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Goal: ISO 31000 Risk Management (RM) recently re-defined risk as the effect of uncertainty on an organization's ability to meet the objectives. Earlier, it defined risk as a combination of the probability and scope of the (predicted) consequences. The revised ISO Risk advances beyond a static...
Persistent link: https://www.econbiz.de/10014256748
suggested by new growth theory, while addressing the variable selection problem by means of Bayesian model averaging …. Controlling for variable selection uncertainty, we confirm the evidence in favor of new growth theory presented in several earlier …
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Uncertainty and certainty of organizational-economic systems are their integral properties. Existence and development of any object in stochastic conditions is not obviously possible without presence of uncertain conditions and the certain factors determining the subsequent conditions of...
Persistent link: https://www.econbiz.de/10013104228
value theory (EVT) followed closely by the filtered historical simulation (FHS) are highly accurate methodologies. In …
Persistent link: https://www.econbiz.de/10013183970
It is well-known that outliers exist in the type of multivariate data used by financial practitioners for portfolio construction and risk management. Typically, outliers are addressed prior to model fitting by applying some combination of trimming and/or Winsorization to each individual...
Persistent link: https://www.econbiz.de/10012946531
condition is a direct extension of the classic theory of James-Stein shrinkage. This discovery suggests the practical rule that …
Persistent link: https://www.econbiz.de/10011757275
Traditional mean variance optimization assumes that future returns and covariances of all the assets in the universe are known exactly. In practice, these input parameters are subject to estimation errors that may render the output of the optimization algorithm essentially useless. Here we...
Persistent link: https://www.econbiz.de/10013157196
indicators in such settings face the problem of insufficient data. Extreme value theory is particularly well suited for handling … this type of problems. This paper uses a multivariate extreme value theory approach to establish thresholds for signaling …
Persistent link: https://www.econbiz.de/10012731377
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