Empirical Study of Optimal Capital Structure
and the Debt Capacity of BOT Projects
Borliang Chen* and Chen-Hung Tang
Department of Civil Engineering, National United University, Taiwan
Submission: February 01, 2019; Published: February 20, 2019
*Corresponding Author:Borliang Chen, Department of Civil Engineering, National United University, Taiwan
How to cite this article:Borliang C, Chen H T. Empirical Study of Optimal Capital Structure and the Debt Capacity of BOT Projects. Civil Eng Res J.
2019; 7(3): 555713. DOI: 10.19080/CERJ.2019.07.555713
It is world widely trend for governmental agencies to promote private sectors to participate in the development of infrastructures, such as BOT projects. However, BOT projects are inherently risky due to too many uncertainties during the project period. Overoptimistic in revenue and lack of risk analysis in BOT projects might usually lead the concessionaire to misestimate the project feasibility. This may result in high probability of defaults (PD) of BOT projects and cause financial disaster toward concessionaire. In the worst situation, it could make the projects become unbackable. However, it is rarely to discuss the probability of defaults and bankruptcy cost in the conventional BOT financial model. In general, capital structure of BOT projects is assumed 30% of equity and 70% of debt, and debt repayment is arranged in repaying equivalent uniform annul cost debt in repayment periods. This kind of repayment arrangement does not consider the erratic nature of revenue. It is risky to repay the debt obligation with inflexible repayment term. And, it may lead to high PD of the projects. The objective of this study was to alleviate the risk of project defaults due to the volatility of revenue. A student dormitory project of the national United University in Taiwan is used as an empirical study to demonstrate the analysis. The repayment arrangement proposed in this paper could make the 35% PD of the project reduce to less than 1% PD.
Keywords: BOT projects; Financial measures; Risk analysis; Probability of defaults
For mitigating the fiscal burden of government, improving the quality of infrastructure, and increasing the investment opportunities, it becomes world widely trend for governmental agencies to promote private sectors to participate in the development of infrastructure projects, such as BOT projects. However, many BOT projects are long term investments, which are inherently risky. Mostly, the concessionaires of BOT projects are too optimistic in revenue projections and are short of project risk analysis of BOT projects, which both overestimate the project value. Conventional financial evaluation models of BOT projects set the capital structure as D/E=7/3, in common, and repay the debt obligation as the equivalent uniform annual cost. In this financial arrangement, concessionaires are likely to encounter financial difficulty during the project period with shortage of cash flows. For example, the fixed equivalent uniform annual payment for debt may cause great probability of defaults of the project when low revenue or high operating and maintenance cost occur in certain operation periods. Net operating income is the difference between revenue and operating and maintenance cost. And, the project income is considered as the source of project value. Therefore, the net operating income is a critical managerial factor.
The future net operating income is uncertain in every year of operating period, while the debt obligation is uniform annual cost; the probability of defaults is fluctuant. And if high probability of defaults would debase the debt value and make concessionaires find difficulty in financing the projects. In fact, the replacement cost of project facility is a considerable expenditure in operating period. The huge expenditure will outstandingly enlarge the operating and maintenance cost of the years compare to others. If facility replacement took place in the debt repayment periods, the great replacement cost would diminish the ability of repaying the outstanding debt of the concessionaire, and the probability of defaults would increase or even really cause the concessionaire defaults.
If the project company became bankrupt, debt holders would have to pay bankruptcy cost before they could take over the company. Bankruptcy cost will vary the debt value because of the existence of the probability of defaults. The objective of this paper was to evaluate the probability of defaults under different debt repayment arrangement. With the knowledge of the distribution of net operating income, which is defined as a random variable, the probability of defaults, debt and equity value can be calculated. The probability of defaults and promised debt repayment would be determined under three criteria:
maximizing project value, debt capacity and value at risk with
a confidence level of 99%. The model in this study is named as
Probability of Defaults Measures Model (PDMM).
