互换投资组合风险管理:不同利率制度下的最优模型选择

Poh Ling Neo, C. W. Tee
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引用次数: 1

摘要

作者制定了一个基于风险的互换投资组合管理框架,以解释损益(P&L)。他们从对冲的角度分析了在定价模型中使用正确的波动率支柱的含义,并证明了将稳定性和鲁棒性措施作为最优模型选择校准过程的一部分的重要性。他们还推导了一个具有封闭形式解析表达式的位移扩散随机波动模型来处理负利率。最后,他们表明,他们的框架能够识别最优定价模型,从而导致卓越的损益解释和对冲绩效。主题:风险管理,投资组合管理/多资产配置,衍生品,基于因素的模型主要发现•一个整体的,基于风险的校准框架允许人们选择具有卓越损益解释性能的最佳定价模型。•具有封闭形式表达式的置换扩散随机波动率模型提供了一种在正利率和负利率制度下有效进行价格互换的方法,同时捕获了波动率主干。•使用Herfindahl指数来衡量对冲业绩的集中度,我们表明最优模型具有模型参数的稳定性和鲁棒性,以及每日损益变动的解释力的经济性。
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Swaption Portfolio Risk Management: Optimal Model Selection in Different Interest Rate Regimes
The authors formulate a risk-based swaption portfolio management framework for a profit-and-loss (P&L) explanation. They analyze the implication of using the right volatility backbone in the pricing model from a hedging perspective and demonstrate the importance of incorporating a stability and robustness measure as part of the calibration process for optimal model selection. They also derive a displaced-diffusion stochastic volatility model with a closed-form analytical expression to handle negative interest rates. Finally, they show that their framework is able to identify the optimal pricing model, which leads to a superior P&L explanation and hedging performance. TOPICS: Risk management, portfolio management/multi-asset allocation, derivatives, factor-based models Key Findings • A holistic, risk-based calibration framework allows one to select the optimal pricing model with superior P&L explanation performance. • A displaced-diffusion stochastic volatility model with closed-form expression provides a means to price swaptions efficiently under both positive and negative interest rate regimes while capturing the volatility backbone. • Using the Herfindahl index to measure the concentration of hedging performance, we show that the optimal model exhibits stability and robustness of model parameters, along with the economy of the explanatory power of daily P&L movement.
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来源期刊
自引率
0.00%
发文量
11
审稿时长
24 weeks
期刊最新文献
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