Journal of International Financial Management & Accounting最新文献

We analyze empirically the usefulness of combining accounting and auditing data in order to predict corporate financial distress. Concretely, we examine whether audit report information incrementally predicts distress over a traditional accounting model: the Altman's Z-Score model. Although the audit report seems to play a critical part in financial distress prediction because auditors should warn investors about any default risks, this is the first study that uses audit report disclosures for predicting purposes. From a dataset of 1,821 Spanish distressed private firms, we analyze a sample of distressed and non-distressed firms and develop logit prediction models. Our results show that while the only accounting model registers a classification accuracy of 77%, combined models of accounting and auditing data exhibit considerably higher accuracy (about 87%). Specifically, our findings indicate that the number of disclosures included in the audit report, as well as disclosures related to a firm's going concern status, firms’ assets, and firms’ recognition of revenues and expenses contribute the most to the prediction. Our empirical evidence has implications for financial distress practice. For managers, our study highlights the importance of audit report disclosures for anticipating a financial distress situation. For regulators and auditors, our study underscores the importance of recent changes in regulation worldwide intended to increase auditor's transparency through a more informative audit report.

In this article, we discuss the impact of financial debt on shareholder value using a new approach that aims: (a) to explain the effect that leverage from debt has on a stock’s systematic risk, or what we shall call here “the systematic cost of leverage,” and (b) to account for default risk in the cost of equity, or what we shall call here “the cost of default.” Our assessment of systematic risk is based on a stochastic approach that is materially different from the one proposed by Hamada: the risk premium remunerates the investor for the probability of equity (expressed as market value) generating a return below that of the risk-free rate. Furthermore, the approach we use to account for default risk is derived from reduced-form models, but in this case, (a) we use real probabilities of default and not risk-neutral probabilities, and (b) we extend the approach to stocks.

The 11th International Risk Management Conference was held at the University of Paris-Dauphine and the EM LYON Business School (Paris Campus) in June 2018. The conference theme “1968–2018: From Z-Score to Contemporary Risk Management, 50 Years of Risk Measurement and Management” was selected as a means to showcase the many ways that financial risk measurement has evolved and impacted financial risk management in banks and corporations as well as the tools used by asset managers and market regulators. The four papers included in this special issue of the Journal of International Financial Management and Accounting focus on a wide range of issues: How small differences in credit ratings effect the speed of adjustment in corporate leverage, the impact of using soft variables to assess default probabilities in European corporations, a new approach to measuring a company's intrinsic risk, and the effectiveness of short sale circuit breaker rules to limit stock price volatility. Our Foreword highlights the main findings of these papers and offers our assessment of the lessons they provide for financial managers and policymakers.

Standard and Poor's ratings can be modified by the addition of a plus (+) or minus (−) sign to show the relative standing within each major rating category. In this paper, we analyze the influence of these signs on the speed of leverage adjustment for listed European companies in the 2004–2014 period. Our results indicate that (a) when a qualification is accompanied by a minus sign, it adjusts more slowly than qualifications either with a plus sign or without a sign; (b) when a rating has a plus sign, the adjustment is slower than when it has no sign; and (c) when a qualification is BBB-, the speed of its leverage adjustment is close to zero. These results suggest that companies with signs in their ratings decrease their speed of adjustment to the target leverage ratio. In addition, such companies are especially concerned about a credit rating downgrade when it implies a possible loss of the degree of investment (BBB-).

In many decision contexts, there is a need for benchmark equity valuations, based on simplified modeling and publicly available information. Prior research on U.S. data however shows that the accuracy of such valuation models can be low and sensitive to the choice of model specifications and value driver predictions. In this paper, we test the applicability and pricing accuracy of three fundamental valuation (dividend discount, residual income, and abnormal earnings growth) models, all based on forecasts of company dividends, earnings, and/or equity book values. Extending prior research, we apply these models to Scandinavian firms with accounting data from the period 2005–2014, explicitly testing two approaches for the prediction of the value drivers—exogenously forecasted numbers versus projected historical numbers. Given access to the forecasted value drivers, the dividend discount model comes out as the most accurate valuation model. In particular, this holds in a comparison between the most parsimonious model specifications. The residual income valuation model generates the best pricing accuracy given the prediction of value drivers based on historical financial numbers. Notably, we observe pricing errors that in general are lower than what has been reported in prior U.S.-based research for the dividend discount and the residual income valuation models. The pricing accuracy of the abnormal earnings growth models is surprisingly weak in the Scandinavian setting. However, these models improve somewhat after a couple of complexity adjustments, in particular with value driver predictions based on the projected history setting.

