2017
DOI: 10.1080/14697688.2017.1322218
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Dividend derivatives

Abstract: The version in the Kent Academic Repository may differ from the final published version. Users are advised to check http://kar.kent.ac.uk for the status of the paper. Users should always cite the published version of record.

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Cited by 11 publications
(9 citation statements)
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“…Their model guarantees a perfect fit to observed option prices, however all pricing is based on Monte Carlo simulations. Tunaru (2018) proposes two different models to value dividend derivatives. The first model is similar to the one of Buehler et al.…”
Section: Introductionmentioning
confidence: 99%
“…Their model guarantees a perfect fit to observed option prices, however all pricing is based on Monte Carlo simulations. Tunaru (2018) proposes two different models to value dividend derivatives. The first model is similar to the one of Buehler et al.…”
Section: Introductionmentioning
confidence: 99%
“…Smoothing the dividends through a negative correlation between stock price and the jump amplitudes, as in Buehler et al (2010), is therefore not possible. In a second approach, Tunaru (2018) directly models the cumulative dividends with a logistic diffusion model. The latter has however no guarantee to be monotonically increasing, meaning that negative dividends occur frequently.…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, the model must be reset on an annual basis. Option pricing is done using Monte-Carlo simulation for both methods in Tunaru (2018). Buehler (2018) decomposes the stock price as the sum of a fundamental component, representing the present value of all future dividends, and a residual bubble component.…”
Section: Introductionmentioning
confidence: 99%
“…Their model guarantees a perfect fit to observed option prices, however all pricing is based on Monte-Carlo simulations. Tunaru (2018) proposes two different models to value dividend derivatives. The first model is similar to the one of Buehler et al (2010), with the key difference that Z is modeled with a beta distribution instead of a log-normal.…”
Section: Introductionmentioning
confidence: 99%
“…The model is able to produce a skew in dividend option prices, but Monte-Carlo simulations are required for the computation. In a second approach, Tunaru (2018) directly models the cumulative dividends with a diffusive logistic growth model. This modeling choice is motivated by the 'sigmoidal' shape of the time-series of cumulative Euro Stoxx 50 dividends.…”
Section: Introductionmentioning
confidence: 99%