Stochastic Modeling: Theory and Reality from an Actuarial Perspective

This book covers five major sections: 1. General mythology including a discussion of risk-neutral versus real world scenarios techniques using distributions and fitting random number generator and risk measures; 2. current applications including economic scenarios, life, health and non-life models and country or region specific issues; 3. evaluation of results including calibration validation audit, view and communication; 4. Seven case studies that show various applications of scenario development in real situations including pricing economic capital analysis and embedded value analysis and 5. references and additional resources available to the reader.