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Constrained General Regression in Pseudo-Sobolev Spaces with Application to Option Pricing Author info | Abstract | Publisher info | Download info | Related research | Statistics Zdenek Hlavka
Michal Pesta
State price density (SPD) contains important information concerning market expectations. In existing literature, a constrained estimator of the SPD is found by nonlinear least squares in a suitable Sobolev space. We improve the behavior of this estimator by implementing a covariance structure taking into account the time of the trade and by considering simultaneously both the observed Put and Call option prices.
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Paper provided by Sonderforschungsbereich 649, Humboldt University, Berlin, Germany in its series SFB 649 Discussion Papers with number
SFB649DP2006-069.
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Length: 50 pages
Date of creation: Sep 2006Date of revision:
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Keywords: isotonic regression ; Sobolev spaces ; monotonicity ; multiple observations ; covariance structure ; option price ; Other versions of this item:
Find related papers by JEL classification: C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - General C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Estimation C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Semiparametric and Nonparametric Methods C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
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