Merton-type default risk and financial performance: the dynamic panel moderation of firm size

PurposeThe main purpose of this study is to evaluate the probability of default and examine the relationship between default risk and financial performance, with dynamic panel moderation of firm size.Design/methodology/approachThis study utilizes a total of 1,500 firm-year observations from 2013 to 2018 using dynamic panel data approach of generalized method of moments to test the relationship between default risk and financial performance with the moderation effect of the firm size.FindingsThis study establishes the findings that default risk significantly impacts the financial performance. The relationship between distance-to-default (DD) and financial performance is positive, which means the relationship of the independent and dependent variable is inverse. Moreover, this study finds that the firm size is a significant positive moderator between DD and financial performance.Practical implicationsThis study provides new and useful insight into the literature on the relationship between default risk and financial performance. The results of this study provide investors and businesses related to nonfinancial firms in the Pakistan Stock Exchange (PSX) with significant default risk's impact on performance. This study finds, on average, the default probability in KSE ALL indexed companies is 6.12%.Originality/valueThe evidence of the default risk and financial performance on samples of nonfinancial firms has been minimal; mainly, it has been limited to the banking sector. Moreover, the existing studies have only catered the direct effect of only. This study fills that gap and evaluates this relationship in nonfinancial firms. This study also helps in the evaluation of Merton model's performance in the nonfinancial firms.

Working capital management, board structure and Tobin's q ratio of Thai listed firms

PurposeThis study investigates whether the integration between working capital management (WCM) and the structure of a firm's board of directors impacts its Tobin's q ratio. The sample set consists of 319 Thai listed firms with 3,190 firm-year observations from 2010 to 2019.Design/methodology/approachThe two-step generalized method of moments (two-step GMM) model is employed to address endogeneity.FindingsThe empirical results show that having both (1) a high level of net working capital holdings, a long period of net trade cycles or using an aggressive policy in working capital investment and (2) a more diverse board of directors decrease a firm's Tobin's q ratio. Conversely, when a firm's managers employ an aggressive policy for their working capital financing and the board structure of their firms is highly diverse, the firm's Tobin's q ratio increases. This indicates the appropriateness of some WCM policies is dependent on the characteristics of a firm's board of directors. Thus, the different integration between WCM and board structure may elicit dissimilar outcomes for a firm's Tobin's q ratio.Originality/valueTo their knowledge, the authors are the first to investigate the influence of the integration between WCM and board characteristics on Tobin's q ratio.

The Impact of Technological Innovation, Research and Development, and Energy Intensity on Carbon Emissions: An Experience from BRICS and OECD Countries

The impact of technological innovation, research and development, and energy intensity on carbon dioxide emissions is examined in this study. A panel data econometric analysis of relevant variables extracted from the OECD and World Development Indicators databases for 36 OECD and 5 BRICS countries from 2005 to 2018 reveals that the Kao panel cointegration test revealed all countries, BRICS countries, and OECD countries exhibited cointegrated relationships regarding the selected variables. At this point, the correlation matrix shows that none of the independent variables has a strong correlation coefficient with the dependent variable. We also used two regression methods to evaluate the long-run association between the study's variables; the two-stage least square (2SLS) and panel generalized method of moments (GMM) both provide similar results, indicating that they are robust. According to the findings, technological innovation and R&D have a positive association with CO2 emissions, but energy intensity has a negative relationship with CO2 emissions.

You Learn When It Hurts: Evidence in the Mutual Fund Industry

This paper aims to contribute to the lack of research on the learning process of mutual fund markets. The empirical design is focused on the ability of the Spanish equity mutual fund industry to learn from its important errors. The choice of this industry is justified by both its relevance in the European mutual fund markets and some specific characteristics, such as the concentration and the banking control of the industry, which may affect the learning process. Our main objectives are to identify important trading errors in mutual fund management by applying three independent filters based on the relative importance of each decision, and then testing the evolution of these errors both at the industry level and at the fund family level. We apply the dynamic model of generalized method of moments (GMM), and we find an overall significant decrease in the percentage of important trading errors over time, thereby providing evidence of the global learning process of the industry. In addition, we find that a large number of fund families drive this evidence. Finally, we obtain that the family size and its dependence on financial groups do not seem to play significant roles in explaining the learning process. Therefore, we conclude that fund managers have incentives to learn from their important trading errors, in order to avoid them in future decisions, due to their serious negative consequences on fund performance, regardless of the characteristics of the families to which they belong.

