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Considering the role of analysts in disseminating information, the paper explains the idiosyncratic volatility puzzle of China's stock market. As the largest developing country, China's research can provide meaningful reference for the research of financial markets in other new countries.

From the perspective of behavior, establishing a direct link between individual investor attention and stock price overvaluation.

The authors find that there is a significant idiosyncratic volatility puzzle in China's stock market. Due to the role of mispricing, individual investor attention significantly enhances the idiosyncratic volatility effect, that is, as individual investor attention increases, the greater the idiosyncratic volatility, the lower the expected return. Attention can explain the idiosyncratic volatility puzzle in China's stock market. In addition, due to the role of information production and dissemination, securities analysts can reduce the degree of market information asymmetry and enhance the transparency of market information.

China is the second largest economy in the world, and few scholars analyze it from the perspective of investors' attention. The authors believe this paper has the potential in contributing to the academia.

This paper aims to enhance a co-skew-based risk measurement methodology initially introduced in Polimenis, by extending it for the joint estimation of the jump betas for two stocks.

The authors introduce the possibility of idiosyncratic jumps and analyze the robustness of the estimated sensitivities when two stocks are jointly fit to the same set of latent jump factors. When individual stock skews substantially differ from those of the market, the requirement that the individual skew is exactly matched is placing a strain on the single stock estimation system.

The authors argue that, once the authors relax this restrictive requirement in an enhanced joint framework, the system calibrates to a more robust solution in terms of uncovering the true magnitude of the latent parameters of the model, at the same time revealing information about the level of idiosyncratic skews in individual stock return distributions.

Allowing for idiosyncratic skews relaxes the demands placed on the estimation system and hence improves its explanatory power by focusing on matching systematic skew that is more informational. Furthermore, allowing for stock-specific jumps that are not related to the market is a realistic assumption. There is now evidence that idiosyncratic risks are priced as well, and this has been a major drawback and criticism in using CAPM to assess risk premia.

Since jumps in stock prices incorporate the most valuable information, then quantifying a stock's exposure to jump events can have important practical implications for financial risk management, portfolio construction and option pricing.

This approach boosts the “signal-to-noise” ratio by utilizing co-skew moments, so that the diffusive component is filtered out through higher-order cumulants. Without making any distributional assumptions, the authors are able not only to capture the asymmetric sensitivity of a stock to latent upward and downward systematic jump risks, but also to uncover the magnitude of idiosyncratic stock skewness. Since cumulants in a Levy process evolve linearly in time, this approach is horizon independent and hence can be deployed at all frequencies.

This paper provides a quantitative review of the literature on the repercussions of idiosyncratic information on firms’ cost of equity (CoE) capital. In total, I review the results of 113 unique studies examining the CoE effects of information Quantity, Precision and Asymmetry. My results suggest that the association between firm-specific information and CoE is subject to moderate effects. First, the link between Quantity and CoE is moderated by disclosure types and country-level factors in that firms in comparatively weakly regulated countries tend to enjoy up to four times greater CoE benefits from more expansive disclosure—depending on the type of disclosure—than firms in strongly regulated markets. Second, a negative relationship between Precision and CoE is only significant in studies using non-accrual quality proxies for Precision and risk factor-based (RFB)/valuation model-based (VMB) proxies for CoE. Third, almost all VMB studies confirm the positive association between Asymmetry and CoE, but there is notable variation in the conclusions reached when ex post CoE measurers are used.

In this study the authors examine the nature and contents of key audit matters (KAMs), and the consequences of KAMs reporting on audit quality in the context of a developing country, Bangladesh. The authors’ proxies of audit qualities are discretionary accruals, small positive earnings surprise, audit report lag, earnings management via below the line items and audit fees.

The authors use content analysis of the KAMs for the period 2018–2021 to understand the nature and extent of KAMs reported by auditors in Bangladesh. The authors then use multivariate regression analysis to examine the effect of the number and content characteristics of KAMs on audit quality by using multivariate regression analysis.

Auditors in Bangladesh disclose a higher number of KAMs compared to other countries, disclose short descriptions of KAMs and industry generic KAMs. The authors document significant cross-sectional variations in the number and content characteristics of KAMs reported by auditors in Bangladesh. The authors’ pre-post analysis suggest that audit quality has improved after the adoption of KAMs. Cross-sectional analysis suggests that KAMs number and content characteristics are related to audit quality.

The authors’ findings imply that the KAMs reporting has the potential to play significant monitoring role in reducing the opportunistic behavior of managers. Hence, KAMs reporting can play a significant role in reducing the agency problem. For regulators, shareholders and corporate managers, the authors’ findings imply that if the audit quality is to be increased, the audit effort should be supported by an appropriate amount of audit fee.

The content characteristics of KAMs significantly influence managerial reporting behavior and affect the level of audit efforts.

Unlike developed countries (Gutierrez et al., 2018; Lennox et al. 2022), this study supports that KAMs reporting improves audit quality and control opportunistic behavior of managers in developing countries. The authors show that even though the KAMs disclosure quality is poor, it has the potential to improve financial reporting quality.

