Certificate pricing using Discrete Event Simulations and System Dynamics theory

P. Giribone, R. Revetria, Banca Carige
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引用次数: 2

Abstract

The study proposes an innovative application of Discrete Event Simulations (DES) and System Dynamics (SD) theory to the pricing of a certain kind of certificates very popular among private investors and, more generally, in the context of wealth management. The paper shows how numerical simulation software mainly used in traditional engineering, such as industrial and mechanical engineering, can be successfully adapted to the risk analysis of structured financial products. The article can be divided into three macro-sections: in the first part a synthetic overview of the most widespread option pricing models in the quantitative finance branch is given to the readers together with the fundamental technical-instrumental background of the implemented DES and SD simulator. After dealing with some of the most popular models adopted for Equity and Equity index options, which are the most common underlying assets for the certificates structuring, we move, in the second part, to describe how the mathematical models can be integrated into a general simulation environment able to provide both DES and SD extensively used in the engineering field. The core stochastic differential equation (SDE) will therefore be translated, together with all its input parameters, into a visual block model which allows an immediate quantitative analysis of how market parameters and the other model variables can change over time. The possibility for the structurer to observe how the variables evolve day-by-day gives a strong sensitivity to evaluate how the price and the associated risk measures can be directly affected. The third part of the study compares the results obtained from the simulator designed by the authors with the more traditional pricing approaches, which consist in programming Matlab® codes for the numerical integration of the core stochastic dynamics through a Euler-Maruyama scheme. The comparison includes a price check using the Bloomberg® DLIB pricing module and a check directly against the valuation provided by the counterparty. In this section, real market cases will therefore be examined with a complete quantitative analysis of two of the most widespread categories of certificates in wealth management: Multi-asset Barrier Reverse Convertible with Issuer Callability and Multi-asset Express Certificate with conditional memory fixed coupon.
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使用离散事件模拟和系统动力学理论的证书定价
该研究提出了离散事件模拟(DES)和系统动力学(SD)理论在私人投资者中非常流行的某种证书定价中的创新应用,更广泛地说,在财富管理的背景下。本文展示了如何将主要用于传统工程(如工业工程和机械工程)的数值模拟软件成功地应用于结构性金融产品的风险分析。本文可分为三个宏观部分:第一部分对定量金融分支中最广泛的期权定价模型进行了综合概述,并介绍了所实现的DES和SD模拟器的基本技术工具背景。在讨论了股票和股票指数期权(它们是证书结构中最常见的基础资产)所采用的一些最流行的模型之后,我们将在第二部分中描述如何将数学模型集成到能够提供在工程领域广泛使用的DES和SD的通用仿真环境中。因此,核心随机微分方程(SDE)及其所有输入参数将被转换为可视化块模型,该模型允许对市场参数和其他模型变量如何随时间变化进行即时定量分析。结构者观察变量如何逐日演变的可能性,为评估价格和相关风险措施如何受到直接影响提供了很强的敏感性。研究的第三部分将作者设计的模拟器获得的结果与更传统的定价方法进行了比较,后者包括通过Euler-Maruyama格式为核心随机动力学的数值积分编写Matlab®代码。比较包括使用Bloomberg®DLIB定价模块进行价格检查,并直接对交易对手提供的估值进行检查。因此,在本节中,真实的市场案例将通过对财富管理中两种最广泛的证书类别的完整定量分析进行审查:具有发行人可赎回性的多资产障碍反向可转换证书和具有条件记忆固定息票的多资产快速证书。
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