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This paper aims to study the impact of tax avoidance on corporate risk. It also examines the moderating impact of tax risk on the relationship between tax avoidance and firm risk.

Based on available information in the DATASTREAM database about a sample of French firms listed in the CAC 40 from 2010 to 2022, the study uses the feasible generalized least squares method to investigate the impact of tax avoidance on firm risk and the moderating impact of tax risk. To check the robustness of our results, the authors changed the measurement of variables to identify potential biases and they significantly mitigated the endogeneity concerns using instrumental variable regression. Additional estimations were performed, first by using book-tax differences (BTD) and its components, i.e. temporary and permanent, and second by retesting hypotheses of years before the outbreak of the corona virus disease 2019 (COVID-19) pandemic.

The results show that tax avoidance negatively affects the firm risk while tax risk has a positive effect on firm risk. More importantly, tax risk moderates the negative impact of tax avoidance on the firm risk. When tax avoidance is associated with a high level of tax risk, it leads to a high firm risk. Accordingly, tax avoidance should be considered in conjunction with tax risk when studying the effect put on the firm risk. Further analyses indicate that tax risk moderates the negative relationship between permanent BTD and firm risk.

The major limitation of this study is that it focuses only on French-listed firms, which make it difficult to generalize the results. Furthermore, the authors did not introduce governance variables into our models. An effective governance system and transparent information can reduce some of the perverse effects of risky tax avoidance by reducing the tax avoidance costs. The obtained results are of great interest to researchers who need to include the tax risk concept in their examination of the tax avoidance impacts.

The results are useful for investors wishing to make sound decisions regarding risky tax avoidance practices. Furthermore, the results may signal the need for French policymakers to make more efforts to reduce risky tax avoidance activities that are harmful to investors. They must enforce the existence and the reporting of a tax risk management strategy by firms.

This study contributes to the growing body of literature on the tax avoidance effects with a special focus on firm risk. This study provides the first French evidence of the role of tax risk in the relationship between tax avoidance and firm risk.

Although the association between sustainability assurance (SA) quality and firm value has been examined in previous studies, the moderating relationship is novel in this study and highlights the effect of corporate environmental sustainability performance (CESP) on the relationship between SA quality and firm value. This study aims to examine whether such an effect is strengthened or weakened by eco-efficiency, as measured by ISO 14001 certification, aggregate CESP score and each individual dimension of CESP (emission reduction [ER], resource reduction [RR] and product innovation [PI]).

The sample includes 40 companies in Euronext Paris with the largest market capitalisations (the Cotation Assistée en Continu 40 [CAC 40] index) from 2010 to 2020. The authors apply the feasible generalised least squares regression technique to estimate all the regression models. Because observed associations may be biased by reverse causation or self-selection, the authors use the instrumental variable approach and Heckman two-stage estimation.

The results show that SA quality had a positive and significant effect on firm value. Second, the authors demonstrate that CESP, as assessed by ISO 14001 certification, has a stronger interaction with assurance quality and acting as a moderator variable. Using the ASSET4 scores, an alternative proxy for CESP, the authors find inconsistent evidence regarding the impact of CESP attributes. The CESP and ER scores are homogeneous and have a positive effect on firm value. However, the PI and RR CESP attributes are not homogenous and do not have the same interactive effect on firm value. The results are robust to the use of an instrumental variable approach and the Heckman two-stage estimation procedure.

Policy implications: Regulators may be interested in the findings when considering current and future assurance requirements for sustainability reporting, and shareholders when considering SA as an investment choice criterion. The insights into and enhanced understanding of the incentives for obtaining high SA quality can help policymakers develop effective policies and initiatives for SA. Considering the possible improvements in sustainability performance when obtaining a high level of sustainability verification, governments need to consider mandating SA.

Firms receive clear confirmation of the importance of investing in SA quality. Financial markets do not evaluate SA dichotomously but reward companies with higher SA quality because of the greater credibility it provides. Firms should allocate a significant percentage of their annual budgets and other relevant resources to environmental training and development programmes to improve and maintain environmental performance. If they care about environmental issues, they must announce this by issuing sustainability reports and seeking assurance of the information disclosed. High-quality assurance not only has a significant effect on investors’ investment reliability judgements but also the perceived credibility of environmental performance fully moderates the effect of assurance on these judgements.

This study has social implications; the authors find that the French market rewards firms that provide a high-quality assurance to guarantee the integrity of their sustainability reports. Therefore, by incorporating environmental sustainability into their financial goals, a better assurance ultimately will urge firms to move from green washing to strategic goals, which is beneficial for society. Further, firms that focus on sustainability as part of their business strategy may attract employees who engage in green behaviours at work and create a friendlier and productive environment because it gives meaning to the work they do and keeps them engaged to the level needed to perform their jobs capably.

