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Titlebook: Mathematical and Statistical Methods for Actuarial Sciences and Finance; MAF 2016 Marco Corazza,Florence Legros,Marilena Sibillo Book 2017

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樓主: 削木頭
31#
發(fā)表于 2025-3-27 00:58:35 | 只看該作者
Monica Billio,Maddalena Cavicchioli of our day. Many of us are in pediatric dentistry to be able to better serve these children. When discussing care for children with special health care needs, we must adopt the “People First” language. This means respecting the child or the individual first, and realize that he/she has unique abili
32#
發(fā)表于 2025-3-27 02:00:04 | 只看該作者
https://doi.org/10.1007/978-3-319-50234-2Actuarial sciences; Insurance; Finance; Mathematics; Statistics; quantitative finance
33#
發(fā)表于 2025-3-27 09:08:28 | 只看該作者
Modeling Variance Risk Premium,The bias between the expected realized variance under the historical measure and the risk neutral probability introduces the concept of the variance risk premium (VRP). Our work introduced a probabilistic modeling of the VRP via a parametric class of stochastic volatility models which incorporates the nonlinear class.
34#
發(fā)表于 2025-3-27 10:56:30 | 只看該作者
35#
發(fā)表于 2025-3-27 17:38:38 | 只看該作者
36#
發(fā)表于 2025-3-27 21:45:27 | 只看該作者
37#
發(fā)表于 2025-3-27 23:58:29 | 只看該作者
38#
發(fā)表于 2025-3-28 02:51:19 | 只看該作者
Pilar Abad,Antonio Diaz,Ana Escribano,M. Dolores Robleshe goal of each volume is to give the reader, whether at a university or in industry, a comprehensive overview of an area where new insights are emerging that are of interest to a larger scientific audience. Th978-3-662-52485-5978-3-642-41160-1Series ISSN 0081-5993 Series E-ISSN 1616-8550
39#
發(fā)表于 2025-3-28 10:04:20 | 只看該作者
Projecting Dynamic Life Tables Using Data Cloning,nally, we apply the methodology to a set of linked countries, getting a very satisfactory forecasting, concluding that it can be used in both private insurance companies and public pensions systems in order to forecast mortality and mitigate longevity risk.
40#
發(fā)表于 2025-3-28 12:17:40 | 只看該作者
An Evolutionary Approach to Improve a Simple Trading System,ow lengths. Irrespective of their signs, both in-sample and out-of-sample performances achieved by the TS with optimized parameters are better than those achieved by the benchmark, highlighting that parameter optimization can play an important role in TA-based TSs.
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