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Fischer Black

Economist and co-author of the Black and Scholes model

Born 1938 • Passed away 1995

Helped create modern option pricing theory and wrote on noise and uncertainty in financial markets.

Biography

Fischer Black was an American economist, born in Washington DC in 1938. His training was not in economics: he took a first degree in physics at Harvard and a doctorate there in applied mathematics in 1964. He moved into finance through consulting work at Arthur D. Little, where Jack Treynor introduced him to the subject.

He taught at the University of Chicago from 1971 and at the Massachusetts Institute of Technology from 1975. With Myron Scholes he wrote The Pricing of Options and Corporate Liabilities, published in the Journal of Political Economy in 1973 after being rejected elsewhere. The paper derives what an option should cost from the observation that a position in the option can be offset continuously by a position in the underlying share, so that the combination carries no risk and must therefore earn the risk-free rate. Robert Merton published a related paper the same year giving an alternative derivation and generalising the result, and it was Merton who attached the name Black-Scholes to it. The Chicago Board Options Exchange opened for trading in the same year.

In 1984 he did something unusual for a leading academic and joined Goldman Sachs, where he stayed for the rest of his career. With Robert Litterman he developed the Black-Litterman model, an approach to portfolio allocation that starts from the returns implied by market weights and then adjusts them for an investor's specific views, which addressed the tendency of earlier optimisers to produce extreme allocations from small changes in inputs.

His 1986 presidential address to the American Finance Association, published as Noise, is the paper investors should read. In it he argues that trading on information that is not really information is what supplies liquidity and simultaneously prevents prices from being precise. He offered a definition of an efficient market that is startling coming from a founder of modern finance: one in which price is within a factor of two of value, at least most of the time. He passed away in 1995, aged 57.

Career timeline

  1. 1938
    Born in Washington DC.
  2. 1959
    Graduates from Harvard University with a degree in physics.
  3. 1964
    Completes a doctorate in applied mathematics at Harvard.
  4. 1971
    Joins the University of Chicago.
  5. 1973
    Publishes The Pricing of Options and Corporate Liabilities with Myron Scholes.
  6. 1975
    Moves to the Massachusetts Institute of Technology.
  7. 1984
    Joins Goldman Sachs, remaining there for the rest of his career.
  8. 1986
    Delivers and publishes Noise as his presidential address to the American Finance Association.
  9. 1990
    Develops the Black-Litterman allocation model with Robert Litterman.
  10. 1995
    Passes away at the age of 57.

Pricing precisely, and knowing what that is worth

The option pricing argument rests on a single idea that is easy to state and was not obvious before. If you hold an option and simultaneously hold an offsetting position in the underlying share, adjusted continuously as the price moves, the combination has no risk. Anything with no risk must earn the risk-free rate, or there is an arbitrage. That constraint alone is enough to determine what the option must cost, and notably it does not require knowing whether the share will rise or fall. The expected return of the underlying drops out of the formula entirely, which is the part that surprised people.

What makes Black interesting rather than merely important is that he spent the second half of his career explaining the limits of that kind of precision. Noise argues that markets need participants who trade on things that are not really information, because without them there would be nobody to take the other side and no liquidity. The same noise that makes trading possible is what stops prices from being accurate, so liquidity and precision are in tension rather than being two names for a healthy market.

His definition of efficiency follows from that and is unusually humble. Rather than treating price as equal to value, he suggested that a market is efficient if price sits within a factor of two of value most of the time, and observed that by this standard essentially all markets are efficient essentially always. The point is not cynicism; it is that the standard being defended in the literature was far stronger than the evidence supported.

The Black-Litterman work applies the same scepticism to portfolio construction. Earlier optimisers took expected returns as inputs and produced wildly concentrated allocations, because small errors in those inputs dominated the result. His approach starts instead from the returns implied by what the market already holds and adjusts for specific views, which keeps the output stable when the inputs are uncertain, as they always are.

Key ideas

Tap any idea to expand a plain-English explanation, why it matters, and where to learn more.

Pricing by replication

An option can be offset continuously with the underlying share so the combination is riskless, which forces its price.

Why it matters

It determines the value without needing any forecast of the share, which is why the expected return drops out of the formula.

Example

Any other price would allow a riskless profit, so it cannot persist.

Noise is what makes markets work

Trading on things that are not really information supplies the liquidity that lets informed participants transact at all.

Why it matters

It means liquidity and price accuracy are in tension, rather than both being symptoms of a healthy market.

Example

Without uninformed participants there would frequently be nobody on the other side.

Efficient within a factor of two

His proposed standard: a market is efficient if price sits within a factor of two of value most of the time.

Why it matters

It is a deliberately loose definition from a founder of the field, aimed at claims far stronger than the evidence supported.

Example

By that standard almost all markets qualify almost always, which was rather his point.

Volatility is the input you cannot observe

Every input to the formula is observable except the future volatility of the underlying, which must be estimated.

Why it matters

It locates the model's real uncertainty in one place, and is why implied volatility became something traders watch directly.

