Financial vulnerability models

This study tests the predictive ability of the Tuckman-Chang model by applying it to charitable organizations that survived and did not survive the Great Recession, an economic event that negatively affected the charitable sector. Charitable organizations listed in the 2006 IRS Statistics of Income Exempt Organizations Sample File (SOI), hosted by the National Center for Charitable Statistics (NCCS) Data Archive, were compared to those listed in the 2011 IRS SOI File.

95p inception36 25-11-2021 29 3   Download

Drive diversity. Homogeneous systems are less resi lient than diversified ones. For example, in 2007, a virus killed millions of farmed Chilean salmon. The fish had been farmed at high density, treated with similar antibiotics and subjected to similar preventive measures. They were, therefore, all vulnerable to a single threat. Applying this lesson, financial institutions could encourage diverse and contrarian approaches towards modelling risk and selecting business strategies. Competitive forces would make this difficult to achieve at an institutional level.

76p mebachano 01-02-2013 48 3   Download

The approach to assessing climate risks and im- pacts consists of the following sequential steps: (1) determining climate variables at the level of the city/watershed through downscaling techniques; (2) estimating impacts and vulnerability through hydrometeorological modeling, scenario analysis, and GIS mapping; and (3) preparing a damage/ loss assessment and identification/prioritization of adaptation options. As a first step, each of the city-level studies considered two IPCC scenarios, a high- and a low- emissions scenario, 4 and estimated climate risks to 2050.

49p bi_ve_sau 17-01-2013 42 4   Download

Many analysts also contend that credit scores, which weigh items that signify financial distress or limited availability of credit, are correlated with minority status. Significant debate has continued about lending practices that restrict access to credit in minority communities—a factor that could have a significant impact on insurance-based credit scores.

98p enterroi 01-02-2013 49 4   Download