A Bayesian View on Autocallable Pricing and Risk Management

Tommaso Paletta, R. Tunaru
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引用次数: 0

Abstract

In this article, some insights are presented on the risks associated with trading autocallable financial products. This class of structured products survived the Lehman Brothers collapse in 2008 and the sovereign crisis of 2011 but was deeply affected by the emergence of the COVID-19 pandemic in 2020. This article highlights the important role played by dividend risk, which was neglected until 2020 in the derivatives literature on equity structured products. The article also emphasizes that both equity volatility uncertainty and dividend uncertainty play a crucial role in pricing and risk-managing autocallables. The article uses the Black-Scholes model in a Bayesian setup, demonstrating how volatility uncertainty affects the estimation of dividend yield and vice versa.
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自动计费定价与风险管理的贝叶斯观点
在本文中,将介绍与交易可自动赎回金融产品相关的风险。这类结构性产品挺过了2008年雷曼兄弟(Lehman Brothers)破产和2011年主权债务危机,但受到2020年新冠肺炎(COVID-19)大流行的深刻影响。本文强调了股息风险在股票结构性产品衍生品文献中直到2020年才被忽视的重要作用。本文还强调,股票波动性的不确定性和股息的不确定性在自动可赎回资产的定价和风险管理中起着至关重要的作用。本文在贝叶斯设置中使用Black-Scholes模型,展示波动性不确定性如何影响股息收益率的估计,反之亦然。
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来源期刊
自引率
0.00%
发文量
11
审稿时长
24 weeks
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