The basic theory of the PDMM in this paper is based on
the Capital Asset Pricing Model (CAPM) [1-4]. Dais (1995)
incorporated the CAPM with capital cost into an evaluation
model of project value, in monetary units. A modification of
Dais’s formulation for the debt holders’ perspectives is proposed
with considering the cost of bankruptcy, the probability of
defaults, and the systematic risks. The probability of bankruptcy
is the likelihood that a firm’s cash flows will be insufficient to
meet its promised debt obligation, either interest or principal.
Suppose that in a specific year of repayment periods of the
project, the net operating income was unable to meet the debt
obligation. Then the concessionaire would fall into defaults. The
probability of defaults is the probability of the state that the
net operating income was less than the loan. The net operating
income, X, is assumed to be a normal random variable. As the
period of debt repayment, Rp, expected value of the net operating
income, E[Xi], standard deviation, σX, and the ith year promised
debt repayment, di, are given, the probability of defaults, F(di),
could be determined. The equation is as follow:
Frequently, the project value is regarded as one of the most
important criteria in the project financial feasibility evaluation.
The greater the project value is, the higher the feasibility of the
project. But the project would be feasible only if the project value
was greater than the project cost. Project value is considered
the sum of debt value and equity value, in this study, both debt
and equity depend on the net operating income. In a project
evaluation, the risk usually reflects in the cost of debt and equity.
Base on the foundation theory of CAPM, Dais (1995) derived a
model with considering the systemic risk, risk of revenue and
the risk of default. The model provides a scheme to evaluate the
value of debt and equity individually.
The project value, V , can be calculated by summing the debt,
D, and equity, E .
Optimal capital structure (OCS) is the proportion of debt and
equity that maximizes the project value. OCS depends on the
promised repayment of debt. The value of debt increases when
the concessionaire raises the promised debt repayment. On the
contrary, the value of equity decreases. As the optimal capital
structure was obtained, the probability of default could be
determined simultaneously for the given promised repayment.
Since the net operating income is risky, the expected debt
repayment doesn’t continually increase while the promised debt
repayment increases. If the promised debt repayment was very
near to the net operating income, the expected debt repayment
would decrease because of the increasing of the probability
of defaults. The present value of the maximum of debt value
is the debt capacity, one of the debt holders’ main concerns.
Intuitionally, debt holders will not gain their debt when the
promised repayment is greater than this critical value.
A case of university dormitory of National United University
(NUU) in Taiwan is to illustrate the PDMM as an empirical study of this paper. It is a BOT project of dormitory in National United
University. The input parameters and results are shown as follow.
Input parameters of the National United University dormitory
BOT project are shown as Table 1. These parameters are useful
only when loan relationship exist between the concessionaire
and the debt holders.
The loan was assumed 70% of total asset in conventional
model and the debt principal and interest were repay in
equivalent uniform annual cost during 15years of debt repayment
periods. The PD is large especially in the 12th and 15th years that
the years of replacement expenditure payout. The average PD
of σx=20%. E[Xi] is equals to 29.4%. The high PD suggests the
difficulty of debt finance. The PDs with two criteria of optimal
capital structure and debt capacity in every repayment period of
PDMM are shown in Figure 2 and Figure 3, respectively
Figure 4 illustrate the debt ratio with different standard
deviation value under the three criteria. Great value of standard
deviation causes less available debt finance. And maximizing
the debt value can raise more debt than maximizing the project
value. Taking 1% risk of PD can raise more debt than maximizing
project value but les than maximizing debt value.
Debt repayment arrangement in conventional model will
result in high probability of default. It is very risky for concessionaire
to go bankruptcy. Likewise, for debt holders are unable
to receive the payback. Therefore, it is suggesting that the debt
repayment is necessary to rearrange with considering the characteristic
of net operating income every year. Maximizing the
project value leads to safer debt finance with low probability
of default. However, the disadvantage is that the concessionaire
would find it difficult to finance more debt compare to the case
of maximizing the debt value. Consequently, making the decision
of whether to raise more debt or to improve the project value
is essential for concessionaire. No matter which criteria concessionaire
select, maximizing the debt value and maximizing the
project value, the probability of default reduces dramatically to
1% from original more than 35%. The BOT project becomes very
promising and attractive for loan providers.