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  2. Risk score - Wikipedia

    en.wikipedia.org/wiki/Risk_score

    Simple to calculate: In simple cases, manual computing can be used to calculate a basic score (although some scores use rely on more sophisticated or less transparent calculations that require a computer program). Easily interpreted: The result of the calculation is a single number, with a higher score usually means higher risk.

  3. Common Vulnerability Scoring System - Wikipedia

    en.wikipedia.org/wiki/Common_Vulnerability...

    The Common Vulnerability Scoring System (CVSS) is a technical standard for assessing the severity of vulnerabilities in computing systems. Scores are calculated based on a formula with several metrics that approximate ease and impact of an exploit.

  4. Framingham Risk Score - Wikipedia

    en.wikipedia.org/wiki/Framingham_Risk_Score

    The Framingham Risk Score is a sex-specific algorithm used to estimate the 10-year cardiovascular risk of an individual. The Framingham Risk Score was first developed based on data obtained from the Framingham Heart Study, to estimate the 10-year risk of developing coronary heart disease. [1]

  5. Risk matrix - Wikipedia

    en.wikipedia.org/wiki/Risk_matrix

    Risk is the lack of certainty about the outcome of making a particular choice. Statistically, the level of downside risk can be calculated as the product of the probability that harm occurs (e.g., that an accident happens) multiplied by the severity of that harm (i.e., the average amount of harm or more conservatively the maximum credible amount of harm).

  6. Altman Z-score - Wikipedia

    en.wikipedia.org/wiki/Altman_Z-score

    The formula may be used to determine the probability that a firm will go into bankruptcy within two years. Z-scores are used to predict corporate defaults and an easy-to-calculate control measure for the financial distress status of companies in academic studies. The Z-score uses multiple corporate income and balance sheet values to measure the ...

  7. Mean squared error - Wikipedia

    en.wikipedia.org/wiki/Mean_squared_error

    In machine learning, specifically empirical risk minimization, MSE may refer to the empirical risk (the average loss on an observed data set), as an estimate of the true MSE (the true risk: the average loss on the actual population distribution). The MSE is a measure of the quality of an estimator.

  8. Residual risk - Wikipedia

    en.wikipedia.org/wiki/Residual_risk

    The residual risk is the amount of risk or danger associated with an action or event remaining after natural or inherent risks have been reduced by risk controls. [ 1 ] The general formula to calculate residual risk is

  9. Expected shortfall - Wikipedia

    en.wikipedia.org/wiki/Expected_shortfall

    Expected shortfall is considered a more useful risk measure than VaR because it is a coherent spectral measure of financial portfolio risk. It is calculated for a given quantile -level q {\displaystyle q} and is defined to be the mean loss of portfolio value given that a loss is occurring at or below the q {\displaystyle q} -quantile.

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