This study contributes to the literature by re-examining the relationship between SA quality and firm value. It also provides new evidence on the moderating effect of CESP on the SA quality–firm value nexus. Specifically, it explores the joint effect of credibility and eco-efficiency on market confidence in sustainability information.

The objective of this paper is to investigate the direction of the causal relationship between dividend policy (DP) and earnings management (EM).

This research utilizes the panel data analysis to investigate the causal relationship between EM and DP. It provides empirical insights based on a sample of 280 French nonfinancial companies listed on the CAC All-Tradable index during the period of 2008–2015. The study initiates with a Granger causality examination on the unbalanced panel data and employs a dynamic panel approach with the generalized method of moments (GMM). It further estimates the empirical models simultaneously using the three-stage least squares (3SLS) method and the iterative triple least squares (iterative 3SLS) method.

The estimation of our various empirical models confirms the presence of a bidirectional causal relationship between DP and EM.

Our study highlights the prevalence of EM in the French context, particularly within DP. It underscores the need for regulatory bodies, the Ministry of Finance, external auditors and stock exchange organizers to prioritize governance mechanisms for improving the quality of financial information disclosed by companies.

This research is, to the best of our knowledge, the first is to extensively investigate the reciprocal causal relationship between DP and EM in France. Previous studies have not placed a significant emphasis on exploring this bidirectional link between these two variables.

Investors who can transfer their savings to investments in a well-regulated market benefit not only themselves but also economic development. Hence, it is crucial for fund owners to evaluate their stock market investment decisions. The goal of the study is to understand which model determines the asset returns most efficiently. In this regard, the validity of single and multi-index asset pricing models (capital asset pricing model-CAPM and Fama–French models) has been examined in the Turkish Stock Exchange for 2009–2020, with the quantile regression (QR) approach.

On 18 portfolios comprised of quoted stocks in the Istanbul Stock Exchange 100 (ISE-100/BIST-100), we test the CAPM, the Fama and French three factor model (FF3) and the Fama and French five factor model (FF5). Empirical analyses have been carried out via QR approach regressing the portfolios' average weekly excess returns on risk premium/market factor (Rm-Rf), firm size, book value/market value (B/M), profitability and investments factors. QR estimation has been employed since QR is more effective and provides a better definition of the distribution’s tails.

Our empirical findings have revealed that the average excess weekly returns can be explained more strongly via CAPM. Moreover, Fama and French models are expected to give more reliable result with more data, whereas the market premium would give robust results for the Turkish Capital Market.

Individuals investing in financial assets must find the price model that best fits the market. The return can be approximated in the most appropriate manner using the right variables.

The study differs from other research by comparing the asset pricing models via examining the assets' weekly returns with QR in the Istanbul Stock Exchange 100 (ISE-100).

This study aims to develop a model based on the financial variables for better accuracy of financial distress prediction on the sample of private French, Spanish and Italian firms. Thus, firms in financial difficulties could timely request for troubled debt restructuring (TDR) to continue business.

This study used a sample of 312 distressed and 312 non-distressed firms. It includes 60 French, 21 Spanish and 231 Italian firms in both distressed and non-distressed groups. The data are extracted from the ORBIS database. First, the authors develop a new model by replacing a ratio in the original Z”-Score model specifically for financial distress prediction and estimate its coefficients based on linear discriminant analysis (LDA). Second, using the modified Z”-Score model, the authors develop a firm TDR probability index for distressed and non-distressed firms based on the logistic regression model.

The new model (modified Z”-Score), specifically for financial distress prediction, represents higher prediction accuracy. Moreover, the firm TDR probability index accurately depicts the probabilities trend for both groups of distressed and non-distressed firms.

The findings of this study are conclusive. However, the sample size is small. Therefore, further studies could extend the application of the prediction model developed in this study to all the EU countries.

This study has important practical implications. This study responds to the EU directive call by developing the financial distress prediction model to allow debtors to do timely debt restructuring and thus continue their businesses. Therefore, this study could be useful for practitioners and firm stakeholders, such as banks and other creditors, and investors.

This study significantly contributes to the literature in several ways. First, this study develops a model for predicting financial distress based on the argument that corporate bankruptcy and financial distress are distinct events. However, the original Z”-Score model is intended for failure prediction. Moreover, the recent literature suggests modifying and extending the prediction models. Second, the new model is tested using a sample of firms from three countries that share similarities in their TDR laws.

The United States (US) sugar program protects domestic sugar farmers from unrestricted imports of heavily-subsidized global sugar. Sugar-using firms (SUFs) criticize that program for causing US sugar prices to be higher than world sugar prices. This study examines the financial performance of publicly traded SUFs to determine if they are performing at an economic disadvantage in terms of accounting profitability, risk and economic profitability compared to other industries.

