Audit Firm Attributes and Auditor Litigation Risk

This study examines the association between auditors' litigation risk and audit firm attributes. Using professional liability insurance premiums as a proxy for auditors' litigation risk, we present evidence that the risk is lower in audit firms having: (1) separate non-audit and audit divisions; (2) a higher proportion of partners; and (3) a higher annual growth in number of CPAs employed. Additionally, we find that the risk is higher in audit firms having: (1) operating losses; and (2) high revenue growth. Our results are consistent with the idea that audit firms' financial condition and organizational structure affect their independence/ expertise, and, in turn, their litigation risk. Our results are broadly supportive of the PCAOB's (2015) and US Department of Treasury's (2008) views that investors, audit committees, management, and other regulators could benefit from having access to financial and organizational information about audit firms.     

GLAMOUR VERSUS VALUE: TRADING BEHAVIOR OF INSTITUTIONS AND INDIVIDUAL INVESTORS

We design a new metric to measure the net buying and selling by institutions and individual investors and find that from 1980 to 2004 institutional investors were net buyers of growth stocks and net sellers of value stocks, implying that individual investors were net buyers of value stocks and net sellers of glamour stocks. The institutional preference for glamour and value stocks seems to be related to sell‐side analysts' recommendations and recent favorable stock price performances, especially during the post‐1994 period. Finally, the institutional buying of growth stocks and sale of value stocks was not based on superior information.     

Are recent segment disclosures of Japanese firms useful?: Views of Japanese financial analysts

Since 1990, the Japanese Ministry of Finance (MOF) has required Japanese firms to disclose segment data in annual financial statements. Using a survey instrument, we examine whether Japanese analysts find these segment disclosures to be useful. Our study finds that analysts perceive that segment data aid them in forecasting consolidated sales and net income. However, results also show that analysts are concerned that Japanese firms do not define segments meaningfully and consistently and are arbitrary in the allocation of common costs. Further, the analysts do not believe that the usefulness of segment data improves when it is audited. These results have implications for investors in Japanese stocks and accounting policy bodies, such as the US Securities and Exchange Commission (SEC).     

Pricing U.S. Dollar Index Futures Options: An Empirical Investigation

This paper develops a pricing model and empirically tests the pricing efficiency of options on the U.S. Dollar Index (USDX) futures contract. Empirical tests of the model indicate that the market consistently overprices these options relative to the derived model. This overpricing is more pronounced for out‐of‐the‐money options than for in‐the‐money options and more pronounced for put options than for call options. To validate the above results, delta neutral portfolios are created for one‐ and two‐day holding periods and consistently generate positive arbitrage profits, indicating that on average the market overprices the options on the USDX futures contracts.     

Dynamic Currency Linkages and Their Determinants: An Empirical Study for East Asian Economic Community Region

In this article, Copula GARCH models have been employed to study the inter-temporal process of currency market co-movements between ASEAN+6 countries (referred to in this study as East Asian Economic Community) and ASEAN+6 currency market index. Empirical results show that the sample countries of the region exhibit varying levels of currency co-movements with the Asian benchmark. Markov regime switching results show that many of the countries which had high dependences with the regional currency index as was found in copula estimations had also overlapping currency market cycles. Using Principal Component Analysis, we find that three statistical factors explain exchange rate co-movements which came out to be trade linkages, economic risk, and currency market openness in our dynamic panel data estimation.     

The EC‐LQO five‐factor framework: An alternative lens for business model innovation in highly knowledge‐intensive industries

Growing technological complexity continues to drive firms to interact with the external innovation environment to achieve firm success. However, industries' complexities and the business model concept's underlying ontology have limited research on modeling the key factors that enable this interface. In this study, results of an empirical analysis of a unique dataset of 102 biopharmaceutical companies broadly support the EC‐LQO five‐factor framework as a useful tool to guide business model innovation for highly knowledge‐intensive environments.     

Business model innovation and decision making: uncovering mechanisms for coping with uncertainty

As a research subject, business model innovation spans the strategy, innovation, and entrepreneurship fields. Yet, despite the importance of the concept, prior work has paid little attention to how decision-makers cope with uncertainty and gain understanding about interdependencies in new business model configurations. To address this gap, we combine top-down theorising and evidence-based exploration and seek to unpack some of the coping mechanisms that operate in the evolutionary view of business model innovation. Using in-depth interviewing to collect data, our study reveals five strategies – customer centricity, value co-creation, capability evolution, ecosystem growth, and adaptive pricing – that decision-makers apply to cope with uncertainty in business model innovation. We find that coping mechanisms support decision making during the development of new business models. Furthermore, we find that the five coping strategies delineate decision making for value proposition, value creation, and value capture configurations in more detail than existing literature has described. Our findings have important implications for decision making in business model innovation.     

How have US banks adopted the Financial Accounting Standards Board's Level 3 fair value disclosure rules?

We examine how banks have complied with the Financial Accounting Standards Board's disclosure rules on Level 3 recurring fair value measurements. We document widespread noncompliance with the basic disclosure requirements. We also find that the noncompliant banks are smaller in size and are associated with lower audit quality, lower institutional ownership and less effective internal controls. Our results should be of use to regulators, auditors and audit committees in the United States, Australia and other countries for assessing the likelihood of noncompliance with fair value disclosure rules and improving the quality of fair value disclosures provided to investors.     

Injury count model for quantification of risk of occupational injury

Reduction of risk of occupational injuries is one of the most challenging problems faced by industry. Assessing and comparing risks involved in different jobs is one of the important steps towards reducing injury risk. In this study, a comprehensive scheme is given for assessing and comparing injury risks with the development of injury count model, injury risk model and derived statistics. The hazards present in a work system and the nature of the job carried out by workers are perceived as important drivers of injury potential of a work system. A loglinear model is used to quantify injury counts and the event-tree approach with joint, marginal and conditional probabilities is used to quantify injury risk. A case study was carried out in an underground coal mine. Finally a number of indices are proposed for the case study mine to capture risk of injury in different jobs. The findings of this study will help in designing injury intervention strategies for the mine studied. The job-wise risk profiles will be used to prioritise the jobs for redesign. The absolute indices can be applied for benchmarking job-wise risks and the relative indices can be used for comparing job-wise risks across work systems.     

Gender and labor retrenchment in Chinese state owned enterprises: Investigation using firm-level panel data

In the late 1990s, China's state-owned enterprises (SOEs) underwent dramatic labor retrenchment, drawing considerable attention to how women fared relative to men during the retrenchment process. However, almost all the existing studies on the subject rely on individual-level data. In this paper, we study the gender patterns of SOE labor retrenchment using a unique enterprise-level dataset for the period from 1995 to 2001. We find that disproportionately large share of discharge was borne by female workers and that female discharge rates were more sensitive to output growth than male discharge rates. Further, estimating dynamic labor demand equations by gender, we find that female employment was more sensitive to negative output shocks experienced by enterprises than male employment but less sensitive to positive output shocks. Further, we find that sensitivity of female employment to output was greater for reformed than non-reformed enterprises and for male-intensive than female-intensive sectors. These results provide new insights into the gender patterns of employment adjustment of Chinese SOEs to output shocks during the retrenchment period.