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The authors analyse the development and implementation of the standard for the Legal Entity Identifier as a case of creating information-based assets through the establishment of an infrastructure that certifies the accuracy and validity of identity data. The authors term this process capitalization by certification. The findings describe a process whereby an identification infrastructure – including a non-replicable methodology for assessing data quality – is established that contributes to making the developer and controller of that methodology, an irreplaceable intermediary for users of the infrastructure; this in spite of the need for an associated reference data infrastructure to be open and widely accessible to all participants for the infrastructure to be successful. The findings indicate that in the process, assets are created on the basis of openly accessible data through certifying of a desired set of qualities to be achieved by adopters and the infrastructure. This, in turn, provides a starting point toward better understanding and theorizing of wider processes of data capitalization, encountered throughout the digital economy but which are also crucial to establishing information infrastructures that support cognitive action.

The paper examines whether, along with the financial performance, the disclosure of research and development (R&D) expenses, patent portfolios, patent citations and innovation activities affect the market capitalization of Russian companies.

The paper opted for a set of techniques including bag-of-words (BoW) to retrieve additional innovation-related data from companies' annual reports, self-organizing maps (SOM) to perform visual exploratory analysis and panel data regression (PDR) to conduct confirmatory analysis using data on 74 Russian publicly traded companies for the period 2013–2019.

The paper observes that the disclosure of nonfinancial data on R&D, patents and primarily product and marketing innovations positively affects the market capitalization of the largest Russian companies, which are mainly focused on energy, raw materials and utilities and are operating on international markets. The study suggests that these companies are financially well-resourced to innovate at risk and thus to provide positive signals to stakeholders and external agents.

Our findings are important to management, investors, financial analysts, regulators and various agencies providing guidance on corporate governance and sustainability reporting. However, the authors acknowledge that the research results may lack generalizability due to the sample covering a single national context. Researchers are encouraged to test the proposed approach further on other countries' data by using the compiled lexicons.

The study aims to expand the domains of signaling theory and market valuation by providing new insights into the impact that companies' reporting on R&D, patents and innovation activities has on market capitalization. New nonfinancial factors that previous research does not investigate – innovation disclosure indicators (IDI) – are tested.

The purpose of this paper is to analyse the gap between government bonds (index-linked and long-dated) and real estate yields/capitalization rates over time for the UK, Australia and the USA. The global financial crisis was a sharp shock to real estate markets, and while interest rates and government bond yields fell in response around the world, real estate yields (cap rates) have risen.

The absolute yield gap levels and their variation over time in the different countries are compared and linked to the theoretical reasons for the yield gap and, in particular, a changing real estate risk premium. Within this context, it assesses whether there have been structural breaks in long-term relationships during booms and busts based on autoregressive conditionally heteroscedastic (ARCH) models. Finally, the paper provides further insights by constructing statistical models of index-linked and long-dated yield gaps.

The relationships between bond and property yields go through a traumatic time around the period of the global financial crisis. These changes are sufficiently strong to be statistically defined as “structural breaks” in the time series. The sudden switch in the yield gaps may have stimulated a greater appreciation of structural change in the property market.

The research focuses on the most transparent real estate markets in the world, but other countries with less developed markets may respond differently.

The practical implications relate to how to value real estate yields relative to interest rates.

This is the first paper that has compared international yield gaps over time and examined the role of the gap between index-linked government bonds and real estate yields.

As various different and even contradictory concepts are proposed to depict a firm's capabilities related to big data, and extant relevant research is fragmented and scattered in several disciplines, there is currently a lack of holistic and comprehensive understanding of how big data alters value creation by facilitating firm capabilities. To narrow this gap, this study aims to synthesize current knowledge on the firm capabilities and transformation of value creation facilitated by big data.

The authors adopt an inductive and rigorous approach to conduct a systematic review of 185 works, following the “Grounded Theory Literature-Review Method”.

The authors introduce and develop the concept of big data competency, present an inductive framework to open the black box of big data competency following the logic of virtual value chain, provide a structure of big data competency that consists of two dimensions, namely, big data capitalization and big data exploitation, and further explain the evolution of value creation structure from value chain to value network by connecting the attributes of big data competency (i.e. connectivity and complementarity) with the transformation of value creation (i.e. optimizing and pioneering).

