Exam ALTAM · Survival Models for Contingent Cash Flows · Free Lesson

Apply the Chapman-Kolmogorov equations to calculate discrete time transition probabilities in the Markov model.

Free SOA Exam ALTAM (Advanced Long-Term Actuarial Mathematics) lesson in Survival Models for Contingent Cash Flows. 10 min read, ~1,544 words.

A disability insurer needs the probability that a healthy life today is disabled three years from now. Chapman-Kolmogorov turns one-step rates into any horizon by summing over intermediate states.

Let be a discrete-time Markov chain on a finite state space . The one-step transition probability is

For a time-homogeneous chain, does not depend on . Collect entries in matrix with in row , column . Each row sums to 1.

Let . Condition on the state at intermediate time , apply the Markov property, and sum:

In matrix form, . For a time-homogeneous chain this collapses to .

KEY: CK is matrix multiplication. Row of dotted with column of yields the entry of .

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For one entry of , write the explicit CK sum over middle state instead of forming the full product. Three multiplies beats nine when you only need one cell. DECISION: Rates depend on age, multiply distinct in order. Rates constant across ages, raise the single to the power . Check absorbing rows first.

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