Determine the optimal capital structure of BOT projects using interval numbers with Tianjin Binhai New District Metro Z4 line in China as an example

2019 ◽  
Vol 26 (7) ◽  
pp. 1348-1366
Author(s):  
Yuning Wang ◽  
Xiaohua Jin
Keyword(s):  
Capital Structure ◽  
Operating Cost ◽  
Interval Number ◽  
Risk Level ◽  
Public Infrastructure ◽  
Content Type ◽  
Optimal Capital Structure ◽  
Passenger Flow ◽  
Optimal Capital ◽  
The Impact

Purpose Various factors may influence project finance when a multi-sourced debt financing strategy is used for financing capital investments, in general, and public infrastructure investments, in particular. Traditional indicators lack comprehensive consideration of the influences of many internal and external factors, such as investment structure, financing mode and credit guarantee structure, which exist in the financing decision making of BOT projects. An effective approach is, thus, desired. The paper aims to discuss these issues. Design/methodology/approach This paper develops a financial model that uses an interval number to represent the uncertain factors and, subsequently, conducts a standardization of the interval number. Decision makers determine the weight of each objective through the analytic hierarchy process. Through the optimization procedure, project investors and sponsors are provided with a strategy regarding the optimal amount of debt to be raised and the insight on the risk level based on the net present value, as well as the probability of bankruptcy for each different period of debt service. Findings By using an example infrastructure project in China and based on the comprehensive evaluation, comparison and ranking of the capital structures of urban public infrastructure projects using the interval number method, the final ranking can help investors to choose the optimal capital structure for investment. The calculation using the interval number method shows that X2 is the optimal capital structure plan for the BOT project of the first stage of Tianjin Binhai Rail Transit Z4 line. Therefore, investors should give priority to selecting a capital contribution ratio of 45 per cent for this investment. Research limitations/implications In this paper, some parameters, such as depreciation life, construction period and concession period, are assumed to be deterministic parameters, although the interval number model has been introduced to analyze the uncertainty indicators, such as total investment and passenger flow, of BOT rail transport projects. Therefore, more of the above deterministic parameters can be taken as uncertainty parameters in future research so that calculation results fit actual projects more closely. Originality/value This model can be used to make the optimal investment decision for a project by determining the impact of uncertainty factors on the profitability of the project in its lifecycle during the project financial feasibility analysis. Project sponsors can determine the optimal capital structure of a project through an analysis of the irregular fluctuation of the unpredictable factors in project construction such as construction investment, operating cost and passenger flow. The model can also be used to examine the effects of different capital investment ratios on indicators so that appropriate measures can be taken to reduce risks and maximize profit.

Company performance and optimal capital structure: evidence of transition economy (Russia)

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Vladislav Spitsin ◽  
Darko Vukovic ◽  
Sergey Anokhin ◽  
Lubov Spitsina
Keyword(s):  
Capital Structure ◽  
Interest Rates ◽  
Transition Economies ◽  
Transition Economy ◽  
High Tech ◽  
Company Performance ◽  
Return On Assets ◽  
Content Type ◽  
Optimal Capital Structure ◽  
Optimal Capital

