Sector Rotation Modeling

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The U.S. stock market is not one market. It is eleven sectors moving at different speeds, and leadership passes from one to the next as money moves through the system. Our sector rotation model is built to follow that movement.

Why sectors rotate

Much of the money moving through U.S. equities is driven by rules and schedules as much as by opinion: index funds must rebalance, pensions must hit target weights, companies buy back stock inside set windows, and liquidity expands and contracts with central bank policy. These forces are structural and often predictable in timing, and they push capital from one group of stocks to another.

When that capital shifts, sectors take turns leading and lagging. A sector that has lagged the broad market can begin to improve, move into leadership, lose momentum and fall back, often in a recognizable cycle.

The mechanical levers we track

Index rebalancing

Scheduled reconstitutions and quarterly rebalances force index-linked money to buy and sell on a known calendar.

Fund and ETF flows

Money moving into and out of sector funds and broad index products shows where capital is concentrating.

Liquidity conditions

Federal Reserve policy, Treasury funding and credit conditions change how much money is available to take risk.

The earnings cycle

Earnings seasons and corporate buyback windows shift supply and demand for individual sectors.

Institutional rebalancing

Month-end and quarter-end rebalancing by pensions and large allocators can move sectors toward target weights.

Relative strength

We measure each sector’s performance and momentum against the S&P 500 to see which way leadership is turning.

Policy and geopolitics: headwinds and tailwinds

Market cycles have compressed. Leadership that once took years to turn can now shift in months, and more often than before the trigger is a policy decision or a geopolitical event rather than the normal business cycle. A tariff announcement, an export restriction or a disruption in energy supply can reprice an entire sector in days.

So alongside the mechanical levers, the model weighs the macroeconomic and policy backdrop for each sector, asking whether current policy is a headwind or a tailwind.

Trade and tariffs

Changes in tariffs and trade agreements shift costs and demand for manufacturers, retailers and companies with global supply chains.

Industrial policy and export controls

Government support for domestic production, and limits on selling advanced technology abroad, directly affect semiconductors, defense and infrastructure.

Energy and geopolitics

Conflicts and supply disruptions in key producing regions move oil and gas prices, with knock-on effects for energy, transportation and industrial sectors.

Fiscal and monetary policy

Government spending priorities and the direction of interest rates favor some sectors over others, from financials and housing to long-duration growth stocks.

When policy and the mechanical signals point the same way, conviction is higher. When they conflict, we treat that as a reason for caution in position size.

How the model reads the cycle

Each sector is placed in one of four phases based on its strength and momentum relative to the broad market.

Improving

Still behind the market, but momentum is turning up.

Leading

Outperforming the market with rising momentum.

Weakening

Still ahead, but momentum is fading.

Lagging

Behind the market with falling momentum.

From these readings the model sets three kinds of positions: sectors to overweight, sectors to hold near market weight, and sectors to avoid entirely. We look to add exposure to sectors moving from improving into leading, and to cut or exit sectors as they weaken and lag. Allocations are reviewed on a regular schedule and adjusted as the signals change.

Rotation within technology

Technology is now the largest sector in the S&P 500, and it does not move as one block. Money rotates inside the sector as well as between sectors, so the model applies the same relative-strength approach to four distinct groups within technology.

Big Tech

The largest platform companies, the Magnificent 7 type names. Their weight in the major indexes means index flows, free cash flow and capital spending plans move them, and they often set the tone for the whole sector.

Semiconductors

The chip makers and equipment suppliers. They respond to the capital spending cycle, especially data center and AI infrastructure build-outs, and to inventory and pricing cycles.

Software

Application and infrastructure software companies. They are driven by subscription growth, how quickly new technology like AI turns into revenue, and interest rates, since much of their value sits in future earnings.

Space

Satellite, launch and space-based communications companies. An emerging group that is highly sensitive to liquidity and risk appetite, and often moves differently from the rest of technology.

Leadership inside technology shifts among these four groups just as it shifts among sectors. When chip makers lead, software may lag; when liquidity loosens, emerging groups like space can move ahead. Tracking the four separately lets us overweight the part of technology that is leading rather than owning the whole sector at once.

How it fits your portfolio

Sector rotation is applied within a diversified portfolio built around your goals, time horizon and tolerance for risk. It works alongside our research-driven investing and risk management process, not in place of it.

Sector rotation strategies involve active trading, may result in higher transaction costs and taxable events, and may concentrate a portfolio in fewer sectors or in segments of the technology sector, which can increase volatility. Emerging industries such as space-related companies may be especially volatile and less established. No investment strategy can guarantee a profit or protect against loss. Past performance is no guarantee of future results.

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