Multi-Asset Risk Modelling with Compounded Rates

2021 ◽  
Author(s):  
Colin Turfus
Keyword(s):  
Risk Modelling ◽  
Asset Risk

Real estate market risk modelling

2015 ◽  
Author(s):  
Simon Stevenson ◽  
Mutale Katyoka
Keyword(s):  
Real Estate ◽  
Market Risk ◽  
Real Estate Market ◽  
Risk Modelling

Integration of cross asset risk assessment into road infrastructure asset management

2015 ◽  
Vol 105 (28) ◽  
pp. 1-7
Author(s):  
Alfred Weninger-Vycudil ◽  
Barbara Brozek ◽  
Roland Spielhofer ◽  
Chris Britton ◽  
Mark Oldfield
Keyword(s):  
Risk Assessment ◽  
Asset Management ◽  
Road Infrastructure ◽  
Asset Risk ◽  
Infrastructure Asset Management

Credit Risk Modelling Under Recessionary and Financial Distressed Conditions

2017 ◽  
Author(s):  
Yiannis Dendramis ◽  
Elias Tzavalis ◽  
Georgios Adraktas
Keyword(s):  
Credit Risk ◽  
Risk Modelling

scholarly journals Impact of ambient sound on risk perception in humans: neuroeconomic investigations

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Elise Payzan-LeNestour ◽  
Lionnel Pradier ◽  
James Doran ◽  
Gideon Nave ◽  
Bernard Balleine
Keyword(s):  
Risk Perception ◽  
Multisensory Perception ◽  
Future Research ◽  
Perception Of Risk ◽  
Asset Risk ◽  
Financial Trading ◽  
Ambient Sound ◽  
General Relevance ◽  
Wide Range ◽  
Professional Traders

AbstractResearch in the field of multisensory perception shows that what we hear can influence what we see in a wide range of perceptual tasks. It is however unknown whether this extends to the visual perception of risk, despite the importance of the question in many applied domains where properly assessing risk is crucial, starting with financial trading. To fill this knowledge gap, we ran interviews with professional traders and conducted three laboratory studies using judgments of financial asset risk as a testbed. We provide evidence that the presence of ambient sound impacts risk perception, possibly due to the combination of facilitatory and synesthetic effects of general relevance to the perception of risk in many species as well as humans. We discuss the implications of our findings for various applied domains (e.g., financial, medical, and military decision-making), and raise new questions for future research.

Risk modelling further implicates the angiogenesis pathway in anterior cruciate ligament ruptures

2021 ◽  
pp. 1-8
Author(s):  
Masouda Rahim ◽  
Miguel Lacerda ◽  
Malcolm Collins ◽  
Michael Posthumus ◽  
Alison V. September
Keyword(s):  
Anterior Cruciate Ligament ◽  
Cruciate Ligament ◽  
Risk Modelling ◽  
Anterior Cruciate ◽  
Angiogenesis Pathway

Wildfire Risk Modelling

2021 ◽  
pp. 100274
Author(s):  
Sandra Oliveira ◽  
Jorge Rocha ◽  
Ana Sá
Keyword(s):  
Risk Modelling ◽  
Wildfire Risk

‘Risk modelling with the mixed Erlang distribution’ by G. E. Willmot and S. Lin

2011 ◽  
Vol 27 (1) ◽  
pp. 17-18 ◽  
Author(s):  
David A. Stanford
Keyword(s):  
Erlang Distribution ◽  
Risk Modelling

scholarly journals Risk modelling on liquidations with Lévy processes

2022 ◽  
Vol 412 ◽  
pp. 126584
Author(s):  
Aili Zhang ◽  
Ping Chen ◽  
Shuanming Li ◽  
Wenyuan Wang
Keyword(s):  
Lévy Processes ◽  
Levy Processes ◽  
Risk Modelling

A Hybrid Topside Structural Approach to the Management of Aging Fleet

2021 ◽  
Author(s):  
Biramarta Isnadi ◽  
Luong Ann Lee ◽  
Sok Mooi Ng ◽  
Ave Suhendra Suhaili ◽  
Quailid Rezza M Nasir ◽  
...  
Keyword(s):  
Structural Integrity ◽  
Metal Loss ◽  
Web Based ◽  
Strong Basis ◽  
Asset Risk ◽  
Risk Ranking ◽  
Design Life ◽  
Industry Standards ◽  
Integrity Management ◽  
Inspection Data

Abstract The objective of this paper is to demonstrate the best practices of Topside Structural Integrity Management for an aging fleet of more than 200 platforms with about 60% of which has exceeded the design life. PETRONAS as the operator, has established a Topside Structural Integrity Management (SIM) strategy to demonstrate fitness of the offshore topside structures through a hybrid philosophy of time-based inspection with risk-based maintenance, which is in compliance to API RP2SIM (2014) inspection requirements. This paper shares the data management, methodology, challenges and value creation of this strategy. The SIM process adopted in this work is in compliance with industry standards API RP2SIM, focusing on Data-Evaluation-Strategy-Program processes. The operator HSE Risk Matrix is adopted in risk ranking of the topside structures. The main elements considered in developing the risk ranking of the topside structures are the design and assessment compliance, inspection compliance and maintenance compliance. Effective methodology to register asset and inspection data capture was developed to expedite the readiness of Topside SIM for a large aging fleet. The Topside SIM is being codified in the operator web-based tool, Structural Integrity Compliance System (SICS). Identifying major hazards for topside structures were primarily achieved via data trending post implementation of Topside SIM. It was then concluded that metal loss as the major threat. Further study on effect of metal loss provides a strong basis to move from time-based maintenance towards risk-based maintenance. Risk ranking of the assets allow the operator to prioritize resources while managing the risk within ALARP level. Current technologies such as drone and mobile inspection tools are deployed to expedite inspection findings and reporting processes. The data from the mobile inspection tool is directly fed into the web based SICS to allow reclassification of asset risk and anomalies management.

Bilateral finance organizations and stranded asset risk in coal: the case of Japan

2021 ◽  
pp. 1-16
Author(s):  
Llewelyn Hughes ◽  
Christian Downie
Keyword(s):  
Asset Risk
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