Insight Factor investing foundations: Five equity factors

Factor investing foundations: Five equity factors

Key takeaways

  • Value, size, momentum, volatility and quality use different signals and may respond differently to market conditions.

  • Each factor has a plausible rationale, but may not necessarily be implementable in a straight-forward fashion or has periods when it can underperform.

  • Definitions and portfolio construction are as important as the factor label.

This is the second of a three-part series on the foundations of factor investing. The first article explained what factors are, why factor premiums may exist and how factor investing differs from traditional active management and market-cap-weighted indexing. This second article examines five widely used equity style factors, while the final article explores single- and multi-factor portfolios and active and index-based implementation.

The first article introduced factors as measurable characteristics that may help explain differences in securities’ risk and return. This article moves from the framework to the building blocks. Five factors appear repeatedly in equity research and live strategies: value, size, momentum, volatility, and quality. 

Figure 1 – Key systematic style factors

 Seeks to CaptureCommonly Captured By
ValueExcess returns to securities that have low prices relative to peers with higher prices in the long run.P/B, P/E ratio, cash flow yield; for bonds: P/B, P/E ratio, cash flow yield, duration-hedged yield.
SizeExcess return of smaller firms (by market cap) or issues in bonds relative to their larger counterparts.Market capitalization (full or free float) for equities and issue size in bonds.
MomentumExcess returns to securities with stronger past performance.Relative returns (6-month, 12-month, usually excluding the most recent 1 month), earnings revisions.
VolatilityExcess risk-adjusted returns to securities with lower than average volatility or beta.Standard deviation (1-year, 2-year, 3-year), downside standard deviation, standard deviation of idiosyncratic returns, beta.
QualityExcess returns to stocks characterized by low debt, stable earnings growth, profitability, and other "quality" metrics.Return on equity, earnings stability, dividend growth stability, strength of balance sheet, financial leverage; for bonds: short duration, high credit quality, or low volatility.

Source: Invesco. Simplified schematic representation for illustrative purposes only.

Value: paying less for fundamentals

Value strategies favor securities priced at a discount relative to measures of fundamentals. Common metrics include earnings, book value, dividends and cash flow. The rationale is intuitive: investors may overpay for attractive growth stories or become too pessimistic about companies facing temporary difficulties. Alternatively, cheaper companies may carry greater economic or financial risk, and the prospective premium may compensate investors for bearing it.

The main challenge is distinguishing a mispriced company from one whose low valuation reflects deteriorating fundamentals. Accounting measures may also become less informative for businesses built around intangible assets. For this reason, many strategies combine several valuation measures and introduce quality or momentum checks to reduce exposure to potential “value traps”.

Size: looking beyond the largest companies

The size factor tilts toward smaller companies. Possible explanations include lower liquidity, less analyst coverage and greater sensitivity to financing conditions or the economic cycle. Smaller companies may also have more room to grow, although growth alone does not ensure attractive returns.

The academic evidence for size is less consistent than for some other factors and can depend on how micro-cap stocks, liquidity and quality are treated. Low Size strategies tend to load higher on equity market beta, which explains large parts of a potential Size premium. Furthermore, implementation at scale is limited for the factor given the comparatively low size of the stocks and thus liquidity of the strategy. Size may nevertheless influence portfolio construction by reducing the dominance of the largest companies and broadening the opportunity set. Investors should examine whether a strategy is capturing a genuine small-company effect or simply taking unintended liquidity and quality risks.

Volatility: challenging a simple risk-return assumption

Volatility strategies favor securities whose prices have fluctuated less than those of their peers. Historically, low volatility equities have often delivered stronger risk-adjusted returns than a simple model would suggest. One explanation is that leverage constraints encourage investors seeking higher returns to buy high-beta securities, making them relatively expensive. Benchmark pressure and a preference for exciting stocks may reinforce the effect.

Low volatility portfolios could develop sector or interest rate sensitivities because defensive industries often dominate the eligible set. They may also lag sharply in fast, speculative rallies. The objective is not to eliminate loss, but to reshape the pattern of equity risk. Construction constraints are important if investors want lower volatility without excessive concentration.

Momentum: following persistent trends

Momentum favors recent winners and reduces exposure to recent losers. It is commonly linked to behavioral biases: investors may absorb new information gradually, anchor to old expectations or follow existing trends. Earnings revisions may provide a related signal because changing analyst expectations may precede full adjustment in market prices.

Momentum may diversify value because the two often favor different securities. However, it could involve high turnover and may suffer abrupt reversals when market leadership changes. Signal diversification, trading discipline and controls around crowded positions are therefore particularly important.

