The impact of direct environmental,social, and governance reporting: Empirical evidence in European-listed companies in the agri-food sector

Companies are continuously pressured for the dissemination of environmental, social, and governance (ESG) information, because of the constant debate on the issue of corporate sustainability, considered a critical and very important topic for society; despite this pressure, ESG's disclosure practices vary considerably from company to company, both in quantity and quality. The study aims to address the issue and verify the effectiveness of ESG reporting through the influence that the ESG disclosure has on profitability and value of listed European agri-food companies. The results obtained, studying a sample of 57 European-listed companies (EU28) in the agri-food sector observed in the period 2010–2018, show that the ESG disclosure practices of the companies impact corporate profitability; specifically, evidence is provided for the existence of a positive relationship between profitability and disclosure practices of strictly environmental and social information and a negative effect between company market value and disclosure practices relating to governance. These results suggest that greater transparency and accountability help to improve business profitability.     

The effect of cash holdings on firm performance in large Italian companies

This paper examines the relationship between cash holdings and performance in Italy over 36 years. Specifically, in light of the presence of conflicting evidence concerning the worth of cash stock, which could lead to a positive effect rather than a negative one, the role of moderating factors that can shape the magnitude of this relationship is investigated. The results show that the value of cash holdings is affected by firm‐specific characteristics, as well as factors related to the institutional context. Although other studies have analyzed moderators one at a time, this is the first work to consider how they jointly work. When the moderators are considered together, some of them become no longer statistically significant while others become even more economically and statistically relevant.     

On the determinants of data breaches: A cointegration analysis

Decisions in Economics and Finance - Cyber risks and particularly data breaches constitute one of the new frontiers of risk modeling for insurers across the world. We use the cointegration...     

Hospital competition under pay‐for‐performance: Quality,mortality, and readmissions

Health outcomes, such as mortality and readmission rates, are commonly used as indicators of hospital quality and as a basis to design pay‐for‐performance (P4P) incentive schemes. We propose a model of hospital behavior under P4P where patients differ in severity and can choose hospital based on quality. We assume that risk‐adjustment is not fully accounted for and that unobserved dimensions of severity remain. We show that the introduction of P4P which rewards lower mortality and/or readmission rates can weaken or strengthen hospitals' incentive to provide quality. Since patients with higher severity have a different probability of exercising patient choice when quality varies, this introduces a selection bias (patient composition effect) which in turn alters quality incentives. We also show that this composition effect increases with the degree of competition. Critically, readmission rates suffer from one additional source of selection bias through mortality rates since quality affects the distribution of survived patients. This implies that the scope for counterproductive effects of P4P is larger when financial rewards are linked to readmission rates rather than mortality rates.     

Issues in the analysis of co-authorship networks

Scientific collaboration is a complex phenomenon that improves the sharing of competences and the production of new scientific knowledge. Social Network Analysis is often used to describe the scientific collaboration patterns defined by co-authorship relationships. Different phases of the analysis of collaboration are related to: data collection, network boundary setting, relational data matrix definition, data analysis and interpretation of results. The aim of this paper is to point out some issues that arise in these different phases, highlighting: (i) the use of local archives versus international bibliographic databases; (ii) the use of different approaches for setting boundaries in a whole-network; (iii) the definition of a co-authorship data matrix (binary and weighted ties) and (iv) the analysis and the interpretation of network measures for co-authorship data. We discuss the different choices that can be made in these phases within an illustrative example on real data which is referred to scientific collaboration among researchers affiliated to an academic institution. In particular, we compare global and actor-level network measures computed from binary and weighted co-authorship networks in different disciplines.     

Combining forecasts: some results on exchange and interest rates

The aim of this work is to investigate whether the combination of forecasts plays an important role in the improvement of forecast accuracy Particular attention is paid to: (a) the methods of forecasting (the methods compared are neural networks, fuzzy logic, GARCH models, switching regime and chaotic dynamics); (b) combining the forecasts provided by the different methods. This work has also the aim of revising a short-term econometric forecast using a longer-term forecast. The revision process usually runs the opposite way (revision is made on a longer-term forecast using a short-term one to reflect the current available information, but it is not excluded that it is possible to proceed as described above. Daily data from the financial market is used. Some empirical applications on exchange and interest rates are given.     

Earnings and capital management and signaling: the use of loan-loss provisions by European banks

This paper investigates the relationship between loan-loss provisions (LLPs) and earnings management in the context of the capital adequacy of Euro Area (EA) banks versus non-EA credit institutions. This paper also examines whether LLPs signal managements’ expectations concerning future bank profits to investors. Additionally, this paper traces the role of bank regulations and creditor protection systems in explaining income smoothing. Evidence drawn from the 1996 to 2006 period indicates that LLPs do reflect changes in the expected quality of a bank's loan portfolio for both groups of banks, and that earnings management is an important determinant of LLPs for EA intermediaries, whereas non-EA credit institutions use LLPs to signal private information to outsiders. The paper also finds that higher protection of creditors’ rights significantly reduces the incentives to smooth earnings for EA banks. During the recent financial crisis, EA bank managers are much more concerned with their credit portfolio quality and do not use LLPs for discretionary purposes, whereas LLPs at non-EA banks are used to smooth income more than for the purposes of managing capital ratios or conveying private information about future performance to the market.     

Macroeconomic forecasting and structural change

The aim of this paper is to assess whether modeling structural change can help improving the accuracy of macroeconomic forecasts. We conduct a simulated real‐time out‐of‐sample exercise using a time‐varying coefficients vector autoregression (VAR) with stochastic volatility to predict the inflation rate, unemployment rate and interest rate in the USA. The model generates accurate predictions for the three variables. In particular, the forecasts of inflation are much more accurate than those obtained with any other competing model, including fixed coefficients VARs, time‐varying autoregressions and the naïve random walk model. The results hold true also after the mid 1980s, a period in which forecasting inflation was particularly hard. Copyright © 2011 John Wiley & Sons, Ltd.     

The Role of Income Distribution in the Diffusion of Corporate Social Responsibility

The purpose of this paper is to investigate the link between corporate social responsibility (CSR) growth and income distribution. We present a general equilibrium model where social responsibility enters both firms' and consumers' decisions. At equilibrium, different degrees of CSR diffusion may arise. We study the conditions under which there exists a virtuous circle which ties increases in the diffusion of CSR to reductions in income inequality. Under certain circumstances, any policy which promotes CSR diffusion induces a reduction in income inequality. By contrast, when such conditions are not satisfied, only redistributive policies may generate the virtuous circle.     

R&D competition, absorptive capacity, and market shares

This paper deals with an oligopolistic industry where firms are engaged in cost-reducting R&D activity to maximize their market shares. The existence and uniqueness of a feedback-Nash-optimal R&D strategy for each firm are discussed. Our simulations highlight that variations in spillovers hardly influence the firms' R&D investment, if their absorptive capacities to exploit extramural knowledge depend on their R&D efforts. Moreover, extramural knowledge cannot completely replace in-house R&D. However, a high level of public R&D favors the firm with the most restrictive R&D expenditure constraint and/or with the lowest initial R&D stock, provided it invests in R&D.