Financial clusters,industry groups,and stock return correlations

Industry classifications are used by investors, economists, and policy makers for a great variety of purposes. The traditional economic‐activity‐based systems (Global Industry Classification Standard, North American Industry Classification System, Standard Industrial Classification, and Fama–French) have been supplemented in recent years by alternative classification systems. Our purpose is to provide another alternative system that forms classification groups based on the structure of firm financial statements. Using cluster analysis, a multivariate tool that forms groups where their characteristics are similar within groups and distinct across groups, we form clusters of large U.S. firms based on their common‐size financial statements (percentage breakdowns of balance sheets and income statements). We characterize the financial clusters based on their industry classifications and other economic information and assess the ability of financial clusters and industry groups, separately and jointly, to explain stock return correlations of all pairs of firms. Our results demonstrate that using financial clusters and industry groups together proves advantageous relative to using either alone.     

Know your industry: the implications of using static GICS classifications in financial research

Researchers commonly use industry classifications as a means of identifying peer companies to use as a performance benchmark. We describe the structure of commonly used sources of industry classification data available for Australian listed companies, both static and in time series. Next, we run a series of experiments matching firms according to GICS classification data presented in time series versus static data sources. Our results indicate that performance measures are better specified when matching on GICS data from a dynamic relative to a static source. The results of our power tests also underscore the importance of using dynamic industry data.     

The role of underwriter peer networks in IPOs

This study examines how various aspects of underwriter peer network affect IPOs. We use different network measures to capture underwriter centrality in the global network, cohesion and diversity within network, and prior industry experience of network partners. Our results show that IPOs underwritten by book managers with more central and cohesive networks and partners with previous industry experience are associated with a higher likelihood of an offer price revision and larger price revisions. We also find book managers with more central networks and partners with previous industry experience are associated with higher short-run stock returns, while book managers that maintain more reciprocated peer relationships tend to underprice more. These results indicate that underwriters use peer networks to produce information and place securities, and network structure and characteristics have implications for the quantity and quality of information and the level of cooperative efforts shared among underwriters.     

Simulation of Controlled Financial Statements

Many accounting and finance studies investigate the time-series properties of historical accounting records from corporate financial statements. Some of them have recognized the potential benefits of using disaggregated monthly accounting records. Disaggregated data are beneficial because one can use more data points within a relatively short period of time, thus reducing the chance of structural change. The added data points and reduction of the number of variables needed to accommodate potential structural changes can enhance the statistical power of any subsequent analysis. The use of disaggregated data may also improve the predictive ability of time-series analytic approaches. In order to systematically assess various financial indicators and investigate the effects of different organizational characteristics, a large number of monthly statements with certain predetermined characteristics are desirable. However, such statements are not readily available. At best, monthly statements can be obtained from a few volunteer companies. Under this circumstance, simulation of controlled financial statements seems to be a reasonable solution. This research explores a methodology for simulating complete monthly financial statements based on actual company quarterly financial statements. The methodology incorporates the interrelationships among accounting numbers and the effects of exogenous variables. To test the empirical validity and whether the monthly results derived from the quarterly data can accurately track the real monthly figures, we compare the results simulated by the proposed method and those generated by a naive random walk model. We test both complete financial statements for three companies and sales statistics from the retail industry. The results of both tests demonstrate the superiority of the method proposed by this study over a naive random walk model. The proposed simulation method provides an opportunity for researchers to examine the time-series properties of financial statement elements by using the monthly data of a large number of companies. In addition, the simulation approach allows researchers to perform cross sectional comparisons on companies with different characteristics (e.g., sales behavior patterns and degrees of stability) in their financial and economic activities. Moreover, it enables the researchers to manipulate some of these characteristics to test various hypotheses.     

Bringing Ethical Investment to Account

As the ethical investment industry in Australia matures there is a need for greater scrutiny and understanding of the potential investor's personal beliefs, the investment products on offer and the processes by which the investment universe is determined. The recent introduction of regulation requiring additional information in product disclosure statements is a step in the right direction. However, further disclosure by funds and public exposure is necessary to create a transparent and accountable investment industry.     

