US REITs capital structure determinants and financial economic crisis effects

2017 ◽  
Vol 35 (6) ◽  
pp. 556-574 ◽  
Author(s):  
Giacomo Morri ◽  
Edoardo Parri

Purpose The purpose of this paper is to identify the capital structure determinants through an analysis of 74 All-Equity REITs listed in the US market from 2005 to 2014. Furthermore, the paper aims at understanding the impact of the financial economic crisis (FEC) among the identified explanatory variables. Design/methodology/approach A fixed effect panel regression model is performed based on Trade-off Theory (TOT) and Pecking Order Theory as a starting point to provide expectations on the relationships incurring among the identified variables. Findings First, while tangibility of assets and crisis evidenced a positive relationship with REITs’ financial leverage, operating risk and growth opportunities variables displayed a negative relationship. Meanwhile, size and profitability did not appear to influence the capital structure. Second, it appears that the positive effects of tangibility of assets and profitability variables on US REITs’ capital structure increased as a consequence of the FEC. Operating risk and growth opportunities variables slightly increased their negative relationship with US REITs’ capital structure after the FEC. The TOT prevails when explaining the economic reality underlying US REITs. Practical implications The paper contributes to the understanding of US REITs’ financing decisions within the US market. The FEC also had a substantial indirect impact on the financial leverage determinants of US REITs, the latter being nowadays more oriented to maintaining a flexible capital structure. Originality/value The paper provides a comprehensive view of the medium-term effect of the FEC on US REITs’ capital structure.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yusuf Dinc ◽  
Rumeysa Bilgin

Purpose Firms prefer to have more than one bank relationship to secure the flow of funds for their operations, particularly in bank-based economies. On the other hand, banks lean toward expanding their customer base with firms already in the credit market. The purpose of this study is to investigate the effect of the number of bank relationships as a firm-specific determinant of capital structure and to discuss its impact on the banking sector. Design/methodology/approach A two-step system generalized method of the moments estimation method is used in this study. The sample comprises 213 Turkish non-financial, publicly listed firms with a positive shareholder’s value for the 2012–2017 period. Findings The findings show that the number of bank relationships increases the leverage of sample firms while the concentration in the banking sector decreases it. These rather intriguing findings are attributed to an under-the-counter credit policy that causes a high-risk shift and a curse of mainstream banks. Once the mainstream banks allocated credit to the firm, its credibility is consumed by the following banks, which is implied by the significantly negative relationship between bank concentration and firm leverage. This problem is defined as the mainstream bank curse in the study. Originality/value The previous literature focuses on the effects of the number of bank relationships on firm profitability, cost of debt and shareholder wealth. However, its impact on the capital structure has not yet been systematically investigated. To the authors’ knowledge, this is the first study to critically analyze the effect of the number of bank relationships on the capital structure. The findings will be of immense benefit to the banking sector and the regulatory bodies.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Teddy Chandra ◽  
Achmad Tavip Junaedi ◽  
Evelyn Wijaya ◽  
Martha Ng

PurposeThe purpose of this paper is (1) to determine the factors that significantly influence the capital structure, (2) to determine the factors that significantly influence profitability, (3) to find the factors that significantly influence growth opportunities, (4) to find reciprocal influence between capital structure and profitability and (5) to find reciprocal influence between capital structure and growth opportunity.Design/methodology/approachThe population of this research is a manufacturing company listed on the Indonesia Stock Exchange during the period of 2010–2016. The number registered in the manufacturing sector is 144 companies. The sampling technique applied is purposive sampling. The fulfillment criteria are companies that have been approved before 2010. Another criterion is that the company is not delisting during the observation period. From that total of population, companies that meet the requirements are 117 companies. This observation was conducted for seven years since 2010–2016, so the center of the analysis of this research was a total of 819. The inferential statistics method used to analyze the research data is generalized structural component analysis (GSCA).FindingsThe results of this study indicate that (1) the factors that influence the capital structure include effective tax rate, financial flexibility, growth, uniqueness, asset Utilization, firm size and tangibility; (2) factors that affect profitability include liquidity, growth, firm age, uniqueness, tangibility, volatility, advertising and asset turnover; (3) growth opportunity have a negative and significant influence on capital structure. This means an increase in growth opportunity can be defined as an increase in depreciation that will not be used as collateral for managers to increase debt. This increase in debt will have an impact on reducing growth opportunities; (4) profitability and capital structure have a two-way causality relationship, which means they influence each other and (5) capital structure and growth opportunities have a negative reciprocal relationship.Originality/valueThe authenticity of the study is implied in the following explanation: The authors try to examine the reciprocal effect of capital structure on profitability and capital structure on growth opportunities and the factors that influence these two endogenous variables that have never been done by previous researchers. This research is motivated by research conducted by (Chathoth and Olsen, 2007; Jian-Shen Chen et al., 2009; Yang et al., 2010) using the structural equation model (SEM). However, this study uses GSCA as a method of research analysis.


