Sector rotation explained: the economic cycle, GICS sectors and the limits of the model

Sector rotation is the movement of investor money from one group of industries to another as expectations about the economy change. When growth is expected to pick up, money tends to favour cyclical sectors such as industrials, financials and consumer discretionary; when a slowdown is feared, it tends to move towards defensive sectors such as utilities, consumer staples and health care. The idea is useful for understanding why parts of the stock market move in different directions on the same day, but as a timing tool it is far less reliable than the neat diagrams suggest.

This guide covers how sectors are defined, the classic cycle model and the logic behind it, how traders measure which sectors are leading, a worked pair-trade example, and the reasons the model so often lets people down. It assumes you know the basics of how stock markets work and what a stock index is.

How sectors are defined: GICS

To talk about rotation you need agreed boxes to rotate between. The most widely used system is the Global Industry Classification Standard (GICS), developed in 1999 by MSCI and Standard and Poor’s and now maintained by MSCI and S&P Dow Jones Indices. The S&P 500 sectors, MSCI sector indices and most sector ETFs use it.

GICS has four levels: sectors, industry groups, industries and sub-industries. Each company is assigned to one sub-industry based mainly on where its revenue comes from, and that places it in exactly one sector. There are currently 11 sectors:

• Energy: oil and gas producers, refiners, equipment and services.
• Materials: chemicals, metals and mining, construction materials, packaging.
• Industrials: aerospace and defence, machinery, construction, airlines, transport, business services.
• Consumer Discretionary: cars, retailers of non-essential goods, hotels, restaurants, leisure, household durables.
• Consumer Staples: food, drink, tobacco, household products, food and grocery retail.
• Health Care: pharmaceuticals, biotechnology, medical devices, health care providers.
• Financials: banks, insurers, asset managers, exchanges, and payment processors.
• Information Technology: software, semiconductors, hardware and IT services.
• Communication Services: telecom operators, media, entertainment, and interactive media such as search and social networks.
• Utilities: electricity, gas and water utilities, and independent power producers.
• Real Estate: real estate investment trusts (REITs) and property developers and managers.

The structure changes over time

GICS is revised periodically, and the revisions move very large companies between sectors. Real Estate was split out of Financials to become the 11th sector in 2016. In 2018 Telecommunication Services was broadened into Communication Services, which absorbed large internet and media companies from Information Technology and Consumer Discretionary. In March 2023 payment processors such as Visa and Mastercard moved from Information Technology to Financials.

This matters because a sector index’s history is not always comparable over long periods. A chart showing "technology versus financials" over 20 years mixes different company line-ups. It also means a reclassification alone can force sector funds to buy and sell, much like the flows described in our guide to index rebalancing.

Cyclical and defensive

Traders usually group the sectors into two broad families:

• Cyclical sectors have earnings that rise and fall strongly with the economy: Consumer Discretionary, Financials, Industrials, Materials, Energy, and to a degree Information Technology and Real Estate.
• Defensive sectors sell things people keep buying in a downturn: Consumer Staples, Utilities and Health Care. Their earnings are steadier, and they often pay higher dividends.

Defensive does not mean safe. Defensive sectors still fall in a broad sell-off; they just tend to fall less. And because utilities and staples are often valued partly for their dividends, they can be sensitive to rising bond yields, as our bonds and yields guide explains.

The textbook cycle model

The classic model divides the business cycle into phases and assigns typical sector leaders to each. Versions differ, but most look roughly like this.

Early cycle: recovery

The economy is coming out of a recession. Interest rates are low because the central bank cut them during the downturn, credit conditions are easing, and earnings are recovering from a low base.

Sectors that often lead: Consumer Discretionary, Financials, Industrials, Real Estate and sometimes Information Technology. The logic: these businesses have the most operating leverage, so a small rise in sales produces a big rise in profits, and they benefit most from cheap credit.

Mid cycle: expansion

Growth is steady, earnings are rising broadly, and the central bank is starting to move rates back towards normal.

Sectors that often lead: Information Technology and Industrials, with Communication Services sometimes joining. The logic: businesses invest in equipment and software when demand is reliable. Leadership is usually less pronounced in this phase, and it tends to be the longest.