PurposeThe paper analyzes the effects of the capital structure on company performance (return on assets). The analysis is conducted in a large sample of high-tech manufacturing and service companies in the transition economy (Russian Federation). In addition to the aggregated analysis, separate investigations are conducted to scrutinize the impact of company age, size and location factors (the effects of agglomerations). This research postulates the existence and variability of the optimal capital structure and its dependence on economic crisis.Design/methodology/approachWe utilized a large sample that includes 1,826 enterprises over the period from 2013 to 2017. The estimation was performed using the panel-corrected standard error estimation technique (Prais–Winsten regression) to account for the panel nature and distributional properties of our data. The existence of the optimal capital structure was assessed based on a curvilinear (quadratic) function.FindingsThe results are consistent with the Static Trade-off Theory and show that this theory is applicable to countries with transition economy. They demonstrate that effective management of the capital structure can increase return on assets by 16–22%. The optimal share of borrowed capital is higher for small businesses compared to larger ones and for enterprises located in agglomerations compared to those located in other regions. A greater increase in profitability can be achieved by larger firm companies compared to smaller ones. High share of borrowed capital leads to negative profitability, i.e. to losses by enterprises. No significant differences in profitability growth were identified between young and mature enterprises. The optimal share of borrowed capital that maximizes return on assets is in the range of 0–21%.Research limitations/implicationsDue to the SPARK policies, our access to the data has been limited to a five-year window, which imposed certain limitations on the choice of econometric methods we could have employed and somewhat limited our ability to contrast the effect of the crisis period with the period of stability. In this sense, although our results pertaining to the effect of the crisis could be treated as conservative, future research should consider extending the panel to include more years into consideration.Practical implicationsWe identified significant differences between optimal capital structures and actual capital structures for high-tech enterprises. The contribution of this study is that the calculations were made for a country with a transition economy under crisis conditions. Countries with transition economies and developing countries tend to be characterized by a high level of interest rates on loans and a high proportion of borrowed capital in total assets. This poses difficulties for companies relying on borrowed capital to finance their operations. At the same time, our results demonstrate that in transition economies, enterprises in high-tech industries do have an optimal capital structure that allows maximizing firm performance. That is, Static Trade-off Theory is applicable to transition economies characterized by high interest rates on loans.Originality/valueThe novelty of this study lies in the detailed analysis of high-tech industries in Russian Federation. This analysis makes use of sophisticated econometric techniques for the first time in this context.

scholarly journals Optimal capital structure and the debtholder-manager conflicts of interests: a management decision model

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Olanike Akinwunmi Adeoye ◽  
Sardar MN Islam ◽  
Adeshina Israel Adekunle
Keyword(s):  
Corporate Governance ◽  
Capital Structure ◽  
Differential Game ◽  
Agency Problem ◽  
Dynamic Game ◽  
Cost Of Debt ◽  
Conflicts Of Interests ◽  
Content Type ◽  
Optimal Capital Structure ◽  
Optimal Capital

Purpose Determining the optimal capital structure becomes more complicated by the presence of an agency problem. The issuance of debt as a corporate governance mechanism introduces the asset substitution problem – the agency cost of debt. Thus, there is a recognized need for models that can resolve the agency problem between the debtholder and the manager who acts on behalf of the shareholder, leading to optimal capital structure choice, and enhanced firm value. The purpose of this paper is to model the debtholder-manager agency problem as a dynamic game, resolve the conflicts of interests and determine the optimal capital structure. Design/methodology/approach As there is no satisfactory model for dealing with the above issues, this paper uses a differential game framework to analyze the incongruity of interests between the debtholder and the manager as a non-cooperative dynamic game and further resolves the conflicts of interests as a cooperative game via a Pareto-efficient outcome. Findings The optimal capital structure required to minimize the marginal cost of the agency problem is a higher use of debt, lower cost of equity and withheld capital distributions. The debtholder is also able to enforce cooperation from the manager by providing a lower and stable cost of debt and a greater debt facility in the overtime framework. Originality/value The study develops a new dynamic contract theory model based on the integrated issues of capital structure, corporate governance and agency problems and applies the differential game approach to minimize the agency problem between the debtholder and the manager.

