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Cost Theory Break-Even versus Contribution Analysis. Lecture 5 Econ 340H Managerial Economics Web Appendix 5A. Christopher Michael Trent University Department of Economics. Topics. Break-even analysis and operating leverage Risk assessment. Break-Even Analysis. - PowerPoint PPT Presentation
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1© 2006 by Nelson, a division of Thomson Canada Limited
Lecture 5Econ 340H
Managerial EconomicsWeb Appendix 5A
Cost Theory Break-Even versus
Contribution Analysis
Christopher Michael
Trent UniversityDepartment of Economics
2© 2006 by Nelson, a division of Thomson Canada Limited
• Break-even analysis and operating leverage
• Risk assessment
Topics
3© 2006 by Nelson, a division of Thomson Canada Limited
• We can have multiple B/E (break-even) points with non-linear costs & revenues.
• If linear total cost and total revenue:
TR = P•Q
TC = F + V•Q• where V is Average Variable
Cost• F is Fixed Cost• Q is Output
• Cost-Volume-Profit analysis
TotalCost
TotalRevenue
B/E B/EQ
Break-Even Analysis
4© 2006 by Nelson, a division of Thomson Canada Limited
The Break-Even Quantity: Q B/E
• At break-even: TR = TCSo, P•Q = F + V•Q
• Q B/E = F / ( P - V) = F/CM
where contribution margin is: CM = ( P - V)
TR
TC
B/E Q
PROBLEM: As a garagecontractor, find Q B/E
if: P = $9,000 per garage V = $7,000 per garage& F = $40,000 per year
5© 2006 by Nelson, a division of Thomson Canada Limited
• Amount of sales revenues that breaks even
• P•Q B/E = P•[F/(P-V)]
= F / [ 1 - V/P ]
Break-Even Sales Volume
Variable Cost Ratio
Ex: At Q = 20, B/E Sales Volume is
$9,000•20 = $180,000 Sales Volume
Answer: QB/E = 40,000/(2,000)= 40/2 = 20 garages at the break-even point.
6© 2006 by Nelson, a division of Thomson Canada Limited
Quantity needed to attain a target profit
If is the target profit, Q target = [ F + ] / (P-V)
Suppose want to attain $50,000 profit, then,
Q target = ($40,000 + $50,000)/$2,000
= $90,000/$2,000 = 45 garages
Target Profit Output
7© 2006 by Nelson, a division of Thomson Canada Limited
Degree of Operating Leverageor Operating Profit Elasticity
• DOL = E sensitivity of operating profit (EBIT) to
changes in output
• Operating = TR-TC = (P-V)•Q - F
• Hence, DOL = (Q)•(Q/) =
(P-V)•(Q/) = (P-V)•Q / [(P-V)•Q - F]
A measure of the importance of Fixed Costor Business Risk to fluctuations in output
8© 2006 by Nelson, a division of Thomson Canada Limited
DOL as Operating Profit Elasticity
DOL = (P - V) Q / [ (P - V) Q - F ]• We can use empirical estimation methods to find
operating leverage • Elasticities can be estimated with double log
functional forms• Use a time series of data on operating profit and
outputLn EBIT = a + b• Ln Q, where b is the DOLthen a 1% increase in output increases EBIT by b%b tends to be greater than or equal to 1
9© 2006 by Nelson, a division of Thomson Canada Limited
• DOL = (9,000-7,000) • 45 .
[(9,000-7,000)•45 – 40,000]
= 90,000 / 50,000 = 1.8
• A 1% INCREASE in Q 1.8% INCREASE in operating profit.
• At the break-even point, DOL is INFINITE. – A small change in Q increases EBIT by an
astronomically large percentage rate
Suppose the Contractor Builds 45 Garages, What is the D.O.L?
10© 2006 by Nelson, a division of Thomson Canada Limited
• Dependent Variable: Ln EBIT uses 20 quarterly observations N = 20
The log-linear regression equation isLn EBIT = - .75 + 1.23 Ln Q
Predictor Coeff Stdev t-ratio pConstant -.7521 0.04805 -15.650 0.001Ln Q 1.2341 0.1345 9.175 0.001s = 0.0876 R-square= 98.2% R-sq(adj) = 98.0%
The DOL for this firm is 1.23. So, a 1% increase in output leads to a 1.23% increase in operating profit
Regression Output
11© 2006 by Nelson, a division of Thomson Canada Limited
Output
recession
TIME
EBIT =operating profit
Trough
peak
1. EBIT is more volatilethan output over cycle
2. EBIT tends to collapse late in recessions
Operating Profit and the Business Cycle
12© 2006 by Nelson, a division of Thomson Canada Limited
• One approach to risk, is the probability of losing money.
• Let QB/E be the break-even quantity, and Q is the expected quantity produced.
• z is the number of standard deviations away from the mean
• z = (QB/E - Q )/• 68% of the time within 1 standard deviation• 95% of the time within 2 standard deviations• 99% of the time within 3 standard deviations
Break-Even Analysis and Risk Assessment
Continued…
13© 2006 by Nelson, a division of Thomson Canada Limited
Problem: If the break-even quantity is 5,000, and the expected number produced is 6,000, what is the chance of losing money if the standard deviation is 500?
Answer: z = (5,000 – 6,000) / 500 = -2.
There is less than 2.5% chance of losing money. Using table 13B.1, the exact answer is 0.0228 or 2.28% chance of losing money.
Break-Even Analysis and Risk Assessment (concluded)