Late cycle: overheating

Growth is still positive but slowing, capacity is tight, inflation is rising and the central bank is tightening policy.

Sectors that often lead: Energy and Materials, sometimes with Consumer Staples and Health Care gaining ground. The logic: commodity prices tend to be strong when demand is running hot and supply is stretched, and investors start positioning defensively.

Recession: contraction

Output falls, unemployment rises, earnings decline and the central bank is cutting rates.

Sectors that often lead (or fall least): Consumer Staples, Utilities and Health Care. The logic: demand for food, medicine and electricity holds up, and falling bond yields make their dividends relatively attractive.

The idea underneath

The model is really about sensitivity. Every sector has a different exposure to three things: economic growth, inflation and interest rates. Rotation is the market re-weighting sectors as the outlook for those three changes. The what moves currency prices guide covers the same macro drivers from the currency side, and the logic carries over.

Why the model works badly in real time

The cycle diagram is tidy in hindsight. Using it live is a different matter.

Markets move on expectations

Share prices discount the future. Cyclical sectors often bottom while the economic news is still terrible, because investors start pricing the recovery months ahead. By the time GDP data confirm the early-cycle phase, much of the early-cycle rally may be over. Economic releases such as GDP and PMIs arrive with a lag and are later revised.

Nobody knows the phase for sure

Economists frequently disagree about where the cycle is, and recessions are often only formally dated well after they began. A model that needs you to know the current phase is only as good as that call.

Cycles do not repeat neatly

The 2020 Covid recession lasted only a couple of months and was followed by a recovery shaped by lockdowns, stimulus and supply chain shocks, not by a normal credit cycle. Technology shares surged during the downturn rather than lagging. In 2022 energy led strongly while inflation surged and rates rose quickly, broadly fitting late-cycle textbook patterns, but a recession widely expected at the time did not arrive in the US in 2023. Each cycle has its own driver.

Structural trends swamp cyclical ones

Sometimes one sector outperforms through every phase because of a long-term change, such as the rise of large internet and software companies, or underperforms for years because its industry is shrinking. The cycle model says nothing about that.

Sectors are not the same everywhere

A UK "Energy" sector is dominated by a few integrated oil majors; a US "Information Technology" sector is dominated by a few giant companies. Index-level sector moves can really be single-company moves. The S&P 500 trading guide discusses that concentration.

Measuring rotation: relative strength

Despite the caveats, it is useful to know which sectors are actually leading. The standard tool is relative strength: the sector index (or sector ETF price) divided by the broad market index. When the ratio rises, the sector is outperforming; when it falls, it is underperforming, even if both are going up.

Worked example: a sector that rose but lagged

Illustrative numbers. Over three months:

• A utilities sector index rises from 300 to 315, a gain of 5%.
• The broad market index rises from 4,000 to 4,400, a gain of 10%.

Relative strength at the start: 300 ÷ 4,000 = 0.0750. At the end: 315 ÷ 4,400 ≈ 0.0716. The ratio fell by about 4.5%. Utilities made money for a holder, but they lagged the market, which in rotation terms means money was moving out of them relative to the rest of the index.

Most charting platforms, including TradingView, let you plot one symbol divided by another, so you can chart a sector ETF against a broad index ETF directly.

Other things traders watch

• Breadth within the sector. Is the whole sector rising, or two giant companies?
• The cyclical versus defensive ratio. For example, a consumer discretionary index divided by a consumer staples index, as a rough gauge of risk appetite.
• Bond yields and the yield curve. Banks are sensitive to the shape of the yield curve; utilities and real estate to the level of long-term yields. Our guide to yield curve inversion covers the curve as a recession signal.
• Commodity prices. Energy and materials sectors move closely with oil and metals.
• Earnings revisions. Sectors whose earnings forecasts are being raised tend to attract money; see earnings season explained.

Relative strength describes the past. It does not tell you that leadership will continue, and leadership changes are often abrupt.

Trading sectors with CFDs

Retail traders usually express sector views in one of three ways.