This study uses experimental data to compare the information generated by professional and nonprofessional investors when both groups receive access to the same financial disclosures. We also manipulate the disclosure level for both subject groups. Using the method developed by Barron, Kim, Lim and Stevens (1998), we then analyze the information contained in stock price forecasts that were made by the experimental subjects. Professionals on average inferred more information than nonprofessionals. The higher level of disclosure did not affect the information possessed by the professional investors. However, we find that a higher level of disclosure is associated with more private information being produced (or inferred) by nonprofessional investors. As a result, these subjects realized a significant improvement in the accuracy of their mean forecasts relative to their individual forecasts. This finding suggests that the enhanced capacity of firms to widely disclose information to all market participants via the Internet, together with the SEC's new “Fair Disclosure (FD)” regulation, has the potential to produce a significant increase in privately inferred information for on‐line nonprofessionals, potentially resulting in the aggregation of more diverse information into share prices.

The purpose of this paper is to investigate the influence of idiosyncratic risk on firm decisions.

By introducing managerial ownership as a key variable, the paper presents a parsimonious model to describe the consequences of idiosyncratic risk on firm decisions. Then the paper uses data from the Chinese stock market, in which the managerial ownership is very low (around 0.02 percent) to examine the model predictions.

The authors find that: first, the negative relation between idiosyncratic risk and firm investment, which is found in prior studies, tends to be insignificant when managerial ownership is very low; second, diversification, as an alternative firm decision to lower risk positively, relates to idiosyncratic risk despite lower managerial ownership; and third, this kind of positive relation is weaker for firms with more managerial incentives when diversification is endogenously modeled.

This paper provides new evidence to complement existing studies from developed markets, in which executives hold substantial stakes.

Opportunity recognition is an important aspect on entrepreneurship, especially for technology‐based ventures. Drawing on Austrian economic theory, recent studies have emphasized the importance of market knowledge in opportunity recognition. Although insightful, these studies do not take account of relationships that exist between different types of knowledge (e.g. technology and market knowledge). The authors aim to address this gap by integrating the Schumpeterian theory of opportunity development with Kirzner's theory of opportunity discovery to examine these relationships.

The data consist of a longitudinal sample of 42 new biotechnology ventures from the USA, Finland, and Sweden.

The paper finds that both market knowledge and technological knowledge (measured as the number of patents) contribute to firms' subsequent recognition of entrepreneurial opportunities.

The results show the value and importance of early market knowledge and technological knowledge for subsequent opportunity recognition. The empirical findings are reflected in the light of current research on Kirznerian and Schumpeterian opportunity recognition.

Post‐industrial predictions of a rapid growth in new technology homeworking have gained widespread currency to become part of the conventional wisdom. However the evidence, including primary research material, suggests that the claims for new technology homeworking, both regarding its extent and its alleged benefits, have been considerably overestimated. In particular, new technology homeworking by itself does not appear to open up opportunities for women to improve their position in the labour market; the demographic changes predicted for the 1990s may provide a better bet. Nevertheless, there is a danger in assuming that all firms apply the same strategy when employing homeworkers; at least three different variations can be identified and this has important implications for personnel managers. The overestimation of new technology homeworking stands in stark contrast to traditional homeworking where the extent has been considerably underestimated. This marginalisation of traditional homeworking stems in large part from the distortion caused by the conceptual split between private and public realms. The failure to find evidence to support the growth of new technology homeworking leads to a consideration of how the arguments may better be considered as rhetoric designed to advance a certain set of ideas – in particular that set associated with “privatisation” as a political ideology.

This paper aims to investigate the informational content of earnings surprises and accounting information in credit default swap (CDS) markets.

This paper analyzes a sample of 444 US firms and 6,907 earnings announcements. By means of parametric and non-parametric event study analysis, the paper assesses the informational value and the timeliness in the assimilation of earnings surprises by CDS rates.

This paper shows that earnings surprises contain material information and that CDS rates are affected by the disclosure of obligors’ financial statements. There is also supporting evidence that positive and negative surprises induce asymmetric reactions on CDS rates, especially after accounting for the credit risk of the obligor and the liquidity of the CDS contract. Finally, and perhaps the most interesting conclusion of the study, there is evidence that earnings disclosed during unstable periods lack informational value, in opposition to normal periods.

As compared with similar studies, this paper presents three novel contributions. The first concerns the use of non-parametric analysis in parallel with parametric tests to achieve robust conclusions. The second novel contribution resides in assessing whether the liquidity of the CDS contracts affects the information value of earnings surprises or the timeliness at which the information is assimilated into CDS rates. Finally, this paper also contributes to improve our understanding on the relationship between the business cycle and the informativeness of accounting information.

The purpose of this paper is to present a review of the deception detection literature that arrives at a different conclusion from the one presented by King and Dunn. Specifically, the authors’ review shows that people can detect deception at significantly above chance accuracy in policing environments. A new paradigm for deception detection is also discussed.

An extensive literature review was conducted.

People can detect deception at levels that exceed chance in a variety of police‐related environments when an ecological approach to detecting deception is adopted.

The authors’ review suggests that it is time for deception detection training and manuals to move away from the demeanor‐based systems that are currently dominant and toward coherence and correspondence‐based systems.

The paper presents a perspective that is different from the one advanced by King and Dunn. It also introduces the ecological detection of deception paradigm to the policing literature.