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When he turned his attention to the question of valuing annuities payable on more than one life, de Moivre found it convenient to drop his assumption of an equal number of deaths (per year) in favor of an assumption of equal probabilities of death at each year of age (i.e., what is now called the "constant force of mortality" assumption ...
This topic is called reliability theory, reliability analysis or reliability engineering in engineering, duration analysis or duration modelling in economics, and event history analysis in sociology. Survival analysis attempts to answer certain questions, such as what is the proportion of a population which will survive past a certain time?
In finance, survivorship bias is the tendency for failed companies to be excluded from performance studies because they no longer exist. It often causes the results of studies to skew higher because only companies that were successful enough to survive until the end of the period are included.
Financial risk management is the practice of protecting economic value in a firm by managing exposure to financial risk - principally credit risk and market risk, with more specific variants as listed aside - as well as some aspects of operational risk.
The survival function is also known as the survivor function [2] or reliability function. [3] The term reliability function is common in engineering while the term survival function is used in a broader range of applications, including human mortality. The survival function is the complementary cumulative distribution function of the lifetime ...
Risk pooling is an important concept in supply chain management. [2] Risk pooling suggests that demand variability is reduced if one aggregates demand across locations because as demand is aggregated across different locations, it becomes more likely that high demand from one customer will be offset by low demand from another.
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Death spiral is a condition where the structure of insurance plans leads to premiums rapidly increasing as a result of changes in the covered population. It is the result of adverse selection in insurance policies in which lower risk policy holders choose to change policies or be uninsured. The result is that costs supposedly covered by ...