An efficient hybrid penalty method for pricing American options

Hongjoong Kim, Taeyoung Oh, Kyoung Sook Moon

    Research output: Contribution to journalArticlepeer-review

    Abstract

    We propose a hybrid numerical method for computing the prices of American options. In order to solve efficiently and accurately the linear complementarity problem arising in the valuation of American options, the proposed method initially applies the penalty method to annihilate the nonlinear error from the free boundary, then performs the θ-method with projection to solve the rest of the problem quickly. Numerical computations show that the proposed hybrid method is more efficient than other existing methods for a given level of accuracy.

    Original languageEnglish
    Pages (from-to)224-233
    Number of pages10
    JournalIndustrial Engineering and Management Systems
    Volume16
    Issue number2
    DOIs
    Publication statusPublished - 2017 Jun

    Bibliographical note

    Funding Information:
    This work was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by Ministry of education (NRF-2014R1A1A2058271); and by the Gachon University research fund of 2016.

    Publisher Copyright:
    © 2017 KIIE.

    Keywords

    • American option pricing
    • Hybrid method
    • Linear complementarity problem
    • Penalty method

    ASJC Scopus subject areas

    • General Social Sciences
    • Economics, Econometrics and Finance(all)

    Fingerprint

    Dive into the research topics of 'An efficient hybrid penalty method for pricing American options'. Together they form a unique fingerprint.

    Cite this