On the dangers of a simplistic American option simulation valuation method

• Type: Article in International Scientific Journal
• Date: 2010

Authors

Areal, N (Author) Other; Rodrigues, Artur (Author) FEP

Journal

Title: European Journal of Finance

Vol. 16

Pages: 373-379

ISSN: 1351-847X

Publisher: Taylor & Francis

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 0 Citations

Other information

Authenticus ID: P-003-AT4

DOI: 10.1080/13518470903314428

Abstract (EN): Chen and Shen [Chen, A.-S., and P.-F. Shen. 2003. Computational complexity analysis of least-squares Monte Carlo (LSM) for pricing US derivatives. Applied Economics Letters 10: 223-9] argue that we can improve the least squares Monte Carlo method (LSMC) to value American options by removing the least squares regression module. This would make it not only faster but also more accurate. We demonstrate, using a large sample of 2500 put options, that the proposed algorithm - the perfect foresight method (PFM) - is, as argued by the authors, faster than the LSMC algorithm but, contrary to what they state, it is not more accurate than the LSMC. In fact, the PFM algorithm incorrectly prices American options. We therefore, do not recommend the use of the PFM.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 7