New Risk Management Study Findings Recently Were Reported by a Researcher at Middle Tennessee State University (Distributed Least-Squares Monte Carlo for American Option Pricing): Insurance – Risk Management

2023 AUG 25 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- A new study on risk management is now available. According to news originating from Murfreesboro, Tennessee, by NewsRx correspondents, research stated, “Option pricing is an important research field in financial markets, and the American option is a common financial derivative.”

Our news journalists obtained a quote from the research from Middle Tennessee State University: “Fast and accurate pricing solutions are critical to the stability and development of the market. Computational techniques, especially the least squares Monte Carlo (LSMC) method, have been broadly used in optimizing the pricing algorithm. This paper discusses the application of distributed computing technology to enhance the LSMC in American option pricing. Although parallel computing has been used to improve the LSMC method, this paper is the first to explore distributed computing technology for LSMC enhancement. Compared with parallel computing, distributed computing has several advantages, including reducing the computational complexity by the “divide and conquer” method, avoiding the complicated matrix transformation, and improving data privacy as well as security. Moreover, LSMC is suitable for distributed computing because the price paths can be simulated and regressed separately.”

According to the news reporters, the research concluded: “This research aims to show how distributed computing, particularly the divide and conquer approach implemented by Apache Spark, can be used to improve the efficiency and accuracy of LSMC in American option pricing. This paper provides an innovative solution to the financial market and could contribute to the advancement of American option pricing research.”

For more information on this research see: Distributed Least-Squares Monte Carlo for American Option Pricing. Risks, 2023,11(8). (Risks - http://www.mdpi.com/journal/risks). The publisher for Risks is MDPI AG.

A free version of this journal article is available at https://doi.org/10.3390/risks11080145.

Our news editors report that additional information may be obtained by contacting Lu Xiong, Department of Mathematical Sciences, College of Basic and Applied Sciences, Middle Tennessee State University, Murfreesboro, TN 37132, United States. Additional authors for this research include Jiyao Luo, Hanna Vise, Madison White.

ORCID is an identifier for authors and includes bibliographic information. The following is ORCID information for the authors of this research: Lu Xiong (http://orcid.org/0000-0003-2471-1256), Jiyao Luo (http://orcid.org/0009-0009-4809-9912).

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