The current #canadian regime, which draws on the #basel #operationalrisk framework, is not equipped to handle the unique challenges of #cyberrisk. Cyber incidents differ from traditional operational disruptions in terms of their dynamism and impact, and traditional risk-based #supervision is not suitable for the rapidly changing cyber profile of #regulated #financialinstitutions.services for all communities, especially those most impacted by climate change."
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.
Outsiders in #bank#boards improve #riskgovernance (decrease #risktaking, increase #riskmonitoring) for #regulatory#riskmeasures but worsen risk governance for economic risk measures.
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.
This paper explores the optimal #reinsurance design for an #insurer with multiple lines of business, where the dependence structure between #risks is unknown. The study considers Value-at-Risk (#var) and Range-Value-at-Risk (#rvar) as #riskmeasures and applies general premium principles. The optimal reinsurance strategies are obtained under budget constraint and expected profit constraint.
"We discuss different properties and representations of default #riskmeasures via monetary risk measures, families of related #tailrisk measures, and Choquet capacities. In a second step, we turn our focus on #defaultrisk measures, which are given as worst-case [#probability of #default] PDs and distorted PDs. The latter are frequently used in order to take into account model risk for the computation of #capitalrequirements through risk-weighted assets (#rwas), as demanded by the Capital Requirement #regulation (#crr). In this context, we discuss the impact of different default risk measures and margins of conservatism on the amount of risk-weighted assets."
This paper analyzes the relationship between the #baseliii countercyclical #capitalbuffer (#CCyB) and the #liquidity coverage #ratio (#lcr) requirement. The study shows that banks face a risk-liquidity trade-off with the LCR, affecting the CCyB required level to dampen cyclicality in #bank actual #capitalratios.
This paper proposes a novel mixed-frequency quantile vector autoregression (MF-QVAR) model that uses a #bayesian framework and multivariate asymmetric Laplace distribution to estimate missing low-frequency variables at higher frequencies. The proposed method allows for timely policy interventions by analyzing conditional quantiles for multiple variables of interest and deriving quantile-related #riskmeasures at high frequency. The model is applied to the US economy to #nowcast conditional quantiles of #gdp, providing insight into #var, Expected Shortfall, and distance among percentiles of real GDP nowcasts.
"#annuities, #longtermcareinsurance and #reversemortgages remain unpopular to manage #longevity, medical and housing price #risks after #retirement. We analyze low demand using a life-cycle model structurally estimated with a unique stated-preference survey experiment of #canadian households."
We define the degree of #banking integration in the #eurozone through different phases of the #economic cycle, from 2006 to 2020, with #complexnetworks and #clusteralgorithms … Regarding the nodes of the network, #germany yields the position of centrality in favor of #france.