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Volumn 14, Issue 4, 2004, Pages 2090-2119

Number of paths versus number of basis functions in American option pricing

Author keywords

Dynamic programming; Finance; Monte Carlo methods; Optimal stopping; Orthogonal polynomials

Indexed keywords


EID: 24144443623     PISSN: 10505164     EISSN: 10505164     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (112)

References (19)
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    • A stochastic mesh method for pricing high-dimensional American options
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    • Broadie, M.1    Glasserman, P.2
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    • An analysis of a least squares regression algorithm for American option pricing
    • CLÉMENT, E., LAMBERTON, D. and PROTTER, P. (2002). An analysis of a least squares regression algorithm for American option pricing. Finance Stoch. 6 449-471.
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    • Clément, E.1    Lamberton, D.2    Protter, P.3
  • 7
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    • Monte Carlo algorithms for optimal stopping and statistical learning
    • Zürich Kantonalbank, Zürich, Switzerland
    • EGLOFF, D. (2003). Monte Carlo algorithms for optimal stopping and statistical learning. Working paper, Zürich Kantonalbank, Zürich, Switzerland.
    • (2003) Working Paper
    • Egloff, D.1
  • 9
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    • Pricing American options: A duality approach
    • To appear
    • HAUGH, M. and KOGAN, L. (2004). Pricing American options: A duality approach. Oper. Res. To appear.
    • (2004) Oper. Res.
    • Haugh, M.1    Kogan, L.2
  • 11
    • 0035578679 scopus 로고    scopus 로고
    • Valuing American options by simulation: A simple least-squares approach
    • LONGSTAFF, F. A. and SCHWARTZ, E. S. (2001). Valuing American options by simulation: A simple least-squares approach. Review of Financial Studies 14 113-147.
    • (2001) Review of Financial Studies , vol.14 , pp. 113-147
    • Longstaff, F.A.1    Schwartz, E.S.2
  • 14
    • 0034407706 scopus 로고    scopus 로고
    • Assessing linearity in high dimensions
    • OWEN, A. B. (2000). Assessing linearity in high dimensions. Ann. Statist. 28 1-19.
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  • 16
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    • Monte Carlo valuation of American options
    • ROGERS, L. C. G. (2002). Monte Carlo valuation of American options. Math. Finance 12 271-286.
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  • 17
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    • Optimal stopping of Markov processes: Hilbert space theory, approximation algorithms, and an application to pricing high-dimensional financial derivatives
    • TSITSIKLIS, J. and VAN ROY, B. (1999). Optimal stopping of Markov processes: Hilbert space theory, approximation algorithms, and an application to pricing high-dimensional financial derivatives. IEEE Trans. Automat. Control 44 1840-1851.
    • (1999) IEEE Trans. Automat. Control , vol.44 , pp. 1840-1851
    • Tsitsiklis, J.1    Van Roy, B.2
  • 18
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    • Regression methods for pricing complex American-style options
    • TSITSIKLIS, J. and VAN ROY, B. (2001). Regression methods for pricing complex American-style options. IEEE Transactions on Neural Networks 12 694-703.
    • (2001) IEEE Transactions on Neural Networks , vol.12 , pp. 694-703
    • Tsitsiklis, J.1    Van Roy, B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.