Decomposing the market,industry, and firm components of profitability: implications for forecasts of profitability

Academics and practitioners frequently highlight that overall market and industry performance is an important aspect of a firm’s profitability. However, few studies allow for the decomposition of a firm’s profitability into market, industry, and idiosyncratic components, and those that do often assume that the market and industry components are cross-sectional constants. In this study, we allow for variation in firm-specific sensitivities to market, industry, and idiosyncratic economic shocks, and then assess whether and when this decomposition results in improved forecasts of profitability. For the overall sample, we find significant improvements in terms of the magnitude of forecast errors and the frequency with which forecasts based on the decomposed values are superior versus forecasts using only total profitability. Across the sample as a whole, decomposing profitability in the forecasting process results in more accurate forecasts greater than two-thirds of the time (increasing to almost 80% within certain subsamples). Our results provide strong support for the role that firm-specific measures of market and industry profitability play in predicting a firm’s future performance, as well as highlighting settings where the decomposition provides the greatest benefit in terms of predicting future changes in profitability.     

The Discriminating Beta: Prices and Capacity with Correlated Demands

Uniform customer‐class pricing can do much of the work of congestion‐based or time‐of‐day pricing in communication or wireless networks. A monopolist exploits differences in the stochastic characteristics of demands. If demands are correlated and the firm faces a capacity constraint, then it can set prices to reduce the variability of aggregate demand, thereby reducing the probability of excess demand and the associated service quality deterioration. Demands that covary negatively with aggregate demand are valuable to the firm in much the same way that securities that covary negatively with the market are valuable in a stock portfolio. Customer classes that exhibit low covariance with aggregate demand realize lower optimal prices. Optimal capacity is also affected by these covariances. As long as demands are not perfectly positively correlated, expected costs of joint production are less than expected costs of serving demands separately.     

Tax avoidance and ex ante cost of capital

This study examines the association between tax avoidance and ex ante cost of equity capital. Based on prior research, we develop two proxies for investors’ expectations of tax avoidance and explore whether deviations from those expectations result in higher ex ante cost of equity capital. We find that the ex ante cost of equity capital increases with tax avoidance that is either below or above investor expectations and that the increase is larger for tax avoidance that exceeds investors’ expectations. We then examine whether firms that alter their future tax avoidance exhibit a lowering of their ex ante cost of equity capital and find that tax avoidance decreases (increases) from the prior year for firms that were above (below) investors’ expectations in the prior year. These results are consistent with the trade‐off suggested by the Scholes and Wolfson framework and reinforce the notion that balancing tax benefits and non‐tax costs is an important feature of firms’ tax planning.     

Forecasting technology diffusion: a new generalisation of the logistic model

The present research proposes a new generalisation of the logistic model aiming at technology diffusion forecasting. Regarding criticisms and failures reported in the literature to apply logistic function for long-term forecasting, in our work we focused on short-term accuracy of forecast. To formulate the model, based on mathematical approximation, at first the differential equation governing the diffusion process is found and then by solving the derived differential equation, the forecast function is obtained. In all steps, mathematical tools from numerical analysis are used. We compared the New Generalized Logistic Model with eight of the most renowned models in the literature. The model led to more accurate fits and forecasts than those obtained from other models we applied for comparison.     

Impacts of household loan regulation on financial stability: evidence from Korea

The paper examines whether banking regulations and monetary policy contributed to controlling the fragility of household debt in Korea. The results show that housing loan regulations such as debt to income regulation contributed to a lower household debt delinquency ratio. Lowering the target interest rate provided additional stabilisation of the delinquency ratio. It is recommended that the government adopt an appropriate mix of regulation and monetary policy to control household financial fragility. The financial supervisory services need to be involved in managing debt to income regulation and minimising financial instability and financial market distortions. Further, the monetary authority has to adopt a more effective position in controlling the real lending interest rate and the delinquency ratio of household loans. Such a policy mix will improve effectiveness in controlling financial fragility, especially at a time of financial crisis.     

Readability of accountants’ communications with small business—Some Australian evidence

This paper explores the readability of a new and non-corporate narrative area, accountants’ communications with small business. The distinctive motivations, agendas and interests of small business managers are considered. The findings are informed by rationales from Shearer's (2002) thesis on the influence of neoclassical economics on accounting discourse. The study finds low readability accentuated by potentially low reader interest with accounting documents composed according to conventional accounting's rules and statutory requirements. Higher readability and document content which informs small business managers’ interests is evident when accountants are not compelled to author documents with reference to these professional rules and legislation.     

You May Not Reap What You Sow: How Employees’ Moral Awareness Minimizes Ethical Leadership’s Positive Impact on Workplace Deviance

Although a growing body of research has shown the positive impact of ethical leadership on workplace deviance, questions remain as to whether its benefits are consistent across all situations. In this investigation, we explore an important boundary condition of ethical leadership by exploring how employees’ moral awareness may lessen the need for ethical leadership. Drawing on substitutes for leadership theory, we suggest that when individuals already possess a heightened level of moral awareness, ethical leadership’s role in reducing deviant actions may be reduced. However, when individuals lack this strong moral disposition, ethical leadership may be instrumental in inspiring them to reduce their deviant actions. To enhance the external validity and generalizability of our findings, the current research used two large field samples of working professionals in both Turkey and the USA. Results suggest that ethical leadership’s positive influence on workplace deviance is dependent upon the individual’s moral awareness—helpful for those employees whose moral awareness is low, but not high. Thus, our investigation helps to build theory around the contingencies of ethical leadership and the specific audience for whom it may be more (or less) influential.     

MODELLING A REGIME‐SHIFTING BEVERIDGE CURVE

This paper offers new insights into Beveridge curve analysis by modelling the unemployment–vacancy rate relationship within a Markov regime‐switching environment in which the probabilities of curve‐shifting are determined endogenously by shift factors. Shift factors include structural factors such as labour market participation and net migration, while cyclical variables include GDP growth, the real rate of interest, and labour productivity. This approach enables us to estimate regime‐specific parameters and to assess the role played by these factors in influencing the transition probabilities of switching between regimes. Using New Zealand data, we show that increases in the participation rate have shifted the Beveridge curve inward, while increases in net migration have shifted the curve outward.