On the dangers of a simplistic American option simulation valuation method

• Tipo: Artigo em Revista Científica Internacional
• Data: 2010

Autores

Areal, N (Autor) Outra; Rodrigues, Artur (Autor) FEP

Revista

Título: European Journal of Finance

Vol. 16

Páginas: 373-379

ISSN: 1351-847X

Editora: Taylor & Francis

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 0 Citações

Outras Informações

ID Authenticus: 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 7