In: Accounting
| The following are the P/E ratios, growth rates, beta and payout ratios of some firms in the same industry | ||||||
| Company | P/E Ratio | Growth rate | Beta | Payout | ||
| BOE | 17.3 | 3.50% | 1.1 | 28% | ||
| GD | 15.5 | 11.50% | 1.25 | 40% | ||
| GMH | 16.5 | 13.00% | 0.85 | 41% | ||
| GRU | 11.4 | 10.50% | 0.8 | 37% | ||
| LK | 10.2 | 9.50% | 0.85 | 37% | ||
| LG | 12.4 | 14.00% | 0.85 | 11% | ||
| LR | 13.3 | 16.50% | 0.75 | 23% | ||
| MM | 11 | 8.00% | 0.85 | 22% | ||
| MD | 22.6 | 13.00% | 1.15 | 37% | ||
| NR | 9.5 | 9.00% | 1.05 | 47% | ||
| RY | 12.1 | 9.50% | 0.75 | 28% | ||
| RW | 13.9 | 11.50% | 1 | 38% | ||
| TH | 8.7 | 5.50% | 0.95 | 15% | ||
| UI | 10.4 | 4.50% | 0.7 | 50% | ||
| A. Estimate the average and median P/E ratios. What, if anything, would these averages tell you? | ||||||
| B. An analyst concludes that firm TH is undervalued, because its P/E ratio is lower than the industry average. Under what conditions is this statement true? Would you agree with it here? | ||||||
| C. Now use a regression methodology to estimate the P/E ratio of company TH. | ||||||
| Q(a) | Average & Median P/E Ratios | 
Average P/E
| Formula | Average P/E = Sum of total P/E values / No. of companies | 
| S.No. | Company | P/E Ratio | 
| 1 | TH | 8.7 | 
| 2 | NR | 9.5 | 
| 3 | LK | 10.2 | 
| 4 | UI | 10.4 | 
| 5 | MM | 11 | 
| 6 | GRU | 11.4 | 
| 7 | RY | 12.1 | 
| 8 | LG | 12.4 | 
| 9 | LR | 13.3 | 
| 10 | RW | 13.9 | 
| 11 | GD | 15.5 | 
| 12 | GH | 16.5 | 
| 13 | BOE | 17.3 | 
| 14 | MD | 22.6 | 
| Total | 184.8 | 
| Here, | ||
| 1 | Total of P/E values | 184.8 | 
| 2 | No. of companies in the cohort | 14 | 
| Answer | Average (1/2) | 13.2 | 
Median P/E Ratio
Step 1 : Arrange P/E values in ascending order as follows:
| S.No. | Company | P/E Ratio | 
| 1 | TH | 8.7 | 
| 2 | NR | 9.5 | 
| 3 | LK | 10.2 | 
| 4 | UI | 10.4 | 
| 5 | MM | 11 | 
| 6 | GRU | 11.4 | 
| 7 | RY | 12.1 | 
| 8 | LG | 12.4 | 
| 9 | LR | 13.3 | 
| 10 | RW | 13.9 | 
| 11 | GD | 15.5 | 
| 12 | GMH | 16.5 | 
| 13 | BOE | 17.3 | 
| 14 | MD | 22.6 | 
| Total P/E | 184.8 | 
| Median P/E value | ||
| Step 1 | Arrange P/E Values in ascending order | See table above | 
| Step 2 | Ascertain total No. of companies in the cohort | 14 | 
| Step 3 | Median value = Step 2 /2+1 = 14/2 +1 => 7+1=8 | |
| => | The median value =( P/E of 7 th company + P/E of 8 th company in the ascending order) | |
| (LR with value = 12.1 + MM with value 12.4)/2 | 12.25 | |
| Answer | Median = | 12.25 | 
Therefore, Average P/E = 13.2 and Median P/ E = 12.25
Implication of Average and Median P/E Ratio
The first assumption to make is that all companies in this cohort / table belong to the same industry. Assuming that they do belong to the same industry, an Average P/E value provides an indicator of how much the market values earnings in this industry, given the expected growth potential and risk for the industry.
The Median P/E value correct the skew in P/E ratio of companies in the industry. The average P/E ratio can be skewed by companies with very high P/E values like MD, BOE and GD. The median P/E identifies the firm with median P/E value.
Q (b)
The assertion can be validated if, and only if, the following two conditions are filfilled, viz.,
i) TH experiences similar growth potential and risk profile typical of a firm in the industry. Further, TH is able to generate and distribute dividends similar to a typical firm in the industry;
ii) TH has experiences a growth potential higher than the typical firm in the industry; and has a lower risk profle in comparison with a typical firm in the industry.
Q (c )
Regression of P/E ratios on fundamentals results in the following equation:
P/E = -2.33 + 35.74 Growth Rate+ 11.97 Beta + 2.90 Payour
=> R 2 = 0.4068
( The above values have been determined using the Regression Equation :
PE = a (intercept) + B1 * Pay Out Ratio + B2 * Beta + B 3 * Expected Growth Rate (EGR)
a (intercept)= Y - B1X1+B2X2+B3X3
abd B1, B2 and B3 ( or Beta 1, Beta 2 and Beta 3) are determined by regression equation for the slope.