In TripAdvisor we trust: Rankings,calculative regimes and abstract systems

A proliferation of rankings and league tables increasingly permeate everyday life. An objective of this paper is to explain the profusion of such rankings, in particular on-line user review rankings, in contemporary society and what this means for our understanding of the role of accounting. The online travel website TripAdvisor and its hotel ranking system is a prominent example of this new phenomenon. The site increasingly appears to play the role of trusted intermediary for the ‘independent traveller’ who spurns the services of the traditional travel agent in favour of making their own holiday arrangements. In this paper, we undertake netnographic research to consider the way in which TripAdvisor rankings engender trust. Drawing on the site’s own operational features together with an analysis of the traveller commentaries hosted within the site, we argue that the case of TripAdvisor is a powerful illustration of an internet mediated abstract system (Giddens, 1990, Giddens, 1991) that draws on calculative practices to construct trust. In addition, we speculate as to the implications of the proliferation of such internet mediated expert systems, both on the accounting profession, and on future accounting research.     

A new method for ranking academic journals in accounting and finance

Given the many and varied uses to which journal rankings are put. interest in ranking journal ‘quality’ is likely to persist. Unfortunately, existing methods of constructing such rankings all have inherent limitations. This paper proposes a new (complementary) approach, based on submissions to RAE 2001. which is not restricted to a pre-defined journal set and, importantly, is based on quality choice decisions driven by economic incentives. For three metrics, submissions to RAE 2001 are compared with the available set of publications to provide evidence on the perception of journal quality, a fourth metric is based on the overall RAE grades, and an overall ranking is produced.     

Ratio Analysis Using Rank Transformation

This paper presents an alternate method for transforming financial ratios. Ratios are ranked and scaled into a uniform distribution with boundaries between 0 and 1. Conceptually, we suggest that this method solves a number of methodological problems associated with ratios, including constrained choice of regression models, ratio outliers, negative ratios, and non-normal distributions. Scaled ranks of financial ratios are also conceptually appealing because they appear to capture comparative ordinal data about cross-sectional relationships between firms.The study empirically tests scaled rank transformations by examining the association of the transformations with stock returns. Results show that models using relative ranked accounting ratios have more explanatory and predictive power than untransformed, log-transformed and square-root transformed ratios.     

The impact of constructive operating lease capitalisation on key accounting ratios

Current UK lease accounting regulation does not require operating leases to be capitalised in the accounts of lessees, although this is likely to change with the publication of FRS 5. This study conducts a prospective analysis of the effects of such a change. The potential magnitude of the impact of lease capitalisation upon individual users' decisions, market valuations, company cash flows, and managers' behaviour can be indicated by the effect on key accounting ratios, which are employed in decision-making and in financial contracts. The capitalised value of operating leases is estimated using a method similar to that suggested by Imhoff, Lipe and Wright (1991), adapted for the UK accounting and tax environment, and developed to incorporate company-specific assumptions. Results for 1994 for a random sample of 300 listed UK companies show that, on average, the unrecorded long-term liability represented 39% of reported long-term debt, while the unrecorded asset represented 6% of total assets. Capitalisation had a significant impact (at the 1% level) on six of the nine selected ratios (profit margin, return on assets, asset turnover, and three measures of gearing). Moreover, the Spearman rank correlation between each ratio before and after capitalisation revealed that the ranking of companies changed markedly for gearing measures in particular. There were significant inter-industry variations, with the services sector experiencing the greatest impact. An analysis of the impact of capitalisation over the five-year period from 1990 to 1994 showed that capitalisation had the greatest impact during the trough of the recession. Results were shown to be robust with respect to key assumptions of the capitalisation method. These findings contribute to the assessment of the economic consequences of a policy change requiring operating lease capitalisation. Significant changes in the magnitude of key accounting ratios and a major shift in company performance rankings suggest that interested parties' decisions and company cash flows are likely to be affected.     

