Add to ORKGWe present invariant sensitivity measures whose results hold for any utility function of the decision-maker
<p>Variables in the model were sampled simultaneously to show the probability that a given strategy ...
Theory has recently shown that corporate policies should depend on firms’ exposure to short- and lon...
In the general framework of a semimartingale financial model and a utility function U defined on the...
We present invariant sensitivity measures whose results hold for any utility function of the decisio...
In evaluating opportunities, investors wish to identify key sources of uncertainty. We propose a ne...
In a quantitative model with uncertain inputs, the uncertainty of the output can be summarized by a ...
Probabilistic sensitivity analysis has previously been described for the special case of dichotomous...
Sensitivity analysis is a general technique for investigating the robustness of the output of a math...
The sensitivities revealed by a sensitivity anal-ysis of a probabilistic network typically depend on...
In a quantitative model with uncertain inputs, the uncertainty of the output can be summarized by a ...
Expectations are important measures of random performances. They are widely used in practice. For in...
Most of the papers in corporate finance use the investment-cash flow sensitivity as a key metric to ...
This paper discusses the sensitivity analysis of valuation equations used in investment decisions. S...
Quantiles play an important role in modelling quality of service in the service industry and in mode...
In the general framework of a semimartingale financial model and a utility function $U$ defined on t...
<p>Variables in the model were sampled simultaneously to show the probability that a given strategy ...
Theory has recently shown that corporate policies should depend on firms’ exposure to short- and lon...
In the general framework of a semimartingale financial model and a utility function U defined on the...
We present invariant sensitivity measures whose results hold for any utility function of the decisio...
In evaluating opportunities, investors wish to identify key sources of uncertainty. We propose a ne...
In a quantitative model with uncertain inputs, the uncertainty of the output can be summarized by a ...
Probabilistic sensitivity analysis has previously been described for the special case of dichotomous...
Sensitivity analysis is a general technique for investigating the robustness of the output of a math...
The sensitivities revealed by a sensitivity anal-ysis of a probabilistic network typically depend on...
In a quantitative model with uncertain inputs, the uncertainty of the output can be summarized by a ...
Expectations are important measures of random performances. They are widely used in practice. For in...
Most of the papers in corporate finance use the investment-cash flow sensitivity as a key metric to ...
This paper discusses the sensitivity analysis of valuation equations used in investment decisions. S...
Quantiles play an important role in modelling quality of service in the service industry and in mode...
In the general framework of a semimartingale financial model and a utility function $U$ defined on t...
<p>Variables in the model were sampled simultaneously to show the probability that a given strategy ...
Theory has recently shown that corporate policies should depend on firms’ exposure to short- and lon...
In the general framework of a semimartingale financial model and a utility function U defined on the...