154 résultats pour « riskmanagement »

Dealing with Uncertainty in Cyberspace

There are five different common reactions to dealing with, or taming, this #uncertainty in #cyberspace: (1) using #riskmanagement to control uncertainty; (2) recovering from uncertainty through #resilience; (3) mitigating uncertainty through the use of #laws and #regulations; (4) suspending uncertainty by engaging in trust; and (5) ignoring uncertainty through inaction.

How Crime Shapes Insurance and Insurance Shapes Crime

Examines the relationship between #crime and #insurance, with a focus on the role of #governance, #riskassessment and #riskmanagement, #crimeprevention, #securitytechnology, #behavioraleconomics, #theft, #kidnap and #hijack for ransom, #fraud, and #ransomware. It analyzes five case studies to identify a co-evolutionary process in which #insurers collaborate with insureds, governments, and #thirdparty to #mitigaterisk, particularly when criminal innovations destabilize the #insurancemarket.

From Supply Chain Risk to Systemwide Disruptions

The #covid19 #pandemic revealed shortcomings in #supplychainmanagement and highlighted the need for rebuilding #supplychains for #resilience to respond to #systemwide #disruptions. This study outlines an approach to rebuilding supply chains for resilience, integrating innovation in areas critical to supply chain management. The authors focus on three areas deemed foundational to #supplychainresilience: forecasting, #supplychainrisk #riskmanagement, and product design.

Capturing ERM Lessons Learned from the Covid -19 Pandemic through Concept Mapping

The #covid19 #pandemic challenged every aspect of business and forced organizations to shift into #crisismode. The pandemic re-exposed issues associated with #siloedthinking in #riskmanagement. For organizations with inadequate #erm policies, plans, or procedures, this is a crucial time to reflect on improving their ERM processes through the capture and transfer of Covid-related lessons. This study explores how concept #riskmapping can be a valuable tool to structure lessons learned capture, ensure risk information is considered, and focus on ERM practice improvements.

Risk Management in Small- and Medium‑Sized Businesses and How Accountants Contribute

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The study finds that entrepreneurs view #riskmanagement as a mindset focused on asset preservation, competitive advantages, and local talent development. Risk management practices in #smes are mainly informal yet deliberate and fully integrated into the organization's fabric. In-house #accountants help entrepreneurs with #erm, while external accountants do not systematically contribute to risk management. The study contributes to both the theory and practice of risk management by providing empirical insights into SME owners' perceptions, sense-making, and risk management practices.

Capital Allocation Rules and Generalized Collapse to the Mean

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"In the [#riskmanagement] context of #capitalallocation principles for (not necessarily coherent) #riskmeasures, we derive - under mild conditions - some representation results as ``collapse to the mean'' in a generalized sense. This approach is related to the well-known Gradient allocation and allows to extend a result of Kalkbrener (Theorem 4.3 in \cite{kalkbr05}) to a non-differentiable setting as well as to more general capital allocation rules and risk measures."

Algorithmic Black Swans

The paper discusses the risks posed by #artificialintelligence (#ai) systems, from biased lending algorithms to chatbots that spew violent #hatespeech. The author argues that policymakers have a responsibility to consider broader, longer-term #risks from #aitechnology, such as #systemicrisk and the potential for misuse. While #regulatory proposals like the #eu #aiact and the #whitehouse AI Bill of Rights focus on immediate risks, they do not fully address the need for #algorithmicpreparedness. It proposes a roadmap for algorithmic preparedness, which includes five forward-looking principles to guide the development of regulations that confront the prospect of algorithmic black swans and mitigate the harms they pose to society. This approach is particularly important for general purpose systems like #chatgpt, which can be used for a wide range of applications, including ones that may have unintended consequences. The article emphasizes the need for #governance and #regulation to ensure that #aisystems are developed and used in ways that minimize risk and maximize benefit, and it references the #nist AI #riskmanagement Framework as a potential tool for achieving this goal.

Bankers Trust and the Birth of Modern Risk Management

This paper discusses the origins of modern #riskmanagement concepts and applications in the #financialindustry, which were developed at Bankers Trust in the 1970s. The bank's "Resources Management" group applied #probability theory to measure #marketrisk, #creditrisk, #liquidityrisk, and #operationalrisk, which were later brought together in a metric called Risk Adjusted Return On Capital (RAROC). RAROC was used to evaluate profitability, guide strategic planning, capital allocation, and incentive compensation. The article also discusses how Bankers Trust's risk management culture deteriorated after 1995, leading to its acquisition by #deutschebank Bank in 1998.

Financial Event Evolution Knowledge Graph: A Novel Approach of Event Analysis and Risk Discovery

This #china Wuhan University study proposes a Financial Event Evolution Knowledge Graph (FEEKG) to identify key risk sources by event association and clarify the path of #riskevents. The FEEKG has a multi-layer structure of "entity-event-risk" and includes a subgraph of about 112,000 entities and 78,500 relationships, an event evolution subgraph, and a dynamic evolution probability subgraph of topic risk events and risk types. The study analyzes the characters and rules of entity correlation, event evolution, and #risktransmission based on FEEKG and provides a new perspective for enterprises and #financialinstitutions to find the root of risks and formulate an effective #riskmanagement decision in time.