Title of article :
Barrier option pricing: modelling with neural nets
Author/Authors :
L. Xu، نويسنده , , M. Dixon، نويسنده , , B.A. Eales، نويسنده , , F.F. Cai، نويسنده , , B.J. Read، نويسنده , , J.V. Healy، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2004
Pages :
5
From page :
289
To page :
293
Abstract :
We report call option pricing for up-and-out style barrier options through the use of a neural net model. A synthetic data set was constructed from the real LIFFE standard option price data by use of the Rubenstein and Reiner analytic model (Risk September (1991) 28). Unbiased estimates at the 95% confidence level were achieved for realistic barriers (barrier 4% or more above max(S0,X)).
Journal title :
Physica A Statistical Mechanics and its Applications
Serial Year :
2004
Journal title :
Physica A Statistical Mechanics and its Applications
Record number :
869738
Link To Document :
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