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Probability weighting functions implied in options prices

Citations

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Cited by:

  1. Michel Verlaine, 2022. "Behavioral finance and the architecture of the asset management industry," Journal of Economic Surveys, Wiley Blackwell, vol. 36(5), pages 1454-1476, December.
  2. Shi, Yun & Cui, Xiangyu & Zhou, Xunyu, 2020. "Beta and Coskewness Pricing: Perspective from Probability Weighting," SocArXiv 5rqhv, Center for Open Science.
  3. Matthew D. Rablen, 2023. "Loss Aversion, Risk Aversion, and the Shape of the Probability Weighting Function," Working Papers 2023013, The University of Sheffield, Department of Economics.
  4. Maik Dierkes & Jan Krupski & Sebastian Schroen & Philipp Sibbertsen, 2024. "Volatility-dependent probability weighting and the dynamics of the pricing kernel puzzle," Review of Derivatives Research, Springer, vol. 27(1), pages 1-35, April.
  5. Thomas Epper & Helga Fehr-Duda, 2012. "The missing link: unifying risk taking and time discounting," ECON - Working Papers 096, Department of Economics - University of Zurich, revised Oct 2018.
  6. Christoph Frei & Liam Welsh, 2022. "How the Closure of a U.S. Tax Loophole May Affect Investor Portfolios," JRFM, MDPI, vol. 15(5), pages 1-10, May.
  7. Nils Grevenbrock & Max Groneck & Alexander Ludwig & Alexander Zimper, 2021. "Cognition, Optimism, And The Formation Of Age‐Dependent Survival Beliefs," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 62(2), pages 887-918, May.
  8. Ricardo Crisóstomo, 2021. "Estimating real‐world probabilities: A forward‐looking behavioral framework," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(11), pages 1797-1823, November.
  9. Bahaji, Hamza & Casta, Jean-François, 2016. "Employee stock option-implied risk attitude under Rank-Dependent Expected Utility," Economic Modelling, Elsevier, vol. 52(PA), pages 144-154.
  10. Chiu, Junmao & Chen, Chin-Ho, 2023. "Limit order revisions across investor sophistication," Journal of Empirical Finance, Elsevier, vol. 70(C), pages 74-90.
  11. Leonidas S. Rompolis & Elias Tzavalis, 2017. "Retrieving risk neutral moments and expected quadratic variation from option prices," Review of Quantitative Finance and Accounting, Springer, vol. 48(4), pages 955-1002, May.
  12. Koëter, Joren, 2021. "Essays on asset pricing, investor preferences, and derivative markets," Other publications TiSEM 9e88a66e-b972-4af3-91d6-0, Tilburg University, School of Economics and Management.
  13. Akira Yamazaki, 2022. "Recovering subjective probability distributions," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(7), pages 1234-1263, July.
  14. Peter Reinhard Hansen & Chen Tong, 2022. "Option Pricing with Time-Varying Volatility Risk Aversion," Papers 2204.06943, arXiv.org, revised Oct 2022.
  15. Epper, Thomas & Fehr-Duda, Helga, 2017. "A Tale of Two Tails: On the Coexistence of Overweighting and Underweighting of Rare Extreme Events," Economics Working Paper Series 1705, University of St. Gallen, School of Economics and Political Science.
  16. repec:dau:papers:123456789/13098 is not listed on IDEAS
  17. Henderson, Vicky & Hobson, David & Tse, Alex S.L., 2018. "Probability weighting, stop-loss and the disposition effect," Journal of Economic Theory, Elsevier, vol. 178(C), pages 360-397.
  18. Hilmar Gudmundsson & David Vyncke, 2021. "A Generalized Weighted Monte Carlo Calibration Method for Derivative Pricing," Mathematics, MDPI, vol. 9(7), pages 1-22, March.
  19. Horatio Cuesdeanu & Jens Carsten Jackwerth, 2018. "The pricing kernel puzzle: survey and outlook," Annals of Finance, Springer, vol. 14(3), pages 289-329, August.
  20. Xiaoxi Liu & Jinming Xie, 2023. "Forecasting swap rate volatility with information from swaptions," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(4), pages 455-479, April.