Intellectual capital and the ‘capable firm’: narrating,visualising and numbering for managing knowledge

Intellectual capital statements are ‘new’ forms of reporting whose object is knowledge management activities. Based on 17 firms’ work to develop intellectual capital statements, this paper analyses them as managerial technologies making knowledge amenable to intervention. Aspects of actor-network-theory are mobilised to suggest that the intellectual capital statement is a centre of translation, which mobilises knowledge management via three interrelated elements: knowledge narratives, visualisations and numbers. Intellectual capital statements report on the mechanisms put in place to make knowledge manageable. Writing intellectual capital is a local story, which often concerns making knowledge collective and a process of allowing it to be oriented towards organisational ends. In such a story, knowledge is about a firm's capabilities and abilities to make a difference to a user. When writing an intellectual capital statement, firms locate employees, customers, processes and technologies and orient them towards a user. However, the statement as such is a means of ‘dis-locating’ knowledge resources making them amenable to intervention. There are certain broad types of intervention that allows a classification of strategies of intervention to be proposed. These terms are portfolio management, improvement activities and productivity. Such forms of intervention circumscribe the aspiration to transform knowledge from something internal to the person into something that is the effect of a collective arrangement. They allow—through intellectual capital statements—the dark, tacit knowing of individuals to come into the open space of calculation and action at a distance.     

How arbitrary are international accounting classifications? Lessons from centuries of classifying in many disciplines,and experiments with IFRS data

The process of classification is central to the daily task of doctors and librarians; and it is the foundation of study and research in chemistry and biology. Double-entry bookkeeping and the preparation of financial statements are classification activities of accounting practice. Classifying national accounting systems has long been an aspect of accounting research. This paper seeks to extract lessons for accounting researchers from anthropology, biology, chemistry, cosmology and medicine. In particular, we examine how the classifiers themselves and the characteristics that they choose can affect classification. We observe that objectivity is neither possible nor desirable in classification. Despite the arbitrariness, some classifications can be more reasonable or more useful than others. For previous accounting classifications, we analyze the classifiers, the scope, the characteristics used, the data and the classification techniques. We report various problems. We then empirically investigate the sensitivity of classifications to such issues as the characteristics chosen, and the countries and sectors included. For this, we hand pick data on the practices of large listed companies from 12 jurisdictions relating to 14 accounting topics under International Financial Reporting Standards. We show how different researchers could produce different classifications, particularly depending on which accounting topics are used to represent the countries.     

The argument against a reductionist approach for measuring sustainable development performance and the need for methodological pluralism

Both sustainability and sustainable development continue to remain elusive concepts even now, 20 years after the Brundtland Commission report that brought them into prominence. This situation most likely stems from the fact that sustainability science encompasses the need to address a wide set of issues over different time and spatial scales and thus inevitably accommodates opinions from diverse branches of knowledge and expertise. However, despite this multitude of perspectives, progress towards sustainability is usually assessed through the development and utilisation of single sustainability metrics such as monetary tools, composite sustainability indices and biophysical metrics including emergy, exergy and the ecological footprint. But is it really justifiable to assess the progress towards sustainability by using single metrics? This paper argues that such a choice seems increasingly unjustifiable not least due to these metrics’ methodological imperfections and limits. Additionally, our recent awareness of economies, societies and ecosystems as complex adaptive systems that cannot be fully captured through a single perspective further adds to the argument. Failure to describe these systems in a holistic manner through the synthesis of their different non-reducible and perfectly legitimate perspectives amounts to reductionism. An implication of the above is the fact that not a single sustainability metric at the moment can claim to comprehensively assess sustainability. In the light of these findings this paper proposes that the further elaboration and refinement of current metrics is unlikely to produce a framework for assessing the progress towards sustainability with a single metric. Adoption of a diverse set of metrics seems more likely to be the key for more robust sustainability assessments. This methodological pluralism coupled with stakeholder involvement seems to offer a better chance of improving the outcome of the decision making process.     

How to classify failures when collecting data for safety-instrumented systems in the oil and gas industry

The oil and gas industry places a high value on achieving high reliability and availability on safety critical equipment. To achieve this, assessments of the reliability performances of such equipment are required, both before and during the production phase. The fact that the reliability data available to support the assessments is often sparse or insufficiently detailed presents a challenge. These assessments also typically require insights into the system in which the equipment is used and information about failure detection. However, this ensemble information is often difficult to achieve in the way the data are collected today. As a response to this challenge, one suggested option is to collect reliability data using one acknowledged failure mode classification specifically designed to assess the reliability of safety-instrumented systems. This is a classification adopted from the International Electrotechnical Commission standard 61508. In this article, we discuss the pros and cons of adopting this failure mode classification in generic reliability data collection in the oil and gas industry. One argument discussed is that the data may lack relevant information about the associated safety system and thus be valid for a specific system only, not for generic equipment and systems in general. Hence, should the classification be implemented, the collected data should be used with care.     