The Impact of Irreversibility,Uncertainty and Timing Options on Deprival Valuations and the Detection of Monopoly Profits

This paper has two purposes. The first is to derive rules identifying the deprival value of an asset (i) which is irreversible to one extent or another; (ii) the benefit stream of which is subject to continuing uncertainty; and (iii) for which an option to wait exists as to when to reacquire should the owner be deprived of it. The second is to consider whether accounting rates of return employing these deprival value rules can be developed to help in the detection of monopoly profits in circumstances where investment decision-making takes place in the presence of irreversibility, uncertainty and the existence of timing options. The ‘new’ deprival value rules for an asset differ from the ‘conventional’ ones in that present value less the value of the option to reinvest in the asset appears in the ‘new’ rules wherever present value appears in the ‘conventional’ rules. Examples are provided which suggest that ‘new’ and ‘conventional’ deprival value rules can differ materially. A further result is that accounting rates of return can be developed using the ‘new’ deprival value rules that are, in principle, useful in the detection of monopoly profits. Nonetheless, in practice such use requires a level of information that renders the result superfluous in the sense that the provision of replacement cost balance sheet data, combined with the level of information needed, is sufficient to reveal the presence of monopoly profits directly.     

How trading activity scales with company size in the FTSE 100

This paper investigates the scaling dependencies between measures of ‘activity’ and of ‘size’ for companies included in the FTSE 100. The ‘size’ of companies is measured by the total market capitalization. The ‘activity’ is measured with several quantities related to trades (transaction value per trade, transaction value per hour, tick rate), to the order queue (total number of orders, total value), and to the price dynamic (spread, volatility). The outcome is that systematic scaling relations are observed: (1) the value exchanged by hour and value in the order queue have exponents of less than 1, respectively 0.90 and 0.75; (2) the tick rate and the value per transaction scale with the exponents 0.39 and 0.44; (3) the annualized volatility is independent of the size, and the tick-by-tick volatility decreases with the market capitalization with an exponent of ?0.23; (4) the spread increases with the volatility with an exponent of 0.94. A theoretical random walk argument is given that relates the volatility exponents to the exponents in points 1 and 2.     

Sufficient conditions for expected utility to imply drawdown-based performance rankings

The least restrictive sufficient condition for expected utility to imply Sharpe ratio rankings is the location and scale (LS) property (see [Sinn, 1983] and [Meyer, 1987]). The normal, the extreme value, and many other distributions commonly used in finance satisfy this property. We argue that the LS property is also sufficient for expected utility to imply drawdown-based performance measure rankings, because for investment funds satisfying the LS condition, the Sharpe ratio and drawdown-based performance measures result in identical rankings. Hence, the same conditions that provide an expected utility foundation for the Sharpe ratio also provide a foundation for drawdown-based performance measures. We conclude that from a decision-theoretic perspective, drawdown-based performance measures are as good as the Sharpe ratio.     

Business School Rankings and Business School Deans: A Study of Nonprofit Governance

We examine the relation between business school dean turnover and MBA program rankings from 1990–2002. We find little evidence that dean departures are related to changes in a school's overall rank in the US News & World Report rankings. However, dean turnover increases following drops in the Business Week rankings and deterioration in the student placement score as measured by US News & World Report. These results are significant in both a statistical and economic sense. Our findings suggest that schools react either directly to the rankings or to information that is reflected in the rankings.     

Analysing corporate insolvency in the Gulf Cooperation Council using logistic regression and multidimensional scaling

