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Impact of Financial Statement Quality on the Cost of Debt of Listed Companies in Nigeria

Abstract

Financial statement quality is a critical component of corporate financial reporting because of its role in reducing information asymmetry, improving creditors' assessment of corporate risk, and influencing the terms and cost of external financing. Financial statement quality refers to the extent to which financial statements provide information that is relevant, faithfully represented, comparable, verifiable, timely, and understandable to users. High-quality financial statements enable lenders and other capital providers to accurately assess a company's profitability, liquidity, solvency, cash-generating capacity, and ability to meet financial obligations. The cost of debt represents the effective cost incurred by a company in obtaining debt financing and reflects lenders' assessment of the risk associated with extending credit to the firm. In Nigeria, listed companies operate in an economic environment characterized by inflationary pressures, exchange rate volatility, high interest rates, changing monetary policies, and increasing financing costs. These conditions have made access to affordable debt financing an important concern for corporate organizations. Listed companies therefore require credible and reliable financial statements to maintain lender confidence, improve creditworthiness, and potentially secure debt financing at favourable rates. Regulatory institutions such as the Financial Reporting Council of Nigeria (FRCN), the Securities and Exchange Commission (SEC), and the Nigerian Exchange Group (NGX) promote financial reporting quality through regulatory requirements, corporate governance frameworks, and compliance with International Financial Reporting Standards (IFRS). Despite these initiatives, concerns remain regarding earnings management, financial statement manipulation, delayed reporting, inadequate disclosures, and inconsistent compliance with accounting standards, which may increase perceived information and credit risk. Although previous studies have examined financial reporting quality and financing decisions, empirical evidence regarding the impact of financial statement quality on the cost of debt of listed companies in Nigeria remains limited and inconclusive. Against this background, this study investigates the impact of financial statement quality on the cost of debt of listed companies in Nigeria. The study is anchored on Information Asymmetry Theory, Signaling Theory, and Agency Theory. Information Asymmetry Theory suggests that high-quality financial statements reduce information gaps between corporate managers and lenders, thereby reducing uncertainty regarding a firm's financial condition and credit risk. Signaling Theory argues that credible financial statements provide positive signals regarding a company's financial strength, transparency, and ability to meet its debt obligations, potentially resulting in more favourable lending terms. Agency Theory explains that high-quality financial reporting improves monitoring of management, reduces agency conflicts, and strengthens accountability, thereby reducing lenders' perceived risk and potentially lowering the cost of debt. Collectively, these theoretical perspectives provide a comprehensive framework for explaining the relationship between financial statement quality and the cost of debt of listed companies in Nigeria. The study adopts a quantitative research design using a structured questionnaire administered to chief financial officers, finance managers, accountants, financial controllers, treasury managers, internal auditors, external auditors, credit analysts, investment analysts, relationship managers, and other professionals involved in corporate financial management and debt financing within selected listed companies in Nigeria. A stratified random sampling technique will be employed to ensure adequate representation of companies operating in the financial services, manufacturing, consumer goods, industrial goods, oil and gas, telecommunications, agriculture, healthcare, and other sectors listed on the Nigerian Exchange Group (NGX). Financial statement quality will be measured using relevance, faithful representation, comparability, consistency, timeliness, understandability, verifiability, completeness of disclosure, and compliance with IFRS, while cost of debt will be measured using effective interest rates, borrowing costs, loan pricing, interest expense relative to debt, lenders' required returns, and overall debt financing costs. Primary data collected from respondents will be analyzed using descriptive statistics to summarize respondents' demographic characteristics and perceptions regarding financial statement quality and cost of debt. Structural Equation Modeling (SEM) will be employed to examine the impact of financial statement quality on the cost of debt. The measurement model will be evaluated using Cronbach's Alpha, Composite Reliability (CR), Average Variance Extracted (AVE), and Confirmatory Factor Analysis (CFA) to establish the reliability and validity of the research instrument. Additional diagnostic tests, including multicollinearity assessment, common method bias analysis, and model fit indices such as the Comparative Fit Index (CFI), Tucker-Lewis Index (TLI), Root Mean Square Error of Approximation (RMSEA), and Standardized Root Mean Square Residual (SRMR), will be conducted to ensure the adequacy, consistency, reliability, and robustness of the structural model. The study anticipates that financial statement quality will have a significant negative impact on the cost of debt of listed companies in Nigeria. High-quality financial statements are expected to reduce information asymmetry, improve lenders' ability to assess credit risk, strengthen corporate credibility, and increase confidence in the company's capacity to meet its financial obligations. As a result, companies with high-quality financial reporting may obtain debt financing at lower interest rates and more favourable credit terms. Furthermore, improved financial statement quality is expected to enhance credit ratings, strengthen relationships with financial institutions, increase access to external financing, and reduce financing uncertainty. Conversely, poor-quality financial statements, earnings manipulation, inadequate disclosures, delayed reporting, and weak compliance with IFRS may increase information risk and lenders' perceived credit risk, resulting in higher interest rates, stricter lending conditions, and increased borrowing costs. Consequently, strengthening financial statement quality is expected to contribute significantly to reducing the cost of debt and improving the financing capacity and financial sustainability of listed companies in Nigeria. This study is expected to make significant theoretical and empirical contributions to the literature on financial reporting, corporate finance, accounting, and debt financing by providing comprehensive evidence on the relationship between financial statement quality and the cost of debt of listed companies in Nigeria. Unlike previous studies that broadly examined financial reporting quality or capital structure, this research specifically evaluates financial statement quality as a determinant of debt financing costs using primary data and Structural Equation Modeling (SEM). The findings will provide valuable insights for the Financial Reporting Council of Nigeria (FRCN), the Securities and Exchange Commission (SEC), the Nigerian Exchange Group (NGX), commercial banks, financial institutions, listed companies, investors, creditors, professional accounting bodies, policymakers, regulators, and academic researchers regarding the importance of high-quality financial statements in reducing credit risk and borrowing costs. The study will also provide evidence-based recommendations for improving financial reporting practices, strengthening compliance with IFRS, enhancing corporate governance, improving audit quality, increasing disclosure transparency, and reducing information risk to facilitate access to affordable debt financing among listed companies in Nigeria.

Keywords: Financial statement quality, cost of debt, listed companies, financial reporting quality, information asymmetry, credit risk, debt financing, International Financial Reporting Standards (IFRS), Structural Equation Modeling (SEM), Nigeria.