Sector Rotation Strategy

Research shows a large share of a stock's return comes from its sector. When the energy sector rises, most oil and gas stocks rise. When mining falls on weak China data, even the best miner struggles. By being in the right sector, you capture the majority of returns without needing to pick individual winners.

Review rankings weekly but only rebalance monthly or when significant rank changes occur (3+ positions). A minimum holding period of 10 days prevents excessive turnover - which matters even more in the UK, where each share switch triggers 0.5% SDRT and dealing costs. Typical rotation holds sectors for 2-8 weeks before switching.

If no sector is outperforming the FTSE 100 (all RS < 1.0), the market may be in a broad decline or highly correlated. Options: 1) increase cash allocation, 2) focus on the least-negative RS sectors, 3) add defensive sectors regardless of RS. This is a 'no sector leadership' signal.

Not recommended. Concentration in one sector creates high risk if that sector reverses. Diversifying across the top 3 sectors provides better risk-adjusted returns. A maximum of 25% in any single sector is the guideline.

For ETF-based rotation: roughly GBP 30,000-50,000 is sufficient (pan-European sector ETFs, SDRT-exempt). For leader-stock baskets: around GBP 50,000-80,000 to hold multiple positions per sector with sensible dealing-cost ratios. CFDs/spread bets need less capital but add leverage and risk. Start with ETFs or a small set of leader baskets if capital is limited, and keep turnover low to control SDRT and costs.

Most UK sectors lack a liquid pure-domestic ETF, so create a basket of the top 3-5 leader stocks with equal weight, or use the relevant pan-European sector ETF (e.g., iShares STOXX Europe 600 Banks/Energy/Health Care) as a proxy. Example: Banks = HSBC + Barclays + Lloyds + NatWest. Baskets give pure-UK exposure and stock-level flexibility; ETFs give one-ticket simplicity and avoid SDRT but add non-UK exposure.

Best results come from combining both. RS is backward-looking (what's working now). The economic cycle is forward-looking (what should work next). Use cycle analysis to anticipate sector leadership, then confirm with RS. Cycle + RS aligned = highest conviction.

Long the leading sector + short the lagging sector simultaneously, so you profit from relative outperformance regardless of market direction. With no retail sector futures, build the pair with sector CFDs/spread bets or two baskets of leader stocks (long one, short the other). Beta-adjust the sizes and monitor the spread, not the individual legs. Example: Long Mining + Short Consumer Staples. Spread-bet profits are currently tax-free for non-professionals; CFD profits are subject to CGT.

Common failures: 1) highly correlated markets where all sectors move together, 2) sudden macro shocks that override technical signals, 3) over-rotation in choppy markets (whipsaws, made worse by UK SDRT and dealing costs), 4) ignoring fundamental drivers that override RS. Use filters and fundamental awareness, and keep turnover disciplined, to reduce failures.

Three approaches, adapted to a thinner UK options market: 1) protective hedges using FTSE 100 index puts (portfolio-level) or puts on large liquid leaders, 2) covered calls on liquid leaders or sector-ETF positions to generate income in steady trends, 3) leveraged exposure via calls on liquid leaders or via CFDs/spread bets. Match the approach to your conviction and to which instruments are actually liquid for a given name.

Multi-factor approach: RS momentum (35-40%), RS ratio (25%), Trend (20%), Breadth (15%), Volatility (5%). Walk-forward optimise the weights over 5+ years and net off 0.5% SDRT and dealing costs (UK turnover is costly). Adapt to regime (pure momentum in trends, add mean reversion in choppy markets). Benchmark against the FTSE All-Share/350 rather than the mega-cap-concentrated FTSE 100. Target: 3-5% alpha over the benchmark, Sharpe > 1.0, information ratio > 0.5 - validated out-of-sample and monitored live.

Carefully and sparingly. On this platform ML is never a standalone screener or automated selector; disciplined, rule-based analysis governs every decision. The UK is especially treacherous for ML here: few liquid sectors and a concentrated benchmark mean very few independent observations, so models overfit, and transaction costs can erase any modelled edge. If used at all, an ML estimate is one supplementary cross-check alongside traditional RS and fundamental drivers; a disagreement is a reason to investigate, not to defer. Backtested edges frequently fail live, so validate out-of-sample, net off costs, monitor live, and retire decayed models.

Risk parity allocates based on volatility (weight = 1/volatility), so each sector contributes equal risk. Low-vol sectors (Consumer Staples, Utilities) get a higher weight, high-vol sectors (Mining, Energy) a lower weight. This results in a better Sharpe ratio and smaller drawdowns versus equal weight. It combines momentum selection with risk-based allocation - though in the UK, prefer threshold rebalancing or ETF legs to limit SDRT and dealing costs from frequent reweighting.

Core (40-50%) in a FTSE 100 / diversified equity holding for market beta. Rotation sleeve (30-40%) for active sector alpha. Tactical (10-20%) for special situations. Defensive (5-10%) in gold/gilts. Track the rotation separately - it should add uncorrelated alpha. Rebalance monthly with threshold triggers, and hold the high-turnover sleeve within an ISA/SIPP where possible to shelter gains from CGT.

Key metrics: absolute return, excess return vs the FTSE benchmark (alpha), Sharpe ratio, information ratio (alpha consistency), and maximum drawdown - all net of SDRT and dealing costs. Attribution: sector-selection effect vs timing vs sizing. Correlation with the benchmark (low = good diversification). Target: 3-5% annual net alpha, Sharpe > 1.0, correlation < 0.8.