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The purpose of this paper is to focus on measuring financial inclusion (FI) level for the developing countries.

By using a two-stage principal component analysis method, we construct a composite FI index to measure the degree of FI. Data are collected through secondary sources including World Bank and IMF reports for the period 2012–2018.

We have built an overall FI index which is considered as a comprehensive measure of FI, a useful tool for policymaking and policy evaluation. Comparison with other studies shows that our FI index corroborates with them.

Building a good FI measurement method is important for developing countries. It helps to assess and compare the level of FI of each country and between countries together, made easily and accurately.

This study emphasizes the important role of FI in the economy. From there, an FI solution is integrated into the construction and calculation of its impact on other factors. This will help policymakers to take effective measures to increase FI levels to achieve sustainable economic growth.

This paper examines the Random Walk Hypothesis (RWH) for aggregate New Zealand share market returns, as well as the CRSP NYSE‐AMEX (USA) index during the 1980‐2001 period. Using several indices, we rely on the variance‐ratio test and find evidence to support the rejection of the RWH with some evidence of a momentum effect. However, we find evidence to suggest the behaviour of share prices to be time‐dependent in New Zealand. For example, we find the indices tested were closer to random after the 1987 share market crash. Further analysis showed even stronger results for periods subsequent to the passage of the Companies Act 1993 and the Financial Reporting Act 1993. We also find evidence that indices based on large capitalisation stocks are more likely to follow a random walk compared to those based on smaller stocks. For the USA index, we find stronger evidence of random behaviour in our sample period compared to the earlier period examined by Lo and Mackinlay (1988)

The purpose of this paper is to examine the relationship between financial inclusion (FI) and economic growth in India.

To measure FI, a multidimensional time-varying index is proposed following the Human Development Index method. The long-run relationship between FI and economic growth is examined by using the autoregressive distributed lag (ARDL) approach to cointegration and nonlinear ARDL approach. Further, the direction of causality is investigated by employing the Toda–Yamamoto Granger causality test.

The linear cointegration test confirms a long-run relationship between FI and economic growth for India. The improvement in both demand-side and supply-side financial services has a positive impact on economic growth. These results suggest that India can attain long-run economic growth by improving the coverage of FI. However, there is no evidence of nonlinear cointegration, indicating that there is no asymmetric effect of FI on economic growth. Further, the causality test shows that FI granger causes economic growth but not vice versa.

The major limitation of the study is the availability of time series data for all important variables. The index for both demand- and supply-side indicators can be extended with several other important variables in later date once the data are available for those variables.

As the study confirms that FI is one of the main drivers of economic growth, it is suggested that the policy maker emphasizing on financial sector reforms can enjoy economic growth in the long run, especially in developing countries. Therefore, the government and policy makers need to address the issues involved in access to financial services to spur economic growth.

The study examines the long-run relationship between FI and economic growth employing ARDL bound testing approach and nonlinear ARDL approach, separately for demand-side and supply-side indicators. Further, the study uses the Toda–Yamamoto granger causality to find the direction of causal flow between FI and economic growth.

This paper aims to investigate the debated nexus of financial inclusion (FI) and financial stability (FS) in a comprehensive way, with several indicators of FI, considering nonlinearity and cross-country heterogeneity.

The authors introduce several indexes for FI by applying principal component analysis (PCA) and explore their impact on stability for a sample of 108 countries and subsamples based on income grouping as well as for pre- and post-crisis episodes over the period 2004–2017. To address the heterogeneity and endogeneity, the authors use the two-step quantile regression (2SQR), three-stage least square (3SLS) and two-step system-GMM (System-GMM).

The findings reveal that the relationship of FI and stability depends on the measurement of FI used and the heterogeneity of different macroeconomic factors. Besides, there is nonlinearity, irrespective of the measurement of inclusion used. The findings also confirm that the effect of FI is more prominent in countries with strong governance. The results are robust to several robustness validations, which could be useful for policymakers to align the divergence of these policies and ensure FS while expanding access to formal financial services.

This study makes an attempt to explore the reasons behind the debated empirical findings of the existing literature by revisiting the nexus using several disaggregated indexes, each representing individual dimension and a multidimensional index, examine the possible nonlinearity and investigate the conditioning effect of different macroeconomic factors that might play a significant role in this relationship.

The purpose of this paper is to evaluate the interest rate (IR) sensitivity of output and prices in developing economies with different levels of financial inclusion (FI) for the period 2007Q1–2017Q4.

By using the PCA method to construct an FI index for each country, the author divides the sample into two groups (high and low FI levels). Then, with panel vector autoregressions on per group estimated to assess the strength of the impulse response of output and prices to IR shock.

The findings show that the impact of an IR shock on output and inflation is greater in economies with a higher degree of FI.

The finding indicates the link between FI and the effectiveness of IRs as a monetary policy tool, thereby helping Central banks to have a clearer goal of FI to implement their monetary policy.

This study emphasizes the important role of FI in the economy. From there, an FI solution is integrated into the construction and calculation of its impact on monetary policy, improving the efficiency of monetary policy transmission, contributing to price stability and sustainable growth.