  21. Nicholas Barberis & Lawrence J. Jin & Baolian Wang, 2021. "Prospect Theory and Stock Market Anomalies," Journal of Finance, American Finance Association, vol. 76(5), pages 2639-2687, October.
  22. Jozef Baruník & Matěj Nevrla, 2023. "Quantile Spectral Beta: A Tale of Tail Risks, Investment Horizons, and Asset Prices," Journal of Financial Econometrics, Oxford University Press, vol. 21(5), pages 1590-1646.
  23. Ladley, Daniel & Liu, Guanqing & Rockey, James, 2020. "Losing money on the margin," Journal of Economic Behavior & Organization, Elsevier, vol. 172(C), pages 107-136.
  24. Arjun Chatrath & Rohan A. Christie‐David & Hong Miao & Sanjay Ramchander, 2019. "Losers and prospectors in the short‐term options market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(6), pages 721-743, June.
  25. Charles-Cadogan, G., 2021. "Market Instability, Investor Sentiment, And Probability Judgment Error in Index Option Prices," CRETA Online Discussion Paper Series 71, Centre for Research in Economic Theory and its Applications CRETA.
  26. Horatio Cuesdeanu & Jens Carsten Jackwerth, 2018. "The pricing kernel puzzle in forward looking data," Review of Derivatives Research, Springer, vol. 21(3), pages 253-276, October.
  27. Dierkes, Maik & Krupski, Jan & Schroen, Sebastian, 2022. "Option-implied lottery demand and IPO returns," Journal of Economic Dynamics and Control, Elsevier, vol. 138(C).
  28. Chen Tong & Peter Reinhard Hansen & Zhuo Huang, 2022. "Option pricing with state‐dependent pricing kernel," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(8), pages 1409-1433, August.
  29. Cui, Xiangyu & Guan, Zheng, 2022. "On the pricing of expected idiosyncratic skewness," Economics Letters, Elsevier, vol. 216(C).
  30. Jiao, Yuhan & Liu, Qiang & Guo, Shuxin, 2021. "Pricing kernel monotonicity and term structure: Evidence from China," Journal of Banking & Finance, Elsevier, vol. 123(C).
  31. Hu, Wei & Zheng, Zhenlong, 2020. "Expectile CAPM," Economic Modelling, Elsevier, vol. 88(C), pages 386-397.
  32. Hamza Bahaji, 2018. "Are employee stock option exercise decisions better explained through the prospect theory?," Annals of Operations Research, Springer, vol. 262(2), pages 335-359, March.
  33. Meng, Bo & Vijh, Anand M., 2021. "Stock merger activity and industry performance," Journal of Banking & Finance, Elsevier, vol. 129(C).
  34. Chin‐Ho Chen, 2021. "Investor sentiment, misreaction, and the skewness‐return relationship," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(9), pages 1427-1455, September.
  35. Charles-Cadogan, G., 2018. "Probability interference in expected utility theory," Journal of Mathematical Economics, Elsevier, vol. 78(C), pages 163-175.
  36. Godfrey Cadogan, 2014. "Chaos in a Large System of Decision‐Makers with Heterogeneous Beliefs with Application to Index Option Prices," Systems Research and Behavioral Science, Wiley Blackwell, vol. 31(4), pages 487-501, July.
  37. Dierkes, Maik & Germer, Stephan & Sejdiu, Vulnet, 2020. "Probability distortion, asset prices, and economic growth," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 84(C).
  38. Rablen, Matthew D., 2019. "Foundations of the Rank-Dependent Probability Weighting Function," IZA Discussion Papers 12701, Institute of Labor Economics (IZA).
  39. Sun, Lei & Widdicks, Martin, 2016. "Why do employees like to be paid with Options?: A multi-period prospect theory approach," Journal of Corporate Finance, Elsevier, vol. 38(C), pages 106-125.
  40. Martina Nardon & Paolo Pianca, 2019. "European option pricing under cumulative prospect theory with constant relative sensitivity probability weighting functions," Computational Management Science, Springer, vol. 16(1), pages 249-274, February.
  41. Xiaoxi Liu & Jinming Xie, 2023. "Forecasting swap rate volatility with information from swaptions," BIS Working Papers 1068, Bank for International Settlements.
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