Mathematical and Statistical Methods for Actuarial Sciences and Finance
MAF 2016
(Sprache: Englisch)
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...
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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.
Inhaltsverzeichnis zu „Mathematical and Statistical Methods for Actuarial Sciences and Finance “
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.Autoren-Porträt
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.
Bibliographische Angaben
- 2018, 1st ed. 2017, VIII, 169 Seiten, 8 farbige Abbildungen, Maße: 16 x 24,1 cm, Gebunden, Englisch
- Herausgegeben: Marco Corazza, Florence Legros, Cira Perna, Marilena Sibillo
- Verlag: Springer, Berlin
- ISBN-10: 3319502336
- ISBN-13: 9783319502335
- Erscheinungsdatum: 18.01.2018
Sprache:
Englisch
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