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April 6 By Try L. Muller GB550: Financial Management This research paper provides a broad analysis of capital structure theory and its implications while using Foot Locker as a mini case study. 1
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Cap Structure: Theory, Principle, and Implications
April 6
2010
This research paper provides a broad analysis of capital structure theory and its implications while using Foot Locker as a mini case study.
By Try L. Muller GB550: Financial Management
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Table of Contents
Introduction to Capital Structure Issues ............................ 3
The Modigliani-Miller Approach (MM) ................................. 4
Mini Case Study – Foot Locker:
Business and Financial Risk ............................................... 6
Mini Case Study – Foot Locker:
Additional Observations ...................................................... 7
Foot Locker’s Proposed Optimal Capital Structure .......... 8
Conclusion ............................................................................ 9
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Introduction to Capital Structure Issues
The capital structure of any firm is heavily dependent on the industry it occupies. But the issues
surrounding capital structure are universal and have implications for all decisions made as to
how a firm chooses to combine debt and equity to finance business activity. There are numerous
factors that affect this decision process because there are varying dynamics exhibited by the
combination of debt and equity. It is hard for firms to adhere to a target optimal capital structure
because there are so many financial and economic components that play a vital role in how
management chooses to use debt and equity. Thus, understanding these dynamics directly
impacts the health of the firm.
There are various components to debt that raise certain issues when trying to find the
optimal cap structure. Financial leverage is the amount of debt a company takes on to finance
operations. Debt signifies an obligation to creditors and interest on these obligations must be
paid. A firm’s probability of bankruptcy increases as its financial leverage increases because it
becomes more difficult to make interest payments and there may be subsequent financial distress
costs due to this increased risk. Thus, debt holders will require a higher return on these
obligations which will increase the pre-tax cost of debt (Brigham and Ehrhardt, 2008).
Furthermore, since debt holders have the initial claim on a firm’s cash flows, this means that
there is an increase in the risk of free cash flows (FCF) not being sufficient enough to allocate to
stockholders (Brigham and Ehrhardt, 2008). This increases the cost of equity (stock).
A high level of financial leverage and the ensuing bankruptcy risk also have adverse
affects on employees and customers in the form of financial distress costs (Joyce, 2010).
Customers may not want long-term relationships with the firm and that will hurt profits and
FCF’s. Internally, employees could lose focus and become unproductive due to the poor health
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of the company and the implications for job loss (Brigham and Ehrhardt, 2008). While financial
leverage can bond cash flows and can curb potential agency costs (wasteful spending by
management), it can also incite ―gun shy‖ management. This means the firm would incur an
agency cost called underinvestment that takes place when management passes on value-adding
projects because of the current level of corporate debt (Brigham and Ehrhardt, 2008).
Many managers are reluctant to issue equity because of how it is perceived in the market. The
market perceives an issuance of equity as management communicating the idea that their stock is
overvalued. The market takes this as a negative signal and reacts by selling the share at a
discount and effectively lowering the stock value. This market reaction is often what CEO’s are
afraid when they speak about diluting the stock (Bielecki, and Rutokoski, 2000).
The Modigliani-Miller (MM) Approach
To further understand the dynamics of debt and equity as it pertains to financing we must take a
look at the Modigliani-Miller (MM) theoretical approach to capital structure decisions. The MM
approach says that a firm’s capital structure is irrelevant to its corporate valuation based on
certain assumptions. The most popular assumption is that there are no taxes, and where there are
taxes, a firm should be inclined to finance by high levels of debt even beyond the target capital
structure (Glen, 2010). The latter part of this assumption is the most interesting because it is
based on the idea that firms will want to finance with debt because of the tax shield on interests
payments— freeing up more FCF’s to distribute to investors (Hitt and Kochhar, 1998). This is
supplemented by the assumption that debt is riskless for both the firm and individual and there
are no bankruptcy costs for the firm (Glen, 2010). The rest of MM’s approach can be derived
from the assumption that securities are traded in perfect capital markets (Brigham and Ehrhardt,
2008). This assumption proposes the following situations: 1) assets are priced with total
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efficiency, 2) brokerage costs do not exist, 3) investors and firms borrow at the same rate, and 4)
there is no asymmetrical information (Brigham and Ehrhardt, 2008). Understanding the
assumptions and inconsistencies of MM’s theoretical approach is vital to understanding what
influences a firm’s optimal capital structure.
These assumptions eventually recognized the obvious cost issues that influence capital
structure. MM’s approach created a trade-off theory that took into consideration the
attractiveness of tax benefits with respect to bankruptcy costs and the financial distress costs that
might precede it. The risk of bankruptcy in highly leveraged firms can incur financial distress
costs in the form of lost employees, investors, underinvestment by managers, lost suppliers, etc
(Joyce, 2010). Bankruptcy risk increases the possibility that the firm may have to liquidate
assets at a distress price – a significantly undervalued price. Trade-off theory implies that the
optimal cap structure is one where financial leverage is at a point where the tax shield benefits
meet the marginal bankruptcy-related costs (Brigham and Ehrhardt, 2008). Below this point the
firm is undervalued and beyond this point the firm starts to lose value. However, the volatility of
markets and stock prices does not allow for companies to adhere to such an explicit optimal cap
structure.
