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This paper aims to investigate how organization capital influences different forms of corporate risk. It also explores how the relationship between organization capital and risks varies in the cross-section of firms.

To test the hypothesis, this study employs the ordinary least squares (OLS) regression model using a large sample of the United States (US) data over the 1981–2019 period. It also uses an instrumental variable approach and an errors-in-variables panel regression approach to mitigate endogeneity problems.

The empirical results show that organization capital is positively related to both idiosyncratic risk and total risk but negatively related to systematic risk. The cross-sectional analysis shows that the positive relationship between organization capital and idiosyncratic risk is significantly more pronounced for the subsample of firms with high information asymmetry and human capital. Moreover, the negative relationship between organization capital and systematic risk is significantly more pronounced for firms with greater efficiency and firms facing higher industry- and economy-wide risks.

The findings have important implications for investors and policymakers. For example, since organization capital increases idiosyncratic risk and total risk but reduces systematic risk, investors should take organization capital into account in portfolio formation and risk management. Moreover, the findings lend support to the argument on the recognition of intangible assets in financial statements. In particular, the study suggests that standard-setting bodies should consider corporate reporting frameworks to incorporate the disclosure of intangible assets into financial statements, particularly given the recent surge of corporate intangible assets and their critical impact on corporate risks.

To the best of the authors' knowledge, this is the first study to adopt a large sample to provide systematic evidence on the relationship between organization capital and a wide range of risks at the firm level. The authors show that the effect of organization capital on firm risks differs remarkably depending on the kind of firm risk a particular risk measure captures. This study thus makes an original contribution to resolving competing views on the effect of organization capital on firm risks.

The study examines how the liquid assets holdings among non-financial Indian firms vary due to tightening monetary policy and increasing macroeconomic uncertainty.

The authors analyze 5,640 firms for the period 2011–2021. The authors first estimate India’s monetary policy shocks by decomposing the exogenous shocks from the systematic component of monetary policy changes. The authors then examine the effects of the estimated monetary policy shocks and a range of macroeconomic and policy uncertainty indicators on companies’ cash and bank balances to asset ratios using two-step system generalized method of moments (GMM) estimators.

The authors find that monetary policy shocks cause the cross-sectional variances for the firms’ liquidity holdings to increase. In anticipation of macroeconomic volatility, companies respond to these shocks after taking into account all the firm-level information to minimize the opportunity costs of holding extra cash or too few cash balances that can hamper firms’ operations. Furthermore, compared to other shocks, the contribution of inflation-induced shocks is predicted to be the largest in the cross-sectional deviation of the firm’s cash holdings. The authors also find that low-growth, older and financially constrained firms observe lesser heterogeneity in their cash holdings as they tend to hold cash as a precautionary buffer.

The authors’ approach to the analysis is unique in many ways. To address potential transmission bias, the authors use nowcasts and forecasts of real gross domestic product (GDP) growth and inflation to generate a series of exogenous monetary policy shocks for identifying unanticipated changes in short-term interest rates. Subsequently, the authors estimate how these shocks affect the cross-sectional deviation of liquid assets. For estimating the effects of macroeconomic uncertainty on corporate cash demand, the authors utilize a range of proxies for uncertainty. Unlike previous attempts, the authors offer evidence for a developing and fast-emerging economy.

Using overlapped portfolio data on public equity funds in Korea, the authors construct several types of fund-stock weighted bipartite networks and measure fund network centrality. The authors also examine the relationship between network centrality and fund investment performance. The authors' results are three-fold. First, the authors find that the fund centrality of the network in which funds and stocks are connected based on the most active investing behavior positively affects the fund performance. Second, the funds with a high centrality level based on the same network generate higher returns by holding stocks with high value uncertainty. Third, the authors find that fund centrality is not associated with herd behavior. Based on these results, the authors argue that fund centrality is a proxy of information advantage and skill of fund managers. The authors' paper shows that network analysis could be a new way to identify funds with better performance and measure the skill and information advantage to construct an optimal portfolio.

