Efficient Market Theory · four ideas0 of 4 ideas marked read on this device

Free course · Module 9

Efficient Market Theory

If the news is public, who else has already acted on it? Learn what market efficiency claims, what it leaves uncertain and how to judge an apparent edge after costs.

Written by the StockEducation Editorial Team · Reviewed by Associate Professor Charles Lo, CPA, PhD · Updated 15 Oct 2026 · How we check lessons

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Idea 1 of 4

Start with what the market could know.

The efficient-market hypothesis asks whether prices reflect the information available to investors. Fama’s framework distinguishes past price information, public disclosures and private information. It concerns the difficulty of earning an advantage from an information set, not whether tomorrow’s price is known. Source 1.

The forms below define different questions to test. They are not permanent grades assigned to a stock, and they do not promise that an investment cannot lose money.

01 · Weak

Past prices

Can historical price patterns provide a persistent advantage?

02 · Semi-strong

Public information

How do prices respond to public announcements and disclosures?

03 · Strong

Private information

Is even privately held information already reflected in prices?

Different information sets. Different tests.

The strong form makes the broadest claim. It should not be assumed to describe actual markets.

Conceptual illustration of the three traditional information sets. These questions summarize the framework; they do not settle the evidence for a particular market or strategy.
Does efficiency mean every investor is rational or every price is perfect?

A hypothesis about prices The theory does not require treating every individual decision as sensible. New information, uncertainty and competing judgments can coexist with rapid price adjustment.

An empirical question Evidence depends on the information set, period, costs and model of expected returns. A successful trade alone cannot distinguish skill, risk exposure and chance. Source 2.

Remember this

Name the information set before judging the claim.

Marks Idea 1 read on this device

Idea 2 of 4

A public headline is not a private advantage.

A correct headline may offer little advantage if others have already processed it. In this hypothetical example, a company publishes unexpected earnings news. Its share was $50 before the news and is later quoted at $55. Reading the same announcement later does not let you buy at the earlier price.

The change is observable; its cause needs investigation. Other news, market conditions and trading can also affect a price. There is no universal one-second adjustment rule, and a daily chart cannot establish the exact reaction time.

Before the announcement$50Earlier quoted price
After the announcement$55Later quoted price
Price change in the example+$5
Change relative to $50+10%
Hypothetical prices, not a real company or measured event study. No elapsed time is implied. The illustration does not attribute the entire move to one announcement or promise a profitable trade.
Is there still a reason to read company filings?

Understand what you own A filing can explain the business, risks, debt, cash flows and management’s assumptions. Research remains useful even if it does not produce a trading advantage.

Separate knowledge from an edge Knowing a public fact and earning extra risk-adjusted returns from it are different achievements. Ask what is new, what others expected and what price already reflects.

Remember this

Public information can be useful without giving you a trading head start.

Marks Idea 2 read on this device

Idea 3 of 4

Compare what investors keep after costs.

Judge a strategy against a suitable comparison after costs. A higher headline return may reflect more risk, a different investment universe or an unusually favorable period. Fees and trading costs can also reverse a small apparent advantage.

Suppose Strategy A earns 10% before a cost drag of 2 percentage points. Comparison B earns 9% before a drag of 0.2 points. Their modeled net returns are 8% and 8.8%. A starts ahead before costs and ends behind afterward.

Strategy A
Gross return10%
Cost drag2 points
Comparison B
Gross return9%
Cost drag0.2 points
A · modeled net return8%
B · modeled net return8.8%
One-period hypothetical arithmetic: net return = gross return minus cost drag, expressed in percentage points. These are assumed total drags, not quoted expense ratios or exact fee-charging mechanics. Taxes and cash flows are excluded; risk comparability is assumed.
What does the original SPIVA comparison show?

A dated fund-category result SPIVA’s Year-End 2023 Report 1a shows 87.42% of active US large-cap funds underperforming the S&P 500 over the ten years ended December 31, 2023. This is the original lesson’s historical period, not a current forecast. Source 3.

Read the method The report uses the starting opportunity set, including later closures and mergers. Fund returns are net of fees, excluding sales loads. The result is an absolute-return comparison, not proof that every price was correct or that future managers must fail.

What did Buffett’s ten-year wager establish?

