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Value, momentum and quality: three factors in plain language

Ask someone who has rented out flats for twenty years which ones retain their value over time. They will not list individual addresses. They will talk about characteristics: location, construction, light and clean paperwork. They can be wrong about one flat, but those characteristics matter across a hundred.

Equity markets have a similar way of thinking, known as factor investing. A factor is a measurable characteristic shared by many companies that research has associated with differences in long-run returns. Factor investing applies the same rules, written in advance, across a broad set of stocks instead of guessing the fate of one company. Every claim concerns a group average, not one stock. There are no guarantees even for the group. Historical patterns can weaken or reverse for long periods.

Three factors in ordinary language

Researchers have described dozens of factors. Three of the best studied are also among the easiest to understand.

The value factor. The rule looks for stocks with a lower price relative to book value, earnings or other company fundamentals. In 1992, Eugene Fama and Kenneth French showed that book-to-market ratios strongly described differences in average returns among US stocks. Be careful with the word undervalued. The rule measures a relative price; it does not prove that a business is worth more. Some companies are cheap for good reason.

The momentum factor. The rule ranks stocks by their returns over the previous few months to one year. In 1993, Narasimhan Jegadeesh and Sheridan Titman documented that past winners in their samples continued, on average, to outperform past losers for a time. This does not mean buying whatever happens to be fashionable. It is a consistent ranking of the full stock universe, with rules set in advance for when a position changes.

The quality factor. The rule favours profitable, financially sound and stable companies. Profitability is its best-studied component. Robert Novy-Marx showed in 2013 that gross profit relative to assets separated groups of companies with different average returns. Broader definitions, such as Quality Minus Junk by Asness, Frazzini and Pedersen, also include growth, safety and payouts to owners. Quality is therefore a family of related measures, not one formula.

Factor What the rule measures What the group rule assumes
value price relative to book value, earnings or other fundamentals that unpopular, cheaper companies as a group may earn higher average returns than expensive ones
momentum a stock's return over the previous few months to one year that recent trends may continue for a time on average
quality profitability, debt and business stability that the market sometimes prices stable, well-run companies too low
Diagram: the same set of companies sorted three times, by value, momentum and quality. Companies A, B and C sit in different places because each rule measures a different characteristic. No numbers and no returns.
Diagram: the same set of companies sorted three times, by value, momentum and quality. Companies A, B and C sit in different places because each rule measures a different characteristic. No numbers and no returns.

These patterns do not rest on one US dataset. In 2012, Fama and French found value in North America, Europe, Japan and Asia Pacific, and momentum in every one of those regions except Japan. Asness, Moskowitz and Pedersen found related value and momentum patterns in eight markets and several asset classes. The authors of Quality Minus Junk tested their broader quality definition in the US and 24 countries. Broad evidence does not mean that a factor works everywhere and at all times. Japanese momentum is a serious exception, not a footnote.

Why might these differences persist?

If everyone knows the pattern, why does the market not remove it? Research offers three overlapping explanations, none of them proven conclusively. In our view, investor behaviour and institutional constraints explain most of it, while part may remain fair compensation for risk.

First, behaviour. People tend to extend recent growth too far into the future. We assign too much value to attractive stories and too little to dull or disappointing companies. Lakonishok, Shleifer and Vishny showed how this kind of extrapolation can create the price differences used by the value factor. Momentum has a related explanation. Hong and Stein showed how information can spread slowly among investors, causing prices to adjust to news gradually rather than in one step.

Second, institutional constraints. Professional managers have benchmarks, mandates, borrowing limits and clients who withdraw capital after losses. Shleifer and Vishny showed that capital capable of correcting a pricing error may leave precisely when that error is largest. A mispricing can therefore persist even when many investors see it.