In this paper, we examine corporate insolvency in the Gulf Cooperation Council (GCC) region between 2004 and 2011. Data comprises 28 financial ratio variables from 112 firms. We use Logit regression with best-subset selection criteria to investigate the predictive value of the ratios in the GCC context, particularly cash flow-based ratios. We also examine the main dimensions of the ratios, and the weights firms attach to them, using 3-way Multidimensional Scaling (MDS). We find that a parsimonious Logit model with the profitability ratio EBITTL, the leverage ratio TLTA and the cash flow ratios CFFOTA and CFFOCL can predict insolvency, ex-ante, with 84.8, 95.6 and 73.9 % overall, type I and II accuracy, respectively. From MDS, we uncover four financial-ratio dimensions: (i) ‘Non-strategic sales activities’, (ii) ‘Profitability and financial stability balance’, (iii) ‘Sales activities against capital conversion’; and (iv) ‘Market value against cash generation’. Insolvent firms appear very specific and attach most salience to the ‘Non-strategic sales activities’ dimension, unlike solvent firms which attach more salience to the other three dimensions. Therefore, the results imply that, to reduce susceptibility to insolvency in the GCC, managers should focus less on non-strategic sales activities.     

On the ‘Steady State’ Properties of Financial Ratios

This paper uses the methods of continuous time stochastic calculus to investigate the ‘steady state’ properties of financial ratios. Basing our analysis on previous work in the area, we show that, if a financial ratio can be characterised as a diffusion process which possesses an asymptotic equilibrium, then the Fokker-Kolmogorov-Planck forward equation may be used to ‘retrieve’ its probability density. The approach is ‘flexible’ enough to incorporate a wide variety of density functions, many of which have not been investigated in the literature. We demonstrate the procedures which may be used to derive both the cross-sectional and time series tests implied by these distributions. The paper also includes a section dealing with the methods which may be used for parameter estimation, once the underlying distribution has been determined.     

The Economics of Organizational Architecture

Drawing on the work of Michael Jensen and William Meckling, the co‐formulators of “agency cost theory,” the authors argue that there are two main challenges in designing the structure of organizations: (1) the “rights assignment” problem—that is, ensuring that decision‐making authority is vested in managers and employees with the “specific knowledge” necessary to make the best decisions; and (2) the “control” or “agency” problem—designing performance‐evaluation and reward systems that give decision‐makers strong incentives to exercise their decision rights in ways that increase the long‐run value of the organization. The authors provide a number of instructive applications and extensions of the Jensen‐Meckling organizational framework. Using a series of short case studies that range from the Barings Brothers' debacle in the early 1990s and the decade‐long restructuring of ITT to the cases of McDonald's and Century 21, the authors demonstrate the importance of designing performance‐measurement and reward systems that are consistent with the assignment of decision rights. In so doing, the authors also work to dispel the widespread notion, popular among advocates of Total Quality Management, that the widespread use of performance measures and incentives undermines efforts to promote teamwork within large organizations. A number of brief case histories of companies like Xerox and Mary Kay Cosmetics are used to show the critical role of performance measurement and individual rewards in reinforcing a quality‐centered corporate culture. As the authors conclude, “It is a mistake to think of the ‘soft’ and ‘hard’ aspects of organizations as mutually exclusive or even as competing.”     

Network,market, and book-based systemic risk rankings

We investigate the information content of stock correlation based network measures for systemic risk rankings, such as SIFIRank (based on Google’s PageRank). Using European banking data, we show that SIFIRank is empirically equivalent to a ranking based on average pairwise stock correlations as developed in this paper. The correlation based network measures complement currently available alternative systemic risk ranking methods based on book or market values. A further analytical investigation shows that the value-added appears to be mainly attributable to pairwise cross-sectional heterogeneity rather than to more subtle network relations and feedback loops.     

The Choice Among Long-Term Financing Instruments for Public Utilities

This study examines the decision of regulated utilities to raise new financing via common stock, debt, or preferred stock offerings. We develop several logit models to test how a set of relevant variables affects the issuing choice. These variables include the level of insider ownership, regulatory climates, measures of aggregate market conditions, bankruptcy risk, deviations from the long-and short-term target ratios, asset composition, etc. In addition, this paper tests whether the cross-sectional level of debt ratio is related to some of these same factors. Our findings indicate that U.S. electric utilities are not influenced by market timing when making a choice among long-term financing instruments. However, our results do show that ownership structure variables, such as the number of directors and officers, seem to have a significant negative influence upon the choice of common stock, thus lending support to Friend and Lang's finding. In addition, capital structure seems to matter for utilities.     