Quality: focusing on resilient businesses

Quality strategies seek companies with characteristics such as strong profitability, stable earnings, healthy cash generation and conservative balance sheets. The rationale is that markets may underappreciate the persistence of good businesses or overpay for more speculative opportunities. Quality may also provide resilience when economic conditions weaken.

Quality is harder to define than its label implies. Brand strength, management capability and competitive advantage may be economically important but difficult to quantify. A narrow screen can also exclude young companies that are reinvesting heavily. Robust strategies therefore tend to use multiple observable measures while recognizing what the data cannot capture.

Why definitions matter

Two strategies carrying the same factor label may have materially different portfolios. A value strategy based on book value may differ from one based on cash-flow yield. A quality portfolio focused on profitability may not resemble one built around low leverage. Rebalancing schedules, sector limits, security weighting and transaction-cost controls create further differences.

Investors can therefore look beyond labels and ask three questions: What is the signal? How is it translated into holdings? What risks emerge from that process? This due diligence helps separate intended factor exposure from unintended bets.

Figure 2 – Factor strategies - Historical index data shows outperformance potential

Source: Invesco, MSCI from Dec 29, 2000, to Dec 31, 2025 (total return, in USD). For illustrative purposes only. Indices: Size = MSCI World Small Cap; Momentum: MSCI World Momentum; Value = MSCI World Value Weighted; Volatility: MSCI World Min. Volatility; Quality = MSCI World Quality. All of the factor indices shown have been created comparatively recently, and therefore, contain elements of hindsight and selection bias. All information presented prior to the inception dates are back-tested. Back-tested performance is not actual performance but is hypothetical. Although back-tested data may be prepared with the benefit of hindsight, these calculations are based on the same methodology that was in effect when the index was officially launched. Index returns do not reflect payment of any sales charges or fees. Performance, actual or hypothetical is not a guarantee of future results. An investment cannot be made in an index.

No factor leads in every environment

Factors may experience long periods of relative weakness. Value may struggle when investors favor rapidly growing companies. Momentum may reverse when market leadership turns abruptly. Smaller companies may be vulnerable when liquidity tightens. Low volatility and quality may lag in strong risk-on rallies. These patterns are observations, not reliable timing rules. Economic turning points are difficult to identify consistently in advance.

This uneven behavior creates the bridge to Article 3. If factors are distinct and leadership rotates unpredictably, investors need to decide whether to hold a single factor, combine several, or use factors to complement existing managers. The final article addresses those choices and focuses on implementation rather than labels.

Investment Risks

The value of investments and any income will fluctuate (this may partly be the result of exchange-rate fluctuations), and investors may not get back the full amount invested. The information is provided for illustrative purposes only and does not represent investment advice or an offer to buy or sell any investment strategy.

About the Invesco Quantitative Strategies (IQS) team

Invesco’s Quantitative Strategies team combines global expertise with a collaborative approach to deliver systematic equity solutions. With decades of experience and advanced research capabilities, we focus on innovative portfolio construction and multi-factor strategies designed to help clients achieve consistent, risk-adjusted outcomes.

The idea of systematic or quantitative investing comes from the insight that emotions can hinder success in investing. Systematic strategies look for evidence about certain characteristics of securities which explain part of their risk or returns, so-called factors.

In a systematic approach, investment portfolios are constructed by analysing a big variety of data to understand economic and company trends.

Data can come from fundamental data on companies such as balance sheet items, price signals or alternative data sources such as credit card data, NLP analysis of earnings calls or even the coverage of analysts.

These insights can be used to construct portfolios based on client needs and risk profiles in both active mutual funds and ETFs.

A factor is a quantifiable characteristic of a stock. A multi-factor investment approach invests in a group of stocks with similar characteristics. For example, this could be low P/E ratios, low volatility, high dividend yields or low market capitalisation.

Our team focuses on the factors - value, momentum and quality. In the value factor, we examine stocks are examined that have attractive valuations. Momentum looks at the price and or earnings dynamics of a stock. In the quality factor, we examine the balance sheet strength, management and profitability of a company.

The importance of portfolio construction is often underestimated even by experienced quantitative investors. People tend to focus on the data (the machine of your racing car) but this does not help if that car has no wheels. Portfolio construction is similar: our portfolio construction is designed to transfer as much of our research insights into the portfolios while focussing on strict risk controls and a state-of-the-art management of transaction costs.

Our investment process is highly flexible when it comes to tailoring to our investors need. A particular area of customisation is ESG integration. In addition to ESG expertise and an ability to handle huge amounts of data, ESG integration also ultimately comes down to portfolio construction.

We have developed a particularly smart two-step process to integrate ESG in a most transparent way. It allows for disentangling of ESG and return factors, helps ESG risk budgeting and enables precise attribution analysis. We integrate ESG in both a variety of standard funds as well as in segregated accounts with particular customisation.

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