 52 (2) ◽  
pp. 127-138
Author(s):  
A. Bayaga, S. Flowerday ◽  
R. Piderit
Keyword(s):  
Risk Management ◽  
Significant Proportion ◽  
Operational Risk ◽  
Eastern Cape ◽  
Information Communication ◽  
Operational Risk Management ◽  
Electronic Survey ◽  
Strategic Impact ◽  
Data Reduction Technique ◽  
Financial Company

This paper investigates the relationship between ICT operational risk management (ORM) and the performance of an SME. To achieve this, this research investigated five specific elements, namely: the principal causes of ICT ORM failure in an SME; change management requirements; characteristic(s) of business information; challenges posed by new ORM solutions; and evaluation models for understanding the value of ICT ORM in SMEs. Following a literature review, an electronic survey consisting of closed ended questions was developed. This was distributed at a financial company in the Eastern Cape and 107 responses were gathered. Factor analysis was used as a data reduction technique to reduce the large number of related variables to a more manageable number. The empirical evidence presented indicated that a significant proportion of the aforementioned variables have impact on the performance of an SME. Therefore, this paper indicates that there is a strategic impact of ICT ORM on SME performance. Keywords: SME Performance, Operational Risk Management, Information Communication Technology

Functional and operational risk as a criterion for assessing the durability of an autonomous energy system

2019 ◽  
Vol 12 (1) ◽  
pp. 56-62 ◽  
Author(s):  
A. O. Nedosekin ◽  
A. V. Smirnov ◽  
D. P. Makarenko ◽  
Z. I. Abdoulaeva
Keyword(s):  
Service Life ◽  
Structural Reliability ◽  
Residual Life ◽  
Fuzzy Random Variable ◽  
Operational Risk ◽  
Energy System ◽  
Technical System ◽  
Residual Service Life ◽  
Technological Parameters ◽  
Residual Service

The article presents new models and methods for estimating the residual service life of an autonomous energy system, using the functional operational risk criterion (FOR). The purpose of the article is to demonstrate a new method of durability evaluation using the fuzzy logic and soft computing framework. Durability in the article is understood as a complex property directly adjacent to the complex property of system resilience, as understood in the Western practice of assessing and ensuring the reliability of technical systems. Due to the lack of reliable homogeneous statistics on system equipment failures and recoveries, triangular fuzzy estimates of failure and recovery intensities are used as fuzzy functions of time based on incomplete data and expert estimates. The FOR in the model is the possibility for the system availability ratio to be below the standard level. An example of the evaluation of the FOR and the residual service life of a redundant cold supply system of a special facility is considered. The transition from the paradigm of structural reliability to the paradigm of functional reliability based on the continuous degradation of the technological parameters of an autonomous energy system is considered. In this case, the FOR can no longer be evaluated by the criterion of a sudden failure, nor is it possible to build a Markov’s chain on discrete states of the technical system. Assuming this, it is appropriate to predict the defi ning functional parameters of a technical system as fuzzy functions of a general form and to estimate the residual service life of the technical system as a fuzzy random variable. Then the FOR is estimated as the possibility for the residual life of the technical system to be below its warranty period, as determined by the supplier of the equipment.

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