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  2. Exposure at default - Wikipedia

    en.wikipedia.org/wiki/Exposure_at_default

    Based on Basel Guidelines, EAD for commitments measures the amount of the facility that is likely to be drawn further if a default occurs. [3] Two popular terms used to express the percentage of the undrawn commitment that will be drawn and outstanding at default (in case of a default) are Conversion Factor (CF) [4] and Loan Equivalent (LEQ). [5]

  3. Loss given default - Wikipedia

    en.wikipedia.org/wiki/Loss_given_default

    Loss given default or LGD is the share of an asset that is lost if a borrower defaults. It is a common parameter in risk models and also a parameter used in the calculation of economic capital, expected loss or regulatory capital under Basel II for a banking institution. This is an attribute of any exposure on bank's client.

  4. Expected loss - Wikipedia

    en.wikipedia.org/wiki/Expected_loss

    Expected loss is not time-invariant, but rather needs to be recalculated when circumstances change. Sometimes both the probability of default and the loss given default can both rise, giving two reasons that the expected loss increases. For example, over a 20-year period only 5% of a certain class of homeowners default.

  5. Credit risk - Wikipedia

    en.wikipedia.org/wiki/Credit_risk

    Risk-based pricing – Lenders may charge a higher interest rate to borrowers who are more likely to default, a practice called risk-based pricing. Lenders consider factors relating to the loan such as loan purpose , credit rating , and loan-to-value ratio and estimates the effect on yield ( credit spread ).

  6. Financial risk - Wikipedia

    en.wikipedia.org/wiki/Financial_risk

    Expected Default is a risk calculated for the number of times a default will likely occur from the borrower. Expected Severity refers to the total cost incurred in the event a default occurs. This total loss includes loan principle and interests. Unlike Expected Loss, organizations have to hold capital for Unexpected Losses.

  7. Zero-risk bias - Wikipedia

    en.wikipedia.org/wiki/Zero-risk_bias

    Zero-risk bias is based on the way people feel better if a risk is eliminated instead of being merely mitigated. [2] Scientists identified a zero-risk bias in responses to a questionnaire about a hypothetical cleanup scenario involving two hazardous sites X and Y, with X causing 8 cases of cancer annually and Y causing 4 cases annually.

  8. What is loss mitigation? - AOL

    www.aol.com/finance/loss-mitigation-131710263.html

    Loss mitigation is one of many responsibilities your servicer oversees. Ultimately, it’s in the servicer’s best interest to help you repay your mortgage or at least reduce losses for both ...

  9. 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.