Mind the gap: CEO–employee pay ratios and shareholder say‐on‐pay votes

We examine the Securities and Exchange Commission's assertion in the pay ratio disclosure rule that the ratio of Chief Executive Officer to employee pay is useful to shareholders for say‐on‐pay (SOP) voting decisions. Using an estimated pay ratio for a broad panel of commercial banks from 2010 to 2017, we find that voting dissent on SOP proposals is significantly higher in the top pay ratio decile, particularly when institutional ownership is high. Results are robust to controlling for a number of other determinants of voting dissent, including proxy advisor recommendations and executive compensation. Additionally, inferences using the first year of disclosed pay ratios in 2017 for S&P 1500 firms are consistent. However, we do not find similar results in the other deciles of the pay ratio in either sample, calling into question whether a cost‐benefit analysis would support the disclosure requirement imposed by Dodd‐Frank and implemented by the SEC.     

Identifying lobbying strategies: An analysis of public responses to the Productivity Commission Inquiry into executive remuneration in Australia

This study investigates lobbying behaviour over the two phases of the 2009 Productivity Commission Inquiry into executive remuneration within Australia. Consistent with expectations, behaviours appeared related to preference for change, the costs of regulatory change relative to those of lobbying, and the need for reputational capital. Industry participants, and those from the Representative and Professional bodies emerge as key opponents. Industry presented in a conciliatory manner during the first phase, revealing a preference for the status quo, but then directly targeted specific recommendations of concern, notably the ‘two strike’ and ‘no vacancy’ rules in the second phase. Respondents from the Representative and Professional Bodies were broadly and consistently supportive of change and the Inquiry’s final recommendations. We also find that these recommendations largely align with the views of the Representative Bodies, but conflict with those expressed by Industry in their second phase submissions. Finally, we find no evidence to suggest the motivation behind Industry lobbying related to poor remuneration practices.     

An investigation of the short‐ and long‐run relations between executive cash bonus payments and firm financial performance: a pitch

This letter is a discussion of the application of the pitch template developed by Faff (2015) to a financial accounting research topic. The pitch template focuses ideas into key areas, giving clear and concise direction in planning and structuring the research idea. In this instance, the template is used in a nonlinear manner to develop a research proposal to investigate the relation between cash bonus payments and firm financial performance.     

A possible explanation of the gender gap among accounting academics: evidence from the choice of research field

Despite the significant increase in the number of women in accounting research over past decades, the percentage of female full professors in accounting is still low. One of the problems may relate to the research area(s) they choose to specialize in. Is the relatively slow promotion of women due to their decision to concentrate in ‘nonmainstream’ fields of research? In this study, we collect data on 1,042 male and female accounting academics. Using the research interests declared on each academic web page, we find that accounting researchers show no significant gender differences in their choice of research fields. Hence, we conclude that the underpromotion of women cannot be attributed to their choice of ‘nonmainstream’ fields.     

Finding diamonds in the rough: Analysts’ selective following of loss‐reporting firms

Investors face greater difficulty valuing loss‐reporting than profit‐reporting firms: losses may be due to very different reasons (e.g., poor operating performance or investments in intangibles, and financial accounting information is of more limited use for valuing loss‐making firms than profit‐making firms. Because of increased uncertainty about loss firms’ future financial and business viability, we hypothesize that financial analysts will be more selective when choosing to follow loss firms than profit firms, with the result that “abnormal” analyst following will be more informative to investors regarding the future performance of loss firms than profit firms. Consistent with this prediction, we find that abnormal analyst coverage is useful for predicting firms’ future prospects, and is more strongly associated with future performance (stock returns and ROA) for loss firms than for profit firms. The market, however, does not seem to use this useful information when pricing loss firms: for loss firms a portfolio investment strategy based upon abnormal analyst following can generate positive excess returns over 1‐ to 3‐year holding periods. These results are stronger for persistent‐loss firms than for occasional‐loss firms. We conclude that abnormal analyst following contains useful information about firms’ future prospects, and even more so for loss firms than for profit firms.     