The big data competency, an inclusive concept of firm capabilities to deal with big data, is proposed. Based on this concept, the authors highlight the significant contributions that extant research has made toward our understanding of how big data alters value creation by facilitating firm capabilities. Besides, the authors provide a future research agenda that academics can rely on to study the strategic management of big data.

The purpose of this paper is to examine the relevance of asset composition of a firm (tangible versus intangible properties), when evaluating its financial health. The paper argues that relevance of any asset is a function of how effectively it is used.

The paper uses two distinctive samples: a sample of traditional firms holding primarily traditional physical assets and a sample of technology service firms holding primarily intangible assets and examines the ability of intangible assets to surrogate as financial health signals.

The results show that when evaluating firms with significant intangible assets, using information about intangible assets to improve financial health evaluation. However, fundamental financial variables continue to be important in signaling financial health, regardless of asset composition.

The results highlight the importance of both objectively‐measured and reported fundamental financial information and subjectively measured intangible asset values. The results would help managers and markets in using greater caution when evaluating firms with intangible assets.

Unlike prior studies, this paper uses both fundamental financial variables and surrogates for intangible asset values in the model. The paper contributes by highlight the importance and limitations of intangible asset values.

The issue of executive pay has been the subject of intense debate in recent years. Discusses the factors determining executive pay using 1995 and 1996 data for a sample of 125 of the largest UK companies. Combines company performance and human capital characteristics as determinants of executive pay. Confirms the importance of company size as a strong influence on executive pay. Shows that profitability is a weak determinant of pay. Although human capital characteristics affect executive pay, the influence is not strong. When industry differences are taken into account, the impact of human capital diminishes further.

This paper aims to examine the behavioral timing hypothesis in the context of UK rights issues by seeking to establish and investigate inter-relationships between directors’ trading around rights issues as a proxy for stock mis-valuation and post-issue stock price performance.

The cumulative average abnormal returns, the buy and hold abnormal returns, the standardized residual cross-sectional t-test and the generalized sign test techniques.

The directors do possess short-term timing ability as they can identify profitable trading situations by buying more often before stock outperformance and by selling more often before stock underperformance. In addition, directors trading prior to the rights offering is found to exert an influence on the long-run abnormal returns of the rights-issuing firm, which supports the story that mis-valuation and behavioral timing are empirical.

Other types of seasoned equity offerings rather than rights issues should be included.

The research provides a direct testing for the strong form of market efficiency hypothesis, which enables policymakers to take into account market reaction to directors’ trades and how it is affected by corporate events (e.g. rights issues) when addressing insider trading regulations.

This study extends available literature in the context of both developed and emerging equity markets to testing the behavioral timing hypothesis by testing the inter-relationships between directors’ trading around rights issues and post-issue short- and long-run performance. To the best of the author’s knowledge, this is the first study that examines these inter-relationships in the UK context.

The purpose of this paper is to focus on investor reactions to unanticipated changes in income, and whether those reactions can be mitigated by managerial discussion. The authors investigate how top-management team certainty and optimism during post-earnings announcement conference calls can serve as corrective actions and add back firm value in times of unexpected changes in firm-specific risk.

The research question is tested empirically in the context of large, publicly traded, US firms’ quarterly earnings announcements, and their subsequent post-earnings announcement conference calls. The authors use the advanced content analysis software DICTION to measure the levels of managerial certainty and optimism displayed during post-earnings announcement conference calls, and event-study methodology to measure investors’ reactions.

Results indicate that earnings surprises are negatively associated with firm value, but that this relationship is mitigated positively by displays of managerial certainty and optimism during post-earnings announcement conference calls.

This work uses an innovative research design to study top-management team rhetoric in post-earnings announcement conference calls, and how specific discussions mitigate investors’ negative reactions to increases in firm-specific risk. The study highlights the importance of top-management team certainty and optimism for value creation in times of change in firm-specific risk, and the importance of rhetoric as a tool for corrective action.

This study investigates the impact of the enhanced continuous disclosure regime introduced in December 2002 on several measures of information risk in NZX‐listed stocks. We employ two microstructure models and an intraday data set to measure information risk in a sample of 71 stocks. Our empirical results show that the reforms enacted in December 2002 had no significant effect on either the level of information‐based trading or the adverse selection component of market spreads in our sample of NZX‐listed stocks.