Example

Working the formula backwards from a market price yields the volatility the market is assuming.

Stable allocations from unstable inputs

The Black-Litterman approach starts from market-implied returns and adjusts for views, rather than taking return forecasts as raw inputs.

Why it matters

It addresses the tendency of earlier optimisers to produce extreme portfolios from small estimation errors.

Example

A minor change in an expected return input could previously swing an allocation dramatically.

Major contributions

  • Co-authored The Pricing of Options and Corporate Liabilities with Myron Scholes, published in 1973.
  • Wrote Noise, arguing that uninformed trading supplies liquidity while limiting price accuracy.
  • Developed the Black-Litterman portfolio allocation model with Robert Litterman.
  • Worked on extensions to the capital asset pricing model, including the zero-beta formulation.
  • Moved from academia to Goldman Sachs in 1984, applying the research in practice for a decade.

Major successes

  • Published the option pricing paper in 1973, the same year the Chicago Board Options Exchange opened.
  • Served as president of the American Finance Association and delivered the Noise address in 1986.
  • Held faculty positions at the University of Chicago and the Massachusetts Institute of Technology.
  • Built and led quantitative research work at Goldman Sachs from 1984.

Important books

  • The Pricing of Options and Corporate Liabilities1973

    A paper rather than a book, written with Myron Scholes. Derives an option's price from the argument that a continuously hedged position must be riskless.

  • Noise1986

    His American Finance Association presidential address, arguing that uninformed trading is what makes markets liquid and simultaneously imprecise.

  • Exploring General Equilibrium1995

    A late book applying his framework across business cycles, monetary questions and asset pricing.

Influence on investors

Option pricing became infrastructure rather than a theory. Derivatives markets, employee share options, convertible securities and the practice of quoting implied volatility all depend on the framework this paper established.

Noise had a different kind of influence. It gave later behavioural and market-microstructure researchers a respectable footing for arguing that prices are only approximately right, made by someone whose credentials in the efficient-market tradition were beyond question.

The Black-Litterman model is standard in institutional allocation, largely because it produces portfolios that remain sensible when the return estimates feeding it are uncertain.

Criticisms and debates

A balanced view includes the main criticisms and open debates, presented neutrally.

  • The model assumes constant volatility and lognormally distributed returns, and the observed volatility smile shows that the market does not price as those assumptions imply.
  • It assumes continuous hedging at no transaction cost, which cannot be done, so any real implementation departs from the derivation.
  • It understates the likelihood of extreme moves, which is precisely where large losses occur, and the 1987 crash is the standard illustration.
  • Widespread use of a shared model can synchronise behaviour, a criticism made after 1987 about hedging strategies built on this framework.
  • His own Noise argument sits awkwardly with the strong efficiency claims that others in the field built partly on his work.

Lessons for investors

Plain-English takeaways. Context for learning, not advice to buy or sell anything.

  • 1Notice that a pricing model can be precise and still rest on assumptions that fail exactly when it matters.
  • 2Treat implied volatility as the market telling you what it assumes, rather than as a fact.
  • 3Remember that liquidity is supplied partly by people trading on nothing, which is why it disappears under stress.
  • 4Prefer methods whose output stays sensible when the inputs are uncertain, because the inputs always are.

Notable quotes

“Noise makes it very difficult to test either practical or academic theories about how financial markets work.”

Sourced: Noise, 1986

Context: From an address on why real market data is so hard to draw firm conclusions from.

See Fischer Black in the quote library

Frequently asked questions

Who was Fischer Black?

Fischer Black was an American economist born in 1938, trained in physics and applied mathematics, who co-authored the 1973 option pricing paper with Myron Scholes and later worked at Goldman Sachs. He passed away in 1995 at the age of 57.

Did Fischer Black receive the Nobel Prize?

No. The 1997 Nobel Memorial Prize for the option pricing work went to Myron Scholes and Robert Merton. Black had passed away in 1995, and the prize is not awarded posthumously; the Academy noted his contribution.

What does the option pricing formula do?

It determines what an option should cost, from the argument that an option position offset continuously with the underlying share carries no risk and must therefore earn the risk-free rate. The expected return of the share does not appear in it.

What is the Noise paper about?

It argues that people trading on things that are not really information supply the liquidity markets need, and that the same noise prevents prices from being precise. He proposed that a market is efficient if price is within a factor of two of value.

What is implied volatility?

Volatility is the one input to the formula that cannot be observed directly. Working the formula backwards from a traded option price gives the volatility the market is assuming, which is why traders watch that number itself.

What is the Black-Litterman model?

A portfolio allocation approach he developed with Robert Litterman that starts from the returns implied by market weights and adjusts for an investor's views, avoiding the extreme allocations earlier optimisers produced from small input errors.

Related quotes

Other people in the library writing on the same themes.

Philosophies Fischer Black is associated with

Schools of thought whose practitioner list names them. Association is not endorsement of the approach.

Related guides

Related concepts

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