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.

Financing Decisions and Performance of Italian SMEs in the Hotel Industry

2018 ◽  
Vol 60 (4) ◽  
pp. 335-354 ◽  
Author(s):  
Marco Botta
Keyword(s):  
Capital Structure ◽  
Financial Performance ◽  
Optimal Level ◽  
Pecking Order ◽  
Optimal Capital Structure ◽  
Financing Decisions ◽  
Medium Enterprise ◽  
Optimal Capital ◽  
And Performance ◽  
The Relationship

This study investigates the existence of an optimal capital structure for small and medium enterprise (SME) hotels through the analysis of the relationship between financing decisions and financial performance in a large sample of Italian hotel SMEs. The results show that hotel SMEs face an optimal capital structure that allows them to maximize returns to investors, while instead having both too little and too much debt reduces their financial performance. This notwithstanding, we show that hotel SMEs are not particularly concerned with optimizing their capital structure, and their funding behavior is deeply connected with the availability of internally available funds, a typical pecking order behavior, and they result extremely slow in converging toward their optimal level of leverage so that they could improve their performance by adopting a more sophisticated financial strategy.

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.

Optimization of the Capital Structure of Telecommunications Companies in Russia

2019 ◽  
Vol 7 (3) ◽  
pp. 4-13
Author(s):  
Елена Филонова ◽  
Yelyena Filonova
Keyword(s):  
Capital Structure ◽  
Financial Management ◽  
Weighted Average ◽  
Financial Statements ◽  
Optimal Capital Structure ◽  
Urgent Task ◽  
Optimal Capital ◽  
Telecommunications Market ◽  
Telecommunications Companies ◽  
The Capital Structure

The choice of optimal capital structure is one of the most important tasks solved by financial management and management of any company. This structure allows you to minimize the weighted average cost of capital and increase the value of the company. The study of problems of optimizing the capital structure and identifying ways to solve them is an urgent task of strategic and financial management. This article presents the results of work in the direction of building the optimal capital structure in the strategic group of competitors of the Russian telecommunications market, which include Rostelecom, Mobile TeleSystems, Megafon, Vympel Communications. The initial informational and statistical base of the performed calculations was the materials of the accounting (financial) statements of the selected companies for 2014–2017.

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.

scholarly journals Customer Satisfaction, Efficiency, and Capital Structure as Determinants of Performance Transportation Companies in Indonesia

2017 ◽  
Vol 8 (1) ◽  
pp. 123-133
Author(s):  
◽  
Abdullah Sanusi ◽  
Hendragunawan S. Thayf ◽  
Nur Alamzah
Keyword(s):  
Customer Satisfaction ◽  
Capital Structure ◽  
Capital Market ◽  
High Performance ◽  
Secondary Data ◽  
Sales Growth ◽  
Optimal Capital Structure ◽  
Optimal Capital ◽  
And Performance ◽  
The Relationship

Abstract This study aimed to describe the influence of customer satisfaction, efficiency and optimal capital structure to the increase of the performance of transportation companies in Indonesia. The study was designed in the relationship between variables. The data used is secondary data obtained from the Indonesian Capital Market Directory (ICMD) and the website of 22 companies that were used as samples for 3 years. Data were analyzed using descriptive and inferential statistics analysis to test the hypothesis. The result showed that the efficiency affected customer satisfaction and was reflected in the sales growth of the company. However, it did not have an impact on the level of capital structure as reflected in DER and the performance which reflected in ROA. We also found that there was an indirect effect on the efficiency of the capital structure and performance through customer satisfaction. We also found that there is a significant indirect influence on the efficiency and the performance through customer satisfaction and capital structure. Customer satisfaction capital affects the structure. When customer satisfaction is high, which is reflected in higher sales growth aspect, it will have an impact on the high capital structure, which is reflected in DER. The result shows that customer satisfaction has an effect on the performance. When customer satisfaction is high, which is reflected in higher sales growth aspect, it will have an impact on the high performance, which is reflected in aspects of ROA. The result also indicates that capital structure affects the performance. When a capital structure is high, which is reflected by the high DER aspects, it will impact on the high performance, which is reflected on aspects of ROA.

scholarly journals ANALISIS PENGARUH ROA,ROE,BOPO,DAN SUKU BUNGA TERHADAP TINGKAT BAGI HASIL DEPOSITO MUDHARABAH PADA PERBANKAN SYARIAH

2018 ◽  
Vol 1 (1) ◽  
Author(s):  
Wulandari Nur Cahyani ◽  
Syaikhul Falah ◽  
Ratna Yulia Wijayanti
Keyword(s):  
Interest Rate ◽  
Linear Regression Analysis ◽  
Financial Statements ◽  
Multiple Linear Regression Analysis ◽  
Negative Influence ◽  
Profit Sharing ◽  
Positive Influence ◽  
The Interest Rate ◽  
Rate Of Profit ◽  
The Relationship