Another important factor that questions MM’s trade-off theory is the idea of managers
trying to time the market. Trade-off theory suggests that management will always employ debt
and equity in a manner that will bring the firm back to its optimal cap structure. However,
evidence shows that firms issue stock when the price appreciate unexpectedly and tries to take
advantages of low interest rates by issuing debt (Brigham and Ehrhardt, 2008). This market-
timing concept makes more sense because it could explain the frequent fluctuation in capital
structures and why it is hard for firms to adhere to a static level of equity and debt financing.
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This goes to show that debt is not riskless for the firm or the individual. Firms with a lot
of financial leverage have an increased cost of equity and increased total return to each
additional debt holder. The risk of this debt will depend on the ability to make interest payments
and the quality of the credit markets. Likewise, the investor that creates homemade leverage—
uses debt financing— to buy stock of a financially leverage firm is doubling his risk because he
may lose equity in the risky company and not receive dividends to pay his own interest (Glen,
2010).
Lastly, assets are not priced with total efficiency because the market does not reflect all
relevant information and there is often no explicit asymmetrical information. Perfect capital
markets would imply that asset bubbles were not possible and that scandals would not happened
since all information is accurate, relevant, and equally available to firms and investors. Markets
are highly imperfect which often takes true asymmetric information out of the equation because
even managers try to time the market. This is not to imply that there is ever really symmetrical
information— investors will never have the same internal knowledge that managers of firms
have. However, if asymmetrical information played a significant role in capital structure
decisions then we would see more preemptive capital activity by managers; a debt offering
before a big stock increase and issuing equity before a decline in price. Even though the MM
approach is relatively outrageous, the underlying principles are vital to properly understanding
capital structure.
Mini Case Study – Foot Locker: Business and Financial Risk
We can now introduce a small case study of the capital structure exhibited by Foot Locker in
order to look at business risk, financial risk, and any other capital structure observations
(Reference Figure 1). The business risk is what common stockholders face if the firm forgoes
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the use of debt financing (Froot and Skin, 1998). A vital component of business risk is operation
leverage – the variability in earnings before interest and taxes (EBIT) as it pertains to sales.
EBIT relates directly to the cash available to stockholders after tax and debt claims. Figure 2
shows the potential relationship between EBIT and operating leverage. If operating leverage is
high then EBIT is more volatile and this increases business risk because stockholders will be
uncertain as to the level of future FCF’s. To further illustrate, Figure 3 shows Foot Locker’s
current degree of operating leverage (DOL) and how it pertains to a more volatile EBIT. The
calculation in Figure 3 means that a 1% increase or decrease in sales will have an 8% increase or
decrease in EBIT. Subsequently, the increased business risk due to a high operating leverage is
reflected in the volatility of earnings per share (EPS) — shown as a 25% difference over a one-
year period. This means that Foot Locker should limit its financial leverage since the high debt
levels concentrate the business risk on common stockholders and the high DOL is amplifying the
volatility in EPS (Brigham and Ehrhardt, 2008). Figure 1 shows the tendency of Foot Locker to
adhere to this principle as shown by the decreasing debt levels over the past few years.
We can find Foot Locker’s degree of financial leverage for debt and its affect on EPS to gather
insight on the additional risk that it puts on stockholders through the use of debt. Figure 4 shows
how a 1% change in sales will have a 3.6% change in earnings before taxes (EBT). This
constitutes a 32% change in EPS as opposed to 25%. Therefore, we can see how Foot Locker’s
financial leverage and subsequent financial risk adds to the risk of the common stockholders.
Mini Case Study – Foot Locker: Additional Observations
There are three more observations that should be addressed regarding Foot Locker’s capital
structure. The first is how capital structure affects return on equity (ROE). Figure 5 illustrates
this relationship and what we can derive from this is that financial leverage not only amplifies
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the variability in EPS – as shown previously – but it also does so for ROE (Minton and Schrand,
1999).
The second observation, shown by Figure 6, is that the weighted average cost of capital
(WACC) does not remain constant, but it actually falls initially when debt capital increases, and
then begins to increase with the increase in the cost of equity. The table also shows that the cost
of equity does increase with increased debt levels. The last observation is that 40% of Foot
Locker’s financing has come from retained earnings over the past four years. This may be
because management sees retained earnings as having no cost - that is the money can be used for
investment projects without involving stockholders or other outside sources (Hitt and Kochhar,
1998). Also, it avoids further diluting stock to raise capital. The stockholders may also rather
receive capital gains as opposed to dividends because of the favorable tax treatment on capital
gains (Brigham and Ehrhardt, 2008).