Stakeholders’ perceptions of factors affecting the credibility of sustainability reports

This study investigates factors affecting the credibility of sustainability reporting. Potential factors were first identified from prior studies and then refined through semi-structured interviews with sustainability reporting stakeholders including users, preparers, assurance providers and standard-setters. From this we construct a conceptual framework containing 26 variables that potentially influence credibility assessments of sustainability reports. This large set of variables is then evaluated by using a questionnaire survey of different stakeholder groups. The responses reveal that some source credibility variables (trustworthiness, track record and management expertise), assurance-related variables, and message characteristics (materiality and completeness of sustainability disclosures) are perceived by different stakeholder groups as particularly important to the credibility assessment, with source credibility factors dominating the rankings. An exploratory factor analysis shows that perceptions coalesce on four factors that are concerned with assurance and accountability, source (management) characteristics, message characteristics, and standards & ratings, with the structure of first two being dominated by the variables ranked as most important. The rank analysis also reveals significant differences between users and preparers in the ordering of influential credibility factors, and this is further supported by the significant differences between users’ and preparers’ mean scores for the ‘assurance and accountability’ and ‘source (management) characteristics’ factors.     

A Dynamic Model of Optimal Capital Structure

This paper presents a continuous time model of a firm that candynamically adjust both its capital structure and its investmentchoices. In the model we endogenize the investment choice aswell as firm value, which are both determined by an exogenousprice process that describes the firm's product market. Withinthe context of this model we explore cross-sectional as wellas time-series variation in debt ratios. We pay particular attentionto interactions between financial distress costs and debtholder/equityholderagency problems and examine how the ability to dynamically adjustthe debt ratio affects the deviation of actual debt ratios fromtheir targets. Regressions estimated on simulated data generatedby our model are roughly consistent with actual regressionsestimated in the empirical literature.     

Evaluating the Stability of School Performance Estimates over Time

When using school performance indicators for the purposes of accountability and school choice, it is very important that measures are stable over time. This issue is very relevant when the system is based on the allocation of students to the same teachers for the whole educational cycle (e.g. at primary school level). Using administrative data provided by the National Evaluation Committee for Education (INVALSI), we explore the stability of performance estimates for Italian primary schools. We first construct school performance metrics using INVALSI standardised tests, by taking advantage of a rich array of individual‐level variables (including prior achievement) that allow us to estimate a school effect in a ‘value added’ perspective. We assess differences in performance across schools and the persistence of these differences across cohorts. We find that controlling for compositional differences is important; therefore, estimates of school performances are unstable across metrics, and correlations across cohorts decline over time.     

A COMPARISON OF RISK MEASURES WHEN USED IN A SIMPLE PORTFOLIO SELECTION HEURISTIC

Assuming that a portfolio manager selects a portfolio by maximizing the returnto-risk ratios of the securities that constitute the portfolio, the performance of this "heuristic" is sensitive to the choice of risk measure in the return-to-risk ratio. Using sixty month holding periods and second degree stochastic dominance to evaluate the performance of the portfolio selection heuristic; the mean absolute deviation, beta and target semivariance were found to be superior to the variance and the mean semivariance. In addition, the heuristic with the superior risk measures provided performance comparable to the optimal single index model.     

One-sided performance measures under Gram-Charlier distributions

We derive closed-form expressions for risk measures based on partial moments by assuming the Gram-Charlier (GC) density for stock returns. As a result, the lower partial moment (LPM) measures can be expressed as linear functions on both skewness and excess kurtosis. Under this framework, we study the behavior of portfolio rankings with performance measures based on partial moments, that is, both Farinelli-Tibiletti (FT) and Kappa ratios. Contrary to previous results, significant differences are found in ranking portfolios between the Sharpe ratio and the FT family. We also obtain closed-form expressions for LPMs under the semi non-parametric (SNP) distribution which allows higher flexibility than the GC distribution.