TY  - BOOK
AU  - Corazza,Marco
AU  - Legros,Florence
AU  - Perna,Cira
AU  - Sibillo,Marilena
ED  - SpringerLink (Online service)
TI  - Mathematical and Statistical Methods for Actuarial Sciences and Finance : MAF 2016 
SN  - 9783319502342
AV  - HG8779-8793 
U1  - 368.01 
PY  - 2017///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Actuarial science
KW  - Economics, Mathematical 
KW  - Statistics 
KW  - Macroeconomics
KW  - Finance
KW  - Actuarial Sciences
KW  - Quantitative Finance
KW  - Statistics for Business, Management, Economics, Finance, Insurance
KW  - Macroeconomics/Monetary Economics//Financial Economics
KW  - Finance, general
N1  - 1 The effects of credit rating announcements on bond liquidity: An event study -- 2 The effect of credit rating events on the emerging CDS market -- 3 A generalised linear model approach to predict the result of research evaluation -- 4 Projecting dynamic life tables using Data Cloning -- 5 Markov switching GARCH models: Filtering, approximations and duality -- 6 A network approach to risk theory and portfolio selection -- 7 A PSO-based approach for improving simple trading systems -- 8 Provisions for outstanding claims with distance-based generalized linear models -- 9 Profitability vs. attractiveness within a performance analysis of a life annuity business -- 10 Uncertainty in historical Value-at-Risk: an alternative quantile-based risk measure -- 11 Modeling volatility risk premium -- 12 Covered call writing and framing: A cumulative prospect theory approach -- 13 Optimal portfolio selection for an investor with asymmetric attitude to gains and losses
N2  - This volume gathers selected peer-reviewed papers presented at the international conference "MAF 2016 - Mathematical and Statistical Methods for Actuarial Sciences and Finance", held in Paris (France) at the Université Paris-Dauphine from March 30 to April 1, 2016. The contributions highlight new ideas on mathematical and statistical methods in actuarial sciences and finance. The cooperation between mathematicians and statisticians working in insurance and finance is a very fruitful field, one that yields unique  theoretical models and practical applications, as well as new insights in the discussion of problems of national and international interest. This volume is addressed to academicians, researchers, Ph.D. students and professionals
UR  - https://s443-doi-org.br.lsproxy.net/10.1007/978-3-319-50234-2
ER  -