Dynamics of state price densities
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Cited by:
- Fengler, Matthias & Hin, Lin-Yee, 2011. "Semi-nonparametric estimation of the call price surface under strike and time-to-expiry no-arbitrage constraints," Economics Working Paper Series 1136, University of St. Gallen, School of Economics and Political Science, revised May 2013.
- Ostap Okhrin & Stefan Trück, 2015. "Editorial to the special issue on Applicable semiparametrics of computational statistics," Computational Statistics, Springer, vol. 30(3), pages 641-646, September.
- Karl Härdle, Wolfgang & López-Cabrera, Brenda & Teng, Huei-Wen, 2015.
"State price densities implied from weather derivatives,"
Insurance: Mathematics and Economics, Elsevier, vol. 64(C), pages 106-125.
- Wolfgang Karl Härdle & Brenda López-Cabrera & Huei-Wen Teng, 2013. "State Price Densities implied from weather derivatives," SFB 649 Discussion Papers SFB649DP2013-026, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Hlavka, Zdenek, 2006. "Fast algorithm for nonparametric arbitrage-free SPD estimation," Computational Statistics & Data Analysis, Elsevier, vol. 51(4), pages 2339-2349, December.
- repec:hal:journl:peer-00834423 is not listed on IDEAS
- Dalderop, Jeroen, 2020. "Nonparametric filtering of conditional state-price densities," Journal of Econometrics, Elsevier, vol. 214(2), pages 295-325.
- Zdenek Hlavka & Michal Pesta, 2006. "Constrained General Regression in Pseudo-Sobolev Spaces with Application to Option Pricing," SFB 649 Discussion Papers SFB649DP2006-069, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Diks, Cees & Panchenko, Valentyn & van Dijk, Dick, 2011.
"Likelihood-based scoring rules for comparing density forecasts in tails,"
Journal of Econometrics, Elsevier, vol. 163(2), pages 215-230, August.
- Cees Diks & Valentyn Panchenko & Dick van Dijk, 2011. "Likelihood-based scoring rules for comparing density forecasts in tails," Post-Print hal-00834423, HAL.
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Keywords
Option pricing State price density Nonlinear least squares Constrained estimation;Statistics
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