Abstract: Methods, computer-readable media, and apparatuses are disclosed for quantifying risk and control assessments. The risk includes both residual risk and direction of risk. Various aspects of the invention quantitatively compare the risk and control assessments against step-ahead losses using special regression models that are particularly applicable to this kind of data. The empirical comparison may be performed on both loss event frequency and severity in two different and separate dimensions. The empirical comparison may also be performed using losses extracted by even occurrence and event settlement dates in two separate dates.

Abstract: Methods, computer-readable media, and apparatuses are disclosed for quantifying risk and control assessments. The risk includes both residual risk and direction of risk. Various aspects of the invention quantitatively compare the risk and control assessments against step-ahead losses using special regression models that are particularly applicable to this kind of data. The empirical comparison may be performed on both loss event frequency and severity in two different and separate dimensions. The empirical comparison may also be performed using losses extracted by even occurrence and event settlement dates in two separate dates.

Abstract: Methods, computer-readable media, and apparatuses are disclosed for quantifying risk and control assessments. The risk includes both residual risk and direction of risk. Various aspects of the invention quantitatively compare the risk and control assessments against step-ahead losses using special regression models that are particularly applicable to this kind of data. The empirical comparison may be performed on both loss event frequency and severity in two different and separate dimensions. The empirical comparison may also be performed using losses extracted by even occurrence and event settlement dates in two separate dates.

Abstract: Methods, computer-readable media, and apparatuses are disclosed for risk scenario analysis. Aspects of the embodiments disclose methods, computer readable media, and apparatuses for identifying scenarios for operational risk scenario analysis using analytical and quantitative methods. Additional aspects of the embodiments disclose methods, computer readable media, and apparatuses for identifying business units for performing risk scenario analysis using analytical and quantitative methods.

Abstract: Methods, computer-readable media, and apparatuses are disclosed for identifying predictive key risk indicators (KRIs) for organizations and/or firms through the application of specific statistical and quantitative methods that are well integrated with qualitative adjustment. An indicator is a variable with the purpose of measuring change in a phenomena or process. A risk indicator is an indicator that estimates the potential for some form of resource degradation using mathematical formulas or models. Organization/enterprise key risk indicators are an essential arsenal in the risk management framework of any firm or organization and may be required by regulatory agencies.

Abstract: Methods, computer-readable media, and apparatuses are disclosed for quantifying risk and control assessments. The risk includes both residual risk and direction of risk. Various aspects of the invention quantitatively compare the risk and control assessments against step-ahead losses using special regression models that are particularly applicable to this kind of data. The empirical comparison may be performed on both loss event frequency and severity in two different and separate dimensions. The empirical comparison may also be performed using losses extracted by even occurrence and event settlement dates in two separate dates.