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Capital structure is vital to every company because it has a huge impact on the company’s financial decisions. The ultimate goal of the company is to effectively mix the debt-to-equity ratio (DER) to maximize the shareholder value. When the Covid-19 pandemic was officially announced in early March 2020, widespread negative effects started to affect almost all industries in Indonesia. The hotel, restaurant, and tourism industry is considered to be one of the most severely affected industry categories. It is important to pay attention to the role of this industry in Indonesia’s overall economy as it contributes to Indonesia’s gross domestic product at 6.1% in 2019. The objective of this study was to address the effects on the formation of capital structure of firm-specific characteristics among a sample of 26 active hotels, restaurants, and tourism companies listed on the Indonesia Stock Exchange. The authors used the data from the second and third quarters of 2019 to represent the period before the pandemic. Meanwhile, the period during the pandemic is represented by the data from the second and third quarters of 2020. Using the random-effects model to test the hypotheses, the authors found that asset tangibility, tax shield, and earnings volatility had significant positive correlations with book leverage. Furthermore, tax shield and earnings volatility had significantly positive relationships with DER. The authors also detected that size and earnings volatility had significant negative correlations with net equity. However, the authors found no significant relationship between capital structure and the pandemic dummy. It was inferred from the results that the pandemic had no effect on capital structure within the research period.

We examine the sample self-selection and the use of LIFO or FIFO inventory method. For this purpose, we apply the Heckman-Lee’s two-stage regression to the 1973–1981 data, a period of relatively high inflation, during which the incentive to adopt the LIFO inventory valuation method was most pronounced. The predicted coefficients based on the reduced-form probit (inventory choice model) and the tax functions are used to derive predicted tax savings in the structured probit. Specifically, the predicted tax savings are computed by comparing the actual LIFO (FIFO) taxes vs. predicted FIFO (LIFO) taxes. Thereafter, we estimate the dollar amount of tax savings under different regimes. The two-stage approach enables us to address not only the managerial choice of the inventory method but also the tax effect of this decision. Previous studies do not jointly consider the inventory choice decision and the tax effect of that decision. Hence, the approach we use is a contribution to the literature. Our results show that self-selection bias is present in our sample of LIFO and FIFO firms and correcting for the self-selection bias shows that the LIFO firms, on average, had $282 million of tax savings, which explains why a large number of firms adopted the LIFO inventory method during the seventies.

This study examines financing decisions by Vietnamese firms and compares the results with the findings observed in economies characterized by market mechanisms and property rights. It uses data from Vietnamese enterprises census 2002–2003. Similar to findings in other countries, financial leverage of Vietnamese firms increases with firm size and managerial ownership and decreases with profitability, and with non-debt tax shield. It is also correlated with industry characteristics. Financial leverage was negatively correlated with fixed assets and positively correlated with growth opportunities, contrary to the findings in other countries. Corporate income tax has a negative, albeit small effect on financial leverage.

This chapter investigates whether and to what extent tax benefits affect the likelihood of firms undertaking leveraged buyout (LBO) transactions.

With an identified sample of LBO firms and similar non-LBO counterparts, this chapter utilizes staggered changes in state corporate income tax rates as exogenous shocks and adopts a Logistic regression to analyze how these tax changes affect firms' probability of engaging in LBOs.

Firms are more likely to engage in LBOs after increases in corporate income tax rates. Specifically, the increase in the likelihood of firms undertaking LBOs following tax increases is between 6.9% and 12.9%. We also find that this positive relation is more pronounced for firms with higher levels of return on assets (ROA) and marginal tax rates (MTR). Finally, we report that the mean value of tax benefits accounts for between 28.5% and 170% of the premium paid to pre-buyout shareholders.

This chapter provides strong evidence that tax benefits constitute an important source of value creation in LBOs and adds to the debate regarding the role of tax benefits in LBOs.

This chapter uses panel data techniques to analyze the impact of corporate governance and competition on performance of the firms operating in Muslim and non-Muslim economies. Also analyzed the corporate data of 3,158 firms operating in five non-Muslim economies and 1,785 firms operating in five Muslim economies. It is observed from the results that most of the firm-level variables have similar behavior with firm performance irrespective of ownership structure. It is also found that direct majority-owned firms are more profitable as compared to independent firms irrespective of the operating region. Further, it is also observed that operating environment, specifically governance system, has significant impacts on firm performance.

