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Treynor–Black model

Treynor–Black model is a science 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 Treynor–Black model rather than just read about it. In short: In finance the Treynor–Black model is a mathematical model for security selection published by Fischer Black and Jack Treynor in 1973. The model assumes an investor who considers that most securities are priced efficiently, but who believes they have information that can be used to predict the abnormal performance (Alpha) of a few of them; the model finds the optimum portfolio to hold under such conditions.

Key takeaways

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

Reference excerpt

In finance the Treynor–Black model is a mathematical model for security selection published by Fischer Black and Jack Treynor in 1973. The model assumes an investor who considers that most securities are priced efficiently, but who believes they have information that can be used to predict the abnormal performance (Alpha) of a few of them; the model finds the optimum portfolio to hold under such conditions. In essence the optimal portfolio consists of two parts: a passively invested index fund containing all securities in proportion to their market value and an 'active portfolio' containing the securities for which the investor has made a prediction about alpha. In the active portfolio the weight of each stock is proportional to the alpha value divided by the variance of the residual risk.

Model Assume that the risk-free rate is RF and the expected market return is RM with standard deviation σ M {\displaystyle \sigma _{M}} . There are N securities that have been analyzed and are thought to be mispriced, with expected returns given by:

r i = R F + β i ( R M − R F ) + α i + ϵ i {\displaystyle r_{i}=R_{F}+\beta _{i}(R_{M}-R_{F})+\alpha _{i}+\epsilon _{i}}

where the random terms ϵ i {\displaystyle \epsilon _{i}} are normally distributed with mean 0, standard deviation σ i {\displaystyle \sigma _{i}} , and are mutually uncorrelated. (This is the so-called Diagonal Model of Stock Returns, or Single-index model due to William F. Sharpe). Then it was shown by Treynor and Black that the active portfolio A is constructed using the weights

w i = α i / σ i 2 ∑ j = 1 N α j / σ j 2 {\displaystyle w_{i}={\frac {\alpha _{i}/\sigma _{i}^{2}}{\sum _{j=1}^{N}\alpha _{j}/\sigma _{j}^{2}}}}

(Note that if an alpha is negative the corresponding portfolio weight will also be negative, i.e. the active portfolio is in general a long–short portfolio). The alpha, beta and residual risk of the constructed active portfolio are found using the previously computed weights wi:

α A = ∑ w i α i {\displaystyle \alpha _{A}=\sum w_{i}\alpha _{i}}

β A = ∑ w i β i {\displaystyle \beta _{A}=\sum w_{i}\beta _{i}}

σ A 2 = ∑ w i 2 σ i 2 {\displaystyle \sigma _{A}^{2}=\sum w_{i}^{2}\sigma _{i}^{2}}

The overall risky portfolio for the investor consists of a fraction wA invested in the active portfolio and the remainder invested in the market portfolio. This active fraction is found as follows:

w 0 = α A / σ A 2 ( R M − R F ) / σ M 2 {\displaystyle w_{0}={\frac {\alpha _{A}/\sigma _{A}^{2}}{(R_{M}-R_{F})/\sigma _{M}^{2}}}}

And corrected for the beta exposure of the active portfolio:

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Treynor–Black model

Start with the simplest possible case. Write down what Treynor–Black model claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, 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 Treynor–Black 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 Treynor–Black 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 Treynor–Black model

In research
Treynor–Black model appears in science 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 Treynor–Black 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
Treynor–Black model is common in secondary-school and first-year university syllabi. It links to neighbouring topics Financial models, Portfolio theories, so understanding it makes those chapters shorter.
In everyday life
Look for Treynor–Black 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 Treynor–Black model in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Treynor–Black 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 Treynor–Black model out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Treynor–Black model in simple terms?

In finance the Treynor–Black model is a mathematical model for security selection published by Fischer Black and Jack Treynor in 1973. The model assumes an investor who considers that most securities are priced efficiently, but who believes they have information that can be used to predict the abno…

Why does Treynor–Black model matter?

Because it connects several science 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 Treynor–Black 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 Treynor–Black model.

Tags

  • Financial models
  • Portfolio theories

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