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Bounds for the Sum of Dependent Risks and Worst Value-at-Risk with Monotone Marginal Densities
Complete mixability Monotone density Sum of dependent risks Value-at- Risk
2016/1/25
In quantitative risk management, it is important and challenging to find sharp bounds for the distribution of the sum of dependent risks with given marginal distributions, but an unspecified dependenc...
Bounds for the Sum of Dependent Risks and Worst Value-at-Risk with Monotone Marginal Densities
Complete mixability Monotone density Sum of dependent risks Value-at- Risk
2016/1/20
In quantitative risk management, it is important and challenging to find sharp bounds for the distribution of the sum of dependent risks with given marginal distributions, but an unspecified dependenc...
Simultaneous determination of market value and risk premium in the valuation of firms
firm valuation DCF CAPM risk premium transfer pricing
2014/6/24
Valuing a firm using the discounted cash flow method (DCF) requires the joint determination of the market value of its equity (MVE) together with the equity risk premium (ERP) the firm should earn, si...
Multivariate heavy-tailed models for Value-at-Risk estimation
Multivariate heavy-tailed models Value-at-Risk estimation
2010/10/20
For purposes of Value-at-Risk estimation, we consider three multivariate families of heavy-tailed distributions, which can be seen as multidimensional versions of Paretian stable and Student's t distr...
COMPUTING THE PORTFOLLO CONDITIONAL VALUE-AT-RISK IN THE a-STABLE CASE
Stable distributions heavy tails coherent risk measures conditional value-at-risk
2009/9/18
The class of a-stable distributions is an attractive
probabilistic model of asset returns distribution in the field of finance.
When dealing with real issues, such ar optimal portfolio selection, it...
从分析原油现货市场收益率的统计特征入手,为更好地刻画原油现货市场收益率的尖峰厚尾、偏态及波动集聚性和持续性的波动特性,引入 SGT 分布来描述原油市场 价格的分布特征, 利用 SV模型来度量国际原油市场的价格波动率. 同时, 基于 Bayesian 原理,利用 MCMC 方法来解决 SV 模型的参数估计难题, 建立了 Bayesian-SV-SGT模型, 并对国际原油现货价格“VaR”(Value...