Relating Context Variables to Participative Budgeting and Evaluative Use of Performance Measures: A Meta‐analysis

Extant findings regarding how context variables relate to participative budgeting and the evaluative use of accounting performance measures (APM) are contradictory. Unlike previous reviews of such findings, this empirical article uses a meta‐analysis to examine the relations of context variables with participative budgeting or evaluative use of APM to determine (i) how the variables relate and (ii) which factors might cause between‐correlation variance, such as statistical artefacts or moderating influences of variable measures, sample selection, or industry differences. All meta‐analyses are based on rather small samples. Three groups of context variables emerge. First, some relate significantly and homogeneously to participative budgeting or evaluative use of APM; these direct relations should be considered explicitly in further studies. Second, for some variables, the relations are homogeneous but not significant, such that they are neither simple nor direct. Third, substantial variance exists in the correlations for some context variables; these relations are contingent on other influences. Industry differences and sample selection explain some inconsistencies in exploratory moderator analyses and should receive additional research attention.     

Earnings Quality under Rules‐ versus Principles‐based Accounting Standards: A Test of the Skinner Hypothesis / LA QUALITÉ DES RÉSULTATS SELON QUE LES NORMES COMPTABLES SONT AXÉES SUR LES RÈGLES OU SUR LES PRINCIPES: VÉRIFICATION DE L'HYPOTHÈSE DE SKINNER*

We provide preliminary evidence, consistent with Skinner (1995), that Canada's relatively principles‐based GAAP yield higher accrual quality than the United States' relatively rules‐based GAAP. These results stem from a comparison of the Dechow‐Dichev (2002) measure of accrual quality for cross‐listed Canadian firms reporting under both Canadian and U.S. GAAP. However, we document lower accrual quality for Canadian firms reporting under U.S. GAAP than for U.S. firms, which are subject to stronger U.S. oversight, reporting under U.S. GAAP. The latter results suggest that stronger U.S. oversight compensates for inferior accrual quality associated with rules‐based GAAP. Consistent with the positive effect of Canada's principles‐based GAAP and the offsetting negative effect of Canada's weaker oversight, we find no overall difference in accrual quality between Canadian firms reporting under Canadian GAAP and U.S. firms reporting under U.S. GAAP. Our results imply that (1) policymakers who wish to compare the effectiveness of oversight across jurisdictions must control for the GAAP effect; and (2) accounting standard‐setters who wish to compare the effectiveness of principles‐ versus rules‐based GAAP must control for oversight strength.     

Analysing the market–book value relation in large Australian and US firms: implications for fundamental analysis and the market–book ratio

This study compares the market–book relation of Australian and US firms using firm‐level dynamic analysis of using annual data for a long‐run period in error correction modelling. This paper contributes to a recent call for alternative ways of estimating Ohlson‐type linear valuation models (Ohlson and Kim, 2015). Log transformations of the data are used in this study to improve the statistical properties of the models. This study contributes to the findings on linear valuation model estimation for long‐run firms. Based on the returns model estimation, we find evidence of a higher level of co‐integration between market and book values for Australian firms.     

Non‐additivity in Accounting Valuation: Theory and Applications

This paper has three objectives. First, to introduce a theoretical solution to the issue of non‐additivity between assets in place, relying on an accounting‐based valuation approach. Second, to explain how such an approach can be implemented empirically by measuring synergies between assets. Third, to present the properties of this non‐additive valuation technique. We use Choquet capacities, that is, non‐additive aggregation operators, to measure the interactions between assets and apply our methodology to a sample of US firms from the capital goods industry. To operationalize our approach we examine the relationships between synergies—captured by Choquet capacities—and the market‐to‐book ratio (proxying for growth options), and show how interactions between assets are consistently linked to a firm’s market‐to‐book ratio. We also measure firm‐specific productive efficiency relative to the industry and firm size. For large firms, efficiency, as defined by our approach, is positively associated with higher future operating cash flows. For small firms, efficiency is positively associated with higher future sales growth. We document that the non‐additive approach appears to be better able to identify expected relationships between efficiency and future performance than a simpler approach based on the market‐to‐book ratio.     

