A finished ACC-670 Topic 6 distress model miss analysis example, applying the Z-score to a retailer that later failed, explaining the miss and tracing the warnings the model could not register. Searches like "acc 670 topic 6 assignment example", "acc670 topic 6 sample" and "acc-670 topic 6 example" land here.
What a finished ACC-670 Topic 6 distress model miss analysis looks like
Scores come first in the finished analysis, computed from the retailer's illustrative statements for the three years before the filing: 2.6, 2.3 and 2.0, gray zone each time and never below the 1.81 line the original model uses for distress. The decomposition explains why. The sales-to-total-assets term supplied 1.9 of the final 2.0, because retailers turn assets quickly, while retained earnings had gone negative and operating profit sat near zero. The model was built on manufacturers, and a variant Altman later proposed for non-manufacturers drops that term. The analysis then reads what preceded the failure: comparable sales down three years running, payables days cut from 52 to 31 as vendors tightened terms, and the revolving credit line drawn from a third of its limit to almost all of it. It closes on what an honest score report would have said.
How an ACC-670 Topic 6 example is structured
The analysis is arranged to separate what the model computed from what it could see. The model is stated first: five ratios and weights, the zones it reports and the manufacturers it was estimated on. The three years of scores follow in a table, each ratio shown with its weighted contribution, so the reader can see which term holds the score up. A third section explains the asset turnover effect and reruns the calculation without that term, using the non-manufacturer variant as a check rather than a replacement. The fourth reads liquidity directly: vendor terms, the credit line and cash on hand quarter by quarter. A fifth section sets out what the statements showed that no model ratio captures. The closing part drafts the score report as it should have been written, with the number, its known blind spot for retailers and the liquidity evidence beside it.
The model stated before it is run
Five ratios, their weights, the three zones and the manufacturing population the model came from are set out first, since each shapes what the score can detect.
Contributions shown, not only totals
Each ratio's weighted share of the score appears for all three years, revealing that asset turnover alone holds the final 2.0 out of the distress zone.
The retailer's turnover problem explained
High sales relative to assets are normal in apparel retail, and a weight calibrated on manufacturers turns that normal feature into apparent safety.
Liquidity read quarter by quarter
Vendor terms shortening from 52 to 31 days and the credit line approaching its limit showed the failure coming while the annual score stayed gray.
A score report rewritten honestly
The closing section reports the score with its blind spot and the liquidity evidence beside it, treating the model as one input rather than a verdict.
Where marks go in ACC-670 Topic 6
Presenting a Z-score as a prediction is the deduction this topic sees most often, because a score measures resemblance to past failures and nothing more. A paper reporting three gray-zone scores and concluding the retailer was moderately safe has read the number and ignored the model's origin. Leaving out the ratio contributions hides that one term carried the score, which is the finding the exercise is built around. Some papers swap in a different model and declare the problem solved, when the better answer shows what both models see and miss. Liquidity is where the warning actually appeared, and analyses that never read vendor terms or credit line usage leave the most useful evidence untouched. Conclusions written with hindsight, as though the failure was obvious, also lose credit; the point is what a careful reader could have said then.
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Send the ACC-670 Topic 6 instructions, the rubric in your classroom and the company or distress case your section assigned. The custom example is written to those criteria, with the model stated, scores decomposed by ratio, its blind spots explained, liquidity read directly and the score reported with its limits, back in 24 to 48 hours. The first one is free.
ACC-670 Topic 6 questions, answered
What does the Altman Z-score measure?
A weighted combination of five ratios covering working capital, retained earnings, operating profit, market value of equity against liabilities, and sales against total assets. Altman estimated the weights by comparing manufacturers that failed with ones that did not, and the resulting score places a company in a distress, gray or safe zone. It measures resemblance to those historical failures, which is useful and different from a probability of failing.
Why did the model miss this retailer?
Mainly because of the sales-to-assets term. Apparel retailers turn their assets over much faster than the manufacturers the weights were estimated on, so that ratio lifts the score regardless of profitability. Here it supplied almost the whole final score while the other four terms sat near zero. The model also reads annual figures, so tightening vendor terms or a nearly exhausted credit line register only once they reach a year-end balance sheet.
Are newer distress models better?
Some suit particular settings better, including variants for non-manufacturers and models that combine market data with accounting data. None removes the basic limitation that a model learns from past failures and can miss one with a new cause. The strongest papers run a recognized model, show its contributions and its blind spots, and put the liquidity evidence beside it rather than trading one score for another.