Firm-level financial accounting and market data from 2010 to 2019 were utilized to construct financial metrics for publicly traded SUFs, agribusinesses and general US firms. These financial metrics were analyzed to determine how SUFs compare to their agribusiness peer group and general US companies. The comprehensive financial analysis in this study covers: (1) accounting profit rates, (2) drivers of profitability, (3) economic profit rates, (4) trend analysis and (5) peer comparisons. Quantile regression analysis and Wilcoxon–Mann–Whitney statistics are employed for statistical comparisons.

Regarding various profitability and risk measures, SUFs outperform their agribusiness peers and the general benchmark of all US firms in terms of accounting profit rates, risk levels and economic profit rates. Furthermore, compared to other US industries using the 17 French and Fama classifications, SUFs have the highest return on investment and economic profit rate―measured by the Economic Value Added® margin―and the second-lowest opportunity cost of capital, measured by the weighted average cost of capital.

This study finds nothing to suggest that the US sugar program hinders the financial success of SUFs, contrary to recent claims by sugar-using firms. Notably in this analysis is the evaluation of economic profit rates and a series of robustness techniques.

Ownership structure deals with internal corporate governance mechanism, which plays important role in minimizing conflict of interests between shareholders and management Ownership structure is an important mechanism that influences the value of firm, financing and dividend decisions. This paper aims to examine the impact of the ownership structures, i.e. managerial ownership, institutional ownership on financing and dividend policy.

The authors use panel data of manufacturing firms from both developed and developing countries, and the generalized method of moments (GMM) is applied to analyze the results. The authors collect the data from DataStream for the period of 2010 to 2019.

The authors find that managerial ownership and ownership concentration have significant and positive effects on debt financing, but they have significant and negative effects on dividend policy. Institutional ownership shows a positive impact on financing decisions and dividend policy for sample firms.

This study fills the gap by proving the policy implications for both firms and investors, as managers prefer debt financing, but at the same time try to ignore dividend payment. Therefore, investors may not invest in firms with a higher proportion of managerial ownership and may choose to invest more in institutional ownership, which lowers the agency cost.

Small and medium enterprises (SMEs) play a crucial role in national economies worldwide, generating employment and contributing to innovation. This study tries to investigate the performance of the newly started IPO platform for the SMEs in India through a two-staged framework developed to measure pre-market and post-market underpricing separately and the impact of economic policy uncertainty (EPU) on the IPO returns using the EPU index which is based on newspaper coverage frequency. Further, the long-run performance of SME IPOs and the factors affecting the same have also been analyzed. The two-staged framework is helpful in capturing the impact of different factors separately on the two distinctive markets and providing effective investment strategies to the investors.

A sample of 384 SME IPOs issued during 2012–2018 has been analyzed using robust regression analysis.

The study highlights the fact that there are differences in the factors affecting pre-market and post-market underpricing and reports that investors subscription rate, issue expenses, lead manager reputation and EPU are positively associated, whereas the age of the firm is negatively associated with the pre-market underpricing, and lead manager reputation positively impacts the post-market underpricing whereas issue premium and pre-market underpricing are negatively associated. Pre-market underpricing subsumes all the impact of EPU (publicly available information) in it, hence providing credence to the semi-strong market hypothesis of the Efficient Market Hypothesis (EMH). The long-run performance of SME IPOs increases with time, and lead manager reputation, pre-market and post-market underpricing are positively related to the one-year return whereas issue size, turnover and issue expense are negatively related.

This paper is believed to be the first attempt to analyze the performance of SME IPOs by disaggregating IPO underpricing. The findings of this study will have a great insight for the investors and policymakers.

Drawing on open innovation and knowledge-based view, this study was initiated by investigating the fact that despite the growing literature on external knowledge being important for bridging the knowledge gap across the new product development (NPD) processes, gaps exist to explore as to what are the potential knowledge sources and their contribution for the Fuzzy-Front end (FFE-) (i.e. idea-generation) phase of the NPD process?

Thirty-seven open-ended interviews with the NPD managers in large firms from the Chemicals and Electronic industries have been conducted to collect the data following thematic analysis into NVIvo 12.

The findings reveal customers, suppliers and external research organizations are the potential knowledge sources. Each of the sources delivers distinct knowledge for FFE of the NPD process. The empirical analysis of this study demonstrates that each of the potential knowledge sources though bridges the knowledge gap that innovative firms seek for the FFE of the NPD process, however collaboration with such sources incurs significant costs, risks, resources, capabilities and management practices which differs noticeably among different kinds of knowledge sources.

Managers must need assessing not just the gains but also the pains associated with each of the knowledge source before deciding to make additional investments in terms of resources and capabilities dedicated to learning from them while considering any of these for the FFE.

This new conceptualization of FFE offers a better theoretical and practical rationale for how and what types of different sources of knowledge can bridge the knowledge gaps for the FFE of NPD processes provided that innovative firms have necessary resources to entail a successful collaboration.