Search results

The global financial crisis of 2008 still has an impact on the financial systems around the world, for which funding liquidity has been mentioned as one of the main concerns during that period. This study aims to consider the impact of and extent to which the funding structure of Islamic banks along with deposit structure, macroeconomic variables, other bank-specific variables, including alternative funding mix variables (in terms of funding structure measured as financing/deposit ratio), could play a part in explaining the financial conditions and predicting the failures and performances of Islamic banks in the case of Malaysia under the distress created by the global financial crisis.

Multivariate logit model was used with a sample including 17 full-fledged Islamic banks in Malaysia for the period from December 2005 to September 2010 by using quarterly data.

This study found that the funding mix variable (financing/deposit ratio), the composition of deposits, alternative bank-specific variables and alternative funding mix variables are statistically significant. In contrast, none of the macroeconomic variables is found to have a significant impact on bank liquidity. In the final models, the variables that showed significant performance were selected as explanatory variables. The results of McFadden R-squared for both selected models showed an excellent fit to predict the Islamic banks’ performance.

This empirical study contributes to the literature in two ways: to the best of the authors’ knowledge, this is the first study to examine the role of the funding structures of Islamic banks in determining their performance; and it also examines the effect of deposit composition (the mudharabah and non-mudharabah deposits) on Islamic banks’ performance.

To determine the relationship among covariates used in financial distress studies.

The study selects four specific bankruptcy studies and employs canonical correlation analysis to determine the relationship among the different variable sets that these studies used as predictors of financial distress. Canonical correlation analysis identifies the relationship and provides an indication of the amount of redundancy that exists between two variable sets. The four studies are representative of the genre, similar as to choice of statistical technique, and frequently cited by researchers.

The research findings indicate that the relationships between the alternative variable sets are very weak and alternative variable sets do not represent similar financial relationships. Redundancy coefficients suggest that, if one variable set is redundant to another variable set, it is because the redundant variable set, is much smaller than the predictor variable set.

The results suggest that there is not much similarity among the variable sets used in financial distress studies; to the extent that there is any similarity, it is due to variables common to each set or one variable set being larger than the other variable set. Ad hoc variable selection in financial distress studies results in the use of alternative variable sets containing heterogeneous variables unrelated to one another.

A common criticism of financial distress research is that a theory of corporate failure does not exist. Variable selection is not prompted by economic theory but is based upon suggestions in the literature, the success of variables in earlier studies, or the selection of a large set of variables with an accompanying data reduction procedure. Despite nearly 30 years of research in the area, the absence of an inter‐correlational structure among alternative variable sets highlights the atheoretical nature of financial distress research.

In fragile institutional environments, firms often have no choice but bribery as the means to access the services monopolized by the government. Corrupt government officials whose resources are valuable to many different firms can easily find other firms willing to offer bribes. The purpose of this paper is to examine whether and how this imbalanced interdependence exposes the bribing firm to the hazard of opportunism from the bribed officials.

This study draws on World Business Environment Survey (WBES) data and the instrumental variable (IV) Probit estimator with Heckman correction for the potential selection bias.

The authors find that the more firms depend on bribery to acquire governmental resources, the severer the level of opportunism they encounter from the government officials. In addition, the authors find that although the presence of a legal alternative to bribery reduces the level of a corrupt government official's opportunism that a bribing firm experiences, the more firms depend on bribery despite the presence of a legal alternative, the higher the level of the corrupt official's opportunism that the firm will experience. Finally, the authors find that establishing a relational contract with government officials reduces the hazard of opportunism.

The study contributes to the resource dependence literature by finding that a greater imbalance in the interdependence between two parties in bribery exposes the more dependent party to a larger hazard of opportunism. The finding that an ineffective alternative to a current resource provider would not strengthen but weaken a resource seeker's bargaining power expands the literature. The authors also contribute to the corruption research by showing the significant strategic, not legal, risk to bribing firms of engaging in bribery, which to date has not been sufficiently discussed.

