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The existing literature has established the importance of industry concentration in explaining firm performance and information environments. However, little is known about whether and how industry concentration affects investors’ ability to anticipate future earnings. This paper aims to investigate this query by identifying and testing two channels, product market power and intra-industry information transfer, through which industry concentration affects the informativeness of stock returns about future earnings.

The paper measures the informativeness of stock returns about future earnings by the future earnings response coefficient (FERC)). This study estimates the FERC using a firm-level sample from 38 economies.

The authors find that industry concentration significantly enhances investors’ ability to predict future earnings. Further tests show that both product market power and intra-industry information transfer contribute to explaining the positive association between industry concentration and the FERC, with the former playing a more salient role. Finally, the authors show that a country’s effective competition law attenuates the positive impact of industry concentration on the FERC by weakening the economic impact of the two underlying channels.

This study contributes to the growing literature on the price-leading-earnings relation, industry concentration and international corporate governance.

The purpose of this study is to review the capital budgeting literature over the past decade.

Specifically, over the years 2004–2013, we review works appearing in the major academic journals in accounting, finance, and management. Further, we review the specialized academic journals in management accounting. We examine the frequency of articles by journal and year published, the type of research method applied, and the topic area studied. We then review the research findings by topic area.

We find 110 articles appearing in the selected journals. While the articles increase in frequency, the research methods applied are predominantly analytical and archival in nature with relatively few experiments, case studies, or surveys. Some progress is observed for capital budgeting techniques and new methods for structuring uncertainty. The studies find that the size of capital budgets is about right for companies with high financial reporting quality, for liquid companies, during periods of normal cash flow, when the budget is financed by equity, for companies when they first go public or first go private. Tax rates and financial reporting methods for depreciation and tax expenses distort capital budgets. Organization structure and performance measurement can distort capital budgeting. Individual differences, especially optimism and honesty, can influence capital budgeting decisions.

This review is limited to the major journals in accounting, finance, and management; and the specialized journals in management accounting. There is much research to be done on capital budgeting, especially case studies of actual practice and experiments related to individual and group decision processes.

The authors examine the role of national corporate governance characteristics on both the number of deals and the total value of acquisitions in 28 European countries between 2008 and 2015. In line with previous studies, our analysis suggests that deal value and number of acquisitions follow a cyclical trend but each with different peaks and troughs throughout the sample period. Likewise, we observe a positive relationship between the level of GDP and the number as well as the total value of acquisitions. Among the three types of corporate governance institutions, namely corporate ethics, accountability, and financial market development (efficiency), the authors find that efficiency and a relatively higher level of corporate ethics within the target country in comparison to the acquirer country are positively related to the value of acquisitions.

This study empirically examines the relationship between institutional ownership and innovation activity in the unique setting of the clinical trials for US biopharmaceutical companies. We used multiple statistical techniques in the period from 1990 through 2006 for firms in the biopharmaceutical industry to examine this relationship. Contrary to the widely believed relationship discussed in the literature, our findings suggest that institutional investors vary in their reactions to innovative progress. Specifically, we find that institutional investors with a long-term investment horizon (i.e., dedicated owners) increase their holdings of a firm’s equity as the number of the firm’s products increases in phases I and II of FDA clinical trials. These findings are robust for heteroskedasticity and autocorrelation as well as for different operationalizations of the change of institutional ownership.

This chapter investigates the effect of the geographical distance between institutional investors and firms on managers' financial misconduct. The evidence shows that the likelihood of committing financial misconduct by management is positively associated with distance. The distance effect is more prominent for firms with higher information asymmetry and more dedicated institutional investors. In line with the balance between risk-taking and benefit extraction from misconduct, the severity of financial misconduct is higher for firms closer to their institutional investors. Results show that geographical proximity can significantly reduce the cost of information production and facilitate monitoring through access to soft information.

This paper seeks to situate the green economy (GE) within the broader history of sustainable development (SD), bringing related lessons and insights into its fold.

We critically examine the history of SD, focusing on the relationship between SD outcomes and a variety of theoretical and political influences, such as demodernization theories, ecological modernization, neoliberalism, and state theory. We situate the GE within this broader history and identify emergent pathways to successful GE development.

We suggest that a strong GE discourse, one that prioritizes both people and the environment, provides an opportunity to revitalize the state, combat neoliberal primacy, and drive progressive economic and environmental policy.

A critical examination of SD history can provide important lessons for GE actors seeking progressive social and environmental change.

As social and environmental crises deepen, the need for developing and propagating discourses that engender economic reform and ecological protection becomes ever more evident.

