Taffler’s Z Score: Detailed Definition
Taffler’s Z Score is a multivariate model developed by Richard J. Taffler in 1982 to predict the probability of financial distress for UK-based companies. It is an empirical financial model similar to the Altman Z Score but is specifically structured for the United Kingdom’s economic environment. The Taffler model utilizes four key financial ratios to assess a company’s bankruptcy risk within a one-year timeframe.
Formula
The Taffler Z Score is computed using the following formula:
\[ Z = 0.53(T1) + 0.13(T2) + 0.18(T3) + 0.16(T4) \]
Where:
- T1 = Profit Before Tax / Current Liabilities
- T2 = Current Assets / Total Liabilities
- T3 = Current Liabilities / Total Assets
- T4 = No Credit Interval (defined as Quick Assets - Current Liabilities)
Interpretation
- Z > 0.3: Low risk of bankruptcy.
- -0.3 ≤ Z ≤ 0.3: Moderate risk zone.
- Z < -0.3: High risk of bankruptcy.
Examples
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Example 1: Financially Stable Company
- Profit Before Tax = £2,000,000
- Current Liabilities = £1,000,000
- Current Assets = £3,000,000
- Total Liabilities = £5,000,000
- Quick Assets = £2,000,000
Calculation: \[ T1 = 2,000,000 / 1,000,000 = 2.0 \] \[ T2 = 3,000,000 / 5,000,000 = 0.6 \] \[ T3 = 1,000,000 / 5,000,000 = 0.2 \] \[ T4 = (2,000,000 - 1,000,000) / 1,000,000 = 1.0 \]
\[ Z = 0.53(2.0) + 0.13(0.6) + 0.18(0.2) + 0.16(1.0) \] \[ Z = 1.06 + 0.078 + 0.036 + 0.16 \] \[ Z = 1.334 \]
Interpretation: With a Z score of 1.334, the company has a very low risk of bankruptcy.
-
Example 2: Financially Distressed Company
- Profit Before Tax = £100,000
- Current Liabilities = £2,000,000
- Current Assets = £1,500,000
- Total Liabilities = £6,000,000
- Quick Assets = £500,000
Calculation: \[ T1 = 100,000 / 2,000,000 = 0.05 \] \[ T2 = 1,500,000 / 6,000,000 = 0.25 \] \[ T3 = 2,000,000 / 6,000,000 = 0.33 \] \[ T4 = (500,000 - 2,000,000) / 2,000,000 = -0.75 \]
\[ Z = 0.53(0.05) + 0.13(0.25) + 0.18(0.33) + 0.16(-0.75) \] \[ Z = 0.0265 + 0.0325 + 0.0594 - 0.12 \] \[ Z = -0.0016 \]
Interpretation: With a Z score of -0.0016, the company is in a high-risk category for bankruptcy.
Frequently Asked Questions (FAQs)
Q1: What is the key difference between Taffler’s Z Score and Altman Z Score? Taffler’s Z Score is specifically designed considering UK economic and financial conditions, whereas Altman Z Score was initially developed for US-based manufacturing companies.
Q2: Can Taffler’s Z Score be used for non-UK companies? While it can technically be calculated for non-UK companies, its predictive accuracy is optimized for UK-based firms due to the initial dataset and calibration used.
Q3: How often should Taffler’s Z Score be calculated? It’s typically prudent to calculate it quarterly or annually to monitor changes in financial health and risk of bankruptcy.
Q4: Are there limitations to Taffler’s Z Score? Yes, like any predictive financial model, it may not account for extraordinary economic events, sector-specific risks, or managerial changes that may impact company performance.
Related Terms
- Altman Z Score: A financial model created by Edward Altman to predict bankruptcy risk, primarily used for US manufacturing firms.
- Current Ratio: A liquidity ratio that measures a company’s ability to pay short-term obligations.
- Profit Before Tax (PBT): A measure of a company’s profitability before accounting for income taxes.
- Quick Assets: Highly liquid assets that can quickly be converted to cash, frequently excluding inventories.
Online References
- Investopedia - Altman Z Score
- Corporate Finance Institute - Financial Ratios
- Risk Management - Financial Distress Models
Suggested Books for Further Studies
- “Financial Reporting and Analysis” by Charles H. Gibson
- A comprehensive guide covering various financial analysis methods, including bankruptcy prediction models.
- “Corporate Financial Distress and Bankruptcy: Predict and Avoid Bankruptcy, Analyze and Invest in Distressed Debt” by Edward I. Altman
- An in-depth exploration of financial distress and bankruptcy prediction.
- “Financial Statement Analysis and Security Valuation” by Stephen H. Penman
- Provides a framework for analyzing financial statements to make better investment decisions.
Accounting Basics: “Taffler’s Z Score” Fundamentals Quiz
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