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Taxes represent a significant expense for many companies, prompting a strong incentive to minimize tax liabilities through strategies known as tax avoidance. This research explores the impact of tax avoidance and tax risk disclosure on the cost of debt among companies listed on the Iraqi Stock Exchange. This study analyzes data from 33 firms from 2016 to 2021, employing multivariate linear regression and the generalized least squares (GLS) model to test the hypotheses. The findings indicate that tax avoidance significantly and positively affects the cost of debt, suggesting that firms engaging in tax avoidance may experience greater borrowing costs. Additionally, tax risk disclosure is shown to directly and significantly influence the cost of debt. Importantly, this study reveals that tax risk disclosure negatively moderates the relationship between accrual tax avoidance and the cost of debt, indicating that higher tax risk disclosure can reduce uncertainties associated with tax avoidance, reducing borrowing costs. These results imply that tax avoidance and its influence on corporate debt levels can affect the overall risk profile of a country's financial system. Understanding this relationship is crucial for governance measures aimed at managing tax risks effectively. Given the limited research in this area, this study contributes to the literature by examining how tax risk and tax avoidance relate to the cost of debt in an emerging market context.

PurposeThis study examines the effect of lone founder and family ownership on borrowing cost. In addition, the study examines the moderating influence of gender diversity on this relationship.Design/methodology/approachThe study used a sample of non-financial firms listed on Pakistan Stock Exchange over the period 2012–2021. The authors used ordinary least squares regression analysis method to test the hypotheses along with generalized method of moments estimation technique to control for unobserved heterogeneity, simultaneity and dynamic endogeneity.FindingsThe authors report that borrowing cost is higher in lone founder ownership, whereas borrowing cost is lower in family firms due to lesser risks attached to such firms by lenders. Further, the presence of female directors on the board weakens this relation in the case of lone founder ownership, whereas their presence further reduces borrowing cost in family-owned firms. Additionally, using the framework of critical mass theory, the authors found that higher number of female directors on boards reduces borrowing cost. Overall, this study’s results provide empirical support for social identity and critical mass theories in the sample firms.Originality/valueThe study provides novel evidence of the influence of lone founder and family ownership on borrowing cost in an emerging economy, as well as the moderating effects of gender diversity on this relationship.

This study examines stock borrowing costs in Japan’s centralized lendable stock market, focusing on differences between ‘hard-to-borrow’ and ‘easy-to-borrow’ stocks over six months of daily data. This study employs a comprehensive methodology to examine metrics such as the short interest ratio, borrowing costs, institutional ownership, price-to-book value ratio, and new stock borrowing patterns. Regression models are utilized to explore the relationships between these factors and borrowing costs. The findings reveal that ‘hard-to-borrow’ stocks are associated with higher short interest ratios, borrowing costs, price-to-book ratios, and turnover but exhibit lower institutional ownership compared to ‘easy-to-borrow’ stocks. Notably, institutional ownership negatively correlates with borrowing costs across both categories, while the short interest ratio positively correlates with borrowing costs only for ‘hard-to-borrow’ stocks. Contrary to expectations, ‘hard-to-borrow’ stocks do not underperform despite elevated borrowing expenses, suggesting that these costs do not deter short selling activities in the Japanese market. The findings of this study offer key implications for investors and regulators. For investors, understanding the factors influencing borrowing costs aids in optimizing short-selling strategies. For regulators, the results highlight the role of centralized lendable stock markets in enhancing pricing efficiency without hindering trading activities.

Using the Eurosystem’s proprietary interbank loan data from June 2008–June 2020, we show that larger European banks have had a lower cost of overnight borrowing than smaller banks. The size premium remains significant after controlling for a large set of other factors but has decreased over time, especially in countries that were stricken by the Sovereign Debt Crisis. A difference-in-differences analysis suggests that the decline in the size premium is related to the actual bail-in events, not to the implementation dates of the Bank Recovery and Resolution Directive as such. This finding is robust to controlling for the effect of the ECB’s long-term refinancing operations. Overall, the results suggest that the regulatory move towards bail-in rather than bailout policies to deal with financially distressed banks has reduced the too-big-to-fail expectations concerning large banks.

This paper uses an event-based analysis to describe how the European Central Bank’s (ECB’s) policy responses to the pandemic crisis have affected the European financial and economic system. The result of our exercise, which is based on the examination of the main measures taken by the ECB during 2020, is that these responses have positively affected the European economic system by improving banks’ lending activity and by indirectly creating room for expansionary fiscal policies in the euro area’s high-debt countries that do not have fiscal capacity.

We consider the portfolio decision problem of a risky investor. The investor borrows at a rate higher than his lending rate and invests in a risky bond whose market price is correlated with the credit quality of the investor. By viewing the concave drift of the wealth process as a continuous function of the admissible control, we characterize the optimal strategy in terms of a relation between a critical borrowing threshold and solutions of a system of first-order conditions. We analyze the nonlinear dynamic programming equation and prove the singular growth of its coefficients. Using a truncation technique relying on the locally Lipschitz continuity of the optimal strategy, we remove the singularity and show the existence and uniqueness of a global regular solution. Our explicit characterization of the strategy has direct financial implications: it indicates that the investor purchases a high number of bond shares when his borrowing costs are low and the bond sufficiently safe, and reduces the size of his long position or even sells short when his financing costs are high or the bond very risky.

