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American option valuation using first-passage densities

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  • �scar Guti�rrez

Abstract

This paper explores the advantages of pricing American options using the first-passage density of a Brownian motion to a curved barrier. First, we demonstrate that, under this approach, the exact computation of the optimal boundary becomes secondary. Consequently, a simple approximation to the optimal boundary suffices to obtain accurate prices. Moreover, the first-passage approach tends to give more accurate prices than the early-exercise-premium integral representation . We present two ways of implementing the approach. The first is based on an exact representation of the first-passage density. The second exploits the method of images , which gives us a family of barriers with first-passage densities given in closed form. Both methods are very easy to implement and give accurate prices. In particular, the images-based method is extremely accurate.

Suggested Citation

  • �scar Guti�rrez, 2013. "American option valuation using first-passage densities," Quantitative Finance, Taylor & Francis Journals, vol. 13(11), pages 1831-1843, November.
  • Handle: RePEc:taf:quantf:v:13:y:2013:i:11:p:1831-1843
    DOI: 10.1080/14697688.2013.794387
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    Cited by:

    1. Chinonso Nwankwo & Nneka Umeorah & Tony Ware & Weizhong Dai, 2022. "Deep learning and American options via free boundary framework," Papers 2211.11803, arXiv.org, revised Dec 2022.

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