Accounting & Information Assurance

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    BEYOND RISK: VOLUNTARY DISCLOSURE UNDER AMBIGUITY
    (2022) Rava, Ariel; Zur, Emanuel; Business and Management: Accounting & Information Assurance; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    In my dissertation, I examine the impact of ambiguity (Knightian uncertainty), alongside that of risk, on firms’ voluntary disclosure decisions. I confirm the well-known result that an increase in risk—uncertainty over outcomes—is associated with an increase in management guidance (earnings and capital expenditure forecasts). Conversely, I find that an increase in ambiguity—uncertainty over the probabilities of outcomes—is associated with less guidance. Furthermore, I show that ambiguity decreases following voluntary disclosures, consistent with managers being aware of and reacting to heightened ambiguity. Finally, I provide novel empirical evidence showing that guidance under ambiguity has adverse capital market consequences. Even though the ways through which risk impacts managers’ disclosure decisions have been extensively studied in the accounting literature, no extant research has examined whether and how ambiguity impacts these decisions. My findings are consistent with the notion that managers’ take into account the ambiguity in the environment, showing that ambiguity has an important and distinct impact on their voluntary disclosure decisions.
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    Does Climate Change Transparency Affect Capital Flows? Evidence from Mandatory Greenhouse Gas Emissions Disclosure
    (2021) Zotova, Viktoriya; Hann, Rebecca; Zur, Emanuel; Business and Management: Accounting & Information Assurance; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    In this study, I exploit a quasi-natural experiment—the introduction of the mandatory Greenhouse Gas Emissions Reporting Program (GHGRP) in the United States—to examine the impact of climate change regulations on corporate investments, in particular, the effect of non-financial carbon disclosures on firms’ capital investment location decisions. Using unique project-level data on inter-state and foreign direct investments (FDI) for a sample of U.S. corporations, I document two sets of findings. Within the U.S., firms reacted by increasing investments in more environmentally-oriented jurisdictions, while decreasing investments in less environmentally-oriented jurisdictions, making the domestic profile of investment greener. Outside of the U.S., in contrast, I find that, against a backdrop of declining global FDI, the reduction of U.S. FDI was significantly smaller in less environmentally-oriented jurisdictions, making the international profile of investment less green. These results are driven by firms with lower environmental reputation. I show that a channel for the Program’s effect on investment location decisions is the presence of capital market pressure, which is in alignment with the goals of the Program to raise awareness among stakeholders. Consistent with investment and disclosure theory, the results suggest that firms with lower environmental reputation respond to investor pressures by geographically shifting investments into more eco-friendly locations at home but not abroad. Overall, the study demonstrates that carbon disclosure policies, such as the GHGRP, can have a significant effect on firms’ real decisions as well as potential international spillovers.
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    Analysts Unchained—Expanded Information Processing Capacity and Effort Transfer under Technology Adoption
    (2020) Feng, Ruyun; Kimbrough, Michael; Business and Management: Accounting & Information Assurance; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    Analysts acquire and disseminate information to assist investors in equity valuation. Despite their expertise in equity valuation, sell-side analysts are economic agents with limited time and cognitive resources. The constraint on an analyst’s information processing capacity is reflected by the previously documented negative association between an analyst’s forecast accuracy for a focal firm and the total number of firms the analyst covers. While prior research focuses on analysts’ attributes and portfolio firm characteristics as factors impinging on analysts’ information processing capacity, I examine whether information technology—an exogenous factor—can alleviate this constraint. Using the recent exogenous shock of XBRL adoption, I find that the widespread adoption of XBRL expands analysts’ information processing capacity. I document two consequences of this expanded capacity. As an analyst’s information processing capacity increases, the analyst either improvs the forecast accuracy for non-adopting firms in the existing portfolio or increases the size of the portfolio. This finding indicates that the adoption of XBRL generates a positive externality from the adopting firms due to the transfer of analyst effort away from those firms. This study provides the first evidence that exogenous factors such as the adoption of new technology can expand analysts’ information processing capacity, thereby allowing analysts to improve the overall quality of existing coverage and allowing more firms to enjoy the benefits of analyst coverage. The paper also provides the new insight that information externalities can exist among firms that are fundamentally unrelated by identifying another channel—the effort channel—as a source of such externalities.
