Sustainable Life Insurance (PDF)
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This book gives an overview of all relevant aspects of traditional and non-traditional savings and retirement products from both insurers' and policyholders' respective risk appetites. Examples of such products include general accounts, whole life, annuities (variable, fixed and fixed indexed, structured), CPPI-based products etc.
Ludovic Goudenège has been a researcher in the French national research institute, CNRS (first class), since 2010 and a professor at École CentraleSupélec, and was a consultant in insurance at AXA Group Risk Management. He is a specialist in stochastic partial differential equations, particularly in the presence of strong or singular nonlinearities, for which he develops theoretical results on the convergence and numerical analysis of numerical schemes. He also works with the Inria MathRisk team for the development
Xiaolu Tan has been Associate Professor at the Chinese University of Hong Kong since 2019. He is a member of the editorial board of the journals Numerical Algebra, Control and Optimization, Stochastic Processes and Their Applications and Journal of Optimization Theory and Applications. Previously he was Assistant Professor at Paris-Dauphine University from 2013 to 2019. He was a consultant in insurance at AXA Group Risk Management between 2011 and 2017. He holds a master's and a PhD in applied probability at École Polytechnique. His research interests, transalated into more than 30 academic publications, are in stochastic analysis, stochastic optimal control, the numerical simulation of stochastic differential equations (SDEs), the numerical method for nonlinear PDEs, the numerical method for optimal control problems and their application in finance and insurance.
Saad Mouti is an Assistant Professor at UCSB PSTAT Department, after a postdoctoral fellowship at the Consortium of Data Analytics in Risk, part of the Economics and Statistics Department at the University of California - Berkeley. He completed his PhD in financial and actuarial mathematics at Pierre and Marie Curie University (Paris 6, France) in 2017. Prior to that he obtained a financial engineering diploma from the National School of Applied Mathematics and Computer Science of Grenoble in 2010 and an MSc in the statistical processing of information from Paris-Dauphine University in 2011. Saad's thesis was financed by AXA to address different financial risks for the life insurance industry and englobed the pricing and hedging of life insurance products and policyholders' rational behaviour, rough volatility modelling and optimal strategies for buying a book of options under market impact constraints. His research interests are theoretical, applied and engineering approaches to applying data science to risk measurement and management problems. His current subjects are environmental, social and governance investing, asset-pricing theory, volatility modelling and causal inference applications for health science.
Mounir Bellmane has been a Consultant Manager at Towers Watson since 2020, providing advice on asset and liability modelling (ALM), merger and acquisition (M&A) activity, the optimization of ALM models and model point reduction techniques for stochastic models. Previously he was a life and savings specialist at AXA between 2014 and 2020, during which time he managed projects in the following areas: the implementation and monitoring of profitability models, the optimization of run-time calculation, the implementation of Solvency II ALM metrics, capital risk management, product design, the monitoring and calibration of life risks and the design and implementation of dynamic customer behaviour functions. He holds a master's in actuarial sciences from ISFA, a master's in applied mathematics from Paris-Dauphine University and an MBA from ESCP Business School.
- Autoren: Aymeric Kalife , Ludovic Goudenège , Tan Xiaolu , Mouti Saad , Mounir Bellmane
- 2023, 1. Auflage, 540 Seiten, Englisch
- Verlag: Taylor & Francis
- ISBN-10: 1000876276
- ISBN-13: 9781000876277
- Erscheinungsdatum: 18.08.2023
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 98 MB
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