The optimal capital structure of Swiss dairy farms

2019 ◽  
Vol 79 (3) ◽  
pp. 323-337 ◽  
Author(s):  
Anke Schorr ◽  
Markus Lips
Keyword(s):  
Risk Aversion ◽  
Capital Structure ◽  
Performance Indicators ◽  
Value Added ◽  
Dairy Farms ◽  
Data Set ◽  
Content Type ◽  
Optimal Capital Structure ◽  
Optimal Values ◽  
Optimal Capital

PurposeThe purpose of this paper is to propose a novel way of determining optimal capital structure, applied to sub-groups of Swiss dairy farms from 2003 to 2014. Optimization of capital structure is carried out with respect to two performance indicators from an economic value added perspective.Design/methodology/approachOptimal values of capital structure are obtained based on a minimization of correlation between economic performance indicators and a distance function of the debt-to-asset ratio distribution to its quantiles. The approach differs from existing approaches in relying solely on empirical data and in using fewer external parameters, which are difficult to estimate, such as risk aversion coefficients. An unbalanced panel data set from the Swiss Farm Accounting Network with almost 14,000 dairy farm observations serves as input data to the model.FindingsConcise optimal values of capital structure result for regional and temporal sub-groups of Swiss dairy farms. Comparing the evolution of optimal values for these sub-groups with existing models of optimal capital structure, the authors infer that dairy farmers in the mountain region are less risk averse than their counterparts in the valley region and that falling interest rates increase the optimal value of debt-to-asset ratio.Originality/valueThe straightforward computation of optimal values for capital structure without intermediate parameters is useful and new. In addition, the authors’ model can be used as a tool for comparison and validation of previous models with the same aim, e.g. for comparison of risk aversion coefficients or qualitative behavior of optimal values for capital structure.

Optimal capital structure in agricultural cooperatives and implications for equity retirement

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jeffrey Royer ◽  
Gregory McKee
Keyword(s):  
Interest Rate ◽  
Capital Structure ◽  
Financial Statements ◽  
Rate Of Return ◽  
Content Type ◽  
Optimal Capital Structure ◽  
Return On Capital ◽  
Optimal Capital ◽  
The Interest Rate ◽  
The Relationship

PurposeThis paper presents a model for determining the optimal capital structure for cooperatives and explores the relationship between financial leverage and the ability of cooperatives to retire member equity.Design/methodology/approachA model is developed to determine the optimal capital structure and explore the relationship between capital structure and the rate at which a cooperative can retire member equity. Using data from cooperative financial statements, ordinary least-squares regressions are conducted to test two hypotheses on capital structure and equity retirement.FindingsThe model shows that the optimal capital structure is determined by the ratio of the rate of return on capital employed to the interest rate on borrowed capital and the required level of interest coverage. The regressions suggest that cooperatives choose their capital structure largely according to the rate of return on capital employed and the interest rate in a manner consistent with maximizing the rate of return on equity and that the rate at which cooperatives can retire member equity is directly related to leverage.Research limitations/implicationsThe model does not consider unallocated earnings. Analysis of the relationship between leverage and equity retirement yields results contrary to the assumptions of earlier studies.Practical implicationsCooperatives can use the model because the necessary parameters are easily understood and readily available from financial statements, lenders and industry sources.Originality/valueThe model is developed specifically for determining the capital structure of cooperatives and differs substantially from the corporate model. A theoretical basis is provided for the relationship between leverage and equity retirement.

scholarly journals METHODS OF CORPORATE CAPITAL CAPITAL STRUCTURE OPTIMIZATION

2021 ◽  
Vol 298 (5 Part 1) ◽  
pp. 258-263
Author(s):  
Serhiy FROLOV ◽  
◽  
Mariia DYKHA ◽  
Viktoriia DZIUBA ◽  
◽  
...  
Keyword(s):  
Capital Structure ◽  
Initial Conditions ◽  
Weighted Average ◽  
Structure Optimization ◽  
Financial Leverage ◽  
Optimal Capital Structure ◽  
Advantages And Disadvantages ◽  
Optimal Capital ◽  
The Impact ◽  
The Capital Structure