Time‐Varying Risk–Return Trade‐off in the Stock Market

We uncover a strong comovement of the stock market risk–return trade‐off with the consumption–wealth ratio (CAY). The finding reflects time‐varying investment opportunities rather than countercyclical aggregate relative risk aversion. Specifically, the partial risk–return trade‐off is positive and constant when we control for CAY as a proxy for investment opportunities. Moreover, conditional market variance scaled by CAY is negatively priced in the cross‐section of stock returns. Our results are consistent with a limited stock market participation model, in which shareholders require an illiquidity premium that increases with CAY, in addition to the risk premium that is proportional to conditional market variance.     

Monetary Policy Estimation in Real Time: Forward‐Looking Taylor Rules without Forward‐Looking Data

I propose a methodology for estimating forward‐looking Taylor rules in real time when forward‐looking real‐time central bank data are unavailable. The methodology consists of choosing appropriate models to closely replicate U.S. Greenbook forecasts and then applying these models to Canada, Germany, and the U.K. The results show that German and U.S. Taylor rules are characterized by inflation coefficients increasing with the forecast horizon and a positive output gap response. The U.K. and Canada interest rate reaction functions achieve maximum inflation response at middle‐term horizons of about 1/2 years and the output gap coefficient is insignificant.     

An evolutionary multi‐objective optimization of trading rules in call markets

We evaluate an agent‐based model featuring near‐zero‐intelligence traders operating in a call market with a wide range of trading rules governing the determination of prices and which orders are executed, as well as a range of parameters regarding market intervention by market makers and the presence of informed traders. We optimize these trading rules using a multi‐objective population‐based incremental learning algorithm seeking to maximize the trading volume and minimize the bid–ask spread. Our results suggest that markets should choose a small tick size if concerns about the bid–ask spread are dominating and a large tick size if maximizing trading volume is the main aim. We also find that unless concerns about trading volume dominate, time priority is the optimal priority rule. Copyright © 2011 John Wiley & Sons, Ltd.     

An analysis of majority owner‐managed companies in the UK

This paper investigates the characteristics of 73 UK companies in which managers have an ownership stake of greater than 50 per cent. We find that majority owner‐managed companies make less use of alternative corporate control systems and are less likely to remove their chief executive officer or other board members following poor performance. However, our sample firms actually outperform diffusely held companies of similar size in the same industry. The determinants of majority control appear more closely related to the characteristics of the controlling shareholders rather than the firm's operating environment. Changes in the ownership structure of our sample companies owe more to changes in owner‐specific characteristics and security issuance than they are related to changes in the company's operating environment or company performance. We conclude that despite the obvious agency costs of managerial entrenchment for closely held companies, for the present sample at least the incentive alignment benefits of large director shareholdings are beneficial to outside shareholders.     

Exploring the predictability of range‐based volatility estimators using recurrent neural networks

We investigate the predictability of several range‐based stock volatility estimates and compare them with the standard close‐to‐close estimate, which is most commonly acknowledged as the volatility. The patterns of volatility changes are analysed using long short‐term memory recurrent neural networks, which are a state‐of‐the‐art method of sequence learning. We implement the analysis on all current constituents of the Dow Jones Industrial Average index and report averaged evaluation results. We find that the direction of changes in the values of range‐based estimates are more predictable than that of the estimate from daily closing values only.     

“Too‐Small‐To‐Survive” versus “Too‐Big‐To‐Fail” banks: The two sides of the same coin

In the recent crisis, the U.S. authorities bailed out numerous banks through TARP, whilst let many others to fail as going concern entities. Even though both interventions fully protect depositors, a bail out represents an implied subsidy to shareholders, which is not yet the case with closures where creditors are not subsidised. We investigate this non‐uniform policy, demonstrating that size and not performance is the decision variable that endogenously determines one threshold below which banks are treated as TSTS by regulators and another one above which are considered to be TBTF. We, hence, provide a pair of economic rather than regulatory cut‐offs for TBTF and TSTS banks. The shareholders and the other uninsured creditors of a distressed bank are not bailed out if the bank is considered to be TSTS. We further document that the less complex a bank is, the less likely is to be bailed out and, hence, to have all of its creditors protected.     