The reported scorecard Berkshire’s 2017 letter reports a 125.8% cumulative gain for the S&P index fund in the 2008 to 2017 bet. The five selected funds-of-funds had reported gains of 21.7%, 42.3%, 87.7%, 2.8% and 27.0%. Fund D was liquidated in 2017. Source 4.

Keep the inference narrow The index fund beat those selected alternatives in that wager. It did not prove that every active strategy always loses or settle the efficient-market hypothesis. Costs, selection, risk and period all matter.

Remember this

A headline return is the start of a comparison, not the conclusion.

Marks Idea 3 read on this device

Idea 4 of 4

Test the edge you think you have.

Make an apparent edge survive a fair comparison. Use this local exercise to change gross returns and assumed cost drags. Then write which benchmark, risk exposures, dates and costs you would need before treating a real result as evidence of skill.

Compare one-period returns after costs

Hypothetical · no trade
A · modeled net return8%
B · modeled net return8.8%

A minus B: -0.8 percentage points

Net = gross return minus cost drag. One period; no tax, cash flows or risk adjustment. Inputs are assumptions, not forecasts.

  1. Start with the default. Explain why A wins before costs but loses afterward.
  2. Set both gross returns to 9% and both cost drags to 0.2 points. Explain why equal modeled returns do not establish equal risk.
  3. Choose a public performance claim. Record its benchmark, dates, information available at the time, risk and full costs. Note what is still unknown.
Open the stock chart →

Use a chart to identify dated observations, not to claim an exact news reaction time from daily bars. This practice and the reading ticks do not record LMS completion.

Does one winner disprove efficiency, or one loser prove it?

Skill, luck and risk A strong result can come from skill, chance, unusual risk or a favorable sample. A weak result can have several explanations too. Check the full record rather than selecting only the winning period.

Avoid hindsight Use information available before the result. Include unsuccessful and closed strategies, compare suitable risks and account for costs. Neither a short track record nor a hypothetical backtest guarantees a repeatable advantage.

Remember this

Define the test before you look at the result.

Marks Idea 4 read on this device

Quick check

Three quick checks. Feedback straight away.

Question 1 of 3

Which question belongs to a semi-strong-form efficiency test?

Why can a true public headline offer little trading advantage?

Others can act too The information is available to competing investors. By the time you read it, the price may reflect their interpretation. You cannot assume the earlier quoted price remains available.

Expectations matter An apparently good announcement can still disappoint expectations, while a weak result can be less bad than expected. Inspect what was new and what was already anticipated, rather than treating the headline as a guaranteed price signal.

You finished Efficient Market Theory.

You can distinguish the three information sets, explain why public news may offer no head start and compare an apparent edge after costs. Keep learning in the next lesson.

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Review your takeaway card and the learning path
  • Name the information set. Past prices, public information and private information ask different questions.
  • Separate information from an edge. Useful research does not automatically yield extra returns.
  • Compare after costs and risk. A higher headline return can mislead.
  • Keep the inference narrow. A wager, fund statistic or single trade does not settle an entire theory.
See the learning path →

Reading markers and these practice checks stay on this device. They do not mark the LMS lesson complete.

Sources and assumptions

  1. Eugene Fama, Efficient Capital Markets: A Review of Theory and Empirical Work, 1970. Original Journal of Finance paper, hosted by HEC Paris. Traditional information-set framework.
  2. Eugene Fama, Efficient Capital Markets: II, 1991. Publisher research summary distinguishes past-return predictability, public-announcement studies and private-information tests, and discusses testing efficiency with a pricing model.
  3. S&P Dow Jones Indices, SPIVA U.S. Year-End 2023. Report 1a, printed page 10: ten-year All Large-Cap Funds 87.42% underperformance; methodology on opportunity sets and returns net of fees excluding loads.
  4. Berkshire Hathaway, 2017 shareholder letter. Printed pages 11 to 12, final 2008 to 2017 wager scorecard and fund D liquidation footnote. Reported cumulative gains, not annual returns or a universal active-manager result.

Sources checked 15 October 2026. SPIVA uses the original lesson’s period ending 2023; the wager ended 2017. These are dated examples, not current forecasts. Share prices, return scenarios and cost drags are hypothetical. General education only; no personal financial advice or native LMS completion is implied.

StockEducation provides general education, not personal financial, tax or legal advice. Nothing here recommends a specific security. Investing involves risk, including loss of money you invest.

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