2019 ◽  
Vol 13 (1) ◽  
pp. 2-23 ◽  
Author(s):  
Anindita Chakrabarti ◽  
Ahindra Chakrabarti

Purpose The purpose of this paper is to determine the factors affecting the capital structure of companies engaged in the Indian energy sector. Design/methodology/approach Capital structure theories and empirical literature have been reviewed to formulate propositions concerning the factors/variables determining the capital structure of Indian energy companies. The examination is done using panel data techniques for the sample 141 companies operating in the Indian energy sector. Findings The results show firms’ age, asset turnover ratio, liquidity and firms’ size to be significant determinants of capital structure for the Indian energy companies, while profitability, debt service capacity, sales growth, non-debt tax shield and tangibility ratio to be insignificant determinants. Historically, profitability has shared a significantly negative relationship with debt ratio; however, the relation here is not significant. Research limitations/implications The focus of the current study is on Indian energy sector, the results obtained will not be applicable for other sectors. Originality/value The current research gives an insight into the determinants of capital structure of the companies engaged in the Indian energy sector, which are mostly overlooked due to the laws, policies and regulations governing the sector as a whole.


2020 ◽  
Vol 23 (2) ◽  
pp. 89-115
Author(s):  
Rana Yassir Hussain ◽  
Xuezhou Wen ◽  
Rehan Sohail Butt ◽  
Haroon Hussain ◽  
Sikandar Ali Qalati ◽  
...  

AbstractWe examine the relationship between growth opportunities and insolvency risk in a mediating framework through financing decisions for 330 listed firms on the Pakistan Stock Exchange (PSX) This study covers a data period of five years ranging from 2013 to 2017. Financing decisions used in this study involve capital structure decision and debt maturity decision. We applied robust clustered panel OLS regression to the data and found a negative relationship between growth opportunities and insolvency risk in all samples consisting of overall, large and small firms. Growth opportunities have a negative impact on the capital structure, but debt maturity was influenced positively. Financing decisions influenced the insolvency risk positively. We used Baron and Kenny’s (1986) approach to detect the intervening effects of financing decisions. Further, Sobel’s test used to check the significance of mediation. Partial mediation was found for the debt maturity ratio in the large and overall sample of firms. However, the capital structure did not mediate the relationship between growth opportunities and insolvency risk in this study.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bhavna Ranjan Ahuja ◽  
Rosy Kalra

PurposeThe purpose of the paper is to examine the impact of macroeconomic variables on the capital structure of manufacturing companies in the Indian context.Design/methodology/approachThe paper employs panel regression technique (random effects model) on a sample of 1,029 listed Indian manufacturing companies divided into two categories – large-size companies and mid-size companies for the last ten years from FY 2008–09 to FY 2017–18. Two separate models pertaining to long-term leverage (TTL_TNW ratio) and total leverage (TOL_TNW) have been examined.FindingsMajor findings show that macroeconomic variables play a relatively more important role in deciding the long-term debt component in the capital structure of the firms as compared to short-term loans. Similarly macroeconomic variables are found to be more significant in case of large-size companies as compared to mid-size companies. Also, there is a negative relationship between market capitalisation and leverage and bank credit and leverage, whereas money supply has a positive relationship with leverage.Research limitations/implicationsThe study makes an important contribution to the existing literature in understanding better how macroeconomic variables play an important role in determining the capital structure of firms. In the present dynamic economic environment, such a study lays down the macro areas on which the academicians, policymakers and financial managers can focus with respect to corporate financing decisions. The firm-specific factors have not been taken into account. Inclusion of these factors will make the results more robust.Originality/valueThe study focusses on the impact of macroeconomic variables on the capital structure decision of the Indian firms. Several studies in this area have been done in the context of the developed countries. However, there are not many studies in the Indian context that examine the relationship between financing decision and macroeconomic variables. The results that have been derived in case of developed economies may not be extended in the Indian context as there are considerable differences across countries related to corporate and legal environment, taxation system, corporate governance laws, interest rate environments, banking system, sources of funds and so on. Therefore, it becomes important to focus on countries individually.


Author(s):  
Nur Hajja Aini ◽  
St Habibah

The purpose of this research to analyze the influence of firm size, liquidity, growth opportunities, tangibility asset, and business risk to the capital structure of listed food and beverage manufacturing companies in Indonesia and Vietnam Stock Exchange from 2010 to 2016. The result shows that the fixed effects model should be appropriate for this study as compared to the random effect model. Capital structure significantly differences between the two countries. Firm size has a positive but insignificant influence on the capital structure in Indonesia, whereas it has a positive and a significant influence on the capital structure in Vietnam. Liquidity has a negative and significant influence on the capital structure both in Indonesia and Vietnam. Growth opportunities have a negative but insignificant influence on the capital structure both in Indonesia and Vietnam. Asset tangibility has a positive but insignificant influence on the capital structure in Indonesia, but it has the negative but insignificant influence on the capital structure in Vietnam. Ultimately, the business risk has a negative and significant influence on the capital structure in Indonesia but has a positive and insignificant influence on the capital structure in Vietnam.


