Mathematical and Statistical Methods for Actuarial Sciences and Finance

MAF 2016
1. Auflage 2017
ISBN: 978-3-319-50233-5
Verlag: Springer International Publishing

Buch, Englisch, 169 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 442 g

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.

Zielgruppe

Research

Autoren/Hrsg.

Corazza, Marco

Sibillo, Marilena

Perna, Cira

Legros, Florence

Fachgebiete

• Mathematik | Informatik Mathematik Mathematik Interdisziplinär Finanz- und Versicherungsmathematik
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik
• Wirtschaftswissenschaften Finanzsektor & Finanzdienstleistungen Finanzsektor & Finanzdienstleistungen: Allgemeines

Inhaltsverzeichnis

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.

Über Autor(innen)

Marco Corazza PhD in "Mathematics for the Analysis of Financial Markets" is an associate professor at the Department of Economics of the Ca' Foscari University of Venice (Italy). His main research interests include static and dynamic portfolio management theories; trading system models; machine learning applications in finance; bio-inspired optimization techniques; multi-criteria methods for economic decision support; port scheduling models and algorithms; non-standard probability distributions in finance. He has participated in several research projects, both at national and international level, and is the author/coauthor of about one hundred and twenty scientific publications; some of which have received national and international awards. He is also editor-in-chief of the international scientific journal "Mathematical Methods in Economics and Finance", and is a member of the scientific committees of several conferences and of some private companies. His combines his academic activities with consulting services.


Prof. Cira Perna is a professor of Statistics and head of the Department of Economics and Statistics, University of Salerno (Italy). Her research work mainly focuses on non-linear time series, artificial neural network models and resampling techniques and she has published numerous papers on these topics in national and international journals. She has been a member of several scientific committees of national and international conferences.


Prof. Marilena Sibillo is a professor of Mathematical Methods for Economics, Finance and Actuarial Sciences at the University of Salerno (Italy). She has several international editing engagements and is the author of over a hundred publications. Her research interests are mainly in longevity risk in life contracts, de-risking strategies, personal pension products and mortality forecasting.

Prof. Florence Legros is currently dean of the ICN Business School and general delegate of the ARTEM alliance. She was previously a professor at the University of Paris Dauphine where she was director of the Insurance School, and the “magistère” Bank-Finance and Insurance as well as the E-MBA Insurance. Her research addresses ageing, pensions, social policies, savings and their effects on economic growth and financial flows. She has acted as a consultant for international administrations, served as an expert in the French prime minister’s pensions advisory council and as a scientific adviser for various institutions. Between 2008 and 2011, she was chief education officer (Rector) for the Region of Burgundy (France). Between 1999 and 2004 she was deputy director of CEPII, where she actively took part in the creation of the European network Enepri.