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Trinomial tree

Trinomial tree is a computer 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 Trinomial tree rather than just read about it. In short: The trinomial tree is a lattice-based computational model used in financial mathematics to price options on equity. It was developed by Phelim Boyle in 1986.

Key takeaways

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

Reference excerpt

The trinomial tree is a lattice-based computational model used in financial mathematics to price options on equity. It was developed by Phelim Boyle in 1986. It is an extension of the binomial options pricing model, and is conceptually similar. It can also be shown that the approach is equivalent to the explicit finite difference method for option pricing. Trinomial trees are also deployed for fixed income and interest rate derivatives; see under Lattice model (finance).

Formula Under the trinomial method, the underlying stock price is modeled as a recombining tree, where, at each node the price has three possible paths: an up, down and stable or middle path. These values are found by multiplying the value at the current node by the appropriate factor u {\displaystyle u\,} , d {\displaystyle d\,} or m {\displaystyle m\,} where

u = e σ 2 Δ t {\displaystyle u=e^{\sigma {\sqrt {2\Delta t}}}}

d = e − σ 2 Δ t = 1 u {\displaystyle d=e^{-\sigma {\sqrt {2\Delta t}}}={\frac {1}{u}}\,} (the structure is recombining)

m = 1 {\displaystyle m=1\,}

and the corresponding probabilities are:

p u = ( e ( r − q ) Δ t / 2 − e − σ Δ t / 2 e σ Δ t / 2 − e − σ Δ t / 2 ) 2 {\displaystyle p_{u}=\left({\frac {e^{(r-q)\Delta t/2}-e^{-\sigma {\sqrt {\Delta t/2}}}}{e^{\sigma {\sqrt {\Delta t/2}}}-e^{-\sigma {\sqrt {\Delta t/2}}}}}\right)^{2}\,}

p d = ( e σ Δ t / 2 − e ( r − q ) Δ t / 2 e σ Δ t / 2 − e − σ Δ t / 2 ) 2 {\displaystyle p_{d}=\left({\frac {e^{\sigma {\sqrt {\Delta t/2}}}-e^{(r-q)\Delta t/2}}{e^{\sigma {\sqrt {\Delta t/2}}}-e^{-\sigma {\sqrt {\Delta t/2}}}}}\right)^{2}\,}

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Trinomial tree

Start with the simplest possible case. Write down what Trinomial tree claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer 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 Trinomial tree 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 Trinomial tree 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 Trinomial tree

In research
Trinomial tree appears in computer 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 Trinomial tree 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
Trinomial tree is common in secondary-school and first-year university syllabi. It links to neighbouring topics Financial models, Mathematical finance, Models of computation, so understanding it makes those chapters shorter.
In everyday life
Look for Trinomial tree 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 Trinomial tree in 20 minutes

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

Frequently asked questions

What is Trinomial tree in simple terms?

The trinomial tree is a lattice-based computational model used in financial mathematics to price options on equity. It was developed by Phelim Boyle in 1986.

Why does Trinomial tree matter?

Because it connects several computer 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 Trinomial tree?

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 Trinomial tree.

Tags

  • Financial models
  • Mathematical finance
  • Models of computation
  • Options (finance)
  • Trees (data structures)

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