Produktbild: Mathematical and Statistical Methods for Actuarial Sciences and Finance

Mathematical and Statistical Methods for Actuarial Sciences and Finance MAF 2016

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

18.01.2018

Abbildungen

VIII, 19 illus., 8 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen

Herausgeber

Marco Corazza + weitere

Verlag

Springer

Seitenzahl

169

Maße (L/B/H)

24,1/16/1,6 cm

Gewicht

385 g

Auflage

1st ed. 2017

Sprache

Englisch

ISBN

978-3-319-50233-5

Beschreibung

Portrait

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.

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

18.01.2018

Abbildungen

VIII, 19 illus., 8 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen

Herausgeber

Verlag

Springer

Seitenzahl

169

Maße (L/B/H)

24,1/16/1,6 cm

Gewicht

385 g

Auflage

1st ed. 2017

Sprache

Englisch

ISBN

978-3-319-50233-5

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: 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.