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Financial weather derivatives for corn production in Northeastern China : modelling the underlying weather index
Sun, Baojing - 2017
Persistent link: https://www.econbiz.de/10011646609
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Hedging of crop harvest with derivatives on temperature
Hainaut, Donatien - In: Insurance / Mathematics & economics 84 (2019), pp. 98-114
Persistent link: https://www.econbiz.de/10011990451
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Pricing interest-rate derivatives : a fourier-transform based approach
Bouziane, Markus - 2008
Persistent link: https://www.econbiz.de/10003571605
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On some classes of continuous time series models and their use in financial economics
Surulescu, Nicolae Mircea - 2010
Persistent link: https://www.econbiz.de/10008935502
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Derivative securities and difference methods
Zhu, Youlan; Wu, Xiaonan; Chern, I-Liang - 2004
Persistent link: https://www.econbiz.de/10001857156
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Pricing Interest-Rate Derivatives : A Fourier-Transform Based Approach
Bouziane, Markus (contributor) - 2008
, the development of a IFFT-based pricing algorithm, and a detailed analysis of different jump-diffusion short-rate models. …, the development of a IFFT-based pricing algorithm, and a detailed analysis of different jump-diffusion short-rate models …
Persistent link: https://www.econbiz.de/10013520918
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Bilateral counterparty risk under funding constraints - part II : CVA
Crépey, Stéphane - In: Mathematical finance : an international journal of … 25 (2015) 1, pp. 23-50
Persistent link: https://www.econbiz.de/10011347256
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Bilateral counterparty risk under funding constraints - part I : pricing
Crépey, Stéphane - In: Mathematical finance : an international journal of … 25 (2015) 1, pp. 1-22
Persistent link: https://www.econbiz.de/10011347260
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Applications of Fourier transform to smile modeling : theory and implementation
Zhu, Jianwei - 2010 - 2., ed.
Persistent link: https://www.econbiz.de/10003834547
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Polar sets of anisotropic Gaussian random fields
Söhl, Jakob - 2009
This paper studies polar sets of anisotropic Gaussian random elds, i.e. sets which a Gaussian random eld does not hit almost surely. The main assumptions are that the eigenvalues of the covariance matrix are bounded from below and that the canonical metric associated with the Gaussian random eld...
Persistent link: https://www.econbiz.de/10003905608