Liquidity Stress Testing in Asset Management (Comprehensive Report)

2021 ◽  
Author(s):  
Thierry Roncalli
2021 ◽  
Author(s):  
Thierry Roncalli ◽  
Amina Cherief ◽  
Fatma Karray-Meziou ◽  
Margaux Regnault

2020 ◽  
Author(s):  
Thierry Roncalli ◽  
Fatma Karray-Meziou ◽  
François Pan ◽  
Margaux Regnault

2020 ◽  
Vol 78 (12) ◽  
pp. 1276-1285
Author(s):  
Shibu John A

Enterprise asset management (EAM) systems are used by asset owners and/or operators to manage the maintenance of their physical assets. These assets, including equipment, facilities, vehicles, and infrastructure, need maintenance to sustain their operations. An EAM system provides the means to have less unplanned downtime and extended asset longevity, which offers clear business benefits that improve the profit and loss statement and balance sheet. Particularly for capital-intensive industries, like drilling and exploration, the failure of on-time delivery of critical equipment or processes is disruptive and costs nonproductive time and customer satisfaction. Organizations understand these issues and employ an appropriate asset management system to engineer their asset maintenance and management. An EAM system is needed to manage the people, assets/equipment, and processes. EAMs are used to plan, optimize, execute, and track the needed maintenance activities with associated priorities, skills, materials, tools, and information. Similarly, nondestructive testing (NDT) is used as a tool for integrity assessment of assets in drilling and exploration. The main advantage of using NDT is that the item’s intended use or serviceability is not affected. The selection of a specific technique should be based on knowledge and skills that include design, material processing, and material evaluation. Validating the purpose of this paper, we emphasize the importance of optimizing the asset utilization and serviceability to enhance overall efficiency by integrating EAM software that manages assets, the operation management system (OMS) controlling the processes, and asset inspection management systems (AIMSs).


2010 ◽  
pp. 61-81 ◽  
Author(s):  
O. Solntsev ◽  
A. Pestova ◽  
M. Mamonov

The article analyzes factors that affect growth of the share of non-performing loans in the loan portfolio of Russian banks and proposes approaches for this share forecasting on the basis of dynamics of macroeconomic indicators. It also deals with methodological issues of remote stress-test of lending agencies. Using the results of conducted stress-test of Russian banks the authors assess their perspective capital needs in 2010 and estimate the share of government assistance in capital injections. Furthermore, the authors define the scale of vulnerable banks groups in the Russian banking sector.


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