Handbook on Loss Reserving (eBook)

Michael Radtke is a professor for risk management and insurance at Dortmund University of Applied Sciences and Arts. At the same time, he is an adviser of Willis Towers Watson for the Risk Consulting Practice in Cologne. From joining Cologne Re in 1988, he held a number of positions as a non-life actuary and consultant. In 1998, he founded the actuarial consulting firm MRS of which he was a managing director during 10 years. He holds a PhD in mathematics from the University of Siegen.Klaus D. Schmidt is a professor for actuarial mathematics at Dresden University of Technology. He graduated in mathematics at the University of Zurich and holds a PhD from the University of Mannheim. His research focuses on probability theory and statistics and their applications in non-life actuarial mathematics. He is engaged in the professional education programs of the German and Austrian Actuarial Associations and has been a visiting professor at the Universities of Salzburg and Strasbourg.Anja Schnaus is a senior pricing actuary at Gen Re in Cologne. As an actuary, she has long-standing professional experience in property and casualty insurance. From joining Cologne Re in 1995, she held several positions in non-life reserving and pricing. She graduated in mathematics from Dresden University of Technology.All editors are members of the German Actuarial Association (DAV) and of its non-life reserving working party headed by Michael Radtke.

Additive Method.- Aggregation.- Bornhuetter-Ferguson Method.- Bornhuetter-Ferguson Principle.- Cape Cod Method.- Chain-Ladder Method (Basics).- Chain-Ladder Method (Models).- Chain-Ladder Method (Prediction Error).- Collective Model.- Controlling.- Credibility Models (Basics).- Credibility Models (Loss Reserving).- Development Patterns (Basics).- Development Patterns (Estimation).- Expected-Loss Method.- Grossing-Up Method.- Linear Models (Basics).- Linear Models (Loss Reserving).- Lognormal Loglinear Model (Basics).- Lognormal Loglinear Model (Loss Reserving).- Loss-Development Method.- Loss Ratios.- Marginal Sum Method.- Multinomial Model.- Multiplicative Model.- Multivariate Methods.- Munich Chain-Ladder Method.- Paid & Incurred Problem.- Panning Method.- Poisson Model.- Reinsurance.- Run-Off Data.- Run-Off Triangles.- Separation Method.- Simulation.- Solvency II.- Tail Estimation.- Volume Measures.- Probability Distributions.- References.- List of Symbols.- List of Contributors.- Author Index.- Subject Index.