When forming the optimal capital structure, the choice of methods, approaches, tools is important, which is determined by a set of initial conditions, the need to perform the tasks, achieving results / strategic guidelines. The purpose of the article is to systematize scientific approaches to optimize the capital structure, to clarify the impact of factors on the capital structure of the corporation, which will serve as a basis for ensuring the optimal level of capital structure. As a result of the research, the views of scientists on the optimization of capital structure are systematized, the key aspects of the three main approaches to such optimization are singled out and described. The approaches used in determining financial leverage are described. The expediency of determining financial leverage through the ratio of EPS – earnings per share and EBIT – earnings before interest and taxes is substantiated. The most common methods of capital structure optimization are identified: the method of capital expenditures (the method of minimizing the weighted average cost of capital); the method of determining the effect of financial leverage or the method of maximizing the level of financial profitability; method of determining the complex operational and financial leverage; EBIT-EPS valuation method, Du Pont method, operating profit method and adjusted present value method. Their features, advantages and disadvantages of use are described. The factors influencing financial leverage are systematized, the positive or negative influence of each of the determined factors on financial leverage is determined. A matrix of factors that determine the optimal capital structure in terms of the environment (internal or external) and the implementation of financial policy (at the strategic or operational-tactical levels).

scholarly journals Levered-Beta and Cost of Capital Sensitivities: An Experimental Investigation in Capital Structure

2021 ◽  
Vol 14 (4) ◽  
pp. 152
Author(s):  
Kudret Topyan
Keyword(s):  
Capital Structure ◽  
Cost Of Capital ◽  
Weighted Average ◽  
Debt Ratio ◽  
Bond Ratings ◽  
Optimal Capital Structure ◽  
Rating Method ◽  
Optimal Capital ◽  
The Cost ◽  
The Impact

Using US firms with over $5b market cap, this paper tests the impact of levered beta on the firm’s market value and optimal capital structure. Using the synthetic rating method in a recursive model, the paper shows the current and optimal weighted average cost of capital sensitivities as the firm’s market risk measured by beta changes. The paper shows that the change in the value of beta due to alternative leverage levels or other risk factors will alter the cost of capital insignificantly and has no impact on the optimal capital structure due to those firms’ extra-strong bond ratings. As a side-benefit of the synthetic rating method, one may also observe the market-level variables’ impacts on the cost of capital computations and the optimal debt ratio. The paper uses Disney Corporation to show how the synthetic rating methodology helps to disclose the sensitivities of hypothetical alternative leverages.

scholarly journals MANAGING CORPORATE LIQUIDITY: STRATEGIES AND PRICING IMPLICATIONS

2011 ◽  
Vol 14 (03) ◽  
pp. 369-406 ◽  
Author(s):  
ATTAKRIT ASVANUNT ◽  
MARK BROADIE ◽  
SURESH SUNDARESAN
Keyword(s):  
Capital Structure ◽  
Financial Distress ◽  
Firm Value ◽  
Agency Costs ◽  
Equity Prices ◽  
Loan Commitments ◽  
Optimal Capital Structure ◽  
Trade Offs ◽  
Optimal Capital ◽  
The Impact

Defaults arising from illiquidity can lead to private workouts, formal bankruptcy proceedings or even liquidation. All these outcomes can result in deadweight losses. Corporate illiquidity in the presence of realistic capital market frictions can be managed by (a) equity dilution, (b) carrying positive cash balances, or (c) entering into loan commitments with a syndicate of lenders. An efficient way to manage illiquidity is to rely on mechanisms that transfer cash from "good states" into "bad states" (i.e., financial distress) without wasting liquidity in the process. In this paper, we first investigate the impact of costly equity dilution as a method to deal with illiquidity, and characterize its effects on corporate debt prices and optimal capital structure. We show that equity dilution produces lower firm value in general. Next, we consider two alternative mechanisms: cash balances and loan commitments. Abstracting from future investment opportunities and share re-purchases, which are strong reasons for corporate cash holdings, we show that carrying positive cash balances for managing illiquidity is in general inefficient relative to entering into loan commitments, since cash balances (a) may have agency costs, (b) reduce the riskiness of the firm thereby lowering the option value to default, (c) postpone or reduce dividends in good states, and (d) tend to inject liquidity in both good and bad states. Loan commitments, on the other hand, (a) reduce agency costs, and (b) permit injection of liquidity in bad states as and when needed. Then, we study the trade-offs between these alternative approaches to managing corporate illiquidity. We show that loan commitments can lead to an improvement in overall welfare and reduction in spreads on existing debt for a broad range of parameter values. We derive explicit pricing formulas for debt and equity prices. In addition, we characterize the optimal draw down strategy for loan commitments, and study its impact on optimal capital structure.

