Pricing and hedging derivative securities with neural networks and a homogeneity hint

From MaRDI portal
Publication:1969815

DOI10.1016/S0304-4076(99)00018-4zbMath0942.62130WikidataQ128132037 ScholiaQ128132037MaRDI QIDQ1969815

Ramazan Gençay, René Garcia

Publication date: 21 August 2000

Published in: Journal of Econometrics (Search for Journal in Brave)



Lua error in Module:PublicationMSCList at line 37: attempt to index local 'msc_result' (a nil value).


Related Items (21)

Nonparametric state price density estimation using constrained least squares and the bootstrapBrexit and foreign exchange market expectations: could it have been predicted?Robust artificial neural networks for pricing of European optionsLearning minimum variance discrete hedging directly from the marketIDENTIFIABILITY OF RECURRENT NEURAL NETWORKSShape constrained risk-neutral density estimation by support vector regressionFunctional linear regression with functional responseNonparametric option pricing under shape restrictionsEstimation of risk-neutral densities using positive convolution approximationCan a Machine Correct Option Pricing Models?Multi-criteria classification for pricing European optionsPricing and trading European options by combining artificial neural networks and parametric models with implied parametersStatic versus dynamic hedges: an empirical comparison for barrier optionsA data and digital-contracts driven method for pricing complex derivativesWavelet-based option pricing: an empirical studyTesting forecast accuracy of foreign exchange rates: Predictions from feed forward and various recurrent neural network architecturesSemi-parametric estimation of American option pricesAn investigation of model selection criteria for neural network time series forecastingRevealing the implied risk-neutral MGF from options: the wavelet methodOption valuation under no-arbitrage constraints with neural networksUsing genetic algorithms to select architecture of a feedforward artificial neural network




This page was built for publication: Pricing and hedging derivative securities with neural networks and a homogeneity hint