Asokan Anandarajan

Evaluation of information technology investment

Traditional accounting methods used for evaluating new information technology (IT) projects such as Net present value (NPV) and Internal rate of return (IRR) have been criticized in the academic and practitioners’ literature as being grossly inadequate. This is because these methods do not quantify benefits that are considered to be intangible. Similarly, they do not incorporate many “hidden” costs associated with new IT projects. Thus, traditional methods have been stated to be only appropriate for simple “cost saving” projects and not for evaluating complicated IT investments. New methods suggested in the academic literature have been criticized as being too esoteric for practitioners. Presents the results of a case study and shows how many intangible benefits previously ignored can actually be quantified and incorporated in traditional NPV models by holding discussions with personnel of all departments affected by the new IT. Also demonstrates how many of the costs considered hidden (and thus ignored) ...

Bankruptcy prediction of financially stressed firms: an examination of the predictive accuracy of artificial neural networks

This is an extension of prior studies that have used artificial neural networks to predict bankruptcy. The incremental contribution of this study is threefold. First, we use only financially stressed firms in our control sample. This enables the models to more closely approximate the actual decision processes of auditors and other interested parties. Second, we develop a more parsimonious model using qualitative ‘bad news’ variables that prior research indicates measure financial distress. Past research has focused on the ‘usefulness’ of accounting numbers and therefore often ignored non-accounting variables that may contribute to the classification accuracy of the distress prediction models. In addition, rather than use multiple financial ratios, we include a single variable of financial distress using the Zmijewski distress score that incorporates ratios measuring profitability, liquidity, and solvency. Finally, we develop and test a genetic algorithm neural network model. We examine its predictive ability to that of a backpropagation neural network and a model using multiple discriminant analysis. The results indicate that the misclassification cost of the genetic algorithm-based neural network was the lowest among the models. Copyright

Use of Loan Loss Provisions for Capital, Earnings Management and Signalling By Australian Banks

This study examines whether and to what extent Australian banks use loan loss provisions (LLPs) for capital, earnings management and signalling. We examine if there were changes in the use of LLPs as a result of the implementation of banking regulations consistent with the Basel Accord of 1988, which made loan loss reserves no longer part of Tier I capital in the numerator of the capital adequacy ratio. We find some evidence to indicate that Australian banks use LLPs for capital management, but we find no evidence of a change in this behaviour after the implementation of the Basel Accord. Our results indicate that banks in Australia use LLPs to manage earnings. Furthermore, listed commercial banks engage more aggressively in earnings management using LLPs than unlisted commercial banks. We also find that earnings management behaviour is more pronounced in the post-Basel period. Overall, we find a significant understating of LLPs in the post-Basel period relative to the pre-Basel period. This indicates that reported earnings might not reflect the true economic reality underlying those numbers. Finally, Australian banks do not appear to use LLPs for signalling future intentions of higher earnings to investors.

Dimensions of pressures faced by auditors and its impact on auditors’ independence

Research has focused on factors causing pressure and impairing auditor independence. These include competition, opinion shopping, client and auditor size, and client financial health. No study has examined the characteristics of the pressures. Responses to case studies sent to auditors in the USA and Australia were analysed via factor analysis. The objective was, first, to increase understanding of the underlying dimensions of pressures faced by these auditors; and second, to examine any similarities between these two countries, similar in culture, but significantly different in such respects as the legal environment. The results indicate two dimensions: pressure to retain the client, and to conform. The first is a more pervasive but subtle pressure while, in the second, the auditor is asked to follow a certain course of action. Pressure to retain the client appears to be greater for auditors in both countries, relative to the pressure to conform. So the underlying dimensions of the pressures in these countries are similar.

THE ROLE OF LOAN LOSS PROVISIONS IN EARNINGS MANAGEMENT, CAPITAL MANAGEMENT, AND SIGNALING: THE SPANISH EXPERIENCE

Abstract While much research has been conducted in the United States on the use of loan loss provisions (LLPs) as a mechanism for managing earnings, managing capital, and as a tool for signaling future earnings strategies, there is a paucity of research in Europe. In this research, we replicate methodology used by Ahmed, Takeda and Thomas (1998) and examine the relative importance of key factors affecting the LLP decisions of Spanish depository institutions. Among others, we focus on the role of organizational structure. We specifically examine if and how LLPs are used prior to and after the implementation of capital adequacy regulations in the Spanish depository industry in 1992. Our results indicate that while LLPs were not used as a tool for managing capital after the new regulation came into effect, banks have now adopted a more aggressive earnings management strategy. This appears to be because the capital adequacy regulation of 1992 removed any capital constraint that hitherto acted as a disincentive to aggressive earnings management. Commercial banks appeared to adopt a more aggressive earnings management as well as capital management strategy than savings banks in the post regulatory era. Finally, we did not find evidence that LLPs were used as a signaling tool by Spanish banks to portray their intentions about future earnings.

