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Black–Scholes model

Black–Scholes model is a mathematics topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Black–Scholes model rather than just read about it. In short: The Black–Scholes or Black–Scholes–Merton model is a mathematical model for the dynamics of a financial market containing derivative investment instruments. From the parabolic partial differential equation in the model, known as the Black–Scholes equation, one can deduce the Black–Scholes formula, which gives a theoretical estimate of the price of European-style options and shows that the option has a unique price g…

Black–Scholes model — main illustration
Black–Scholes model — illustration

Key takeaways

  • Black–Scholes model belongs to mathematics; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Black–Scholes model to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Black–Scholes model from memory before moving on to harder problems.

Reference excerpt

The Black–Scholes or Black–Scholes–Merton model is a mathematical model for the dynamics of a financial market containing derivative investment instruments. From the parabolic partial differential equation in the model, known as the Black–Scholes equation, one can deduce the Black–Scholes formula, which gives a theoretical estimate of the price of European-style options and shows that the option has a unique price given the risk of the security and its expected return (instead replacing the security's expected return with the risk-neutral rate). The equation and model are named after economists Fischer Black and Myron Scholes. Robert C. Merton, who first wrote an academic paper on the subject, is sometimes also credited. The main principle behind the model is to hedge the option by buying and selling the underlying asset in a specific way to eliminate risk. This type of hedging is called "continuously revised delta hedging" and is the basis of more complicated hedging strategies such as those used by investment banks and hedge funds. The model is widely used, although often with some adjustments, by options market participants. The model's assumptions have been relaxed and generalized in many directions, leading to a plethora of models that are currently used in derivative pricing and risk management. The insights of the model, as exemplified by the Black–Scholes formula, are frequently used by market participants, as distinguished from the actual prices. These insights include no-arbitrage bounds and risk-neutral pricing (thanks to continuous revision). Further, the Black–Scholes equation, a partial differential equation that governs the price of the option, enables pricing using numerical methods when an explicit formula is not possible. The Black–Scholes formula has only one parameter that cannot be directly observed in the market: the average future volatility of the underlying asset, though it can be found from the price of other options. Since the option value (whether put or call) is increasing in this parameter, it can be inverted to produce a "volatility surface" that is then used to calibrate other models, e.g., for OTC derivatives.

History Louis Bachelier's thesis in 1900 was the earliest publication to apply Brownian motion to derivative pricing, though his work had little impact for many years and included important limitations for its application to modern markets. In the 1960's Case Sprenkle, James Boness, Paul Samuelson, and Samuelson's Ph.D. student at the time Robert C. Merton all made important improvements to the theory of options pricing. Fischer Black and Myron Scholes demonstrated in 1968 that a dynamic revision of a portfolio removes the expected return of the security, thus inventing the risk neutral argument. They based their thinking on work previously done by market researchers and practitioners including the work mentioned above, as well as work by Sheen Kassouf and Edward O. Thorp. Black and Scholes then attempted to apply the formula to the markets, but incurred financial losses, due to a lack of risk management in their trades. In 1970, they decided to return to the academic environment. After three years of efforts, the formula—named in honor of them for making it public—was finally published in 1973 in an article titled "The Pricing of Options and Corporate Liabilities", in the Journal of Political Economy. Robert C. Merton was the first to publish a paper expanding the mathematical understanding of the options pricing model, and coined the term "Black–Scholes options pricing model". The formula led to a boom in options trading and provided mathematical legitimacy to the activities of options trading, led by Cboe Global Markets. Merton and Scholes received the 1997 Nobel Memorial Prize in Economic Sciences for their work, the committee citing their discovery of the risk neutral dynamic revision as a breakthrough that separates the option from the risk of the underlying security. Although ineligible for the prize because of his death in 1995, Black was mentioned as a contributor by the Swedish Academy.

Fundamental hypotheses The Black–Scholes model assumes that the market consists of at least one risky asset, usually called the stock, and one riskless asset, usually called the money market, cash, or bond. The following assumptions are made about the assets (which relate to the names of the assets):

Risk-free rate: The rate of return on the riskless asset is constant and thus called the risk-free interest rate. Random walk: The instantaneous log return of the stock price is an infinitesimal random walk with drift; more precisely, the stock price follows a geometric Brownian motion, and it is assumed that the drift and volatility of the motion are constant. If drift and volatility are time-varying, a suitably modified Black–Scholes formula can be deduced, as long as the volatility is not random. The stock does not pay a dividend. The assumptions about the market are:

No arbitrage opportunity (i.e., there is no way to make a riskless profit in excess of the risk-free rate). Ability to borrow and lend any amount, even fractional, of cash at the riskless rate. Ability to buy and sell any amount, even fractional, of the stock (this includes short selling). The above transactions do not incur any fees or costs (i.e., frictionless market). With these assumptions, suppose there is a derivative security also trading in this market. It is specified that this security will have a certain payoff on a specified future date, depending on the values of the stock up to that date. Even though the path the stock price will take in the future is unknown, the derivative's price can be determined at the current time. For the special case of a European call or put option, Black and Scholes showed that "it is possible to create a hedged position, consisting of a long position in the stock and a short position in the option, whose value will not depend on the price of the stock". Their dynamic hedging strategy led to a partial differential equation which governs the price of the option. Its solution is given by the Black–Scholes formula. Several of these assumptions of the original model have been removed in subsequent extensions of the model. Modern versions account for dynamic interest rates (Merton, 1976), transaction costs and taxes (Ingersoll, 1976), and dividend payout.

Notation At time t, in particular:

… excerpt ends here. Continue reading the full article.

Illustrations

Black–Scholes model: A European call valued using the Black–Scholes pricing equation for varying asset price 
  
    
      
        S
      
    
    {\displaystyle S}
  
 and time-to-expiry 
  
    
      
        T
      
    
    {\displaystyle T}
  
. In this particular example, the strike price is set to 1.
A European call valued using the Black–Scholes pricing equation for varying asset price S {\displaystyle S} and time-to-expiry T {\displaystyle T} . In this particular example, the strike price is set to 1.
Black–Scholes model: The normality assumption of the Black–Scholes model does not capture extreme movements such as stock market crashes.
The normality assumption of the Black–Scholes model does not capture extreme movements such as stock market crashes.

Worked examples

Example 1 — a first encounter with Black–Scholes model

Start with the simplest possible case. Write down what Black–Scholes model claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In mathematics, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Black–Scholes model before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Black–Scholes model ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Black–Scholes model

In research
Black–Scholes model appears in mathematics research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Black–Scholes model in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Black–Scholes model is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1973 in economic history, Equations, Finance theories, so understanding it makes those chapters shorter.
In everyday life
Look for Black–Scholes model outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Black–Scholes model in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Black–Scholes model means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Black–Scholes model out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Black–Scholes model in simple terms?

The Black–Scholes or Black–Scholes–Merton model is a mathematical model for the dynamics of a financial market containing derivative investment instruments. From the parabolic partial differential equation in the model, known as the Black–Scholes equation, one can deduce the Black–Scholes formula…

Why does Black–Scholes model matter?

Because it connects several mathematics ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Black–Scholes model?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Black–Scholes model.

Tags

  • 1973 in economic history
  • Equations
  • Finance theories
  • Financial models
  • Options (finance)
  • Stochastic models
  • Stock market

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