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Defined-benefit pension plan

As explained in Build a Robo-Advisor with Python (From Scratch)

A pension plan that promises retirement payments determined by a formula, rather than by an individual's account balance.

A defined-benefit pension plan promises retirement income through a plan-defined payout, commonly requiring a choice between a lump sum and steady lifetime payments. The central planning question is how that choice balances income, longevity risk, inflation treatment, and personal circumstances. section 1.1.3 section 6.4

Evaluate the pension choice by considering:

  • Lifetime payments reduce longevity risk by continuing if the retiree lives beyond life expectancy. section 1.3
  • Pension payments typically lack inflation adjustments, so their purchasing power differs from inflation-adjusted benefits such as Social Security. section 6.4
  • Analyze the alternatives with a customized lifecycle model rather than relying only on a break-even calculation. section 1.3 section 6.4

Lump sum or lifetime income

A retiree can adapt the same Python-based analysis used for Social Security to compare a pension lump sum with a steady lifetime-income stream, modifying the model for the pension’s payment and inflation rules. section 1.1.3 section 6.4

How Build a Robo-Advisor with Python (From Scratch) covers it

How deep it goes
Defines the choice and its risks, then points to customized lifecycle modeling without detailing the implementation.
Examples
Uses the lump-sum-versus-lifetime-income decision and adapts Social Security analysis to pension payments.
What it assumes
Assumes familiarity with Social Security analysis and lifecycle modeling while leaving pension-specific modifications to be made.
What you can do after
Evaluate pension payout alternatives with a customized lifecycle model that accounts for longevity risk and inflation treatment.
How it connects
Connects defined-benefit pensions to Social Security, annuities, lifecycle models, and longevity risk.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Build a Robo-Advisor with Python (From Scratch). The section links point to the parts of the book it draws on.