Comparing self-regulation and statutory regulation: Evidence from the accounting profession

The accounting profession in the United States recently shifted from self-regulation by peer review to statutory regulation by the Public Company Accounting Oversight Board (PCAOB). Using this shift, I compare outcomes from self-regulation and statutory regulation for the same group of firms. I find that firms choosing their own reviewers, and firms choosing reviewers likely to be connected through prior relationships, tend to receive peer review opinions more favourable than their subsequent PCAOB reports, suggesting that some firms obtained ‘friendly’ reviews in the peer review era. On the other hand, reviewers with relevant industry knowledge are less likely to give such favourable reviews. Further, reviewers from the same geographic area are likely to give peer reviews that are more negative than the subsequent PCAOB reports. Additional analysis suggests that peer reviewers from similar industry or geographic areas bring greater firm-specific expertise to the reviewing process. In the PCAOB regime, I find that firms inspected later tend to receive PCAOB reports more favourable than their peer reviews, suggesting some trends over time in PCAOB reporting. Overall, the findings help in understanding the influences on each approach to regulation, and suggest a nuanced understanding of both approaches as having strengths as well as weaknesses.     

Earnings Co-movements and the Informativeness of Earnings

We examine the informativeness of earnings in the presence of earnings co-movements. Many theoretical studies infer that the more a firm's earnings move with the market the less weight investors need to place on those earnings, thus rendering them less informative. On the other hand, managers have less opportunity to bias the earnings signal the more earnings co-move, making them more reliable. We measure earnings co-movement using an industry–firm pairing correlational technique. Overall our results show both the degree of co-movement and the ordering of earnings announcements impacts on the informativeness of earnings as indicated by earnings response coefficients. Earnings responses are larger for firms that report earnings before their most highly correlated industry peer, but the responses are reduced as earnings co-movement increases. We interpret our results to indicate that the more earnings co-move with an industry peer the less informative earnings become, but only when the peer firm is able to obtain information at a later date.     

Has Adoption of IFRS Increased Non–North American Institutional Investment in the Canadian Stock Markets?

We investigate whether non–North American (non‐NA) institutional investment in firms listed on the Canadian stock markets increased between the pre‐ and post‐IFRS adoption periods relative to such investment in firms listed on the U.S. stock markets. Prior to IFRS adoption, Canada had high‐quality financial reporting standards that were similar to the U.S. standards. As consequences of IFRS adoption, Canadian financial statements became more comparable with European and other IFRS country financial statements and less comparable with neighboring U.S. financial statements. Thus, a question of interest is whether the enhanced comparability with non‐NA companies was beneficial in terms of attracting non‐NA investment to Canadian companies versus U.S. companies. We find that there was no significant change in non‐NA institutional investment in Canadian firms relative to U.S. firms for the very largest (fifth quintile) and for smaller (first, second, and third quintiles) Canadian companies. However, intermediate‐sized Canadian companies in the fourth size quintile lost non‐NA institutional investment relative to their U.S. peer companies, suggesting that non‐NA investors cared more about comparability with U.S. peer companies than non‐NA peer companies for companies in this size quintile.     

Using client performance measures to identify pre-engagement factors associated with qualified audit reports in Greece

The purpose of this paper is to test the extent to which client (corporate) performance measures can be used to enhance the ability to discriminate between the choice of a qualified or unqualified (clean) audit report. Audit firms face the risk of losing the client if they issue a qualification. On the other hand, failing to qualify exposes the auditor to potential lawsuits and loss of reputation. We examined the financial statements, auditors' opinions, and financial statements notes for companies in Greece that received a qualified audit report and for those that received an unqualified audit report. We modeled the auditor's qualification using a multicriteria decision aid classification method (UTADIS—UTilités Additives Discriminates) and compared it with other multivariate statistical techniques such as discriminant and logit analysis. The qualification decision is explained by financial ratios and by nonfinancial information such as the client litigation. The developed models are accurate in classifying the total sample correctly with rates of almost 80%.     

