[PDF] Top 20 Sensitivity analysis using risk measures

... a risk measure. We propose a sensitivity analysis method based on derivatives of the output risk measure, in the direction of model ...global sensitivity measure, explicitly linking ... See full document

... The paper is organized as follows. For the paper to be self-contained, the …rst section reviews some basic results about quantiles. The second section considers quantiles of discrete distributions. The third section ... See full document

... their risk exposures as compared to keep on changing ...GAP analysis to measure interest rate risk caters the interest rate movement in a one-year ...insolvency risk somehow depends on ... See full document

... The sensitivity measures we propose in the present chapter reflect the joint distri- bution of individual input factors and output; hence our proposed method remains formally within the unifying framework ... See full document

... keep analysis of the released sample possible) and the frequency of unsafe combinations is typically low, the effect of the first modification is negligible in ... See full document

... The last step is to check the validity of the whole model assumption used in the fitting pro- cedure. Since the model residuals are supposed to behave like a strict white noise, correlograms of raw and absolute values ... See full document

... the analysis and evaluation of a diagnostic test ...between sensitivity (proportion of people with a disease and a positive result in a given test) and specificity (proportion of people without the disease ... See full document

... systemic risk (for example, through the dependency parameter and copula type), and indirectly, providing the basis for estimating other measures of sys- temic risk (for example, through assessing ... See full document

... coherent risk measures. Moreover, the convex risk measures were analyzed in F¨ ollmer and Schied (2002), and they argued that if a risk measure satisfies the axioms of monotonicity and ... See full document

... our analysis retains its ...of risk measures is by definition normative rather than ...that risk measures derived from generalised expected utility get this balance about ...a ... See full document

... This section presents the data for hazard and fragility curves used in this paper, and discusses the evaluation of seismic risk using either a closed-form solution method, or numerical integration. The ... See full document

... pay-risk sensitivity (Vega_Cash), which implying that changes in stock price volatility have more impact on the change in these CEOs compensation than the others when we consider the impact of bank ... See full document

... Management should use NMD assumptions that reflect institution-specific factors and avoid overreliance on industry estimates or default assumptions contained in off- the-shelf IRR models. Some institutions have ... See full document

... The availability and unavailability of the breaker system increased and decreased from 0.931387 and 0.068613 to 0.946326 and 0.053674 respectively with a corresponding increase in the annual downtime from 13.38hr/yr to ... See full document

... Quantile matching is a logical method for fitting continuous distributions to severity data collected using quantile approach. The method involves parameter estimation by minimizing the squared difference between ... See full document

... systemic risk measures, also described by Bisias et ...els. Measures like SES that attempt to capture the joint distribution of negative outcomes for financial institutions can be classified as ... See full document

... seismic risk assessment of buildings has widely been carried out. Seismic risk assessment consists of two phases; assessment of ground motion at a given site, and, assessment of damage of buildings subject ... See full document

... Third, we examined whether participants can detect changes in rates of eliciting events and changes in targets’ conditional reactions to them, even if this is not evident when they use summary trait measures. ... See full document

... From the scatter plots we know the relationship between each index and the risk grade eigenvalue (H) are all linear. Stepwise regression analysis is a convenient linear regression method [52]. In this ... See full document

... a wound infection. Fluid (pus, blood or watery secretion) usually ooze out from infectious wound. If the drainage fluid is green, or foul smelling, this could be a sign that the Healthy wound drainage can be managed ... See full document