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AbstractA firm's announcement that it intends to restructure based on tracking stock is usually associated with a positive stock price reaction, at least in the short run. Typically, this reaction is attributed to expected reductions in a diversification discount, through reduced agency costs or information asymmetries. We reinvestigate this latter hypothesis by focusing on the liquidity provided by market makers before and after a firm issues a tracking stock. Our results suggest that such restructurings are not effective at reducing information asymmetries. Rather, firms that issue tracking stocks exhibit less liquidity and greater adverse selection than comparable control firms.

This article analyses the relationship between guilds and information asymmetries using a large database of quality disputes from early modern Italy. It finds that a high‐quality urban textile industry was able to solve externalities using a range of ex ante and ex post monitoring mechanisms based on private market relationships and fair sanctions which effectively reduced adverse selection and information asymmetries. Instead, when guilds did use their quality regulations, the effect of the guild on information asymmetries and the industry as a whole was generally negative, by providing mechanisms that could be manipulated by entrenched interest groups for rent‐seeking purposes.

Corporate carbon footprint data has become ubiquitous. This data is also highly promissory. But as this paper argues, such data fails both consumers and citizens. The governance of climate change seemingly requires a strong foundation of data on emission sources. Economists approach climate change as a market failure, where the optimisation of the atmosphere is to be evidence based and data driven. Citizens or consumers, state or private agents of control, all require deep access to information to judge emission realities. Whether we are interested in state-led or in neoliberal 'solutions' for either democratic participatory decision-making or for preventing market failure, companies' emissions need to be known. This paper draws on 20 months of ethnographic fieldwork in a Fortune 50 company's environmental accounting unit to show how carbon reporting interferes with information symmetry requirements, which further troubles possibilities for contesting data. A material-semiotic analysis of the data practices and infrastructures employed in the context of corporate emissions disclosure details the situated political economies of data labour along the data processing chain. The explicit consideration of how information asymmetries are socially and computationally shaped, how contexts are shifted and how data is systematically straightened out informs a reflexive engagement with Big Data. The paper argues that attempts to automatise environmental accounting's veracity management by means of computing metadata or to ensure that data quality meets requirements through third-party control are not satisfactory. The crossover of Big Data with corporate environmental governance does not promise to trouble the political economy that hitherto sustained unsustainability.