2015 ◽  
Vol 7 (4) ◽  
pp. 360-378 ◽  
Author(s):  
Ranjitha Ajay ◽  
R Madhumathi

Purpose – The purpose of this paper is to empirically examine the impact of earnings management on capital structure across firm diversification strategies. Design/methodology/approach – The study focuses on firms operating in the manufacturing sector (diversified and focused). Panel data methodology compares diversification strategies and identifies the impact of diversification strategy with earnings management practices on capital structure decision. Findings – International and product diversified firms have lower levels of leverage than focused firms in their capital structure. Asset-based earnings management is positive for diversified (market/product) firms. Earnings management using discretionary expenditure (project based) is found to be higher for market diversified but product-focused firms. Earning smoothing method is found to be significant for focused firms and shows a negative relationship with capital structure. Originality/value – This study offers an insight into the relationship between corporate diversification, earnings management and capital structure decisions of manufacturing firms. The results provide an important contribution to accounting and strategy literature. A distinction is made between market- and product-diversified firms and influence of earnings management practices (asset-based, project-based and earnings smoothing (ESM)) on capital structure decisions. Diversified firms (market/product) tend to have lower levels of leverage than focused firms and earnings management practices within firm groups significantly influence the capital structure decisions.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ashish Pandey

Purpose This study aims to examine some of the commonly proposed deviants associated with the banking industry in the context of the capital structure puzzle. The paper considers the role of guarantees, information asymmetry and other frictional factors in the context of modern financial markets and examines whether these factors deserve special consideration in solving the capital structure puzzle for banks. Design/methodology/approach The authors adopt the argumentation theory model proposed by Toulmin (1958) as the methodological approach in this paper. Findings The findings from this paper demonstrate that any solution to the capital structure puzzle, whenever available, will also solve the capital structure puzzle for banks without additional efforts. The focus of future research should be on solving the generic capital structure puzzle for a universal set of firms rather than focusing on the banking industry as a subset with unique features. Originality/value The paper adopts a novel methodological approach offered by argumentation theory to pursue the enquiry. To the best of the knowledge, this paper is the first paper in the finance literature that uses argumentation theory to develop a theoretical construct. The finding from this study offers guidance for the proliferation of research paradigms in the capital structure puzzle.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
A. D'Amato

PurposeThe purpose of this paper is to analyze the relationship between intellectual capital and firm capital structure by exploring whether firm profitability and risk are drivers of this relationship.Design/methodology/approachBased on a comprehensive data set of Italian firms over the 2008–2017 period, this paper examines whether intellectual capital affects firm financial leverage. Moreover, it analyzes whether firm profitability and risk mediate the abovementioned relationship. Financial leverage is measured by the debt/equity ratio. Intellectual capital is measured via the value-added intellectual coefficient approach.FindingsThe findings show that firms with a high level of intellectual capital have lower financial leverage and are more profitable and riskier than firms with a low level of intellectual capital. Furthermore, this study finds that firm profitability and risk mediate the relationship between intellectual capital and financial leverage. Thus, the higher profitability and risk of intellectual capital-intensive firms help explain their lower financial leverage.Research limitations/implicationsThe findings have several implications. From a theoretical standpoint, the paper presents and tests a mediating model of the relationship between intellectual capital and financial leverage and its underlying processes. In terms of the more general managerial implications, the results provide managers with a clear interpretation of the relationship between intellectual capital and financial leverage and point to the need to strengthen the capital structure of intangible-intensive firms.Originality/valueThrough a mediation framework, this study provides empirical evidence on the relationship between intellectual capital and firm financial leverage by exploring the underlying mechanisms behind that relationship, which is a novel approach in the literature.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Moncef Guizani ◽  
Ahdi Noomen Ajmi

PurposeThe purpose of this paper is to investigate how Islamic banks (IBs) and conventional banks (CBs) in Malaysia choose their capital structure and what are the most significant factors that affect their decisions regarding their capital structure.Design/methodology/approachThis study applies the autoregressive distributed lag (ARDL) approach for a sample of 54 Banks listed on Malaysian stock market over the period 2010–2018.FindingsThe study findings show that the capital structure of IBs appears to be driven by similar factors to those previously found in the corporate finance literature. They also provide evidence of the existence of a long-run and short-run relationship between leverage and its main determinants for Islamic and CBs. However, the results show that various independent variables on the capital structure do exhibit different effects (in magnitude of the coefficient) among Islamic and CBs. Moreover, we find that IBs slowly adjust their capital structure toward the desired leverage ratio than CBs.Research limitations/implicationsThis research contributes to the theory in re-validating capital structure theories on IBs. It helps understand the capital structure of IBs in comparison with CBs. If in conventional finance, the standard presiding decisions of an economic agent is optimizing the risk-return ratio, this standard is not the only or the primary decision criterion in the Islamic finance context where spiritual and theological considerations are taken into consideration.Practical implicationsThis research can contribute to managers in understanding the choice of capital structure for IBs within the bound of Sharia requirement. Such an understanding provides managers with applied knowledge of determining their appropriate capital structure to compete locally and globally in which IBs operate.Originality/valueThis paper offers some insights on the determinants of capital structure by investigating Islamic and CBs. It explores the implication of relevant Islamic principles on capital structure. Moreover, it analyses the determinants of capital structure using ARDL method that permits to identify the short-run and long-run relationships between capital structure and its main determinants.


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