Country-level sustainability and cross-border banking flows

Purpose This paper aims to investigate the association between country-level sustainability scores and cross-border bank-to-non-bank flows within countries. Design/methodology/approach The authors analyze cross-border banking flows into the real sector firms of 26 developed countries from 2006 to 2017. The authors use a dynamic panel ordinary least square along with an instrumental variable and a generalized method of moments regressions to test the relationship between country-level sustainability scores and cross-border banking flows. Additionally, the authors apply Fama-MacBeth cross-sectional regression and non-parametric portfolio tests to obtain robust results. Findings The impact of country-level sustainability scores on cross-border banking flows is positive and significant. This finding is consistent with the signaling theory, which states that a country’s sustainability score is a signal to attract more international fund flows. Notably, the authors deduce that environmental sustainability is more important than the social and governance pillars. Practical implications The findings indicate that the real sector firms located in countries having higher sustainability scores can receive more international bank flows. Consequently, policymakers should focus more on country-level sustainability investments to improve the financing of resident firms. Social implications Policymakers should focus more on country-level sustainability investments to improve the financing of resident firms. Originality/value To the best of the authors’ knowledge, no existing study has investigated the signaling function of country-level sustainability scores in the cross-border banking flow conjecture. By investigating this relationship for real sector firms, this study portrays how the non-banking sector can benefit from such a policy that promotes sustainable practices at the country level.

Developing a competitiveness index at sub-national level for India: an economic growth measure

PurposeThe objective of this study is threefold–first, to develop a Regional Competitiveness Index (RCI) for measuring competitiveness of sub-national regions for India; second, to test this index for its ability to explain regional growth, which validates usage and applicability of this index; and third, to further investigate if the competitiveness of states is in turn caused by economic growth, i.e. it is tested if there is a bidirectional causality between competitiveness and regional growth.Design/methodology/approachThe data of indicators used in the index are from sources available freely in public domain. The competitiveness index is constructed using equal weightage supported by principal component analysis (PCA) technique. The causal relationship analysis is done using panel data of 10 years from 2008 to 2017 for 32 Indian states/union territories. The generalized method of moments (GMMs) is used for this dynamic regression estimation.FindingsBased on RCI score, states have been ranked and through rank analysis, the authors observe the performance status of these sub-national regions and are able to categorize them as improving, no change or deteriorating in regional competitiveness. Using the GMM estimation, the association between RCI and economic growth is found to be significant at 10% level. This shows that regional competitiveness as captured through the RCI score is able to explain regional economic growth and economic disparity among the sub-national units. Further, that RCI score is found to Granger-cause growth, while growth does not lead to better RCI scores. This establishes the usefulness of RCI as an important policy variable to compare states and provide direction for sectoral reforms.Research limitations/implicationsThe limitations of the study include (1) broad assumption that these sub-national regions belong to a uniform macro-economic and technology environment, and (2) data constraints as it is a longitudinal study. The study implies that the composite index could capture differences in regional competitiveness explaining regional economic disparity and that competitiveness causes higher economic growth and not vice versa.Practical implicationsThe RCI score can prove to be a useful indicator of economic performance of different states and can be used by national and state policymakers to compare and assess regional disparity among different states. The pillar-wise scores will be useful for in-depth study of weakness and strength of the sub-national territories.Originality/valueConstruction of an RCI for sub-national territories and analysis of panel data for longitudinal study of ten years is unique in the regional competitiveness literature.