This study aimed to analyze the influence of ROA, ROE, BOPO, and the Interest Rate on the rate of profit sharing Mudharabah deposits. The population in this study were allIslamic Banks in Indonesia which consists of 11 Islamic Banks.The selection of the sample in this study is purposive sampling according to the criteria set out which are Islamic Banks that published complete financial statements quarterly of the period 2011-2013. The analytical method used is multiple linear regression analysis to examine the relationship / influence of one variable to another variable. The results showed that ROA, ROE, BOPO, and the interest rate affect the level of profit sharing mudharabah deposits simultaneously. Partially, ROA and interest rate do not affect the level of profit sharing mudharabah deposits which is shown by significant value which is greater than 0. 05. While the ROE variable has significant negative influence and the BOPO has significant positive influence on the rate of profit sharing mudharabah deposits. Keywords:assets,equity,sharing

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.

scholarly journals Interest rate regulation, earnings transparency and capital structure: evidence from China

2019 ◽  
Vol 15 (5) ◽  
pp. 923-947 ◽  
Author(s):  
Xiaolong Li ◽  
Lin Tian ◽  
Liang Han ◽  
Helen (Huifen) Cai
Keyword(s):  
Economic Growth ◽  
Interest Rate ◽  
Capital Structure ◽  
Institutional Context ◽  
Disclosure Quality ◽  
Content Type ◽  
Information Transparency ◽  
Banking Market ◽  
Interest Rate Deregulation ◽  
The Relationship

Purpose The purpose of this paper is to use samples from Chinese-listed companies to investigate the effects of interest rate deregulation and earnings transparency on company’s capital structure in China over the period of 2003–2015. In particular, the authors study the link between state-owned enterprises (SOEs), economic growth targets and marketization in China’s unique institutional context. Design/methodology/approach Based on the methodology of quantitative analysis, the authors use baseline and cluster analysis for all samples with full set of controls, for robustness tests of alternative proxy of interest rate control by using a cluster analysis at the firm level, regarding endogeneity tests conducted fixed effect model with adding instrument variables (IV), two-period factors regression method via IV and system generalized method of moments for dynamic analysis. Findings The results show that earnings transparency increases firm leverage and the additional tests suggest that such an effect takes place via a mechanism by reducing the cost of debt finance. However, information transparency could moderate the effects of interest rate deregulation on corporate capital structure. In addition, it finds that SOEs are less sensitive toward the changes of interest rates in China because lending to SOEs is policy-oriented and lacks of market evaluation of business risk. Government control is conducive to enhancing the transparency of the whole industry; however, market-oriented reform is conducive to enhancing the transparency of the company’s own information. Research limitations/implications The paper makes contribution to the relationship between earnings disclosure quality and capital structure in the Chinese unique institutional context, such as taking the progressive interest rate reform, SOES, different economic growth target and different marketization level in each province of China. The authors suggest that investors will pay more attention to the company’s own unique information transparency in the provinces with a high degree of marketization. As a potential direction for future research, the authors will investigate how the earnings transparency has impact on capital structure, and how such impact would depend on the transparency of specific business, the cap of foreign shareholding and the convenience of investment. Practical implications This research would be the target of banking market reform in order to bring a fair financing environment for all businesses in China. It implies that current experiment of interest rate liberalization in China is not as efficient as it could be in allocating funds across all businesses. State banks, SOEs and local governments are still the biggest players on both the demand and supply sides of the Chinese credit markets. Social implications The social implication of this paper lies in the fact that first, it provides additional evidence on the effect of market-oriented reforms through how the information transparency interacts with the financial decisions making of corporations. Second, it offers policy implication to banking market deregulation in China. Originality/value The paper makes contribution to the relationship between earnings disclosure quality and capital structure in the Chinese unique institutional context. This research tests the existing literature, such as Francis et al. (2004) and Zhang and Lu (2007), and suggests that informationally transparent firms have a higher debt ratio and lower effective interest costs on bank loans. In addition, this paper further explores the role played by interest rate deregulation in corporate finance, and in turn market fund allocation. This paper sheds new light on information transparency and explores the relationship between earnings disclosure quality and debt financing behaviors of Chinese publicly listed companies over the period of 2003–2015.

scholarly journals THE ANALYSIS OF COMPANY'S CAPITAL AND EVALUATION OF FACTORS, WHICH INFLUENCE CREATION OF THE OPTIMAL CAPITAL STRUCTURE

2006 ◽  
Vol 7 (3) ◽  
pp. 147-153 ◽  
Author(s):  
Svetlana Saksonova
Keyword(s):  
Capital Structure ◽  
Process Analysis ◽  
Successful Operation ◽  
Internal Factors ◽  
Optimal Capital Structure ◽  
Optimal Capital ◽  
Main Factors ◽  
Two Stages ◽  
The Relationship ◽  
Over Time

In this article, the author will outline several stages of the process of determining optimal capital structure and will concentrate in particular on the first two stages of this process – analysis of company's borrowed capital and equity as well as the evaluation of the main factors, which influence capital structure. It is important to stress these preparatory stages, because successful operation of the company is built on properly understanding the relationship between risk and potential reward that is inherent in different alternatives of capital structure. These stages stress the importance of gathering reliable financial information about the company (enabling calculation of the ratios mentioned in the article) and performing risk analysis (relying in part on the external and internal factors described in the article) in order to decide on the optimal capital structure. The author cautions that rapid economics growth in Latvia will at least slow down over time. Managers need to take that into account, when planning capital structure and therefore avoid increasing their leverage to dangerous levels.

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