Previous studies show that crude oil is negatively correlated with stocks but has almost the same rate of return as stocks, and so adding crude oil into a portfolio with equities can provide significant diversification benefits for the portfolio. Given the diversification benefit of crude oil mixed with equities, we examine the value effect of crude oil derivatives transactions by oil and gas producers. Differing from traditional corporate risk management literature, this study examines corporate derivatives transactions from the shareholders' diversification perspective. The results show that crude oil derivatives transactions by oil and gas producers do impact value. If oil and gas producing companies stop shorting crude oil derivatives contracts, company stock prices increase significantly. In contrast, if oil and gas producing companies initiate short positions in crude oil derivatives contracts, stock prices tend to drop (still significant, but less so). Thus, hedging by producers is not necessarily good. Transaction limitation is shown to be one of the possible sources of the value effect of corporate derivatives transactions.

Using a 10,709 firm-year sample covering the 1998–2007 period, we investigate the determinants of capital structure among 1,491 ASEAN-4 (Indonesia, Malaysia, the Philippines, and Thailand) emerging market firms. Building on the work of previous authors, we apply the two-step generalized method of moments (Arellano & Bond, 1991) to develop country-specific dynamic models of target leverage decisions. The right-hand variables incorporate a lagged leverage term that controls for the firms' target adjustment process and the following four explanatory variables: firm size, profitability, tangibility, and nondebt tax shields. The sign and significance of each coefficient provides evidence regarding whether the impact of the associated variable is consistent with the trade-off or pecking order theories. We find that size is negatively associated with leverage among Malaysian, Philippine, and Thai firms but positively associated among Indonesian firms. Profitability is negatively associated with leverage among Indonesian and Malaysian firms but positively associated among Philippine firms. Tangibility is negatively associated with leverage among Malaysian firms but positively associated among Philippine firms. While the impacts of size and profitability are consistent with pecking order theory, the impact of tangibility is not supportive of a specific theory. Of the four variables, size is consistently influential, while nondebt tax shields have no significant impact among firms in any country.

With repeal of the extraterritorial income exclusion expected in 2004, many U.S. companies selling abroad must rethink tax strategies related to export profit. Many firms with net operating loss (NOL) carryforwards, foreign tax credit (FTC) carryforwards, and interest-charge domestic international sales corporations (ICDs) can reduce marginal tax rates (MTRs) below rates otherwise applying to domestic sales. This article provides several case examples illustrating how U.S. exporters can minimize the MTR applicable to export profit. MTRs often depend on the period over which the company expects to absorb its NOL or FTC carryforward, the firm’s discount rate, and, in the case of ICDs, the prevailing T-bill rate. Assuming a 34% corporate tax rate, exporters with NOL (FTC) carryforwards can reduce the MTR on export profit to zero (17%) in some cases. Also, over the range of variables this article examines, the ICD reduces the MTR on export profit to between 34 and 21%. The cases illustrate how NOL and FTC carryforwards and ICDs affect exporters’ MTRs and provide educators with useful tools for discussing the tax aspects of exporting.

Despite their increasing importance in innovation, employment creation and economic growth, there is a dearth of theory-driven research on the financing and capital structure of new technology-based firms (NTBFs).¹ Hogan and Hutson (2005a) advance the High-Technology Pecking Order Hypothesis (HTPOH) to explain the role of equity in the financing of NTBFs in the software product sector. The HTPOH posits that NTBFs exhibit a hierarchical pattern of financing that gives precedence to internal sources, but if external financing is required, equity is preferred to debt. This study investigates the extent to which the genesis of the NTBF affects its financing patterns?

This study seeks to investigate whether firms’ capital structure decisions are congruent with the assumptions underpinning the traditional trade-off theory and the pecking order theory in Ghana. Using a sample of listed firms, the dynamic system generalized method of moments (GMM) technique is applied on a balanced panel data spanning 2008–2016. The findings reveal that the financing decisions of Ghanaian firms adhere to the pecking order theory, given the established relationship between leverage and profitability, firm age, as well as firm size. The study also shows that tax does not matter for corporate leverage, departing from the tax proposition of the traditional trade-off theory. However, the negative effect of growth opportunities and risk on debt corroborates the trade-off theory. Consequently, it is postulated that the trade-off theory and the pecking order theory are not discordant in predicting firms’ capital structure decisions in Ghana.