The usefulness of off‐balance sheet variables as predictors of auditors’ going concern opinions: an empirical analysis

Accounting literature is replete with quantitative models that use financial ratios to identify the probability of a going concern qualification. These studies, however, ignore qualitative cues that auditors use to identify going concern problems and mitigating factors (sound financial plans etc.) that auditors take into account in their choice of report. Tests whether, in the presence of financial distress, non‐financial cues play an important role in auditors’ choice. Results indicate that non‐financial variables can be used to discriminate between the auditor’s decision to issue the going concern qualified versus the clean report. Helps company management understand how auditors evaluate their clients and the importance of the qualitative criteria used in their evaluation. Can be used to predict the most probable outcome prior to the external audit. Second, facilitates understanding of the non‐financial red flags that could trigger the going concern report. Third, can be used to analyze potential acquisition targets, and, if the acquisition target is still otherwise desirable, be used in pricing negotiations. Fourth, can be applied to aspects of the firm’s own division’s operations in order to enable the internal audit department to better allocate its own investigational and problem‐solving resources. Finally, the fact that qualitative factors have power in predicting the going concern modified report suggests that company decision makers can evaluate others even if the auditor for political or other reasons has chosen not to render a modified report.

Extranets: a tool for cost control in a value chain framework

The purpose of this research is to show through a case study how the extranet has been used by one specific company to significantly reduce operating costs. The activities of the company are analyzed within the framework of the value chain concept developed by Porter. This, it is felt, will provide a greater insight into how the extranet can be used to improve profit margins. Prior research in this area has either been of a conceptual nature (explaining theoretically how the extranet should be employed) or of a survey nature (examining, by means of a survey instrument, the benefits accruing to companies that have adopted the extranet). This study is different in that it examines in detail, by means of a case study, how the extranet influences a retail company’s chain of activities and reduces the attendant costs thereon.

The effect of corporate governance on firm’s credit ratings: further evidence using governance score in the United States

We investigate whether corporate governance affects firms’ credit ratings and whether improvement in corporate governance standards is associated with improvement in investment grade rating. We use the Gov‐score of Brown and Caylor (2006), the Gomper’s G index and an entrenchment score of Bebchuk et al. (2009) to proxy for corporate governance. Using a sample of US firms, we find that firms characterized by stronger corporate governance have a significantly higher credit rating, and that this association is accentuated for smaller firms relative to larger firms. We find that an improvement in corporate governance is associated with improvement in bond rating.

Signalling by banks using loan loss provisions: the case of the European Union

Purpose – The purpose of this paper is to investigate whether bank managers of countries within the European Union (EU) engage in signalling, especially after implementation of international financial reporting standards (IFRS) commencing 2005. Design/methodology/approach – “Signaling” is the use of loan loss provisions (LLPs) to convey signals of fiscal prudence and future profitability to investors. The authors use data from 18 countries across the EU covering the pre and post IFRS regimes and apply univariate and multivariate tests in order to test signaling behavior under both accounting regimes. Findings – The findings indicate insufficient evidence that financially healthy banks engage in signaling behavior. However, banks facing financial distress appear to engage in aggressive signaling relative to healthy banks. Finally, the propensity to engage in signaling behavior is more pronounced for financially distressed banks in the post IFRS regime. While IFRS, under IAS 39 sort to mitigate the discretionary component of LLPs, our finding may be attributable to lax enforcement of IFRS. Practical implications – The findings have implications for both investors and regulators. Investors should be aware that troubled banks engage in signaling to convey positive information about their future prospects. Regulators should be aware that financially stressed banks have a greater propensity to engage in signaling and need to ensure that the provisions of IFRS (which attempts to limit discretion in estimating LLPs) are enforced more stringently. Originality/value – The paper contributes to the growing literature on bank signaling in a number of ways. First, the authors use a sample from 18 countries within the EU which has not been done before. Second, unlike prior studies which only examined healthy banks, the authors also include financially distressed banks in the sample. Third, the authors examine signaling behavior in the pre and post IFRS regimes to understand the influence of IFRS on the propensity to engage in signaling by bank managers.

Novice and expert judgment in the presence of going concern uncertainty: The influence of heuristic biases and other relevant factors

Purpose – Prior literature provides clear evidence that the judgments of experts differ from those of non-experts. For example, Smith and Kida concluded that the extent of common biases that they investigated often are reduced when experts perform job related tasks as compared to students. The aim in this theoretical study is to examine whether “heuristic biases significantly moderate the understanding of experts versus novices in the going concern judgment?” Design/methodology/approach – The authors address the posited question by marshalling extant literature on expert and novice judgments and link these to concepts drawn from the cognitive sciences through the Brunswick Lens Model. Findings – The authors identify a number of heuristics that may bias the going concern decision, based on the work of Kahneman and Tversky among others. They conclude that experience mitigates the unintentional consequences played by heuristic biases. Practical implications – The conclusions have implications for the education and training of auditors, and for the expectation gap. They suggest that both awareness of factors that affect understanding of auditing reports and greater attention to training are important in reducing the expectation gap. Originality/value – This paper develops additional theoretical understanding of factors that may impact the expectation gap. While there has been limited prior discussion of the impact of cognitive factors on differences between experts and novices, the paper significantly expands the range of factors discussed. As such, it should provide a stimulus to new research in this important area.