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According to the market timing theory, firms try to take advantage of windows of opportunity to raise capital by exploiting temporary cost fluctuations of alternative financing sources. In this context, the main objective of this paper is to examine the influence and persistence of market timing in the financing decisions of Brazilian firms that launched IPOs in the period from 2001 to 2011.

We analyze the influence of past market values on the capital structure of these firms, based on the main models proposed by Baker and Wurgler (2002), adapted to reflect the characteristics of Brazilian firms’ financial statements.

We find evidence of market timing, but this behavior is not sufficiently persistent in the period studied to the point of determining these firms’ capital structure. We believe the fact that Brazilian companies rarely carried out follow-on primary equity issues after floating their capital in the period analyzed, due to the presence of more advantageous financing sources (particularly from the national development bank, BNDES), explains the results. Therefore, Brazilian firms appear to be pay heed to different funding sources, in search of windows of opportunity, to guide their financing decisions and determine their capital structures.

The Brazilian capital market has been developing intensely in recent years, making it increasingly relevant to analyze the financing and investment decisions of the country’s listed companies. The Brazilian literature on capital structure is extensive, but few works have addressed the issue of market timing.

The purpose of the study is to examine the effect of corporate social responsibility (CSR) on debt financing (natural logarithm of debt and leverage ratios) of listed firms.

Using content analysis for data extraction, the study examines listed firms on the Bombay Stock Exchange (BSE) from 2010 to 2019 financial year. It uses a quantile regression and panel fixed effect regression as the model's application.

The study shows that CSR expenditure has a positive and strong correlation with debt financing (i.e. natural logarithm of long-term and short-term debts). The first findings show that CSR expenditure has a negative and statistically significant association with total leverage ratio, using conditional mean and median percentile. However, there is a positive and statistically significant association between CSR expenditure and long-term leverage ratio at the 25th and 50th percentile. The second findings show that CSR expenditure has a positive and statistically significant association with long-term debt but an insignificant association with short-term debt and total debt under a conditional mean average. The application of quantile regression addresses the values that fall outside the confidence interval and therefore document a positive and statistically significant association between CSR expenditure and debt financing (short-term debt, long-term debt and total debt) at the 25th, 50th and 75th percentile.

The introduction of quantile regression gives a novelty in CSR and debt financing study, which to the best of the authors’ knowledge, has not received any attention. Similarly, firms have better information on how to position their CSR expenditure to attract providers of debt financing.

In view of the significant changes in the capital structure of China’s real estate industry and enterprises in recent years, this chapter employs financial indicators and the linear regression function to analyze the relationship between corporate debt ratio and the performance of 111 A-share listed real estate enterprises in China. This study finds that the corporate debt ratio of China’s real estate enterprises in the past decade has a significant negative impact on enterprises’ performance. The study also finds that among China’s real estate companies, the corporate debt ratio has a more significant negative impact on the performance of non-state-owned enterprises than state-owned enterprises. In addition, a high debt ratio has a more significant negative impact on return on equity (ROE) than on return on assets (ROA). However, when Tobin’s Q serves as a proxy for firm performance, the negative impact of the corporate debt ratio becomes insignificant in the presence of the firm size factor. The research results of this chapter can provide some reference for subsequent policy-making and investment decisions in the Chinese real estate market.

The purpose of this paper is to examine the many factors that affect the leverage decisions of publicly traded Australian companies, and tests to see whether these factors are reliably important. The relationship between these factors and the leverage decision is examined.

This study uses a multiple linear panel regressions to study the relationship between the factors and leverage.

The authors find a set of eight factors which are reliably important for capital structure decision making. These factors include: profitability, log of assets, median industry leverage, industry growth, market to book ratio, tangibility, capital expenditure, and investment tax credits. The empirical evidence indicates weakening support for the pecking order hypothesis and increasing support for the trade-off theory in Australia.

This paper examines the determinants of capital structure using Australian firms and provides a comprehensive empirical support for the capital structure theories.

Building upon the framework of the tradeoff model of capital structure and motivated by the equity market timing theory, we examine whether equity misvaluation is a source of adjustment “costs” that will affect a firm’s leverage adjustment speed toward target. We also investigate whether the quality of a firm’s long-term growth options will influence the decisions of managers to exploit the mispriced equity to converge to the optimum. Using a sample of listed Taiwanese firms during 1992–2014 and employing the market-to-book decomposition as developed by Rhodes-Kropf, Robinson, and Viswanathan (2005), we find that overleveraged and overvalued firms demonstrate faster adjustment speed than overleveraged but undervalued firms. Furthermore, controlling for the misvaluation status, high-growth firms converge to target faster than their low-growth counterparts. The effect of growth options on the relation between equity mispricing and adjustment speed does not mirror the effect of financing deficits. With the detailed financial information of the local companies across a rather long time series, this study provides incremental inputs to the literature of capital structure from the determinants of target leverage, the estimation of leverage adjustment speeds, to the identification of the sources of adjustment costs in an emerging market where institutional environment is strikingly different from the US.

