Outrageous Predictions
Executive Summary: Outrageous Predictions 2026
Saxo Group
If you’ve ever felt uneasy during a market swing or nervous as your portfolio dipped, you’ve experienced one of the most common features of investing: volatility.
Volatility is often associated with uncertainty and risk. It can provide information about how widely prices are moving, but it does not predict future returns or remove the risk of losses.
This guide explains what volatility means, how it is measured, and why it matters for long-term investors and active traders.
Volatility refers to how much the price of an asset — such as a share, bond, or market index — fluctuates over a given period. High volatility means larger, often unpredictable price changes, while low volatility reflects more stable, gradual movement.
Volatility is often associated with uncertainty because it reflects how widely prices have been moving. When market confidence is higher, prices may move in a more orderly way. When investors are uncertain due to economic surprises, geopolitical events, or policy shifts, prices may swing more sharply in either direction.
Understanding volatility can help investors:
Volatility is one common measure of risk, but it doesn’t capture all risks (for example, liquidity, credit, or the risk of permanent loss of capital). A share with lower annualised volatility, such as a 5% standard deviation of returns, is typically considered less volatile than one with higher annualised volatility, such as 30%. This doesn’t mean higher-volatility assets are inherently bad — but they do require a higher tolerance for price swings.
Investors with shorter time horizons may prefer lower-volatility allocations, but the right approach depends on individual circumstances. A longer time horizon may allow some investors to accept more volatility, but higher volatility does not guarantee higher returns.
Key takeaway: Understanding your personal comfort with volatility can help when assessing whether a portfolio matches your goals, time horizon and risk tolerance.
Volatility is an important concept in options trading. Pricing models such as Black-Scholes use expected volatility as one input when estimating the value of options contracts.
Options and other derivatives can be complex and carry significant risks (including the risk of losing more than the initial investment in some cases).
When expected volatility increases, options may become more expensive because larger expected price movements can increase the probability that an option finishes in the money.
Even modest shifts in volatility can affect option pricing, so investors using derivatives need to understand how volatility changes risk and potential losses.
Volatility is one consideration in asset allocation, alongside expected return, correlation, liquidity, costs and time horizon. Combining assets with different volatility levels and lower correlations may reduce portfolio volatility in some periods, although diversification does not guarantee gains, smooth returns, or the prevention of losses.
For example, two volatile assets that have historically moved in opposite directions may reduce overall portfolio volatility when combined, depending on their weights, correlations, and market conditions.
A portfolio made up entirely of high-growth shares may be more exposed to large drawdowns. A portfolio that blends shares, bonds, and other asset classes may be less concentrated, but it can still fall in value during broad market declines.
Rising volatility often signals growing uncertainty or fear among investors. Lower volatility can reflect calmer market conditions, although it does not mean risks have disappeared.
Indicators such as the VIX Index can provide context for expected equity market volatility. For example, changes in volatility indicators may reflect uncertainty around economic data, policy decisions or market positioning. These indicators can provide context, but they are not predictive on their own.
Short-term and active traders may consider volatility when assessing position size, risk controls and product choice. In more volatile conditions, prices may move more quickly in either direction, increasing potential gains and losses.
During calmer periods, some traders may consider range-bound or income-focused strategies, but these strategies still carry risk and may involve complex products. Any strategy should be assessed against market conditions, costs, complexity, risk tolerance and the possibility of loss.
Volatility can be measured in several ways, each offering a different lens on market movement:
This backward-looking measure tracks how much an asset’s price has fluctuated over a specific timeframe. It shows past price variability, but it does not predict future volatility.
Derived from options prices, implied volatility is forward-looking and reflects market expectations for future price movements. A rise in implied volatility may indicate that market participants expect larger price movements.
Often called the “fear gauge” in the media, the VIX measures the market’s expectation of 30-day volatility for the S&P 500. A high VIX may suggest greater expected volatility, while a low reading may suggest calmer expected conditions.
In addition to the VIX, several related metrics may provide further context on market expectations and risk dynamics:
Investors do not need to monitor every metric, but these indicators can provide additional context on volatility, correlation and market breadth.
Volatility is a normal part of investing and trading, but it can increase uncertainty and the risk of losses. Understanding how volatility is measured may help investors and traders assess risk, compare assets and review whether a strategy still fits their objectives.
Volatility indicators can provide useful context, but they do not predict market direction or guarantee better decisions. A risk-aware approach considers volatility alongside diversification, liquidity, time horizon, costs and the possibility of loss.
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