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    Matchmaking or Information Leakage? Disclosure Benefits and Constraints of Corporate Job Advertisement Specificity
    (2018) Cao, Yi; Cheng, Shijun; Business and Management: Accounting & Information Assurance; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    This study examines the benefits and constraints of a special form of corporate voluntary disclosure—job advertisements. Using a novel dataset of over 8 million recruiting advertisements posted by public companies, I follow taxonomy theories and create a continuous measure of information specificity, based upon the level of descriptive detail of skill requirements in job advertisements. Consistent with the theory that labor market disclosure mitigates search frictions, I find job advertisement specificity positively predicts employee satisfaction, productivity, and corporate accounting performance and negatively predicts employee turnover rate. My results further suggest that job advertisement specificity provides incremental information about human capital intangibles and improves the value-relevance of accounting numbers. I also show that the information specificity is constrained by product market competition. Together, my results suggest job advertisement is an important voluntary disclosure channel and that the content of job advertisements is informative to capital- and product-market participants.
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    Non-Investor Stakeholders and Earnings Benchmarks
    (2017) Wei, Sijing; Kimbrough, Michael D.; Business and Management: Accounting & Information Assurance; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    ABSTRACT A firm has numerous non-investor stakeholders, such as customers, employees, and potential business partners, who provide needed monetary and nonmonetary support to the firm. In Essay One, I provide empirical evidence on the previously untested theoretical prediction that these stakeholders’ views of a firm depend on its ability to meet relevant earnings benchmarks. Using published and proprietary reputation scores to capture stakeholder perceptions, I find in both levels and changes analyses that non-investor stakeholder perceptions are positively associated with a firm’s ability to beat relevant earnings benchmarks and that the relevant earnings benchmark for each stakeholder group varies based on the nature of its claim. Specifically, customer perceptions are positively associated with a firm’s ability to meet the profit benchmark. Potential business partner perceptions are positively associated with a firm’s ability to meet both the analyst forecast benchmark and the earnings growth benchmark. Employee perceptions are positively associated with a firm’s ability to meet the earnings growth benchmark. These findings highlight broader uses of and broader audiences for accounting information than previously documented. In Essay Two, I examine whether and how firms consider their non-investor stakeholders when prioritizing which earnings benchmarks to meet or beat. Using a sample of publicly traded firms from 1990 to 2015, I identify which non-investor stakeholder group (i.e. consumers, employees, or potential business partners) is most critical to a firm based on a stakeholder dependency score, which measures the extent to which a firm relies on a particular stakeholder group. I find that, regardless of which non-investor stakeholder group is most critical to the firm, firms beat the analyst forecast benchmark several times more frequently than they beat other benchmarks. Because the analyst forecast is the most important benchmark to the capital market, this finding indicates that managers place greater weight on investors’ preferences than on the preferences of their non-investor stakeholders when deciding which earnings benchmarks to meet or beat. Thus, capital market pressure appears to dominate the pressure from non-investor stakeholders. However, I also find that consumer-focused (employee-focused) firms meet or beat the profit benchmark (the increase benchmark) more often than non-consumer-focused firms (non-employee-focused firms) when the profit benchmark (the increase benchmark) is the most difficult to beat or when pre-managed earnings falls short of the associated benchmark. These results indicate that firms are more likely to meet or beat the specific earnings benchmark that is most relevant to a particular non-investor stakeholder group when that non-investor stakeholder group is most critical to the firm. These findings contribute to a better understanding of how managers incorporate non-investor stakeholders’ preferences in their decisions about which earnings benchmarks to meet or beat.
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    International Financial Reporting Standards and Cross-Border Mergers and Acquisitions
    (2012) Zhu, Wenjie; Gordon, Lawrence A; Loeb, Martin P; Business and Management: Accounting & Information Assurance; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    This dissertation investigates the economic impact of global accounting harmonization. Particularly I focus on its influence on macro level cross-border M&A investments. I posit that mandatory IFRS adoption lowers the systemic information noise embedded in countries' accounting standards. This reduces the associated information processing costs and enhances the economic role accounting standards play on cross-border M&A flows. After mandatory IFRS adoption, a 1% increase in accounting standards disparity suppresses bilateral M&A flows by around 2%; decrease in accounting standards disparity helps promote bilateral M&A flows when paired countries' governance infrastructure gap is relatively wider. I do not find these associations significant prior to mandatory IFRS adoption. Overall, this dissertation documents an evolving economic role accounting standards play on bilateral cross-border M&A flows, and supports International Accounting Standards Board's advocacy in adopting a uniform set of accounting standards globally. Moreover, it further analyses the current adoption demand for IFRS from the U.S. firms.