The paper investigates whether stock liquidity of firms is valued by lending banks revealing that firms with higher liquidity in the capital market pay lower spreads for the loans they obtain. This relationship is causal as evidenced by using the decimalization of tick size as an exogenous shock-to-stock liquidity in a difference-in-differences setting. Reduction in financial constraint and improvement in corporate governance induced by higher stock liquidity are potential mechanisms through which liquidity impacts loan spreads. These higher liquidity firms also receive less stringent nonprice loan terms, for example, longer loan maturity and less required collateral.

The persistent increase in household indebtedness is an alarming issue that is becoming a major concern for economists and governments in developing nations. Although household consumption is an essential source of economic growth, households’ failure to meet their financial obligations will be one of the causes of economic problems if the increase in consumption is largely financed by household borrowing. Therefore, this study aims to analyse the nexus between households’ indebtedness and consumption and the roles of household characteristics.

This study uses a microdata set of the Household Expenditure and Income Survey in 2019, which contained a simple random sampling of 4,730 households.

Using a simultaneous equations model, our results show a negative nexus between households’ consumption and their indebtedness. We find that household savings and size have an indirect impact on the debt service ratio, while the assets and total debt repayment instalments indirectly influence household consumption. We also identify differences in the relationship between the gender of the household head, rural and urban locations and income groups in consumption and indebtedness.

The implication of this study is that governments should adopt several programmes to increase the awareness of household financial and debt management, especially for those in the low-income group.

This study contributes to the empirical literature by establishing a microeconomic perspective of consumption and an indebtedness model focusing on the differences in household characteristics in explaining consumption and indebtedness.

The main objective of this study is to examine whether firms follow the financing hierarchy as suggested by the Pecking Order Theory (POT). The External Funds Needed (EFN) model offers a financing hierarchy that can be used for examining the POT. As far as the EFN considers growth of sales as a driver for changing capital structure, it follows that shall firms plan for a sustainable growth of sales, a sustainable financing can be reached and maintained. This study uses data about the firms listed in two indexes: Dow Jones Industrial Average (DJIA30) and NASDAQ100. The data cover quarterly periods from June 30, 1999, to March 31, 2012. The methodology includes (a) cointegration analysis in order to test for model specification and (b) causality analysis in order to show the generic and mutual associations between the components of EFN. The results conclude that (a) in the majority of the cases, firms plan for an increase in growth sales but not necessarily to approach sustainable rate; (b) in cases of observed and sustainable growth of sales, firms reduce debt financing persistently; (c) firms use equity financing to finance sustainable growth of sales in the long run only, while in the short run, firms use internal financing, that is, retained earnings as a flexible source of financing; and (d) the EFN model is quite useful for examining the hierarchy of financing. This study contributes to the related literature in terms of utilizing the properties of the EFN model in order to examine the practical aspects of the POT. These practical considerations are extended to examine the use of the POT in cases of observed and sustainable growth rates. The findings contribute to the current literature that there is a need to offer an adjustment to the financing order suggested by the POT. Equity financing is the first source of financing current and sustainable growth of sales, followed by retained earnings, and debt financing is the last resort.

This paper investigates the capital structure of a large sample of U.S. private firms from 2004 to 2013. There is a considerable heterogeneity in private firm capital structure not only in terms of the level of leverage but also with regard to the issuance of specific debt instruments. Leverage, debt type usage, and debt specialization are dynamic and strongly related to observable firm characteristics largely in support of contract theory. Unobservable firm and industry characteristics are strong determinants of leverage levels and debt specialization. Macro credit conditions are not related to private firm leverage but are strong determinants of the degree to which firms diversify their debt capital structures.

Despite the enormous size of the nonprofit sector, there has been very little empirical research done on the capital structure of nonprofit organizations, and no one has examined the potential effects of borrowing on individual contributions. Using a representative sample of nonprofits, the empirical analysis first determines whether secured or unsecured borrowing by nonprofits influence future contributions. The results for the full sample support a “crowding-out” effect. When the analysis is repeated on a subsample of nonprofits that are older, larger, and more dependent upon donations, the results are more ambiguous: secured debt has little or no effect, while unsecured debt has a “crowd-in” effect. The empirical analysis is then expanded to test whether nonprofits with higher than average debt levels have different results than nonprofits with below average debt levels. The results suggest that donors do remove future donations when a nonprofit is more highly leveraged compared to similar organizations.