In today’s markets, investors must measure risk with care. Whether managing personal savings or institutional portfolios, they often rely on annualized risk estimates to guide capital allocation and long-term planning.
Underestimating risk, even modestly, can lead to unintended downside exposure, capital misallocation, or misinterpretation of a strategy’s risk-adjusted return. For long-term investors, risk managers, and fiduciaries, such misjudgments can undermine portfolio objectives.
In this paper, we’ll:
- Outline the limitations of simplistic volatility scaling
- Highlight how return structures (particularly autocorrelation, volatility clustering, and extreme outcomes) can materially distort annualized risk
- Illustrate that these effects vary over time, underscoring the value of a dynamic, data-informed approach to risk measurement
Download our paper to learn more about how measuring risk is more than a technical detail, but a foundational step in portfolio management.