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Catalogue Information
Field name	Details
Dewey Class	368.01
Title	Mathematical and Statistical Methods for Actuarial Sciences and Finance ([EBook]) : MAF 2016 / / edited by Marco Corazza, Florence Legros, Cira Perna, Marilena Sibillo.
Added Personal Name	Corazza, Marco editor.
	Legros, Florence editor.
	Perna, Cira editor.
	Sibillo, Marilena editor.
Other name(s)	SpringerLink (Online service)
Publication	Cham : : Springer International Publishing : : Imprint: Springer, , 2017.
Physical Details	VIII, 169 p. 19 illus., 8 illus. in color. : online resource.
ISBN	9783319502342
Summary Note	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.:
Contents note	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.
System details note	Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users)
Internet Site	http://dx.doi.org/10.1007/978-3-319-50234-2
Links to Related Works	Subject References: Actuarial science . Actuarial Sciences . Economics, Mathematical . Finance . Finance, general . Macroeconomics . Macroeconomics/Monetary Economics//Financial Economics . Mathematics . Quantitative Finance . Statistics . Statistics for Business/Economics/Mathematical Finance/Insurance . Authors: Corazza, Marco . Legros, Florence . Perna, Cira . Sibillo, Marilena . Corporate Authors: SpringerLink (Online service) . Classification: 368.01 .

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Mathematical and Statistical Methods for Actuarial Sciences and Finance: MAF 2016

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