Foot Locker’s Proposed Optimal Capital Structure
Foot Locker’s optimal capital structure is shown in Figure 6. The optimal capital
structure is said to be one that minimizes WACC. At a WACC of 10.66% the cap structure
adheres to this principle. At 50% debt the cost of debt remains relatively unchanged up to a
certain point at which it then begins to increase. Foot Locker’s proposed optimal capital
structure illustrates this threshold before the cost of debt increases. However, the target optimal
capital structure should probably be below a debt ratio of 50% and above a ratio of 45% if we
assume that firms try to maintain a reserve borrowing capacity.
Conclusion
We have found that a firm with less operating leverage can afford to have a greater level
of financial leverage. This is because they will have less business risk and less volatile earnings.
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Also, managers must seriously asses the firm’s tax position to find out where their tax shield
brings the most benefit. Subsequently, it is important to remember that financial leverage and
operating leverage increase the probability of bankruptcy and incite financial distress costs. This
makes it imperative for managers to pay attention to credit markets, lenders, and how credit
agencies are grading debt. The conclusion that can be drawn from this is that capital structure
decisions are highly complex because of the direct implications they have on the financial
functionality of the firm. While a single optimal capital structure may not exist, there is a target
optimal capital structure for each business situation that a firm encounters.
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Bielecki, T., and Rutokowski, M. (2000). “Valuing Corporate Securities”. Journal of Finance, 31 (2): 351-367 Froot, K.A., and Skin, J.C. (1999). “Risk Management, Capital Budgets, and Capital Structure Policy for Financial Institutions: An Integral Approach”. Journal of Financing Economics, 1 – 82. Glen, R. T. (2010). "Capital structure decisions: what have we learned?". Business
Horizons. FindArticles.com. 24 Mar, 2010. http://findarticles.com/p/articles/mi_m1038/is_n5_v40/ai_20135491/
Joyce, W.B. (2010). "Capital structure and financial stress". Credit & Financial Management Review. FindArticles.com. 24 Mar, 2010. http://findarticles.com/p/articles/mi_qa3857/is_200004/ai_n8899698/
Kochhar, R., Michael, H.A. (1998). "Linking Corporate Strategy to Capital Structure." Strategic Management Journal. June 1998.
Minton, B. and Schrand, C. (1999). “The Impact of Cash Flow Volatility on Discretionary Investment and the Costs of Debt and Equity Financing”. Journal of
Financing Economics, 430 – 460.
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FIGURE 1
Foot Locker’s Capital Structure
Debt Common Stock
Retained Earnings
2007 40% 24% 36%
2008 35% 35% 41%
2009 33% 22% 43%
2010 31% 29% 40%
FIGURE 2
Probability of
EBIT given
DOL
EBIT at a low DOL
EBIT at a high DOL
EBITL EBITH
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FIGURE 3
2008 2009
Sales Revenue $5.44M $5.24
EBIT $61 $49M
DOL = .24/.03 = 8
Change in EPS given a high DOL (8) that increases business risk (risk
of using no debt)
EBIT $61M $49M
Interest 0 0
EBT $61M $49M
Taxes (35%) -$21.2M -$17.2M
Earnings After Tax $39.8M $31.8M
Preferred Dividends 0 0
Operating Income $39.8M $31.8M
Divide by # of shares 156.9M 156.9M
EPS= $0.25 $0.20
3% change
24% change
25% Change (High DOL = High EPS
volatility)
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FIGURE 4
2008 2009
Sales Revenue $5.44M $5.24
EBT $45 $40M
DOL = .24/.03 = 3.6
Change in EPS given a high DOL (8) that increases business risk (risk
of using no debt)
EBIT $61M $49M
Interest -$16M -$9
EBT $45M $40M
Taxes (35%) -$15.8 -$14M
Earnings After Tax $39.7M $26M
Preferred Dividends 0 0
Operating Income $39.7M $26M
Divide by # of shares 156.9M 156.9M
EPS= $0.25 $0.17
11% change
32% Change (Foot Locker debt carries a
lot of additional risk)
3% change
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FIGURE 5
*Only debt levels are shown, reference FIGURE 1 for full cap structure
FIGURE 6 Foot Locker’s Optimal Capital Structure
% of Debt Market D/S
After tax cost of D
Estimated Beta
Cost of Equity
WACC Vale of ops
10%
11.11% 5.1% .88 12.9% 12.0%
20
25.02 5.25 .95 13.4 11.52
30
43.03 5.45 1.05 13.9 11.17
40
66.99 6.1 1.15 14.5 10.78
50
100.00 6.75 1.35 15.4 10.66 $38.6M
60
149.30 7.8 1.61 16.7 10.74
70
233.33 9.7 2.05 18.9 10.99
0
2
4
6
8
10
12
2007 (40%) 2008 (35%) 2009 (33%) 2010 (31%)
ROE