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What Does Historical Volatility Tell You?

Published in Market Volatility 4 mins read

Historical volatility (HV) is a crucial metric that quantifies the past price fluctuations of a market index or security over a specific period. Essentially, it tells you how much an asset's price has moved from its average in the past. When an asset's historical volatility is going up, that means its price is moving further away from its average (in either direction) more quickly than usual. This makes it a key indicator for understanding the magnitude and speed of an asset's price changes.

Understanding the Basics of Historical Volatility

At its core, historical volatility measures the degree of dispersion of an asset's returns around its mean return. It's calculated using past price data and is often expressed as an annualized percentage. A higher HV indicates that an asset's price has experienced larger and more frequent swings in the past, while a lower HV suggests more stable and predictable price movements.

Key Insights from Historical Volatility:

  • Past Price Movement: HV provides a concrete measure of how much an asset's price has deviated from its average over a given period.
  • Rate of Change: It shows not just the size of price changes but also the speed at which these changes occur. An increasing HV means prices are moving away from their average more quickly.
  • Risk Assessment: It's a fundamental measure of risk. Assets with higher historical volatility are generally considered riskier because their future prices are less predictable.
  • Market Sentiment: Spikes in HV often coincide with periods of market uncertainty, economic news, or significant company events.

How Historical Volatility is Used

Historical volatility is a widely used tool by investors, traders, and analysts for various purposes:

  • Risk Management: Investors use HV to gauge the potential risk associated with an asset. High HV might lead to smaller position sizes or greater diversification.
  • Option Pricing: HV is a primary input in option pricing models, such as the Black-Scholes model. Higher historical volatility generally leads to higher option premiums, as there's a greater probability of the underlying asset's price moving significantly.
  • Strategy Development: Traders often incorporate HV into their trading strategies. For instance, breakout traders might look for periods of low HV (calm markets) before an expected price explosion, while mean-reversion traders might capitalize on high HV (overextended prices returning to average).
  • Portfolio Management: Fund managers use HV to balance risk across different assets in a portfolio. Combining assets with varying volatility profiles can help optimize risk-adjusted returns.
  • Comparison Tool: HV allows for an objective comparison of the past risk profiles of different assets or market indices over the same time frame.

High vs. Low Historical Volatility

The interpretation of historical volatility often depends on whether it is high or low relative to its own past levels or to other assets.

Feature High Historical Volatility Low Historical Volatility
Price Movement Large and rapid price swings, less predictable Small and gradual price movements, more predictable
Risk Implication Higher perceived risk, greater potential for significant gains/losses Lower perceived risk, more stable returns
Market Condition Often seen during market uncertainty, news events, or crisis Often seen during calm market conditions or sideways trading
Trading Styles Favored by breakout traders, trend followers, active traders Favored by long-term investors, value investors, dividend seekers
Option Prices Leads to higher option premiums (both call and put) Leads to lower option premiums

Limitations of Historical Volatility

While valuable, it's important to remember that historical volatility is backward-looking. It tells you what has happened, not necessarily what will happen. Future volatility can differ significantly from past volatility due to unforeseen events or changes in market conditions. Therefore, it should be used in conjunction with other analytical tools and a forward-looking perspective, such as implied volatility (which reflects market expectations of future volatility).