1996
DOI: 10.1002/(sici)1096-9934(199608)16:5<545::aid-fut3>3.0.co;2-g
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Recovering probabilistic information from option markets: Tests of distributional assumptions

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Cited by 65 publications
(15 citation statements)
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“…Johnson [1949] proposes translating normal distributions through logarithmic and hyperbolic sine transformations while adding two additional parameters. Sherrick, Garcia, and Tirupattur [1995] use the Burr III distribution on a data set of options on soybean futures. Sherrick, Irwin, andForster [1992 and use the Burr XII distribution on S&P 500 futures options.…”
Section: Parametric Methodsmentioning
confidence: 99%
“…Johnson [1949] proposes translating normal distributions through logarithmic and hyperbolic sine transformations while adding two additional parameters. Sherrick, Garcia, and Tirupattur [1995] use the Burr III distribution on a data set of options on soybean futures. Sherrick, Irwin, andForster [1992 and use the Burr XII distribution on S&P 500 futures options.…”
Section: Parametric Methodsmentioning
confidence: 99%
“…Chiarell [17] used the work of Fourier-Hermite to assess the EU and US share options. Bahra [18] and Sherrick et al [19] introduced a nonparametric method to evaluate European options. These authors presented the risk neutral density as a linear combination of log-normal densities.…”
Section: Risk Neutral Densitymentioning
confidence: 99%
“…These distributions have been used primarily for statistical modeling of events arising in a variety of applied mathematical contexts. Some examples of such applications include modeling events associated with forestry (Gove et al, 2008;Lindsay et al, 1996), fracture roughness (Nadarajah and Kotz, 2006Kotz, , 2007, life testing (Wingo, 1983(Wingo, , 1993, operational risk (Chernobai et al, 2007), option market price distributions (Sherrick et al, 1996), meteorology (Mielke, 1973), modeling crop prices (Tejeda and Goodwin, 2008), software reliability growth (Abdel-Ghaly et al, 1997), reliability analysis (Mokhlis, 2005), and in the context of Monte Carlo simulation studies Pant and Headrick, 2013).…”
Section: Introductionmentioning
confidence: 99%