相关实验视频
Updated: Jul 20, 2025

05:37
An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
2.1K
非人寿保险的最低资本要求和投资组合分配:具有条件风险值 (CVaR) 约束的半参数模型
Alessandro Staino1, Emilio Russo1, Massimo Costabile1
1Department of Economics, Statistics and Finance, University of Calabria, Ponte Bucci cubo 1C, 87036 Rende (CS), Italy.
概括
本研究优化了非人寿保险公司使用有条件风险值 (CVaR) 约束的最低资本. 结果显示,负债分配对资本需求和最佳投资组合构成有重大影响.
科学领域:
- 精算科学 精算科学
- 金融数学 金融数学
- 风险管理 风险管理
背景情况:
- 非生命保险公司需要对资产负债能力和稳定性进行严格的资本评估.
- 条件风险值 (CVaR) 是量化金融风险的一个关键指标.
- 投资组合优化对于平衡风险和回报至关重要.
研究的目的:
- 制定和解决一个优化问题,以确定非人寿保险公司的最低资本要求.
- 分析责任分配对资本要求和投资组合选择的影响.
- 通过施加CVaR和投资组合绩效约束来确保偿付能力.
主要方法:
- 制定一个半参数优化问题,将CVaR和投资组合性能约束纳入其中.
- 对可整合的负债分配问题的凸度的证明.
- 应用凯利-切尼-戈尔德斯坦算法来解决优化问题.
- 使用lognormal,gamma和Erlang责任分布的混合体进行实证分析.
主要成果:
- 优化问题是凸的,CVaR约束函数对于连续负债分布是连续可微分的.
- 凯利-切尼-戈尔德斯坦算法对半参数公式进行了收.
- 选择负债分配方式显著影响资本要求和最佳资产配置.
- 混合的Erlang分配更好地代表负债的右尾,导致更高的资本需求.
结论:
- 开发的优化框架有效地确定了在CVaR约束下的最低资本要求.
- 责任分配是保险资本管理和投资组合战略的关键因素.
- 这些发现强调了选择适当的分配对于准确的风险评估和最佳投资组合构建的重要性.
相关概念视频
Actuarial Approach
97
The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
97
Parametric Survival Analysis: Weibull and Exponential Methods
476
Parametric survival analysis models survival data by assuming a specific probability distribution for the time until an event occurs. The Weibull and exponential distributions are two of the most commonly used methods in this context, due to their versatility and relatively straightforward application.
Weibull Distribution
The Weibull distribution is a flexible model used in parametric survival analysis. It can handle both increasing and decreasing hazard rates, depending on its shape parameter...
Weibull Distribution
The Weibull distribution is a flexible model used in parametric survival analysis. It can handle both increasing and decreasing hazard rates, depending on its shape parameter...
476
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
81
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
81
Clearance Models: Noncompartmental Models
79
Clearance is a pharmacokinetic parameter traditionally defined by compartment models, signifying the rate at which a drug is expelled from the body. However, a noncompartmental model offers an alternative method for assessing clearance, primarily employing empirical data obtained after administering a single drug dose.
The noncompartmental approach capitalizes on extensive sampling data, correlating the volume of distribution to systemic exposure and the administered dosage. This method enables...
The noncompartmental approach capitalizes on extensive sampling data, correlating the volume of distribution to systemic exposure and the administered dosage. This method enables...
79
Assumptions of Survival Analysis
156
Survival models analyze the time until one or more events occur, such as death in biological organisms or failure in mechanical systems. These models are widely used across fields like medicine, biology, engineering, and public health to study time-to-event phenomena. To ensure accurate results, survival analysis relies on key assumptions and careful study design.
156
Pharmacokinetic Models: Comparison and Selection Criterion
106
Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
106