According to the market timing theory, firms try to take advantage of windows of opportunity to raise capital by exploiting temporary cost fluctuations of alternative financing sources. In this context, the main objective of this paper is to examine the influence and persistence of market timing in the financing decisions of Brazilian firms that launched IPOs in the period from 2001 to 2011.

We analyze the influence of past market values on the capital structure of these firms, based on the main models proposed by Baker and Wurgler (2002), adapted to reflect the characteristics of Brazilian firms’ financial statements.

We find evidence of market timing, but this behavior is not sufficiently persistent in the period studied to the point of determining these firms’ capital structure. We believe the fact that Brazilian companies rarely carried out follow-on primary equity issues after floating their capital in the period analyzed, due to the presence of more advantageous financing sources (particularly from the national development bank, BNDES), explains the results. Therefore, Brazilian firms appear to be pay heed to different funding sources, in search of windows of opportunity, to guide their financing decisions and determine their capital structures.

The Brazilian capital market has been developing intensely in recent years, making it increasingly relevant to analyze the financing and investment decisions of the country’s listed companies. The Brazilian literature on capital structure is extensive, but few works have addressed the issue of market timing.

The purpose of this research is to test how varying the numbers of attributes and alternatives affects the use of heuristics and selective information processing in discrete choice experiments (DCEs). The effects of visual attribute and alternative non-attendance (NA) on respondent choices are analyzed.

Two laboratory experiments that combined eye tracking and DCEs were conducted with 109 and 117 participants in the USA. The DCEs varied in task complexity by the number of product attributes and alternatives.

Results suggest that participants ignore both single attributes and entire alternatives. Increasing the number of alternatives significantly increased attribute NA. Including NA in choice modeling influenced results more in more complex DCEs.

The current experiments did not test for choice overload. Future studies could investigate more complex designs. The choice environment affects decision-making. Future research could compare laboratory and field experiments.

Private and public sectors often use DCEs to determine consumer preference. Results suggest that DCEs with two alternatives are superior to DCEs with four alternatives because NA was lower in the two-alternative design.

This empirical research examined effects of attribute and alternative NA on choice modeling using eye tracking and DCEs with varying degrees of task complexity. Results suggest that accounting for NA reduces the risk of over- or understating the impact of attributes on choice, in that one avoids claiming significance for attributes that might not truly be preferred, and vice versa.

Drawing on institutional theory and knowledge spillover, the study aims to examine whether there is a causality relationship between macroeconomic factors and research productivity.

The study uses fixed-effects (FE) panel regression analysis, utilizing 1,614 country–year observations and 541,732 citable publications between 1996 and 2017, to explore the relationship between macroeconomic factors, research and development (R&D) expenditure and research productivity in economics and finance.

The results highlight a two-way relationship between R&D expenditure and economic development and research productivity. However, research productivity has no relationship with foreign direct investment (FDI), trade and financial development. In terms of remaining macroeconomic factors, financial development, trade and FDI have insignificant associations with research productivity in both directions of causality. In line with institutional theory, the findings support the notion that economically more developed countries and countries dedicating greater R&D funds have more potential to support research activities. On the other hand, in line with knowledge spillover, the research output of nations contributes to the economic development and expansion of R&D budgets. The results are robust to alternative methodology, endogeneity concerns, additional control variables, alternative sampling and alternative research productivity proxy.

The study suggests practical implications for nations to formulate macro-policies and a better research environment for academicians and to establish links between academic research and macroeconomic factors.

First, as there is limited research focusing on the bidirectional causality between the macroeconomic environment and academic research activity, the study adds to the understanding of the causality relationship between these two constructs. Second, it examines the bidirectional relationship between macroeconomic factors and research output at a global scale, while prior studies mostly focus on a single country, or a certain region or continent. Further, it is one of the few attempts particularly focusing on economics and finance research's bidirectional relation with the macroeconomic environment.

