Risk Warning: CFDs and spread bets are complex instruments and come with a high risk of losing money rapidly due to leverage.
Approximately 80% of retail client accounts lose money when trading in CFDs and spread bets.
You should consider whether you understand how CFDs and spread bets work and whether you can afford to take the high risk of losing your money.

How Institutional Traders Manage Volatility

Lunaro Trading Team
24/08/2026 | Briefings

Volatility is the condition that most tests a risk management framework’s quality. In calm markets, almost any approach can appear to work. When conditions become volatile, weaknesses in position sizing, portfolio correlation, and exposure management surface simultaneously and quickly.

Institutional traders do not experience volatility as something that happens to them. They treat it as a variable in the operating environment that requires active management. That distinction, between reactive and anticipatory approaches to volatility, produces different behaviour before, during, and after volatile episodes, and different outcomes.

Volatility as an Input, Not a Surprise

The first discipline of institutional volatility management is treating expected volatility as an input to position sizing and portfolio construction before any volatile period begins, rather than responding to actual volatility once it has already arrived.

The tools for this are widely available. Implied volatility, derived from options pricing and expressed through instruments such as the VIX for equity indices, provides the market’s forward-looking estimate of expected price movements. When implied volatility is elevated, the market is pricing in larger expected moves. When it is compressed, the market expects calm conditions. As covered in [The Mechanics of Derivatives Markets], implied volatility is not a directional signal; it does not indicate whether the market will rise or fall. It indicates the expected amount of movement over a given period.

Professional risk managers adjust position sizes in response to the volatile environment. When implied volatility is elevated, positions are sized smaller. The same percentage risk per trade in a high-volatility instrument requires a wider stop, and a wider stop on the same size position means a larger potential loss in monetary terms. Reducing position size to maintain consistent monetary risk as volatility increases is the mechanical discipline that keeps the account stable when markets are moving fast.

Most retail traders do the opposite. They maintain fixed lot sizes regardless of volatility, which means their effective monetary risk per trade increases as volatility rises. Sizing explicitly to the volatility regime, rather than to a fixed lot or a fixed pip amount, is one of the clearest practical separations between professional and retail risk management.

Pre-Positioning Around Known Volatility Events

Institutional traders typically reduce exposure before known high-volatility events rather than holding through them and reacting to the outcome.

The economic calendar is the primary tool for anticipating scheduled volatility. Central bank meetings, major data releases, and earnings announcements are visible days or weeks in advance. A professional risk manager who holds a significant position ahead of a Federal Reserve meeting has explicitly decided how much volatility exposure to carry through that event. In many cases, the decision is to reduce that exposure, not because the directional view has changed, but because the uncertainty introduced by the event increases the potential adverse move beyond what the current risk framework is designed to absorb.

Reducing before a known event and re-entering after the uncertainty has resolved carries a cost: if the event moves in the anticipated direction, some of the gain is missed. The benefit is avoiding the tail scenario where the event surprises and the full position absorbs an adverse move. Professional risk management consistently accepts the cost of missing some upside in exchange for reducing exposure to the worst-case downside.

Dynamic Position Sizing Through Volatile Periods

When volatility arrives unexpectedly, through a flash event, a geopolitical development, or a sudden shift in sentiment, institutional traders adjust position sizes dynamically as the situation develops.

The core discipline is scaling down, not scaling up. As uncertainty increases and the range of possible outcomes widens, the appropriate response is to reduce exposure so that the account’s risk relative to equity remains within the designed parameters. The temptation is to hold or increase positions on the expectation that the uncertainty will resolve in the anticipated direction. The professional discipline is to recognise that elevated uncertainty requires wider stop distances to remain in the trade, and that wider stop distances on unchanged position sizes entail greater monetary risk per trade.

In practice, this means that during a volatile episode, institutional traders may hold fewer and smaller positions than during a calm period, even if they have strong directional conviction. Conviction is not the same as certainty, and the position sizing framework should reflect the actual distribution of possible outcomes rather than the most probable one.

Using Volatility Products

Professional trading operations sometimes use volatility products directly, most commonly VIX futures and options, as both a hedge against portfolio volatility and a tactical instrument during stress periods.

The mechanics of VIX instruments differ from those of directional equity products. VIX futures do not track the VIX index directly over extended periods due to roll costs in a contango environment; in normal conditions, futures trade above spot VIX, and holding long VIX futures through calm periods incurs roll losses as the near-month contract decays toward spot. This makes long volatility positions expensive to maintain as a permanent hedge but effective as a tactical position when implied volatility is compressed, and a catalyst for expansion is anticipated.

For most retail traders, the direct use of VIX instruments is neither practical nor appropriate. The institutional relevance of this section is understanding how professional operations think about volatility as a tradable variable in its own right, not merely as a background condition. That framing, volatility as a market with its own dynamics, its own mean-reversion tendencies, and its own relationship to the instruments in the portfolio, enriches the practical application of the volatility concepts covered in What Causes Volatility in Financial Markets.

Post-Volatility Review

Following any period of elevated volatility, professional risk managers conduct a systematic review of how the portfolio performed, specifically whether the position sizing and correlation management framework behaved as designed.

The review addresses several questions. Did the positions that were expected to provide diversification during the volatile period actually do so, or did correlations converge in ways that concentrated the loss? Were stop-loss orders executed at levels consistent with the risk parameters established before the event, or did slippage create gaps between expected and actual losses? Did the margin buffer remain adequate throughout, or did the account approach the maintenance threshold at any point?

The answers inform whether the framework needs adjustment before the next volatile period. A framework that behaved as designed under stress needs no change. One that produced larger losses than the risk parameters suggested, generated more concentrated exposure than the correlation model indicated, or came closer to the margin threshold than was comfortable requires modification to either the position sizing, the correlation management, or the margin buffer.

Most retail traders skip this review. Post-trade analysis that focuses only on whether the directional call was correct misses the more important question of whether the risk management framework functioned correctly, which is the variable the trader controls.

The Bottom Line

Institutional traders manage volatility through anticipation rather than reaction. They size positions in relation to the volatility environment, reduce exposure before known risk events, adjust dynamically as uncertainty increases, and review post-volatile periods to assess whether the risk framework functioned as designed.

The principles are the same at retail scale. Implied volatility provides a forward-looking sizing input. The economic calendar provides advance notice of scheduled risk events. Dynamic position reduction during stressed periods maintains the account’s risk parameters as conditions move fastest. Post-volatile review ensures the framework improves rather than repeating the same exposure mistakes through successive volatile periods.

Darren Clarke is a Senior Trader at Lunaro Financial Services. He has spent 40 years on trading desks ranging from institutional inter-bank FX to retail-focused fintechs and brokerages in the City of London.

Disclaimer:

This material is a marketing communication and is provided for general information and educational purposes only. It does not take into account your personal circumstances, objectives or needs. Any opinions are those of the author at the time of writing and may change without notice. Nothing in this material constitutes (or should be construed as) financial, investment, legal, regulatory or tax advice, or a recommendation to engage in any investment activity. You should not rely on this material when making investment or trading decisions.