Pricing kernel modeling
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References listed on IDEAS
- Ait-Sahalia, Yacine & Lo, Andrew W., 2000.
"Nonparametric risk management and implied risk aversion,"
Journal of Econometrics, Elsevier, vol. 94(1-2), pages 9-51.
- Yacine Ait-Sahalia & Andrew W. Lo, 2000. "Nonparametric Risk Management and Implied Risk Aversion," NBER Working Papers 6130, National Bureau of Economic Research, Inc.
- Yuri Golubev & Wolfgang Härdle & Roman Timofeev, 2014. "Testing monotonicity of pricing kernels," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 98(4), pages 305-326, October.
- Wolfgang Karl Härdle & Yarema Okhrin & Weining Wang, 2015.
"Uniform Confidence Bands for Pricing Kernels,"
Journal of Financial Econometrics, Oxford University Press, vol. 13(2), pages 376-413.
- Härdle, Wolfgang Karl & Okhrin, Yarema & Wang, Weining, 2010. "Uniform confidence bands for pricing kernels," SFB 649 Discussion Papers 2010-003, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
- Beare, Brendan K., 2011. "Measure preserving derivatives and the pricing kernel puzzle," Journal of Mathematical Economics, Elsevier, vol. 47(6), pages 689-697.
- Grith, Maria & Karl Härdle, Wolfgang & Krätschmer, Volker, 2013. "Reference dependent preferences and the EPK puzzle," SFB 649 Discussion Papers 2013-023, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
- Grith, Maria & Härdle, Wolfgang Karl & Park, Juhyun, 2009. "Shape invariant modelling pricing kernels and risk aversion," SFB 649 Discussion Papers 2009-041, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
- Brendan K. Beare & Lawrence D. W. Schmidt, 2016.
"An Empirical Test of Pricing Kernel Monotonicity,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(2), pages 338-356, March.
- Beare, Brendan K. & Schmidt, Lawrence, 2011. "An Empirical Test of Pricing Kernel Monotonicity," University of California at San Diego, Economics Working Paper Series qt5572n8pc, Department of Economics, UC San Diego.
- Black, Fischer & Scholes, Myron S, 1973. "The Pricing of Options and Corporate Liabilities," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 637-654, May-June.
- Maria Grith & Wolfgang Härdle & Juhyun Park, 2013. "Shape Invariant Modeling of Pricing Kernels and Risk Aversion," Journal of Financial Econometrics, Oxford University Press, vol. 11(2), pages 370-399, March.
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- Bünning, Felix & Sangi, Roozbeh & Müller, Dirk, 2017. "A Modelica library for the agent-based control of building energy systems," Applied Energy, Elsevier, vol. 193(C), pages 52-59.
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More about this item
Keywords
Empirical Pricing Kernel; Kernel; Kernel Density Estimation; Nonparametric Fitting; Kullback-Leibler Divergence;All these keywords.
JEL classification:
- C00 - Mathematical and Quantitative Methods - - General - - - General
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ECM-2015-01-26 (Econometrics)
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