Applications of Stochastic Optimization in Finance and Insurance

随机优化在金融和保险中的应用

• 批准号: RGPIN-2017-04220
• 负责人: Saunders, David
• 金额: $ 1.75万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=664343
• 关键词: Applications; Stochastic; Optimization; Finance; Insurance

The principal theme of the research program outlined in this proposal is the application of mathematical methods from probability and optimization to problems of decision making under uncertainty in insurance and finance. The program is designed to have development flow in both directions, as applications of mathematical techniques make contributions to real-world problems faced in industry, and novel industrial challenges provoke mathematical questions that may lead to new theoretical developments. Three main topics dominate the research program. These are: i) hybrid pension structures and their valuation, hedging and management, ii) the structure of fee agreements for asset management and the incentives that they create, and iii) the development of the mathematics of stress testing in financial institutions.******Hybrid pension structures have become increasingly popular as industrial pension funds have shifted from defined benefit to defined contribution arrangements. Topics pursued in this research program will include the valuation and hedging of the committed benefits of the plan sponsor, the impact of the plan sponsor's creditworthiness on the value of pension benefits, the incentives created by different plan structures for both employees and plan sponsors, and issues of intergenerational fairness within plan management. ******Recently, a number of novel contract structures have been proposed that have sought to overcome some of the perceived shortcomings of traditional asset management relationships. Examples include first loss fee structures in hedge fund management agreements, and the fees that have been proposed for participating contracts and variable annuities offered by insurers. This research program will pursue the study of the structure of such contracts, analyzing the impact of contract structure on the decisions and welfare of both parties. ******The failures of quantitative risk management before and during the global financial crisis are well known. Traditionally, statistical measures of risk based on historical data have been supplemented by the evaluation of portfolio losses under extreme scenarios, in a process commonly referred to as stress testing. Stress scenarios have often been subjective and ad hoc, and have been plagued by the difficulties of meeting the competing goals of being sufficiently extreme to provide a true test of portfolio resilience, and plausible enough so that decision makers will take the test results seriously. The third topic of research in this program will be the development of quantitative methods for generating stress scenarios. The research will address the problem of generating marginal scenarios for internal stress testing purposes, and the problem of generating conditional distributions of portfolio risk factors given economic scenarios specified externally, for example by the institution's economists or regulators. *****

这项建议中概述的研究计划的主要主题是将概率和最优化的数学方法应用于保险和金融中不确定的决策问题。该项目旨在双向发展，因为数学技术的应用有助于解决工业中面临的现实世界问题，而新的工业挑战引发的数学问题可能会导致新的理论发展。这项研究计划主要涉及三个主题。它们是：i)混合型养老金结构及其估值、对冲和管理，ii)资产管理收费协议的结构及其创造的激励，以及iii)金融机构压力测试数学的发展。*随着行业养老基金从固定收益转向固定缴费安排，混合型养老金结构已变得越来越受欢迎。本研究计划所追求的主题将包括对计划发起人承诺福利的估值和对冲、计划发起人信誉对养老金福利价值的影响、不同计划结构为员工和计划发起人创造的激励，以及计划管理中的代际公平问题。*最近，一些新的合同结构被提出，试图克服传统资产管理关系的一些公认缺点。例子包括对冲基金管理协议中的首次损失费用结构，以及针对保险公司提供的参与合同和可变年金提出的费用。本研究项目将继续研究这类合同的结构，分析合同结构对双方决策和福利的影响。*全球金融危机之前和期间量化风险管理的失败是众所周知的。传统上，基于历史数据的风险统计衡量方法得到了极端情况下投资组合损失评估的补充，这一过程通常被称为压力测试。压力情景往往是主观和临时的，并受到难以实现相互竞争的目标的困扰，这些目标既要足够极端，以提供对投资组合韧性的真正测试，又要足够可信，以便决策者认真对待测试结果。该项目的第三个研究主题将是开发产生压力情景的量化方法。这项研究将解决为内部压力测试目的生成边际情景的问题，以及在给定外部经济情景(例如由该机构的经济学家或监管机构指定)的情况下生成投资组合风险因素的条件分布的问题。*****