Evaluating implied RNDs by some new confidence interval estimation techniques
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Cited by:
- Datta, Deepa Dhume & Londono, Juan M. & Ross, Landon J., 2017.
"Generating options-implied probability densities to understand oil market events,"
Energy Economics, Elsevier, vol. 64(C), pages 440-457.
- Deepa Dhume Datta & Juan M. Londono & Landon J. Ross, 2014. "Generating Options-Implied Probability Densities to Understand Oil Market Events," International Finance Discussion Papers 1122, Board of Governors of the Federal Reserve System (U.S.).
- Jukka Sihvonen & Sami Vähämaa, 2014. "Forward‐Looking Monetary Policy Rules and Option‐Implied Interest Rate Expectations," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 34(4), pages 346-373, April.
- José Renato Haas Ornelas, 2014. "Assessing the Forecast Ability of Risk-Neutral Densities and Real-World Densities from Emerging Markets Currencies," Working Papers Series 370, Central Bank of Brazil, Research Department.
- Salazar Celis, Oliver & Liang, Lingzhi & Lemmens, Damiaan & Tempère, Jacques & Cuyt, Annie, 2015. "Determining and benchmarking risk neutral distributions implied from option prices," Applied Mathematics and Computation, Elsevier, vol. 258(C), pages 372-387.
- Seung Hwan Lee, 2014. "Estimation of risk-neutral measures using quartic B-spline cumulative distribution functions with power tails," Quantitative Finance, Taylor & Francis Journals, vol. 14(10), pages 1857-1879, October.
- Ornelas, José Renato Haas, 2016. "The Forecast Ability of Option-implied Densities from Emerging Markets Currencies," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 36(1), March.
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