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Cash flow matching with risks controlled by buffered probability of exceedance and conditional value-at-risk

机译:现金流量与由缓冲的超出概率和有条件的风险价值控制的风险匹配

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摘要

Bond immunization is an important topic in portfolio management. This paper presents a scenario based optimization framework for solving a cash flow matching problem. In this problem, the time horizon of the cash flow generated by the liability is longer than the maturities of the available bonds, and the interest rates are uncertain. Bond purchase decisions are made each period to generate cash flows to cover the obligations due in the future. We use buffered probability of exceedance (bPOE) and conditional value-at-risk (CVaR) to control for the risk of shortfalls. The initial cost of the hedging portfolio of bonds is minimized and optimal positions in bonds are calculated at all time periods. We also study the methodology when solving the optimization problem to minimize bPOE instead of CVaR, which has important practical relevance. The methodology we present in this paper is quite general and can be extended to other financial optimization problems. We use portfolio safeguard optimization package to solve the optimization problems.
机译:债券免疫是投资组合管理中的重要主题。本文提出了一种基于场景的优化框架,用于解决现金流量匹配问题。在此问题中,负债产生的现金流量的时间范围比可用债券的到期时间更长,并且利率不确定。每个时期都会做出债券购买决定,以产生现金流量来偿还未来到期的债务。我们使用缓冲的超出概率(bPOE)和条件风险值(CVaR)来控制短缺风险。将债券对冲投资组合的初始成本降至最低,并在所有时间段内计算债券的最佳头寸。我们还研究了解决优化问题以最小化bPOE而不是CVaR的方法,这具有重要的实际意义。我们在本文中介绍的方法非常笼统,可以扩展到其他财务优化问题。我们使用投资组合保障优化软件包来解决优化问题。

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