Business sustainability performance and corporate financial performance: the mediating role of optimal investment

PurposeEmploying a large sample consisting of 3,701 corporations domiciled in developed and emerging countries, this paper aims to analyze the mediating role of investment efficiency in the association between business sustainability performance and corporate financial performance.Design/methodology/approachFour different aspects of corporate sustainability offered by the ASSET4 database are used as proxies for business sustainability performance, including economic, corporate governance, social and environmental dimensions. In addition to these aspects, the aggregate measure of business sustainability performance is also employed. In order to test the association between business sustainability and corporate performance via investment efficiency, ordinary least squares, fixed-effect, random-effect and generalized method of moments statistical models were employed.FindingsThe results suggest that business sustainability performance is positively associated with corporate financial performance, indicating that sustainable corporations enjoy higher financial performance. Moreover, Sobel, Aroian and Goodman tests confirm that investment efficiency mediates the positive relationship between business sustainability performance and financial performance. Finally, further analyses show that the positive association between sustainability performance and investment efficiency is stronger for those firms headquartered in developed countries than in those located in emerging nations.Originality/valueThis paper contributes to the literature by investigating how growth opportunities advance the influence of business sustainability to corporate financial performance using a large sample from 43 countries.

Macroeconomic fundamentals, institutional quality and shadow economy in OIC and non-OIC countries

PurposeThe purpose of this paper is to analyze the relationship between macroeconomic fundamentals, intuitional quality and shadow economy.Design/methodology/approachBy utilizing data setspanning from 2004 to 2015 of 141 countries, the study has employed advanced panel technique, i.e. Generalized Method of Moments (GMM) method. In order to check consistency of the results, the study also used fixed effect and random effect for robustness.FindingsThe study finds that for the full sample, institutional quality has negative effect on shadow economy while macroeconomic fundaments effect shadow economy differently. After splitting the sample into Organization of Islamic Cooperation (OIC) and non-OIC countries subsamples, it observes same influence of macroeconomic fundaments and institutional quality on shadow economy, but the effect of macroeconomic fundaments and institutional quality on shadow economy is less observed for OIC countries. The results are found consistence by using different estimation methods.Originality/valueThe current literature has focused on estimating the size of shadow economy and literature linking the macroeconomic fundaments, institutional quality and shadow economy is scarce. Additionally, this study provides the evidence for cross comparison between OIC economies and non-OIC economies.

The Effect of COVID-19 Pandemic on Corporate Dividend Policy in Indonesia: The Static and Dynamic Panel Data Approaches

This research examines the effect of the crisis due to the COVID-19 pandemic on dividend policy in Indonesia. The purposive sampling method was used to collect data from corporates listed on the IDX from 2014 to 2020 and analyzed using static and dynamic panel data approaches. The fixed-effect models (FEM) were selected for the static panel data regression. Meanwhile, the first difference-generalized method of moments (FD-GMM) and system-generalized method of moments (SYS-GMM) were used for determine the robustness of the estimated dynamic panel data. The results showed that the crisis due to the pandemic led to higher dividend distribution on SYS-GMM. Furthermore, companies maintained the dividend level as a positive signal for investors which lifted the sluggish trade condition in the capital market. Profitability and previous year dividends positively affect dividend policy robustly. Furthermore, the results showed that age affects dividend policy on FD-GMM. Financial leverage has a robust effect, and firm size has an effect on FD-GMM in different directions, while investment opportunity does not affect dividend policy. Statistically, the FEM selected that violates the best linear unbiased estimation was proven to form parameters that were not much different from the estimates produced by the dynamic model, both from the coefficient of influence direction and significance, and the omitted variable bias occurs as evidenced in the robust test with dynamic model was solved. This research is also used as a reference for considering investors’ investment decisions in the new normal condition. Therefore, dividend policy can be considered as a positive signal to investors with the ability to stock trading activities in the capital market.

Cash holding and investment efficiency nexus for financially distressed firms: The moderating role of corporate governance

The current research study aims to analyze the impact of cash holding on investment efficiency by moderating the role of corporate governance among financially distressed firms. The data for 14 years (2006-2019) is gathered from 400 companies of two Asian emerging economies (Pakistan and India). The results are obtained by applying a generalized method of moments (GMM), which postulates that corporate governance improves cash holding with investment efficiency in the Indian scenario and decreases in the Pakistani scenario. Concerning financially distressed firms, corporate governance strengthens the relationship of cash holding with investment efficiency in the Pakistani context but showing no moderating role in the Indian scenario. The results are helpful in cash management decisions to minimize the agency issue and to avail investment opportunities.