Semi closed-form pricing autocallable ELS using Brownian Bridge

IF 0.6 Q4 STATISTICS & PROBABILITY
Minha Lee, Jimin Hong
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引用次数: 2

Abstract

This paper discusses the pricing of autocallable structured product with knock-in (KI) feature using the exit probability with the Brownian Bridge technique. The explicit pricing formula of autocallable ELS derived in the existing paper handles the part including the minimum of the Brownian motion using the inclusion-exclusion principle. This has the disadvantage that the pricing formula is complicate because of the probability with minimum value and the computational volume increases dramatically as the number of autocall chances increases. To solve this problem, we applied an e ffi cient and robust simulation method called the Brownian Bridge technique, which provides the probability of touching the predetermined barrier when the initial and terminal values of the process following the Brownian motion in a certain interval are specified. We rewrite the existing pricing formula and provide a brief theoretical background and computational algorithm for the technique. We also provide several numerical examples computed in three di ff erent ways: explicit pricing formula, the Crude Monte Carlo simulation method and the Brownian Bridge technique.
利用布朗桥对可自动调用的ELS进行半封闭式定价
本文利用退出概率和Brownian Bridge技术讨论了具有引入(KI)特征的可自调用结构产品的定价问题。现有文献中导出的可自收费ELS的显式定价公式利用包含-排除原理处理了包含布朗运动极小值的部分。这具有的缺点是,由于具有最小值的概率,定价公式是复杂的,并且计算量随着自动调用机会的数量增加而急剧增加。为了解决这个问题,我们应用了一种称为布朗桥技术的有效而稳健的模拟方法,该方法提供了在特定区间内布朗运动后过程的初始值和最终值被指定时接触预定屏障的概率。我们改写了现有的定价公式,并为该技术提供了简要的理论背景和计算算法。我们还提供了几个以三种不同方式计算的数值例子:显式定价公式、粗蒙特卡罗模拟方法和布朗桥技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
0.90
自引率
0.00%
发文量
49
期刊介绍: Communications for Statistical Applications and Methods (Commun. Stat. Appl. Methods, CSAM) is an official journal of the Korean Statistical Society and Korean International Statistical Society. It is an international and Open Access journal dedicated to publishing peer-reviewed, high quality and innovative statistical research. CSAM publishes articles on applied and methodological research in the areas of statistics and probability. It features rapid publication and broad coverage of statistical applications and methods. It welcomes papers on novel applications of statistical methodology in the areas including medicine (pharmaceutical, biotechnology, medical device), business, management, economics, ecology, education, computing, engineering, operational research, biology, sociology and earth science, but papers from other areas are also considered.
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