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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. Exposure factor - Wikipedia

   en.wikipedia.org/wiki/Exposure_Factor

   The exposure factor is usually a subjective value that the person assessing risk must define. It is represented in the impact of the risk over the asset, or percentage of asset lost. As an example, if the asset value is reduced two thirds, the exposure factor value is 0.66. If the asset is completely lost, the exposure factor is 1.0.

4. Risk assessment - Wikipedia

   en.wikipedia.org/wiki/Risk_assessment

   Risk assessment determines possible mishaps, their likelihood and consequences, and the tolerances for such events. [1] [2] The results of this process may be expressed in a quantitative or qualitative fashion. Risk assessment is an inherent part of a broader risk management strategy to help reduce any potential risk-related consequences. [1] [3]

5. Single-loss expectancy - Wikipedia

   en.wikipedia.org/wiki/Single-loss_expectancy

   The result is a monetary value in the same unit as the single-loss expectancy is expressed (euros, dollars, yens, etc.): exposure factor is the subjective, potential percentage of loss to a specific asset if a specific threat is realized. The exposure factor is a subjective value that the person assessing risk must define.

6. Ohlson O-score - Wikipedia

   en.wikipedia.org/wiki/Ohlson_o-score

   Two of the factors utilized are widely considered to be dummies as their value and thus their impact upon the formula typically is 0. [2] When using an O-score to evaluate the probability of company’s failure, then exp(O-score) is divided by 1 + exp(O-score). [3] The calculation for Ohlson O-score appears below: [4]

7. Value at risk - Wikipedia

   en.wikipedia.org/wiki/Value_at_risk

   The 5% Value at Risk of a hypothetical profit-and-loss probability density function. Value at risk (VaR) is a measure of the risk of loss of investment/capital.It estimates how much a set of investments might lose (with a given probability), given normal market conditions, in a set time period such as a day.

8. Tail value at risk - Wikipedia

   en.wikipedia.org/wiki/Tail_value_at_risk

   The former definition may not be a coherent risk measure in general, however it is coherent if the underlying distribution is continuous. [4] The latter definition is a coherent risk measure. [3] TVaR accounts for the severity of the failure, not only the chance of failure. The TVaR is a measure of the expectation only in the tail of the ...

9. 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).