Interest in this topic followed examination of new data discussing several antecedent proposals for establishing an international academic accounting association in the period 1966–1983, culminating in the 1984 formation of the International Association for Accounting Education and Research (IAAER). Relevant correspondence between several academics is now publicly available in the R.J. Chambers Archive at the University of Sydney. This enables justified statements to be made about the pre-1984 antecedents of the IAAER, thereby filling a vacuum in our understanding of the history of the organization. We initially discuss Ray Chambers’ and others’ desire for, and attempts to promote an international approach to accounting research and practice. Chambers unsuccessfully attempted to organize an international think-tank, beginning in the mid-1960s with something like the International Economic Association of that time. He persisted, through participation in the Accounting Researchers International Association, an elite accounting society. Eventually, those proposals were discarded as he and others like Adolf Enthoven and David Solomons proposed an international confederation of accounting educators and researchers in 1977 and 1978. Efforts of other leading accounting academics of that time, in particular Norlin Rueschhoff and Seigo Nakajima, are also shown to have influenced the eventual formation of the simplified 1984 IAAER body with, initially, its individual-based membership and objectives. Later, IAAER would become much more like the international confederation of accounting educators and researchers that Chambers had proposed in the 1997 Berlin International Conference on Accounting Education.

Directive 2014/56/EU and Regulation (EU) No. 537/2014, which came into effect in June 2016, introduced the mandatory rotation of audit firms after a maximum period of 10 years with the same client. We conduct a cross-European study with the aim of assessing whether long audit firm tenures are associated with lower levels of audit quality. The sample for the study is based on the constituents of the Standard & Poor's Europe 350 index for the years between 2009 and 2016, and we utilize three different sets of proxies for audit quality: discretionary accruals, differences between reported earnings and earnings benchmarks, and accounting restatements. The main result of the study finds that companies with more than 10 years of tenure with their auditors do not have a lower audit quality than other firms. In fact, this study provides some evidence of a higher audit quality for these firms. The results are robust to various checks. Therefore, if there does not seem to be a problem of a lack of audit quality associated with long audit firm tenures, the necessity of establishing a maximum tenure, as the new European regulation does, may be questioned.

New regulation in the European Union has introduced the mandatory disclosure of key audit matters (KAMs) to audit reports. The EU has identified KAMs as significant risks, significant transactions or events, or significant judgments by auditors. This paper aims to determine the factors that influence the number of KAMs that auditors disclose in the main European countries under the new regulation. We predict that the litigation risk, reputation loss, auditor–client relationship, precision of accounting standards, and the effect of regulators and supervisors’ activities affect the number of KAMs that auditors disclose. The sample consists of firms on the FTSE 100, CAC 40, or AEX 25 that have disclosed KAMs at the 2016 fiscal year-end. In line with our hypotheses, the findings show that a higher number of business segments (complexity) and more precise accounting standards lead to the disclosure of a higher number of KAMs. Contrary to our expectations, the results indicate that a positive association exists between the audit fee and the number of KAMs disclosed. As audit fees can be related to higher client risk, this finding could indicate that litigation risk dominates any auditor–client dependence. Further, although auditors often view their audits of banks as complex, the findings show a negative association between banks and the number of disclosed KAMs. This evidence may be related to the fact that financial institutions are in a highly regulated and supervised industry that reduces the need to disclose the KAMs.

This paper examines whether aggregate conditional and unconditional conservatism are associated with economic growth. Prior studies find that conditional conservatism improves contracting efficiency, but that unconditional conservatism has either a neutral or detrimental impact on contracting. We therefore conjecture that country-level conditional conservatism increases the efficiency of resource allocation in an economy, whereas country-level unconditional conservatism is not similarly beneficial. Using a cross-country sample, we construct country-level estimates of conditional and unconditional conservatism. We find that conditional conservatism is associated with higher level of growth in Gross Domestic Product and Gross Domestic Product per Capita. By contrast, unconditional conservatism shows no or negative association. Our study contributes to the ongoing debate on the desirability of accounting conservatism and also extends the literature on the macroeconomic effects of aggregate financial reporting attributes.

This paper examines whether the mandatory adoption of International Financial Reporting Standards (IFRS) in Brazil in 2010 has improved the value relevance of accounting information, information content of earnings, financial analyst forecasting activities, and liquidity. We examine the variables in the pre-IFRS mandatory adoption sample period, considered herein as 2008 to 2009, and the post-IFRS adoption period of 2011 to 2012. We provide evidence demonstrating improvement in value relevance of earnings and number of analysts following the firms in the period after IFRS adoption, but we do not find improvements in information content of earnings, accuracy in analyst forecasting, and liquidity in the post-adoption period. Our findings suggest a positive relationship between IFRS adoption and some areas of information quality in Brazil. By focusing on one important economy as it takes significant steps toward full convergence with IFRS, our study contributes to the growing literature concerning the impact of IFRS adoption around the world.