This study examines the impact of economic policy uncertainty (EPU) on investment decision-making of start-up firms in Japan. While existing literature suggests firms generally retrench investment under EPU, the authors argue that start-ups’ investment behaviours are likely different given the fact that start-ups always have to compete for survival.

The authors investigate the impact of general economic policy and policy-specific uncertainty, including monetary policy, fiscal policy, trade policy and exchange rate policy uncertainty, on corporate investment of start-up firms using multiple fixed-effect regression. A wide range of robustness and endogeneity tests are conducted to ensure the validity and soundness of the empirical findings.

The authors document a positive effect of EPU on start-up investment, to suggesting that the investment behaviour of start-ups is backed by venture capital distinct from that of mature firms. The results show that start-ups are more vulnerable during the changes in trade and exchange rate policies; uncertainties in monetary and fiscal policies do not restrain firms' investment. However, the effect varies in the cross-sections. Financial constraints have a moderating effect on the relation-ship between EPU on start-up investment. Institutional investors have an incremental effect on the positive relationship between EPU and start-up investment by encouraging risky investments.

This is the first study to investigate how start-up investment is influenced by EPU, thus providing a new understanding of the investment behaviour of start-up firms during uncertainty. Further investigation sheds light on the roles of institutional and managerial ownership in this newfound relationship.

This study, a conceptual paper, aims an answer the question, how significant cluster ambidexterity is for the resilience of individual clusters.

The authors draw up an abductive synopsis of empirical information and relevant theoretical sources. A case study is used to illustrate some of the findings.

The results of the analysis show that the ambidexterity of a cluster can contribute to its resilience when adverse external developments arise. Ambidexterity proves to be simultaneously a common strategy of key cluster actors and a mechanism for coping with critical situations and developments that can be activated by the cluster actors and may – eventually – lead to cluster resilience. While ambidexterity does not guarantee cluster survival, it can contribute significantly to their economic resilience under adverse conditions.

The concept is developed on a limited empirical basis and would need to be tested and deepened by comparing a wide range of case studies from different clusters.

A better understanding of the importance of ambidexterity for the development of industrial clusters contributes to a better fine-tuning of cluster support policies.

Ambidexterity as a concept originating from business administration has so far only been rudimentarily tapped for empirical and theoretical cluster research. The paper identifies and develops a path how this could be accomplished to a greater extent in the future.

This study investigates the interactions between the US daily public debt and currency power under impacts of the Covid-19 crisis.

The authors employ the multivariate generalized autoregressive conditional heteroskedasticity (MGARCH) modeling to explore the interactions between daily changes in the US Debt to the Penny and the US Dollar Index. The data sets are from April 01, 1993, to May 27, 2022, in which noticeable points include the Covid-19 outbreak (January 01, 2020) and the US vaccination campaign commencement (December 14, 2020).

The authors find that the daily change in public debt positively affects the USD index return, and the past performance of currency power significantly mitigates the Debt to the Penny. Due to the Covid-19 outbreak, the impact of public debt on currency power becomes negative. This effect remains unchanged after the pandemic. These findings indicate that policy-makers could feasibly obtain both the budget stability and currency power objectives in pursuit of either public debt sustainability or power of currency. However, such policies should be considered that public debt could be a negative influencer during crisis periods.

The authors propose a pioneering approach to explore the relationship between leading and lagging indicators of an economy as characterized by their daily data sets. In accordance, empirical findings of this study inspire future research in relation to public debt and its connections with several economic indicators.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-08-2022-0581

The authors aim to understand the driving forces behind the idiosyncratic volatility puzzle in the Korean stock market. The authors study the Korean stock market because previous works report a strong idiosyncratic volatility puzzle in Korea, and the market for the exchange-traded funds (ETFs) including low volatility ETFs has experienced drastic growth in Korea.