Empirical studies, to date, show that financial inclusion (FI) enhances financial stability (FS) by promoting a large deposit base, reducing information asymmetry, and strengthening market power on the one hand, and leads to financial fragility by expanding credit without proper screening, increasing operational costs, and provoking borrowers' moral hazard on the other. Thus, the most important issue is to maintain FS while extending formal financial services to the impoverished and disadvantaged segments of society. Therefore, this paper investigates the efficacy of macroprudential regulations (MPRs) to align these policy divergences.

To accomplish the objective and facilitate policy implications, the authors use aggregated and disaggregated measures of both FI and MPRs, employ advanced econometric models that minimize endogeneity and ensure robustness, and investigate their joint effectiveness in upholding FS using data of 138 countries spanning the 2004–2017 years.

The findings indicate that the effectiveness of MPRs is instrument specific. Some MPRs that obstruct access to formal financial services, in particular, moderate the advantage of FI in achieving FS, while others boost the effect of inclusion in attaining financial sector stability. Therefore, prudence should be emphasized while designing MPRs as a tool for aligning the policy trade-off between FI and FS.

To the best of the authors knowledge, this paper extends previous empirical research by investigating the conditioning impact of MPRs in the FI-FS nexus.

The main aim of this paper is to investigate Financial Instruments (FIs) disclosures provided by Jordanian listed companies under International Financial Reporting Standard No. 7 (IFRS 7) as compared to those supplied under International Accounting Standards (IAS) 30/32.

A sample of 82 Jordanian listed companies is used in this monograph. A disclosure index checklist was constructed to measure FI information provided by the sample companies.

The study finds that a larger number of Jordanian listed companies provided a greater level of FI-related information after IFRS 7 was implemented. Specifically, the sample firms provided 47 per cent of the disclosure index items after implementing IFRS 7 as compared to 30 per cent under IAS 30/32. In addition, the industrial analysis of FI disclosure revealed that the highest level of disclosure was provided by firms in the banking sector over the two periods; these companies disclosed 44 per cent of FI-related items pre-IFRS 7 and 69 per cent of items post-IFRS 7. Moreover, the industrial analysis of FI disclosure pre-and post-implementation of IFRS 7 revealed specific aspects of usefulness. In particular, some components of FI disclosure (Balance Sheet and Fair Value) showed no significant differences within and across sectors post the implementation of IFRS 7, suggesting that the new standard may have enhanced the comparability of such information.

The results provide timely findings to Jordanian authorities who may be trying to evaluate the current reforms adopted; stringent enforcement mechanisms are needed to ensure full compliance with accounting standards. However, the present investigation was conducted on a single nation (Jordan); the circumstances in Jordan gave rise to the importance of the current study. A cross-country comparative analysis is needed in order to examine the application of IFRS 7 in a developing country context.

The results of the current study have a number of implications for policymakers. First, they provide a great deal of insight for the International Accounting Standards Board about the relevance of its standards to countries outside the Western context. In addition, the findings provide valuable insights for policymakers in Jordan who are concerned about the implications of mandatory disclosures.

The analysis of FI disclosure in developing countries in general, and in Jordan in particular has been overlooked by the extant literature and therefore this study is the first of its kind to examine this research issue for a sample of Jordanian firms.

Despite numerous evidence of policy trade-off in financial inclusion-stability nexus, little is known about the role of governance quality to align policy goals and maximizing the social benefits. Therefore, to fill the gap, this study focuses to investigate the moderating effect of country governance (CG) in the interplay between financial-inclusion (FI) and financial-stability (FS), using a large panel of 84 economies covering the years 2004–2017.

For attaining this objective, the study constructs several indexes for FI, FS and CG using principal component analysis (PCA) and examines how FI influences FS at different CG levels applying advanced econometrics.

The results show that CG plays a very crucial role in eradicating the trade-off and strengthens the synergy between FI and FS. The findings are insensitive to several robustness validations and could be constructive for policymakers to devise policies and to ensure financial stability.

As far as the authors are aware, this is the only paper that empirically explains CG's role in FI-FS nexus.

The current work aims to analyze the role of commitment perceived by the consumer in the maintenance of long‐term relationships. The context of analysis chosen is the tourism sector, more specifically the relationships that retail travel agencies establish with their consumers. The study tests a conceptual model via a system of structural equations using the statistics package EQS 6.1 for Windows. The results corroborate the importance of the consumer’s trust in the travel agency and the consumer’s perception of the firm’s commitment, because this commitment acts as an antecedent of trust and creates the conditions for the firm to achieve a stable portfolio of customers.

There are several different factors that can influence self-employment. However, there is little evidence stemming from direct examination of the impact of financial development (FD) on self-employment. This study aims to formulate empirical specification models to examine the effect of FD on self-employment.

Panel data analysis of 136 sample countries was performed during the period from 2000 to 2017. This study initially implemented the new financial index developed by the International Monetary Fund (IMF) to examine the impact of FD on self-employment. Panel data analysis including the pooled model, fixed effect and random effect model has been carried out.

The empirical results show that the financial institutions index has a negative significant impact on self-employment by a considerable magnitude, whereas the financial markets index does not show any statistical significance. The results also find that the government effectiveness index is negative and statistically significant on self-employment.

There are several different factors which can influence self-employment. Nevertheless, there is little evidence for the direct examination of the impact of FD on self-employment. This study investigated the impact of FD on self-employment by using the new FD index created by the IMF. The finding may help policymakers to implement FD along with other institutional policies to control self-employment.