• Sector ETFs or ETF CFDs. A sector ETF holds the members of a sector index. Some brokers offer CFDs on popular sector ETFs. Our ETFs guide covers how they work, and why EU retail clients often cannot buy US-domiciled ETFs directly.
• Individual share CFDs. Buying or selling large members of a sector. This adds company-specific risk such as results days, and share CFDs are capped at 5:1 leverage for retail clients under ESMA rules.
• Indices with a sector tilt. The Nasdaq 100 leans heavily towards technology and communication services; the FTSE 100 leans towards energy, mining, banks and staples. Choosing between them is partly a sector choice. See trading index CFDs.

Worked example: a defensive pair trade that is not neutral

A common idea is to go long a defensive sector and short a cyclical one, on the theory that it profits from a slowdown "whatever the market does". Illustrative numbers.

A trader buys 5,000 euros of a consumer staples ETF CFD and sells 5,000 euros of a consumer discretionary ETF CFD. Assume staples typically move about 0.6 times as much as the market (a beta of 0.6), and discretionary about 1.3 times (a beta of 1.3).

Scenario A: the market falls 10% and the betas hold.

• Staples long falls about 6%: minus 300 euros.
• Discretionary short gains about 13%: plus 650 euros.
• Net: plus 350 euros.

Scenario B: the market rises 10% and the betas hold.

• Staples long gains about 6%: plus 300 euros.
• Discretionary short loses about 13%: minus 650 euros.
• Net: minus 350 euros.

Equal euro amounts did not make the trade neutral. It is effectively a bet on the market falling, with a sector view on top. To reduce the market exposure, the short leg has to be scaled by the ratio of betas: 5,000 × 0.6 ÷ 1.3 ≈ 2,308 euros, so roughly 2,300 euros short against 5,000 long. Even then, betas are estimates from past data and change over time, and both legs pay overnight financing or carry short costs. The profit and loss calculator helps you check each leg.

Pair trades also have two sets of costs and two sets of risks. If staples fall on a sector-specific scare while discretionary rallies, both legs lose at once. The currency correlation guide explains the same stacking problem in forex.

Common mistakes

• Using the cycle model as a calendar. It describes tendencies, not a sequence you can time.
• Acting on lagging data. By the time the economic data confirm a phase, the market has usually priced it.
• Confusing absolute and relative performance. A sector can rise and still lag; it can fall and still lead.
• Ignoring concentration. A sector move may be one or two companies.
• Assuming defensive means low risk. Defensive sectors still fall in broad sell-offs and are sensitive to bond yields.
• Building pair trades with equal notional. Different betas leave a hidden market bet.
• Holding leveraged sector views for months. Financing costs build up daily on the full position, and leverage magnifies losses. Most retail CFD accounts lose money; see why most retail CFD traders lose.

Frequently asked questions

What is sector rotation in simple terms?

It is investors moving money from one group of industries to another as their view of the economy changes. When they expect stronger growth they tend to favour cyclical industries; when they expect weakness they tend to favour defensive ones like utilities, consumer staples and health care.

How many GICS sectors are there?

Eleven: Energy, Materials, Industrials, Consumer Discretionary, Consumer Staples, Health Care, Financials, Information Technology, Communication Services, Utilities and Real Estate. The structure is reviewed periodically, and companies are sometimes moved between sectors when it changes.

Which sectors do best in a recession?

Historically, defensive sectors such as consumer staples, utilities and health care have tended to fall less than the market in recessions, because demand for their products is steadier. That is a tendency rather than a rule, and it says nothing about how any particular recession will play out.

Does sector rotation actually work?

As a description of how different sectors respond to growth, inflation and interest rates, it is broadly sound. As a timing tool it is unreliable, because markets anticipate the cycle, cycles differ from one another, and structural trends can dominate for years.

How do I see which sectors are leading?

Plot each sector index or sector ETF divided by a broad market index. A rising line means the sector is outperforming, a falling line means it is underperforming. Check whether the move is broad within the sector or driven by one or two very large companies.

Is a long staples, short discretionary trade market-neutral?

Not with equal amounts in each leg. Staples usually move less than the market and discretionary more, so the trade gains when the market falls and loses when it rises. Scaling the legs by their betas reduces that exposure, but betas change and costs apply to both legs.