Critical success factors associated with the implementation of enterprise risk management

The present research aimed to identify which critical success factors have the most influence on the implementation of Enterprise Risk Management – ERM, taking into consideration the important mission to ensure the survival, growth, and perpetuity of businesses in an environment with strong technology integration, global competition, and political, cultural, and economic contexts. To achieve this objective, a systematic and structured literature review was conducted, making it possible to identify 10 critical success factors for ERM initiatives that were analyzed and detailed, based on the literature findings and consultation with experts.     

SERVICE QUALITY IN ELECTRICITY DISTRIBUTION IN BRAZIL: A MALMQUIST APPROACH

The paper undertakes a dynamic analysis for service quality in the electricity distribution in Brazil between 2010 and 2014 based on Malmquist indexes constructed upon Data Envelopment Analysis (DEA) distance functions. The motivation for the less usual consideration of efficiency frontiers for service quality, that does not rely on traditional inputs and outputs but rather on quality indicators, builds on previous static applications in the context of telecommunications. The analysis considers undesirable technical indicators for quality as inputs and desirable consumer satisfaction indicators for quality as outputs in the efficiency frontier analysis. The bootstrap‐corrected Malmquist indexes indicated service quality deterioration in 38.1 per cent, quality stagnation in 40.5 per cent and quality improvement only in 21.4 per cent of the cases. When one decomposes the Malmquist index, the evidence does not suggest relevant frontier shifts and indicates a dominant role for the catch‐up effect. Finally, Malmquist indexes are regressed against variables that may portray heterogeneities, such as firm size, service area, density, ownership and regional dummies in terms of a well‐known two‐stage procedure. The mostly weak significance results reinforce the plausibility of the initial analysis.     

Price discovery in dual‐class shares across multiple markets

This paper proposes a new measure of price discovery that uses the spectral decomposition. The methodology is especially important in the context of large price systems, such as interest rate parities with spot and futures contracts or dual‐class shares in multiple markets. We employ high frequency data to study price discovery in dual‐class Brazilian stocks and their ADRs. We find that the foreign market is at least as informative as the home market and that shocks in the dual‐class premium entail a permanent effect in normal times, but transitory in periods of financial distress     

Market share instability in Brazilian industry: a dynamic panel data analysis

The paper investigates market share instability in the context of Brazilian industry for the 1986–1998 period. The paper proposes the use of panel data unit root tests to access market share instability for a sample of industrial firms from different sectors and therefore generalizes related time series unit root tests proposed by Gallet and List (2001 Gallet, CA and List, JA. 2001. Market share instability: an application of unit root tests for the cigarette industry. Journal of Economics and Business, 53: 473–80.  ). The results mostly indicate that one cannot reject the hypothesis of market share instability and therefore there exist some degree of market rivalry in the Brazilian case.     

Development as Dignity: Dissensus,Equality and Contentious Politics in Bihar,India

This article contributes to the literature on the finance–growth link by presenting new findings based on a new, larger dataset that is an improvement on earlier studies due to its greater coverage in terms of time periods and countries, as well as the incorporation of additional control variables such as institutional quality and the investment rate. Our results demonstrate that financial development does not have a statistically significant effect on economic growth, a finding that is robust to different model specification and estimation techniques. This suggests that the finance–growth link is not as strong as portrayed in the literature, being dependent on the sample of countries and time periods considered.     

Meta-Analysis of the Long- and Short-Term Effects of Sales Promotions on Consumer Behavior

ABSTRACT

This article presents a meta-analysis aiming to assess the short- and long-term effects of sales promotions on consumer behavior. We found 221 studies addressing this relationship. Our final sample provided 139 observations. First, the results revealed a significant relationship between sales promotion and both purchase intentions and sales volume. Second, we identified significant and positive connections with brand loyalty, perceptions of quality, consumer attitudes, and switching costs for consumers. Third, we noted that the sample type, the number of promoted products and sample size partially moderated the relationship between sales promotion and short/long-term effects.     

Incentive to manipulate earnings and its connection to analysts’ forecasts, trading, and corporate governance

We develop a model where insiders?? decision to manipulate earnings is linked both to their stake and to corporate governance. We show how earnings manipulation affects analysts?? forecasts and institutional trading. More precisely, whenever there is ??excessive?? earnings manipulation, we observe less optimistic analysts. Furthermore, institutions exhibit positive feedback trading behavior and appear to ??front-run?? analysts?? errors. Finally, companies with strong corporate governance are less prone to these phenomena, being able to avoid the detrimental effects of insiders?? incentives. We then provide strong empirical evidence to support our model.     

Modeling and Forecasting Large Realized Covariance Matrices and Portfolio Choice

We consider modeling and forecasting large realized covariance matrices by penalized vector autoregressive models. We consider Lasso‐type estimators to reduce the dimensionality and provide strong theoretical guarantees on the forecast capability of our procedure. We show that we can forecast realized covariance matrices almost as precisely as if we had known the true driving dynamics of these in advance. We next investigate the sources of these driving dynamics as well as the performance of the proposed models for forecasting the realized covariance matrices of the 30 Dow Jones stocks. We find that the dynamics are not stable as the data are aggregated from the daily to lower frequencies. Furthermore, we are able beat our benchmark by a wide margin. Finally, we investigate the economic value of our forecasts in a portfolio selection exercise and find that in certain cases an investor is willing to pay a considerable amount in order get access to our forecasts. Copyright © 2016 John Wiley & Sons, Ltd.     

Oil shocks and endogenous markups: results from an estimated euro area DSGE model

This paper estimates a linearised DSGE model for the euro area. The model is New Keynesian and allows for a role for oil usage and endogenous price markups. The importance of shocks to monetary policy and oil prices is estimated to have declined in the post-1990 period, in line with the higher predictability of policy and the fall in the persistence and—to a lesser extent—variability of oil disturbances. Counterfactual exercises show that oil efficiency gains would alleviate the inflationary and contractionary consequences of oil shocks, while higher wage flexibility would help ease the impact on real output at the expense of larger inflationary pressures. While we report evidence of “countercyclical” price markups, the rise in markups induced by an oil disturbance is not found to considerably amplify the inflationary and contractionary effects of the shock. The paper discusses the policy implications of our empirical results for the euro area economy.