A framework for the analysis of firm risk communication

In this paper, we propose a framework for the analysis of risk communication and an index to measure the quality of risk disclosure. Mainstream literature on voluntary disclosure has emphasized that quantity can be used as a sound proxy for quality. We contend that, in the analysis of the disclosure of risks made by public companies, attention has to be paid not only to how much is disclosed but also to what is disclosed and how.We apply the framework to a sample of nonfinancial companies listed in the ordinary market on the Italian Stock Exchange. To verify that the framework and synthetic index are not influenced by the two factors recognized in the literature as the most powerful drivers of disclosure behavior for listed companies, we use an OLS model. The regression shows that the index of disclosure quantity is not influenced either by size or industry. Thus, the synthetic measure can be used to rank the quality of the disclosure of risks.     

The fourfold relation between the essence of money,inflation, bubbles and debt—A theoretical macrofounded analysis

The paper makes an unprecedented claim by identifying a significant relationship between money's (immaterial and intrinsic-worth-detached) essence and the measurement of inflation rates, on the one hand, and bubbles and private/public indebtedness, on the other hand. The inflationary potential of cryptocurrencies—among others: xenocurrencies and special drawing rights—is also analysed. Another added value is the consistently macroeconomic approach, which starts from the structural and interconnected mechanisms and then explains economic-financial crises and their increasingly common features.     

The Gordian Knot of Practicing Digital Transformation: Coping with Emergent Paradoxes in Ambidextrous Organizing Structures*

Despite increasing scholarly attention on digital transformation, there are only limited micro‐level insights into how incumbent firms organize and manage their digital transformation efforts on a daily basis. Through a longitudinal, exploratory qualitative case study of a large firm, this article investigates how organizational members respond to an ambidextrous organizing model designed to accelerate digital innovations. The firm relied on a hybrid model of separation and integration to organize and manage its digital transformation efforts. This study unfolds the implications and consequences of such a model at the micro‐level. By applying a paradox lens, it shows how the coping actions of organizational members affected the digital transformation. The article illustrates how the hybrid organizing model led to the emergence of three paradoxes at the organizational level (paradoxes of organizing, attention, and knowledge sharing) that organizational members had to cope with. It shows how organizational members, through their coping with these paradoxes, indirectly affected the organizing model by altering its original design; and how the management, influenced by these learnings, subsequently adapted the model to enable a better sustainability over time. Overall, the findings show and explain why organizing for digital transformation is a particularly complex and paradoxical endeavor. They also provide important insights to managers and organizational developers, helping them to become aware of possible tensions in their organizing efforts as well as of coping strategies and practices to tackle these tensions. Finally, the article suggests different paths for further research in digital transformation and digital innovation from a micro‐level perspective.     

Forward-Looking Disclosures,Financial Verifiability and Analysts' Forecasts: A Study of Cross-Listed European Firms

Forward-looking disclosures are a crucial source of information when valuing a company. We study the effect of forward-looking disclosures on analysts' forecast properties, in particular accuracy and dispersion. Our sample includes all the non-financial firms from Italy, Germany, France and Switzerland that in year 2002 were cross-listed on local stock exchanges and on the New York Stock Exchange. We conduct a content analysis on the Annual Report and the 20F form of these companies for the years 2002, 2003 and 2004. We differentiate between forward-looking information on the basis of the disclosure of expected effects on future financial performance and the disclosure of a measure of this impact. We define forward-looking information disclosed with the characteristics of being quantified and directed (and financial) as financially verifiable as it facilitates the comparison with its subsequent realisation in relation to expected future financial performance. Our analysis finds support for the theoretical prediction that verifiable disclosures are more effective than unverifiable disclosures at improving accuracy and reducing dispersion of analysts' forecasts. Our sample also allows us to explore the effects of the difference between the degrees of verifiability between forward-looking disclosures of the 20F form versus those of the domestic annual report. Our analysis provides empirical support for the hypotheses that these differences are significant and have a significant effect on forecast properties.