Higher real earnings management (REM) reduces financial reporting quality and increases the uncertainty of future cash flows and profitability among investors. This study asserts that REM-induced noise increases idiosyncratic return volatility (IVOL), aims to examine the association between REM and IVOL and further investigates whether information asymmetry, firm life cycle and economic policy uncertainty (EPU) moderate the association between REM and IVOL.

The authors use 94,445 firm-year observations from the US over 1987 to 2019 and test this study’s hypotheses using ordinary least square regressions with robust standard errors clustered by firm. The authors use change analysis, two-stage models and the impact threshold of the confounding variable analysis to address endogeneity.

The authors find that REM increases IVOL. This positive association is more pronounced for firms with more information asymmetry, for firms in the mature stage of the life cycle, compared with their growth-stage counterparts; and during periods of high EPU.

Extant research suggests that accrual manipulation increases IVOL. However, the shift from accrual manipulation to REM and the managerial preference towards REM suggests that it is important to explore the impact of REM on IVOL. Thus, the authors enhance the understanding of the impact of earnings management on IVOL by documenting that REM-induced noise increases IVOL. The authors further extend the limited research on the consequences of REM and report an adverse consequence.

This study aims to explore the relationship between product market competition (competition hereafter) and the quality of analysts’ forecasts.

This study uses industry-level (i.e. Herfindahl–Hirschman index), as well as firm-level (i.e. Lerner index) measures of competition and uses forecast accuracy and forecasts dispersion as proxies for analysts’ forecast quality. Further, this study considers a sample of Chinese-listed manufacturing companies for the period spanning 2005 to 2016 and uses various estimation techniques to empirically test the hypothesized relationship.

The results show that firms in highly competitive industries are characterized by greater accuracy and smaller dispersion in forecasts. Further, this positive association is more pronounced in SOEs as compared to NSOEs, and in industries characterized by intense competition. The sensitivity analysis further endorses the main results.

Presenting theoretical and empirical evidence, this study suggests that regulatory bodies should take steps to promote the competitive environment in China. This can help financial analysts in developing more accurate and reliable forecasts and ultimately can bring informational efficiency to the market. Finally, investors would be able to perform their business valuation process in a better way and make economic-useful decisions regarding their capital resource allocation.

The contribution of the current research is threefold: first, it adds to the limited literature available on this specific topic; second, this study examines the issue in China and further single out the influence of state-ownership and intensity of competition on the relation between competition and forecast properties; and third, this study provides theoretical arguments for the positive association between competition and forecasts quality while setting directions for future research on the topic and suggests the potential channels such as the reporting quality channel and the information disclosure channel that need to be explored further, to better understand the mechanism where competition influences the quality of analysts’ forecasts.

The purpose of this study is to examine the effect of product market competition on the oil uncertainty–investment relation.

The authors use firm-level financial data from the COMPUSTAT database, competition proxies from Hoberg and Phillips (2016) and macroeconomic data on crude oil price uncertainty. Corporate investment is measured as capital expenditure scaled by total assets or as the annual change in (net) total fixed assets plus depreciation. Since our panel data covers a short period (22 years) and the regressions include a combination of a lagged dependent variable and firm fixed effects, the authors apply Blundell and Bond’s (1998) GMM system when regressing corporate investment on the interaction between oil uncertainty and competition.

Consistent with the theories in the irreversible investment literature, the authors first show that investments are negatively related to oil uncertainty. Second, they show that firms in competitive industries decrease their investments in response to heightened uncertainty by a higher degree than firms in concentrated industries, suggesting that competition can exacerbate negative investment outcomes when success is uncertain. The authors also examine how competition relates to investment asymmetric reactions to positive and negative oil price return volatilities and find a stronger negative relationships between competition and investment-positive oil price volatility, indicating that increasing the probability of a negative outcome due to uncertainty leads firms to reduce investment to a larger extent.

The findings provide useful insights to guide corporate investment decisions under oil price change uncertainty. In particular, if firms can wait for the resolution of uncertainty before deciding to pursue irreversible investment in a competitive market, they can avoid potentially large losses by foregoing investment when the outcomes are unfavorable. This is because competition brings a greater uncertainty to firm performance if the investment outcome is poor, as firms in competitive industries share a large proportion of industry-wide profits with rivals and, thus, competition could erode profit margins and increases the likelihood of being driven out of the market. Hence, firms in competitive markets should balance between strategic preemptive motives and waiting for the resolution of uncertainty before deciding to pursue investment.

This study is the first to examine the effect of competition on the relationship between investment and oil price uncertainty. Moreover, it is the first to examine the effect of competition on the asymmetric response of investment to oil price uncertainty emanating from positive and negative changes in oil price.