Third, risk. Part of the historical difference may compensate investors for bearing risks that others avoid. This is clearest among the smallest companies. Their shares are less liquid, expensive to trade and unable to absorb much capital. Smaller companies also tend to have fewer analysts following them than large ones. The same group carries an opposite warning. Hou, Xue and Zhang retested a large number of published return patterns. Many disappeared when the smallest stocks no longer received excessive weight. Part of the measured difference was therefore a result of the measurement method rather than compensation for risk. A simple risk story is hardest for quality because profitable companies tend to be less, not more, fragile. Its behavioural explanation is also the least settled. The evidence that profitability predicts returns is stronger than the evidence for why the market might overlook it.

Cliff Asness of AQR offers a useful middle ground. A factor can persist because some investors bear risk while others repeat mistakes. As more people learn the pattern, any premium may shrink without disappearing entirely. This is a manager's reasoned opinion, not proof.

An honest account includes the bad years

A factor portfolio deliberately differs from the market, so it will look wrong for long periods. Linnainmaa and Kalesnik of Research Affiliates count this among the most overlooked risks of factor investing. Each of these three factors has spent years lagging the broad market. Momentum also suffers rare but severe episodes. Daniel and Moskowitz documented momentum crashes during sharp recoveries after market panics. An investor who abandons the rule in the middle of such a period sells when staying with it is hardest. Cullen Roche, author of the Pragmatic Capitalism blog, asks how many investors can really endure that long. We take the question seriously because even a good rule is of little use if the investor cannot live with it.

Implementation is not free either. Momentum requires substantial trading, so costs, bid-ask spreads and fees can consume part of the pattern measured on paper. Novy-Marx and Velikov showed how much depends on turnover. Wesley Gray of Alpha Architect points to another trap. A fund or portfolio carrying a factor label is not the same as the research portfolio in a paper, and two solutions with the same label can hold very different investments. McLean and Pontiff also showed that published patterns tend to weaken outside their original data periods. Moderate expectations are part of an honest explanation, not pessimism.

Rules instead of forecasts

Factor investing does not promise that the future will repeat the past. It offers something more modest and, in our view, more useful: rules written in advance, which you understand before investing and which do not require guesses about individual companies. At JonatanMars Invest, value, momentum and quality are part of a systematic, research-based process for which a named person is accountable. There are no guarantees. There is a process we can explain, including the periods when it will look as if it is not working.

We publish new articles on the Insights page. If you want to understand what a systematic approach means in practice, you can book a free consultation with no obligation.

Frequently asked questions

Does factor investing guarantee higher returns?

No. Factors describe historical differences in the average returns of groups of stocks. Each has endured long periods of underperformance, and nobody can guarantee that historical patterns will repeat.

Is momentum the same as buying fashionable stocks?

No. Momentum is a predefined rule that ranks a full stock universe by returns over recent months and changes positions through a clear process. Chasing fashionable stocks means making case-by-case decisions, usually without an exit rule.

Is every value stock undervalued?

No. The value factor measures relative price against fundamentals. Some companies are cheap because their business is deteriorating. The rule is therefore applied across broad, diversified groups of stocks, not to one name.

Why do factors not disappear once everybody knows about them?

Part of the difference may compensate for risks many investors do not want to bear. Part may arise from repeated behavioural errors and institutional constraints that are hard to remove. Any premium can still shrink as the approach becomes more widely used.

How long can a factor lag the market?

For several years in a row. All three factors have experienced extended periods behind the broad market. Momentum also has rare but severe crashes during sharp rebounds after market panics. Investors unable to hold factors through such periods are unlikely to benefit from them.

Are factors suitable for me?

A general article cannot answer that. Suitability depends on your assets, goals and attitude to risk. This is a general explanation, not personal investment advice. A consultation is the right place to discuss your circumstances.

Sources


This is a marketing communication and general educational material, not personal investment advice.

Investing involves risk. The value of investments may fall as well as rise, and you may receive less than you invested. Past and any simulated or tested returns are not a reliable indicator of future returns. Tax treatment depends on personal circumstances and applicable law, both of which may change.

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