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Transcript
Conference of the International Journal of Arts and Sciences
1(19): 166 – 170 (2009)
CD-ROM. ISSN: 1943-6114
© InternationalJournal.org
Impact of EBITDA on Capital Expenditures in the Shipping Industry
Yatin Bhagwat, Grand Valley State University, USA
Marinus DeBruine, Grand Valley State University, USA
Abstract: The shipping industry plays a key role in the global economy. It has changed
dramatically in the last thirty years as regulatory and economic changes drove increased
efficiencies, increased merger activity, and increased growth. Shipping firms make large
investments in rolling and floating stock, and funding these investments is crucial to sustaining
growth. This paper studies a firm’s earnings impact on capital expenditures in order to help
understand a firm’s investment funding decisions. More specifically, this study provides insight
into how a change in a firm’s operating performance impacts its capital investment decisions.
Keywords: capital expenditures, degree of earnings leverage, shipping industry
1. INTRODUCTION
In 2007 the global marine shipping industry – shipping both passengers and goods overseas –
generated total revenues of $578.3 billion. According to a report by DataMonitor (2008), a
leading business information firm specializing in industry analysis, the industry volume
measured in million metric tons of cargo grew by a compounded annual growth rate (CAGR) of
4.6% between 2003 and 2007 to reach a total volume of 7.3 billion tons in 2007. The dry cargo
segment was the largest segment of the industry accounting for 65% of the total industry volume,
while the tanker cargo generated about 2.5 billion tons in 2007. According to estimates by
DataMonitor the industry is expected to grow at a CAGR of 4.1% for the five year period 20072012. Five of the largest marine shipping companies account for about 15% of the market share.
Asia-Pacific accounts for 36% of the volume followed by Europe at 25% and USA at 21.5%.
High barriers to entry due to high cost of vehicles together with increasing economies of scale
affect competition in the industry. The industry structure is also affected by strict international
governmental regulations and the cyclicality of demand. The bargaining power of customers is
limited. For example in the case of India, whose imports of raw materials and export of finished
goods have shown an insatiable appetite, about 75% of the marine shipping needs are met by
foreign shippers. Shipbuilding in India has kept at a rowboat’s pace while the economy has been
surging at jet-ski speeds. A major operating expense that has skyrocketed for shippers has been
the cost of diesel fuel. The sharp rise in fuels costs has surpassed all hedging scenarios and the
hence gains from hedging have been contained the damage to limited extents. Other suppliers to
the industry are port operators. Congestion at ports has resulted in higher fees that have added to
the hardships due to rising energy costs. However, the limited buyer power has allowed the
industry to transfer most of those hardships to its customers and remain profitable in recent
years.
As international trade tends to be cyclical, demand for shipping services is also cyclical as
reflected by volatile freight rates. The shipping industry is generally characterized by a
continuous demand-supply imbalance. Demand is affected by volume of trade, shifting global
trade patterns, regional disparities, and regulatory interventions. Supply follows demand. The
stock of vessels can be influenced by changes in scrapping of old vessels and changes in the
stream of new builds. The capital investment in building of new vessels also follows cyclical
patterns. Prices of ships are affected by variable costs and timing of ship purchase/sale is a
critical determinant of shipper’s profitability. In 2004 the average age of the world fleet was 12.3
years with almost 27% of the fleet older than 20 years. General cargo vessels had an average age
of 17.5 years then, and container ships were just 9.4 years old on an average. Fleet efficiency
and operating costs are heavily affected by fleet age.
World trade is expected to gather steam under the aegis of WTO and regional free trade
agreements. According to IBM Business Consulting Services, the shipping industry will face
varied challenges in the next few years. Poor port productivity exacerbated by inland bottle
necks makes it increasingly difficult to meet customers’ needs for reliability at low prices.
Optimization of asset use is slowed by organized labor restrictions in some key countries. Trade
flows are becoming more imbalanced. More and more containers are being sent back to their
origins empty resulting in increased repositioning costs as companies struggle to maintain
effective utilization of containers. Due to lack of discipline last minute changes in booking
shipments, while they boost short term revenues, cost container shipping lines efficiency.