Since China’s enactment of the Reform and Opening-Up policy in 1978, China has become one of the world’s fastest growing economies, with an annual GDP growth rate exceeding 10 % between 1978 and 2008. But in 2015, Chinese GDP grew at 7 %, the lowest rate in 5 years. Many corporations complain that the borrowing cost of capital is too high. This paper constructs Chinese Divisia monetary aggregates M1 and M2, and, for the first time, constructs the broader Chinese monetary aggregates, M3 and M4. Those broader aggregates have never before been constructed for China, either as simple-sum or Divisia. The results shed light on the current Chinese monetary situation and the increased borrowing cost of money. GDP data are published only quarterly and with a substantial lag, while many monetary and financial decisions are made at a higher frequency. GDP nowcasting can evaluate the current month’s GDP growth rate, given the available economic data up to the point at which the nowcasting is conducted. Therefore, nowcasting GDP has become an increasingly important task for central banks. This paper nowcasts Chinese monthly GDP growth rate using a dynamic factor model, incorporating as indicators the Divisia monetary aggregate indexes, Divisia M1 and M2 along with additional information from a large panel of other relevant time series data. The results show that Divisia monetary aggregates contain more indicator information than the simple sum aggregates, and thereby help the factor model produce the best available nowcasting results. In addition, our results demonstrate that China’s economy experienced a regime switch or structure break in 2012, which a Chow test confirmed the regime switch. Before and after the regime switch, the factor models performed differently. We conclude that different nowcasting models should be used during the two regimes.

Purpose Using a unique sample of about 563,000 competitively bid municipal revenue bonds with financial advisors issued during the period 1998–2012, the purpose of this paper is to examine the role and influence of financial advisor quality in the municipal bond market. Design/methodology/approach The authors use a sample of about 563,000 competitively bid municipal revenue bonds with financial advisors issued during the period 1998–2012. The authors estimate a selection model where the authors identify the factors leading to the selection of a high-quality financial advisor. The authors then, using the inverse mills ratio from the first regression, estimate the association of high-quality advisor (and other factors) with the cost of borrowing. Findings The results suggest that high-quality financial advisors provide a credible signal to market participants about issue and issuer quality. This signal translates to a greater number of bids for issues that use high-quality financial advisors, resulting in improved liquidity and lower borrowing costs for these issues. The results also show that the beneficial effects obtained by using higher quality financial advisors are prevalent across all categories of issues such as for refunding and non-refunding issues, and for both insured and non-insured issues. The benefits are also generally observed for issues of most size categories. The results also suggest that the passage of the Dodd–Frank Act requiring mandatory registration of financial advisors and enhanced scrutiny has only increased the benefits to issuers from using higher quality financial advisors. Originality/value This paper differs from previous research in several important ways. First, the study is, to the authors’ knowledge, the first study that explores the relationship between financial advisor quality and liquidity in the municipal sector. The authors show using higher quality financial advisors enhances liquidity for the issues by attracting a significantly large number of bids. Second, the sample is exclusively comprised of competitively bid revenue issues all of which rely on financial advisors. This enables us to examine more unambiguously the influence of financial advisor quality, without the confounding effects of issues without financial advisors. Third, time coverage (1998–2012) and size of the sample (roughly 563,000 bond issues) enables us to conduct varied sub-sample analyses with greater power since the resulting sub-sample partitions themselves are of very large size. This provides better and additional insights into the role of financial advisor quality. The more current data when compared to prior research enables us to examine the impact of financial advisor quality inter-temporally with special attention devoted to the period after passage of the Dodd–Frank Act.

The New Keynesian Phillips curve (NKPC) driven by unit labor costs has been criticized for failing to match inflation dynamics and for failing to explain the duration of price contracts. This paper extends recent attempts in the literature to improve the fit of the NKPC, by introducing a fuller marginal cost proxy, unit total costs, that is derived from both labor and nonlabor unit costs; the latter include capital-related costs and production taxes. Borrowing costs are examined separately, as in the cost channel literature. Unit total costs are shown to improve the fit of the short-run variation in inflation and strengthen the empirical support for the role of expectations-based inflation persistence. They also imply a duration of fixed nominal contracts that is closer to those suggested by firm-level surveys. The cost channel becomes relatively less important when unit total costs, rather than unit labor costs, are used as a marginal cost proxy.

In this paper we examine the relevance of changes in sovereign credit rating for the borrowing cost of EU countries. Our results indicate that discretionary credit rating announcements are only of limited economic importance for the borrowing cost of these countries. It seems that rating agencies do not reveal important new information to financial markets, in addition to that already contained in the underlying fundamentals. Hence, given the sentiment in financial markets, the borrowing cost of a country can only be reduced by improving macroeconomic and fiscal fundamentals.