Showing 1 - 10 of 28,359
Decision-makers who usually face model/parameter risk may prefer to act prudently by identifying optimal contracts that … solved. Numerical experiments are run for various risk preference choices and it is found that for relatively large sample … the modeler puts on the tail risk when defining its objective function. These findings suggest that one should be very …
Persistent link: https://www.econbiz.de/10012900182
Pareto optimal allocations and optimal risk sharing for coherent or convex risk measures as well as for insurance … applying inf-convolution of risk measures and convex analysis.In the recent literature, an increasing interest has been devoted … to quasiconvex risk measures, that is risk measures where convexity is replaced by quasiconvexity and cash-additivity is …
Persistent link: https://www.econbiz.de/10013060083
We provide results for an efficient analytical valuation of partial moments of the multivariate Gaussian distribution over convex polyhedrons to aid the solution, sensitivity analysis and structural analysis of a large number of two-stage resource acquisition and allocation problems. These...
Persistent link: https://www.econbiz.de/10014184708
We propose a new way to derive tractable robust counterparts of a linear conic optimization problem by using the theory …
Persistent link: https://www.econbiz.de/10014165495
In this paper we propose a new rule to allocate risk capital to portfolios or divisions within a firm. Specifically, we … of portfolios is defined as the expected loss of that set of portfolios in excess of the amount of risk capital allocated …
Persistent link: https://www.econbiz.de/10013135329
In this paper we focus on robust linear optimization problems with uncertainty regions defined by ø-divergences (for example, chi-squared, Hellinger, Kullback-Leibler). We show how uncertainty regions based on ø-divergences arise in a natural way as confidence sets if the uncertain parameters...
Persistent link: https://www.econbiz.de/10013124587
investment periods is the conditional risk mapping approach. The idea is to develop a model in which information from the … optimization problem with rebalancing in a more time-efficient way when coherent risk measures are used. Artzner et al. (1999 …) outlined a set of mathematical properties for a risk measure that reflect the interests of risk-averse investors. Furthermore …
Persistent link: https://www.econbiz.de/10013091376
The mean-variance portfolio optimization theory of Markowitz assumes that stock returns are distributed according to … inherently more risky than stocks with normal pdfs. This paper examines portfolio optimization using the kurtosis as a risk … fluctuations from the mean which is counter-intuitive and contrary to normal practice. It is argued that risk is multidimensional …
Persistent link: https://www.econbiz.de/10013160035
In this paper we propose a new rule to allocate risk capital to portfolios or divisions within a firm. Specifically, we … of portfolios is defined as the expected loss of that set of portfolios in excess of the amount of risk capital allocated …
Persistent link: https://www.econbiz.de/10013127524
assets only, the constrained one, and the presence of a risk-free asset. The use of a generalized form for the budget … - and infer the price of pure risk. Some properties of the several solutions are highlighted. The rationale for a linear …
Persistent link: https://www.econbiz.de/10011526683