mathematics

Ohlson O-score

Ohlson O-score 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 Ohlson O-score rather than just read about it. In short: The Ohlson O-score for predicting bankruptcy is a multi-factor financial formula postulated in 1980 by Dr. James Ohlson of the New York University Stern Accounting Department as an alternative to the Altman Z-score for predicting financial distress.

Key takeaways

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

Reference excerpt

The Ohlson O-score for predicting bankruptcy is a multi-factor financial formula postulated in 1980 by Dr. James Ohlson of the New York University Stern Accounting Department as an alternative to the Altman Z-score for predicting financial distress.

Calculation of the O-score The Ohlson O-Score is the result of a 9-factor linear combination of coefficient-weighted business ratios which are readily obtained or derived from the standard periodic financial disclosure statements provided by publicly traded corporations. Two of the factors utilized are widely considered to be dummies as their value and thus their impact upon the formula typically is 0. When using an O-score to evaluate the probability of company’s failure, then exp(O-score) is divided by 1 + exp(O-score). The calculation for Ohlson O-score appears below:

T =

− 1.32 − 0.407 log ⁡ ( T A t / G N P ) + 6.03 T L t T A t − 1.43 W C t T A t + 0.0757 C L t C A t

− 1.72 X − 2.37 N I t T A t − 1.83 F F O t T L t + 0.285 Y − 0.521 N I t − N I t − 1 | N I t | + | N I t − 1 | {\displaystyle {\begin{aligned}T={}&-1.32-0.407\log(TA_{t}/GNP)+6.03{\frac {TL_{t}}{TA_{t}}}-1.43{\frac {WC_{t}}{TA_{t}}}+0.0757{\frac {CL_{t}}{CA_{t}}}\\[10pt]&{}-1.72X-2.37{\frac {NI_{t}}{TA_{t}}}-1.83{\frac {FFO_{t}}{TL_{t}}}+0.285Y-0.521{\frac {NI_{t}-NI_{t-1}}{|NI_{t}|+|NI_{t-1}|}}\end{aligned}}}

where

TA = total assets GNP = gross national product price index level (in USD, 1968 = 100) TL = total liabilities WC = working capital CL = current liabilities CA = current assets X = 1 if TL > TA, 0 otherwise NI = net income FFO = funds from operations Y = 1 if a net loss for the last two years, 0 otherwise

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Ohlson O-score

Start with the simplest possible case. Write down what Ohlson O-score 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 Ohlson O-score 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 Ohlson O-score 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 Ohlson O-score

In research: Ohlson O-score 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 Ohlson O-score 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: Ohlson O-score is common in secondary-school and first-year university syllabi. It links to neighbouring topics Bankruptcy, Credit risk, Financial ratios, so understanding it makes those chapters shorter.
In everyday life: Look for Ohlson O-score 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 Ohlson O-score in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Ohlson O-score means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Ohlson O-score out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Ohlson O-score in simple terms?

Why does Ohlson O-score 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 Ohlson O-score?

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 Ohlson O-score.