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Abstract
Investors arguably spend the most time and effort selecting “good” investment funds/managers—the so-called alpha decision—as well as on the asset-allocation, or beta, decision. However, alpha and beta are just two elements of myriad important financial planning decisions, many of which can have a far more significant impact on retirement income.
The authors present a concept that they call “gamma,” designed to quantify how more intelligent financial planning decisions can add value, measured through a certainty-equivalent, utility-adjusted retirement income metric, and focused on five fundamental financial planning decisions/techniques: a total wealth framework to determine the optimal asset allocation, a dynamic withdrawal strategy, incorporating guaranteed income products (i.e., annuities), tax-efficient decisions, and liability-relative asset allocation optimization.
Using a Monte Carlo simulation, the authors estimate that 22.6% more in certainty-equivalent income can be generated using a gamma-efficient retirement income strategy as compared to a base scenario. Unlike traditional alpha, which can be hard to predict and is a zero-sum game, the authors find that gamma (and gamma equivalent alpha) can be achieved by anyone following an efficient financial planning strategy.
- © 2013 Pageant Media Ltd
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