TY  - BOOK
AU  - Londoño,Jaime A.
AU  - Garrido,José
AU  - Jeanblanc,Monique
ED  - SpringerLink (Online service)
TI  - Actuarial Sciences and Quantitative Finance: ICASQF2016, Cartagena, Colombia, June 2016 
T2  - Springer Proceedings in Mathematics & Statistics,
SN  - 9783319665368
AV  - HG8779-8793 
U1  - 368.01 23
PY  - 2017///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Actuarial science
KW  - Economics, Mathematical 
KW  - Statistics 
KW  - Actuarial Sciences
KW  - Quantitative Finance
KW  - Statistics for Business, Management, Economics, Finance, Insurance
N1  - Part I: Actuarial Sciences -- Robust paradigm applied to parameter reduction in actuarial triangle models -- Unlocking reserve assumptions using retrospective analysis -- Spatial Statistical tools to assess mortality differences in Europe -- Stochastic control for insurance: Models, Strategies and Numerics -- Stochastic control for insurance: new problems and methods -- Part II: Quantitative Finance -- Bermudan option valuation under state-department models -- Option-Implied Objective Measures of Market Risk with Leverage -- The Sustainable Black-Scholes Equations -- Author Index; Available to subscribing member institutions only. Доступно лише організаціям членам підписки
N2  - Developed from the Second International Congress on Actuarial Science and Quantitative Finance, this volume showcases the latest progress in all theoretical and empirical aspects of actuarial science and quantitative finance. Held at the Universidad de Cartagena in Cartegena, Colombia in June 2016, the conference emphasized relations between industry and academia and provided a platform for practitioners to discuss problems arising from the financial and insurance industries in the Andean and Caribbean regions. Based on invited lectures as well as carefully selected papers, these proceedings address topics such as statistical techniques in finance and actuarial science, portfolio management, risk theory, derivative valuation and economics of insurance
UR  - https://doi.org/10.1007/978-3-319-66536-8
ER  -