高管连锁、同业监督与公司违规

本文选取2011—2018年度A股上市公司为研究样本,以具有竞争关系的同业公司间的高管连锁作为同业监督的渠道,检验了同业监督对目标公司违规的影响。研究发现:(1)同业监督能有效抑制目标公司违规倾向,且这一影响当且仅当连锁公司是同业公司时存在;(2)同业竞争是同业监督的基础,在行业集中度低和行业增长率低的行业中,同业监督对目标公司违规的抑制作用更强;(3)目标公司的政治关联会瓦解同业监督对公司违规的抑制作用;(4)区分违规行为类型后发现,同业监督对经营违规的抑制作用最强,对信息披露违规次之,对领导人违规几乎没有效果。本研究丰富了公司违规监督机制的内容,也提供了辩证看待高管同业兼任的新视角。     

Is Polaris a HOG? A Case Study*

The main usefulness of a general purpose financial statement centers on its comparability to the financials produced by an entity's competition. This case works for both undergraduate and graduate students because it offers comparisons between two well known recreation industry companies. Financial statement analysis is a lesson which serves as an appropriate capstone to financial accounting education. Analyzing the financial statements of competing entities explains “why” accountants must implement the intricate “how” which produces the statements and the resulting decision models such as ratios and common‐sized statements. Compared to previous generations, current students will be more responsible for managing their own retirement funds. This case can help students start to appreciate investment analysis by providing enough detail for any level student to conduct financial statement evaluations that make comparisons to find successful fundamental business strategies.     

Bridging the Information Gap: Quarterly Conference Calls as a Medium for Voluntary Disclosure

This paper uses the quarterly conference call as a disclosure metric to examine whether firms with less informative financial statements are more likely to respond by providing additional voluntary disclosure. After controlling for other characteristics of a firm's information environment, I find a significant inverse relation between measures of the informativeness of a firm's financial statements and the likelihood that the firm will use a quarterly conference call. This finding is consistent with the hypothesis in Verrecchia (1990) that the probability of disclosure of management's private information is negatively related to the precision of prior public information on firm value.     

Peer effects in corporate advertisement expenditure: Evidence from China

This study investigates whether industry peers affect focal firms’ advertising expenditure decisions and further explores the mechanisms and economic consequences of such effects. We find that peer firms have a significantly positive influence on the focal firm’s advertising expenditure. The results hold after a series of robustness tests. Additionally, the peer effects in advertising expenditure are more salient in industries with intense competition; and when economic policy uncertainty and demand uncertainty is higher. Interestingly, our results show that followers mimic the advertising expenditure of industry leaders, while leaders also react to followers’ advertising expenditure. We also find that the peer effects in advertising expenditure improve firms’ sales and market value. Our study contributes to a better understanding of peer effects on corporate decisions.     

Are IPOs really overpriced?

Purnanandam and Swaminathan [Purnanandam, A., Swaminathan, B. 2004. Are IPOs really underpriced? Review of Financial Studies, 17, 811–848.] find that IPOs are overvalued at the offer price relative to value metrics based on industry peer price multiples. I discuss some possible problems in their valuation methodology and find that IPOs are not overvalued after steps are taken to address the problems. More importantly, when I examine the long-run performance of IPO firms and their industry peers, I find that IPOs do not underperform their industry peers in the 5 years after IPO. This casts doubt to the argument that IPOs are overvalued.     

The emerging growth company status on IPO: Auditor Effort,Valuation, and underpricing

The Securities Act of 1933 governs the going public process and the accompanying registration statement submissions to the Securities and Exchange Commission (SEC). The Jumpstart Our Business Start-ups (JOBS) Act of 2012 created several accommodations under the SEC securities laws for a new group of companies referred to as “emerging growth companies” (EGCs). We examine the associations between auditor effort, initial public offering (IPO) offer prices, and investors’ perceptions of the registrants’ intrinsic value (underpricing) and EGCs’ registration statements utilizing accommodations to reduce financial statement information disclosure. Our finding that auditor effort is reduced suggests that the potential for increased auditor risk for EGCs future financial statements could be higher because of issues related to financial statements not included in the registration statements. We also find a negative (positive) association between EGC filing and IPO offer prices (underpricing). Our results suggest potential unintended consequences associated with EGCs and that auditor effort might not be sufficient to reduce the possibility of future financial statement failures.     

Classification techniques for the identification of falsified financial statements: a comparative analysis

In this study, I develop 10 alternative classification models using logit analysis, discriminant analysis, support vector machines, artificial neural networks, probabilistic neural networks, nearest neighbours, UTADIS and MHDIS for the detection of falsified financial statements. The models are developed using financial and nonfinancial data. The sample includes 398 financial statements, half of which were assigned a qualified audit opinion. I compare these alternatives methods using out‐of‐time and out‐of‐sample tests. The results are used to derive conclusions on the performance of the methods and to investigate the potential of developing models that will assist auditors in identifying fraudulent financial statements. Copyright © 2009 John Wiley & Sons, Ltd.