📚 PASS Investment Adviser (Level 2) Difficulty: Intermediate ℹ️ Info   ~5 min read
📌 Chapter 6.2 — Calculations for Retirement Planning

Imagine you are reviewing a client’s comprehensive financial plan. The spreadsheet shows a clean, linear projection: retirement starts at age 60, and the corpus is depleted exactly at age 85, matching the average actuarial life expectancy. However, as an analyst, your duty is to stress-test this assumption. If the client lives to 95—a statistical reality for many in affluent, urban Indian demographics with access to high-quality healthcare—the original plan collapses, leaving a ten-year deficit that cannot be filled by market returns alone.

Longevity risk represents the probability that an individual will outlive their financial assets. In the context of the Indian investment landscape, this is increasingly compounded by medical inflation, which historically outpaces general CPI inflation by a significant margin. When you model retirement cash flows, extending the duration of the payout phase by even five or ten years exerts a disproportionate pressure on the initial capital requirement.

This is because the ‘safe withdrawal rate’ must be lowered to ensure the corpus lasts for the extended period, often necessitating a larger initial investment or a more aggressive asset allocation strategy.

Consider two clients, both retiring at 60 with identical monthly requirements. Client A plans for a 20-year horizon, while Client B adopts a more prudent 30-year horizon. Due to the compounding nature of the present value of an annuity, Client B does not simply need 50% more capital; they need a significantly larger corpus to account for the diminished impact of early-year growth and the extended duration of inflation-adjusted withdrawals.

As an advisor, ignoring this variable leads to ‘under-saving syndrome,’ where the client faces a liquidity crisis during their most vulnerable years.

When evaluating a client’s risk profile, you must treat longevity as a non-diversifiable systematic risk. While market volatility can be mitigated through asset class diversification, longevity risk requires a structural solution: over-funding the retirement account or purchasing long-term annuity products that provide guaranteed income for life. Failing to account for this leads to a recommendation that prioritizes short-term comfort over the mathematical necessity of sustainability.

A professional valuation of retirement needs must incorporate a ‘buffer’—a longevity hedge—that treats life expectancy not as a target, but as the lower bound of a range.1

Nuance

⚠️ Nuance
Candidates often confuse longevity risk with sequence-of-returns risk. While sequence risk concerns the timing of market downturns during the early years of retirement, longevity risk is purely about the duration of the withdrawal period. An analyst should view sequence risk as a volatility problem and longevity risk as a structural capital sufficiency problem; solving for one does not automatically mitigate the other.

Check Your Understanding

Practice Question 1

An analyst is calculating the required corpus for a 60-year-old client. If the client decides to extend their planned life expectancy from 85 to 95, what is the primary impact on the financial model?

Practice Question 2

Which of the following is the most appropriate way to manage longevity risk in a client’s portfolio?

This is a companion read for Section 6.2 — Calculations for Retirement Planning from PASS Investment Adviser (Level 2) by Akhilesh Gururani, available on Amazon Kindle.

Copyright © 2026 Akhilesh Gururani. All rights reserved.

  1. Longevity risk is often addressed by utilizing a ‘mortality table’ which provides the probability of survival at specific ages. In Indian financial planning, it is standard practice to project until at least age 90 to account for advancements in geriatric medicine. ↩︎