Stochastic Processes for Actuarial Applications : Markov Chains, Poisson Processes, and Beyond
Overview
Stochastic processes lie at the heart of actuarial science. They provide the mathematical language for describing systems that evolve randomly over time-claims arriving at unpredictable intervals, lives transitioning between health states, portfolios exposed to shifting financial risks. For actuaries, the mastery of these processes is not an academic luxury, but a practical necessity. This book, the third installment in the Actuary Mastery Series II - The Advanced Collection, explores Markov chains, Poisson processes, and related models with a sharp focus on their actuarial applications. From survival models based on stochastic principles to claim frequency modeling and queueing structures relevant to service and operations risk, this volume bridges theory and practice. We will explore both discrete and continuous-time frameworks, providing insight into when each is most appropriate. Along the way, actuarial case studies will illustrate how these models are used in life insurance, health insurance, risk management, and beyond.
The aim is twofold:
- To provide a rigorous mathematical treatment of stochastic processes relevant to actuarial work.
- To demonstrate how these tools can be applied to real-world actuarial problems in pricing, reserving, solvency, and operational risk.
- Oluchi Ike
This item is Non-Returnable
Customers Also Bought
Details
- ISBN-13: 9798266862944
- ISBN-10: 9798266862944
- Publisher: Independently Published
- Publish Date: September 2025
- Dimensions: 11 x 8.5 x 0.41 inches
- Shipping Weight: 1.01 pounds
- Page Count: 192
Related Categories