Customers are also consolidating their shipping needs and aim to move to 4 ocean carriers from
8 or 9 to the extent possible. Improving container utilization by increasing load factors is a
constant endeavor. Hence shipping firms are making judicious investments in new assets to
guarantee reliability and efficiency to their customers and earn superior returns on their
investments. It is beyond doubt that vessel procurement costs, timing of deliveries, and the mix
of vessels acquired are important determinants of sustainable profits for marine shipping
companies. Combinations of capital and operating leases, partial coverage from shipbuilders,
mezzanine financing, and equity financing are used by shipping companies to acquire expand
their fleets.
Based upon the theorems developed by Modigliani and Miller (1958; henceforth known as
M&M), in perfect capital markets a firm’s value is independent of the source of capital and the
debt-equity mix. Fisher’s(1930) separation theorem argues that investment and financing
decisions are separate from each other. An alternative view, based upon the assumption that
internal and external sources of capital are not perfect substitutes, postulates that capital
investments depend upon financial factors. The study measures and evaluates the concomitance
of operating earnings growth and capital expenditure growth for firms in the marine shipping
industry. It begins with a brief literature review and is followed by a section on the theoretical
model and hypothesis development. The results section includes a comparison of shipping
industry data, performs statistical tests and discusses the results.
2. LITERATURE REVIEW
Myers’ (1982) Static Trade-off theory argues that managers are viewed as trading off the tax
savings from debt financing against costs of financial distress, specifically the agency costs
generated by risky debt and the costs of liquidation. The costs of financial distress are most
serious for firms with valuable intangible assets in the form of growth opportunities and growth
options that rely heavily on Research and Development and Advertising. Hence, such firms are
expected to borrow less. A pharmaceutical firm is expected to borrow less than a chemical firm
even if the two firms’ business risk (as measured by asset Beta) is identical. In contrast, mature
firms holding mostly tangible assets should borrow more. Long and Malitz (1985) confirm the
predicted inverse relationship between proxies for intangible assets and financial leverage. This
implies that in growth oriented firms internal generation of funds is the driving and perpetuating
force for capital expenditures that generates higher revenues.
Titman and Wessels (1988) find that debt ratios are negatively correlated to marketing and
selling expenses, and R&D expenses. These expenses are obvious proxies for intangible assets.
The mature firms may have a tendency to borrow more, as the deadweight costs of financial
distress are likely to be lower. However, the capacity to borrow is linked to the value of equity
in the firm. The increase in debt of mature firms is thus linked to the earnings excluding the noncash charges such as amortization and depreciation.
Gilchrist and Himmelberg (1995) find that capital investments for companies with limited access
to capital markets are sensitive to fluctuations in cash flows. Cunha and Paisana (2004) find that
financial factors affect capital investment decisions of companies plagued with informational
asymmetry in capital markets. Bhagwat and DeBruine (2006) analyzed panel data to assess how
companies in the oil and gas industry draw on their various financial resources (operating cash
flows, liquid assets, and debt) when funding capital expenditures. They found that oil companies
obtained more than half of their funding from internally generated cash flows.
Myers and Majluf (1984) observed that managers know more about their firms than outside
investors do. They are reluctant to issue new stock when they believe their shares are
undervalued. Investors understand that managers know more and that they try to “time” new
stock issues. Investors, therefore, interpret the decision to issue new stock as bad news and
firms, which issue equity, can do so only at a discount. Faced with the reality of this discount,
firms adopt a pecking order in raising capital. They first use all the available internally generated
sources of cash. Internal equity is better than external equity. A new security offering might
mean that the firm has new profitable investment opportunities, but it also might suggest that
management thinks that the firm’s earnings will be lower than previously expected (that is
management’s expectation of a shortfall in cash profits may be the real reason for the new
offering). The establishment of the nexus between informational symmetry and the self-utility
maximizing behavior of managers has resulted in the widely accepted pecking order theory.
Myers (1984) postulates in his “pecking order” theory that a firm has no well-defined target debt
ratio by examining the effects of asymmetric information market disciplining factors. Myers
states those highly profitable firms with limited investment opportunities work down to a low
debt ratio. Firms whose investment opportunities outrun internally generated funds are driven to
borrow more and more. Thus the investment opportunities are primarily financed by internal
funds. The negative intra-industry correlation between profitability and leverage is explained by
the pecking order theory since the least profitable firms in an industry will have less internal
funds for new investment and will end up borrowing more. It is also likely that the least
profitable firm may have the least new investment opportunities.
