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Titlebook: Mathematical and Statistical Methods for Insurance and Finance; Cira Perna,Marilena Sibillo Conference proceedings 2008 Springer-Verlag Mi

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Diana Barro,Elio Canestrelli,Pierangelo Ciurlia in the field.This book is a tribute to early pioneers and later innovators in applications of surgical principles for biliary stone disease. It is written as a challenge to all surgeons applying these principles to approach the biliary system with the safest and most appropriate technical support.
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Mariarosaria Coppola,Valeria D’Amato,Marilena Sibilloiatives may be better targeted. To that end, this chapter proposes that conflict assessments, the diagnostic tool used by intervening NGOs, international organisations and development-minded third party governments to analyse conflicts, are modified and extended to post-peace accord scenarios. To a
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Least Squares Predictors for Threshold Models: Properties and Forecast Evaluation,from these models are presented and, in particular, least squares, plug-in and combined predictors are pointed out. The performance of the proposed predictors are investigated using simulated and empirical examples that give evidence in favor of the forecasts combination.
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Estimating Portfolio Conditional Returns Distribution Through Style Analysis Models,erent point of view on the style analysis problem as it allows the extraction of information at different parts of the portfolio returns distribution. Moreover, the quantile regression results are useful in order to estimate the portfolio conditional returns distribution.
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A Full Monte Carlo Approach to the Valuation of the Surrender Option Embedded in Life Insurance Cons to the case of life insurance contracts. These contracts, in fact, often embed an American-style option, called surrender option, that entitles its owner to terminate early the contract and receive a cash amount, called surrender value. The additional complication arising in life insurance policie
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Spatial Aggregation in Scenario Tree Reduction,y scenario tree construction. There is a trade-off between the level of accuracy in the description of the stochastic component and the computational tractability of the resulting scenario-based problem. In order to face such a trade-off which plays a crucial role in the determination of the optimal
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Scaling Laws in Stock Markets. An Analysis of Prices and Volumes,of particular moments such as variance or higher absolute moments, is replaced by a new technique which allows the estimation of the self-similarity parameter on the whole empirical distribution designed by any time horizon. In this way, the method we propose attaches its own scaling parameter to an
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