Using common stocks listed either on KOSPI or KOSDAQ over the period 1997–2016, the authors estimate idiosyncratic volatility using the Fama–French three-factor model. In addition, based on prior literature, the authors use turnover as a proxy for overvaluation. The authors then study the role of turnover in understanding the idiosyncratic volatility puzzle in Korea.

The authors find that turnover is highly associated with idiosyncratic volatility. Turnover is extremely large among firms with high idiosyncratic volatility and the puzzle disappears after we control for turnover, meaning that turnover subsumes the explanatory power of idiosyncratic volatility for equity returns. The authors also find underperformance of stocks with high turnover and high idiosyncratic volatility exclusively during earnings announcement periods. Overall, our finding implies that the puzzle arises since high idiosyncratic volatility stocks due to high turnover are overvalued and experience correction afterwards.

Literature has suggested explanations based on lottery preferences of investors and market frictions behind the idiosyncratic volatility puzzle. What makes our study distinct from previous work is that we find the role of turnover in understanding the idiosyncratic volatility puzzle using turnover measure as a proxy for overvaluation in the Korean stock market.

This paper aims to enrich the scope of the influence of media reports on the stock risk, and it also provides a path to support the research on the relationship between media reports and idiosyncratic risks in the stock market.

The authors select financial restatement samples of listed companies in China from Jan 2015 to Dec 2017 to explore the impact of the financial restatement on the idiosyncratic risk of stocks. Further, the financial restatement that has more media attention may play a more significant role in promoting the idiosyncratic risk.

The authors found that the financial restatement of listed companies has a significant positive effect on the idiosyncratic risk of stocks. Specifically, the idiosyncratic risk changed five months before the restatement. After the restatement, the idiosyncratic risk increased by 83.47 in five days then decreased slowly, which lasted about one year. The restatement caused by sensitive issues and legal issues has a greater impact on the idiosyncratic risk. Both current restatement and delayed restatements will increase the idiosyncratic risk of stocks, but the impact of the latter is higher than the former.

Possible deficiencies in the paper are that the number of restatements caused by major accounting errors is low. Therefore, no regular conclusions were drawn on the impact of the financial restatement caused by major accounting errors.

The conclusions provide a basis for targeted supervisory measures on the restatements of listed companies. The increase in financial restatements is closely related to the lack of governance mechanisms in the stock market. For investors, although the mystery of idiosyncratic volatility exists significantly in the market, the company's valuation level will affect the relationship between the idiosyncratic risk and expected return. Investors should pay attention to the intrinsic value of the company and should not blindly pursue stocks with a low idiosyncratic risk.

These conclusions may enrich the scope of the influence of media reports on the stock risk and also provide a path to support the research on the relationship between media reports and idiosyncratic risks in the capital market.

This study aims to investigate not only the association between corporate environmental, social and governance (ESG) performance and the cost of capital (COC) but also its impact on the company’s idiosyncratic risk. Further, it highlights that companies could manage their risk through sustainability initiatives to achieve a cheaper cost of financing.

Using an extensive Australian sample for the 2007–2017 period from the Bloomberg database, this study conducts a panel (data) regression analysis to examine the impact of the corporate ESG performance disclosure score on the COC and idiosyncratic risk. The robustness of the findings is tested and confirmed in several ways, including a sensitivity test. Furthermore, the instrumental variable approach is used to address potential endogeneity issues.

A favourable association was found between a higher corporate ESG performance disclosure score and cheaper resources financing. The evidence also supports the mitigating impact of corporate ESG performance disclosure score on the company’s idiosyncratic risk as a strong complement for access to a cheaper source of funds. The findings strongly support both hypotheses of this study.

This study extends the current body of knowledge addressing these associations. Further studies should expand the investigation to non-listed or small and medium-sized companies. Additionally, future studies could contribute to the literature by including other moderating variables, such as a country’s cultural environment and diverse economic situations.

An extensive literature review suggests that this study, to the best of the authors’ knowledge, is the first that simultaneously evaluates the impact of corporate ESG performance disclosure on a company’s COC and idiosyncratic risk.