The role of banks in the governance of nonfinancial firms: Evidence from Europe

The aim of our research is to investigate the important role of banks in the governance of companies listed in the Euronext 100 index. Primarily, this research seeks to examine the impact of a bank’s presence within a firm, as a creditor or shareholder, on firm performance, as well as the motivations of banks to acquire holdings, and whether the presence of a bank as a shareholder of a firm facilitates its access to bank loans. Empirical analyses are conducted with a sample of 86 nonfinancial institutions listed in the Euronext 100 index over the period 2008–2013 using the three-stage least squares method. The study shows, first, that the presence of a bank within a firm, as a creditor or shareholder, is positively related to firm performance. Moreover, the firm’s performance is an important determinant of the presence of bank shareholding. Finally, the presence of a bank as a shareholder of a firm does not facilitate its access to bank loans.     

CAP Forum on E‐Business: The Management of Financial Disclosure on Corporate Websites: A Conceptual Model*

This paper addresses the impact of Internet financial reporting (IFR) on financial accounting theory by incorporating it into the general Gibbins, Richardson, and Waterhouse (GRW) (1990) disclosure‐management framework. The GRW model assumes that the firm has a relatively stable process of disclosure management. This process varies between two positions: one ritualistic and the other opportunistic. These dimensions can coexist in the same firm but, on average, the policy of a firm will be either more ritualistic or more opportunistic. Our survey of the financial information disclosed in traditional financial reporting (TFR) as compared with the website disclosures of a random sample of Canadian companies documents a significant difference between TFR and IFR, as well as a wide variability among the sample firms in their use of IFR content, format, and technology. We interpret this variability in the incremental difference of IFR over TFR as an indication that a firm's ritualistic or opportunistic behaviour under IFR is not different from its behaviour under TFR. Thus, the adapted GRW (1990) conceptual model appears to have the potential to support future research in the management of financial disclosure on corporate websites.     

Equity Markets Do Not Fit All: an Analysis of Public‐to‐Private Deals in Continental Europe

Concentration of family‐based ownership and recent development of private equity companies in Continental Europe suggest that the motivations and results of public‐to‐private (PTP) deals may differ from well‐studied cases in the USA and the UK. We overview the PTP market and measure the cumulative abnormal returns (CARs) of 106 PTP deals concluded in Continental Europe from 2000 to 2005, introducing a model to explain the abnormal returns. Our results partially confirm findings of previous studies, namely, that undervalued and smaller firms register higher CARs. We additionally find that deals promoted by family owners register higher abnormal returns, whereas financial investors and private operating firms show no impact.     

Does Accrual Management Impair the Performance of Earnings‐Based Valuation Models?

This study examines how accrual manipulations affect firm valuation in the years surrounding the passage of the Sarbanes‐Oxley Act (SOX). We compare the absolute percentage pricing errors of RIM and DCF valuation models for a group of US firms suspected to have engaged in accrual manipulations to avoid a small loss or a small earnings decline vs. ‘Normal’ firms matched on industry, year and size. We find that RIM can better estimate intrinsic value than DCF for the matched Normal firms in the pre‐SOX period, but not so for accrual manipulators, and that SOX mitigates the harmful effect of accrual manipulations, completely eliminating the difference in RIM's accuracy advantage over DCF between Normal firms and accrual manipulators. As a further analysis, we redefine Suspect firms as real‐activity manipulators and find a significant across‐group difference in accuracy wedge in both sample periods, implying that SOX has prompted firms to favor real‐activity manipulations over accrual manipulations.     

The Impact of Refinement on the Accuracy of Time‐driven ABC

Recently, time‐driven activity‐based costing (ABC) has been developed as a cost modelling technique in which transaction times (that is, times required for particular occurrences of an activity) are calculated using time equations. This paper develops a model of the error structures in time‐driven ABC and examines the impact of adding terms to time equations on the accuracy of estimated transaction times. The results provide some fundamental insights into the balancing of errors when refining time equations and lead to some general recommendations that may be followed in the design process of a time‐driven ABC system to enhance the accuracy of times calculated by means of time equations.