The purpose of this paper is to examine the impact of trade openness on the cost of financial intermediation and bank performance. Developed and developing countries are currently pursuing trade openness to achieve higher bank performance with less intermediation costs.

In attaining the study's objectives, several regression methodologies were employed (i.e. system generalized method of moments (GMM), fixed effect, pooled ordinary least squares (OLS) and vector error correction model (VECM)). The authors tested the hypothesis on data of 885 banks from BRICS countries, which span 18 years (2000–2017).

The results from this robust study showed that embedding higher trade openness reduces financial intermediation costs and improves banks' performance. The results remain robust following the use of different estimation methods and alternative variables as proxies. In addition, results were still valid upon considering bank level, industry level and country level as control variables. It was also observed that the relation pattern holds its rigidity during “good” and “bad” times (i.e. the global financial crisis).

The results provide better references for bank regulators, academics and policymakers to take advantage of the low financial intermediation costs resulting from trade openness.

Inspired by the recent opening up of the Chinese banking market and by the ensuing location strategies adopted by foreign banks, the purpose of this paper is to develop an empirical analysis on location strategies. The paper enriches the existing literature by including many important realistic aspects, some of which have never been analyzed in theory before, especially for firms entering an unfamiliar and risky foreign market.

The authors carried out an empirical study on foreign banks' entry to the newly opened up Chinese banking market and modelled location strategies of foreign banks in China as a conditional logit problem, in which the dependent variable is the market chosen by an investor. To investigate the determinants of foreign banks' location choices in China, the authors collected data of foreign banks' entries into China during 1980‐2006.

The main empirical results are: asymmetric information, firm size and entry sequence are significant determinants of foreign banks' location strategies.

The paper presents a new set of results.

This study aims mainly to test the effect of audit committee independence and expertise attributes on corporate social responsibility (CSR) reporting, assurance and global reporting initiative (GRI) framework adoption and to investigate how CSR committee existence moderates this main relationship.

The study uses a large global sample that includes all (59,172) firm-year observations having CSR-related data in the Thomson Reuters Eikon database for a period between 2002 and 2019. The empirical analyses are based on random-effects logistic panel regression and Hayes methodology for the moderation analysis.

The study finds that audit committee independence and expertise are significantly associated with CSR reporting, CSR report assurance and GRI framework adoption. Moderation analysis largely supports the existence of a substitution role between audit and CSR committees and implies that audit committees are significant predictors of CSR reporting, assurance and GRI framework adoption mostly in the absence of the CSR committee.

The findings propose audit committee members be extra-vigilant in CSR reporting and assurance practices arising from undertaking substitution roles with the CSR committee. Hence, firms may configure their corporate structure in line with the results such as augmenting the audit committee with independent and expert members if they do not constitute a CSR committee. If firms establish a CSR committee, audit committee members may allocate less time to CSR reporting and assurance and more time to financial reporting quality.

This is the first study, to the best of the authors’ knowledge, to investigate the direct and indirect effect of audit committees’ attributes not only on CSR disclosure but also on GRI implementation and CSR reporting external assurance, considering the CSR committee’s possible substitutability or complementarity moderating role. This research develops a deeper understanding of audit committees’ non-financial role.

The purpose of this paper is to investigate the risk factors for A‐shares listed on both Shenzhen and Shanghai Stock Exchange in China using variables from Akgun and Gibson.

The paper applies cross‐sectional regression on the orthogonal components by rearranging these risk variables into several principal components.

The results produced strong evidence that size and book‐to‐market (BM) ratio could be well explained by these alternative risk variables. Additionally, the alternative variables are better at explaining returns in terms of adjusted R‐squares.

The practical implication of the study is that investors can improve both their pricing of the investment risk and their management of the risk factors with the alternatives identified in the study.

The paper provides evidence in explaining the size and BM effects in China's stock markets.