Research on the refinancing capital structure of highway PPP projects based on dynamic capital demand

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Wenhua Hou ◽  
Lun Wang
Keyword(s):  
Decision Making ◽  
Capital Structure ◽  
Dynamic Change ◽  
Road Maintenance ◽  
Dynamic Changes ◽  
Content Type ◽  
Optimal Capital Structure ◽  
Proposed Model ◽  
Optimal Capital ◽  
Capital Demand

PurposeWith the majority of highway projects in China having entered their operational phases, the maintenance and repair of the pavement is receiving increasing attention. One problem that needs to be addressed urgently is that of how to raise the proper funds for highway maintenance to ensure the sustainable operation of the project. To this end, the aim of this study is to investigate the capital demand for operation and maintenance of a project by means of a refinancing scheme, in order to reduce the possibility of project bankruptcy and to enhance the economic value of the project.Design/methodology/approachBased on an analysis of the dynamic complexity of the highway pavement maintenance system, a Markov model is used to predict pavement performance, and an optimal capital structure decision model is proposed for highway public–private partnership (PPP) project refinancing, using the method of system dynamics (SD). The proposed model is then applied to a real case study.FindingsResults show that the proposed model can be used to predict accurately the dynamic changes in the demand for road maintenance funds and refinancing during the period of operation, before making the optimal decision for the refinancing capital structure.Originality/valueAlthough many scholars have studied the optimal refinancing capital structure of PPP projects, the dynamic changes inherent in the demand for maintenance funds for highway PPP projects are seldom considered. Therefore, in the approach used here the influence of the dynamic change of road maintenance capital demand on refinancing is investigated, and SD is used for the optimal capital structure decision-making model of highway PPP project refinancing, to make the decision-making process more reasonable and scientific.

scholarly journals IMPACT OF SELECTED CHARACTERISTICS OF SMES ON THE CAPITAL STRUCTURE

2018 ◽  
Vol 19 (4) ◽  
pp. 592-608 ◽  
Author(s):  
Jaroslav Belas ◽  
Beata Gavurova ◽  
Peter Toth
Keyword(s):  
Capital Structure ◽  
The Czech Republic ◽  
Financial Decisions ◽  
Optimal Capital Structure ◽  
Business Area ◽  
Optimal Capital ◽  
Business Entities ◽  
The Impact ◽  
Corporate Practice ◽  
The Capital Structure

The optimal capital structure is a key precondition for business, even though defining the optimal capital structure is difficult. The available studies present many different and mutually contradictory factors that need to be taken into account in the strategic financial decisions of managers. Their importance and intensity are different for individual business entities. Given the specificities of companies in the SME segment, achieving an optimal capital structure is a challenging task as there is no model of an optimal capital structure that can be universally applied in corporate practice. For this reason, we decided to realize our research. The main aim of the paper is to identify determinants of the SME’s capital structure. We studied the impact of four determinants: region, business area, number of employees and business duration, on the manager’s decisions about capital structure in the enterprise. Our research is based on the database ‘Albertina’, which consist of all SME in the Czech Republic. We applied ordinal logistic regression and estimated five models. These models were used to predict attitude of SME to the capital structure. Analysis was done in R Software. The main finding is that the size of the company measured by the number of employees effects its attitude to volume of foreign and own capital used to finance its activities. Analysis also showed that entrepreneurs with longer duration of taking their business prefer more foreign capital than their own capital. Business area and region where enterprise is located do not significantly affect capital structure.

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