Prior research suggests that operating earnings are a significant force driving new investment in
advertising and research & development (Bhagwat and DeBruine, 2001, 2004). External sources
of funds may be added to the internally generated pot of cash within limitations based upon the
arguments made above. This paper presents the impact of operating earnings on capital
investment in shipping firms and establishes the capital expenditures elasticity of their earnings.
As a result, this study provides insight into how a change in a firm’s operating performance
impacts its capital investment decisions.
3. CONCLUSION
This study developed and measured the CAPX elasticity of EBITDA (coined the degree of
earnings leverage or DEL) using a cross-sectional regression model. The results obtained for the
ten year period from 1997 through 2006 indicate that – on average – a 1.0% change in EBITDA
results in a 0.5% change in CAPX investments for marine shipping firms – and even higher
increases for firms in the railroad and trucking industries. This result is consistent with earlier
reported findings that firms employing tangible assets are more likely to fund their CAPX
investment from external sources.
This study further investigated whether firms in different shipping industries employ different
CAPX sourcing strategies. Once the observations for trucking and marine shipping firms were
partitioned to control for size differences, the results supported the first hypothesis that
companies in different shipping industries having similar CAPX/EBITDA ratios have similar
DEL estimates – consistent with having similar sourcing strategies. In addition, the results
supported the second hypothesis that DELs decrease as firms increase in size. This does not
necessarily imply that as firms grow larger they use fewer internally generated dollars to fund
their capital investments as it may well be that smaller firms face more growth opportunities that
in turn encourage them to spend more of their cash flows on capital expenditures and –
proportionately – take on more debt than their larger counterparts.
4. REFERENCES
Bhagwat, Y., DeBruine M. and Gondhalekar, V. (2001). R&D Leverage – A Measure to
Evaluate the Impact of R&D on Earnings of Pharmaceutical Companies, Journal of Research in
Pharmaceutical Economics, Vol. 11(3/4), pp. 55-68.
Bhagwat, Y. and DeBruine, M. (2004). Degree of Advertising Leverage – A Measure to
Evaluate the Impact of Advertising on Earnings of Corporations, Journal of Pharmaceutical
Finance, Economics, and Policy, Vol. 13(3), pp.55-67.
______________ (2006). Financial Accelerator and Capital Creation in the Oil and Gas Pipeline
Industry, Oil and Gas Energy Quarterly (March), pp. 601-14.
______________ (2008). Impact of EBITDA on Capital Expenditures: Degree of EBITDA
Leverage, Oil and Gas Energy Quarterly (June), pp. 887-95.
Cunha, J. and Paisana, A. (2005). The Financial Accelerator Mechanism: The Case of the
Portuguese Small Manufacturing Firms, in Veloutsou, C. and G.T. Papanikos (Eds), The Modern
Business Function and Environment, ATINER, Athens, pp. 509-21.
DATAMONITOR (2008). Global Marine Industry Profile (Reference code: 0199-2101, April),
pp. 1-32.
Fisher, I. (1930). The Theory of Interest, New York, Macmillan.
Gilchrist, S. and Himmelberg, P. (1995). Evidence on the Role of Cash Flow for Investment,
Journal of Monetary Economics 36, pp.541-72.
Long, M. and Malitz, I. (1985). Investment Patterns and Financial Leverage, in B. Friedman (ed),
Corporate Capital Structure in the United States, Chicago, University of Chicago Press.
Mandelkar, G. and Rhee, G. (1984). The Impact of Degrees of Operating and Financial Leverage
on systematic Risk of Common Stock, Journal of Financial and Quantitative Analysis (March),
pp. 45-57.
Modigliani, F. and Miller, M.H. (1958). The Cost of Capital, Corporation Finance and the
Theory of Investment, American Economic Review, Vol. 48 (June), pp. 261-97.
______________ (1961). Dividend Policy, Growth, and the Valuation of Shares, Journal of
Business, Vol. 34 (October), pp. 411-33.
Myers, S.C. (1984). The Capital Structure Puzzle, Journal of Finance, Vol.39 (July), pp. 575-92.
Myers, S.C. and Majluf, N.S. (1984). Corporate Financing and Investment Decisions When
Firms Have Information That Investors Do Not Have, Journal of Financial Economics, Vol. 13
(June), pp. 187-221.
Titman, S. and Wessels, R. (1988). The Determinants of Capital Structure Choice, Journal of
Finance, Vol.43, pp. 1-19.