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  • We study the ability of artificial neural networks to price the European style call and put options on the S&P 500 index covering the daily data for the period from June 2004 to June 2007. We divide the data set into several categories according to moneyness and time to maturity. We then price all options within the categories. The results show that neural networks outperform benchmark ad hoc Black-Scholes model with significantly lower pricing errors across all categories for both call and put options. Moreover, the differences between ad hoc Black-Scholes and neural networks errors widen with deepness of moneyness or longer time to maturity. We show that neural networks, even without the volatility input, can correct for the Black-Scholes maturity and moneyness bias.
  • We study the ability of artificial neural networks to price the European style call and put options on the S&P 500 index covering the daily data for the period from June 2004 to June 2007. We divide the data set into several categories according to moneyness and time to maturity. We then price all options within the categories. The results show that neural networks outperform benchmark ad hoc Black-Scholes model with significantly lower pricing errors across all categories for both call and put options. Moreover, the differences between ad hoc Black-Scholes and neural networks errors widen with deepness of moneyness or longer time to maturity. We show that neural networks, even without the volatility input, can correct for the Black-Scholes maturity and moneyness bias. (en)
Title
  • Neural Networks as Semiparametric Option Pricing Tool
  • Neural Networks as Semiparametric Option Pricing Tool (en)
skos:prefLabel
  • Neural Networks as Semiparametric Option Pricing Tool
  • Neural Networks as Semiparametric Option Pricing Tool (en)
skos:notation
  • RIV/67985556:_____/11:00367688!RIV12-AV0-67985556
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA402/09/0965), P(GD402/09/H045), S, Z(AV0Z10750506), Z(MSM0021620841)
http://linked.open...iv/cisloPeriodika
  • 28
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 215656
http://linked.open...ai/riv/idVysledku
  • RIV/67985556:_____/11:00367688
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • option valuation; neural network; S&P 500 index options (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • CZ - Česká republika
http://linked.open...ontrolniKodProRIV
  • [D9ED83142BBC]
http://linked.open...i/riv/nazevZdroje
  • Bulletin of the Czech Econometric Society
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 18
http://linked.open...iv/tvurceVysledku
  • Baruník, Jozef
  • Baruníková, M.
http://linked.open...n/vavai/riv/zamer
issn
  • 1212-074X
number of pages
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