Purpose: The purpose of this paper is to empirically examine the impact of financial development on poverty reduction in developing countries. The paper also investigates whether financial development affects poverty via institutional quality and GDP growth. Design/methodology/approach: To take into account the dynamics nature of panel data and country-specific effects, the authors use a two-step system GMM estimator. The authors also employ a large array of measures of financial development in order to check the robustness of the results. The analysis is carried out for a sample of developing countries using an unbalanced panel data set covering the period 1985-2008. Findings: The authors find that financial development plays a significant role in reducing absolute poverty. However, the authors do not find any pro-poor impact of financial development when poverty is measured in relative terms. The authors show that the impact of financial development on poverty alleviation is statistically significant when liquid liabilities and credit granted to the private sector are used as a proxy of financial development. The results on the indirect effect of financial development indicate that financial sector development has larger effects on poverty reduction when institutional arrangements are sound or/and when economic growth is high. Practical implications: The findings suggest that the inference for a pro-poor effect of financial development depends primarily on the measure of poverty and the choice of the proxy for financial development. Banking sector reforms may be an effective instrument to tackle absolute levels poverty. However, the policy makers should not rely only on financial reforms, regardless of whether they are based on banks or stock markets, to narrow the gap between the poorest quintile of the population and the richer quintiles. Rather, they should also utilize fiscal policies, such as progressive taxation and public-expenditure projects, to redistribute resources. Originality/value: The paper differs from the previous studies in several ways. First, it studies the financial development-poverty nexus using three alternative indices of poverty. Second, this study focusses on a sample of developing countries only. As the structure and development level of the financial sector in poor and rich countries could differ significantly, focussing on developing countries helps mitigate the problem of heterogeneity arising from using a pooled sample of rich and poor countries. Third, robust estimation methods are applied that take into account the dynamic nature of empirical models and country-specific effects.

Purpose: This paper aims to empirically assess the contribution of Islamic banks toward the financial stability of Pakistan. For this, the authors investigate the relative financial strength of Islamic banks and their contribution toward the financial stability. They also examine the relationship between the competitive conduct of banks and banking system stability.Design/methodology/approach: The authors use quarterly data of ten conventional banks, four full-fledged Islamic banks and six standalone Islamic branches of conventional banks of Pakistan for the period 2006-2012. The z-score has been computed and used as the measure of stability of banks and the random effects estimator applied to quantify the impact of bank-specific variables and macroeconomic indicators on the financial stability. The empirical framework used in the paper enables the authors us to examine the differential effect of each underlying variable on the financial stability across Islamic and conventional banks. To check the robustness of the results, the authors have estimated several models with different specifications.Findings: The regression results indicate that income diversity, profitability ratio, loan to asset ratio, asset size and the market concentration ratio of banks have significant effects on the stability of banks. Comparing Islamic and conventional banks, notable differential effects of the empirical determinants of financial stability for Islamic and conventional banks have been observed. The results suggest that Islamic banks have performed better as compared to conventional banks and contributed more effectively in the stability of financial sector. Overall, the results depict that the contribution of Islamic banks toward the financial stability has been reasonable and prospective.Practical implications: The empirical results of the paper are very useful not only for banks’ managements but also for the investors, bank customers and policymakers. Specifically, the findings help in enhancing our understanding as to how the bank-specific variables and macroeconomic indicators are related to the financial stability of the banking system. The results also help understand the role of both Islamic and conventional banks in the financial stability. Further, the results suggest that the financial soundness can be enhanced by creating healthy competition in the banking industry. The results about macroeconomic indicators imply that protective measures are required to intensify (mitigate) the positive (negative) effect of gross domestic product (inflation) on banks’ financial stability.Originality/value: This paper provides an overall comparative analysis of financial stability of both Islamic and conventional banks of Pakistan. First, the paper computes the z-score for each bank included in the sample, and then, it performs the regression analysis to study how bank-specific variables and macroeconomic factors are related to the financial stability of banks. Unlike the previous studies, our empirical framework enables the authors to examine the differential effect of each underlying variable on the financial stability across Islamic and conventional banks.

Purpose: The purpose of this paper is twofold. First, based on the value optimization problem of the firm, the authors proposed a theoretical model for firms’ investment decisions, which incorporates the effects of both idiosyncratic (firm specific) and macroeconomic uncertainty/risk. Second, the authors empirically estimate the proposed model for Pakistan.Design/methodology/approach: The authors utilize an unbalanced firm-level panel data covering the period 1988-2013. To generate time-variant firm-specific uncertainty, the authors estimate the autoregressive model on firm sales for each firm included in the sample over the examined period. Firm-specific risk is also measured based on the square of the residuals of firms’ sales. Two measures of macroeconomic uncertainty are computed using the conditional variance obtained by estimating the ARCH model for consumer price index and industrial production index. Several alternative measures of both types of uncertainties are used to ensure the robustness of uncertainty effects. To mitigate the problem of endogeneity, the robust two-step system-generalized method of moments estimator is used to estimate the empirical model.Findings: The results indicate that firms are likely to cut down their level of investment spending when either type of uncertainty increases. The results also reveal that the sensitivity of firms’ investment decisions to macroeconomic (aggregate) uncertainty is higher as compared to the firm-specific uncertainty. The authors show that these findings are robust to different uncertainty measures used in the analysis. The results related to firm characteristics suggest that the firm-specific variables namely the debt to assets ratio, the costs of debt to assets ratio, and the sales to assets ratio are also equally important in the determination of investment decisions of corporate manufacturing firms.Practical implications: The empirical findings of the paper are useful for firm managers, investors, and government authority. Specifically, the results help firm managers and investors to understand how firm-specific and macroeconomic uncertainty affects firms’ investment decisions. The finding that firms cut their investment spending in times of macroeconomic instability implies that declines in firms’ investment spending during the periods of macroeconomic turmoil may delay the process of recovery. Therefore, the policy makers should design such policies that encourage firms to invest more in economic crisis periods, which, in turn, would enhance the growth of the economy and help to overcome the problem of downturn/recession.Originality/value: The authors first propose a theoretical model for firms’ investment decisions based on the value optimization problem of the firm by incorporating the role of both firm-specific and macroeconomic uncertainty. Next, unlike most of previous studies, they estimate the proposed model for non-financial firms operating in Pakistan. The authors predict that a higher exposure to both idiosyncratic and macroeconomic uncertainties leads to lower investment in Pakistani manufacturing firms. Further, the authors hypothesize that both types of uncertainties have differential effects on firms’ investment decisions.

Purpose: The objective of this paper is threefold. First, it aims to empirically study whether firm-specific/idiosyncratic uncertainty, macroeconomic/aggregate uncertainty and political uncertainty have an adverse influence on firms' investment decisions in Pakistan. After establishing this, it scrutinizes whether the uncertainty effects on investment are different for firms of different sizes. Finally, it investigates whether any heterogeneity exists in the uncertainty impacts across different industries.Design/methodology/approach: The empirical analysis is based on an unbalanced panel data of 468 nonfinancial firms listed at the Pakistan Stock Exchange (PSX) during the period 2000–2018. Departing from the literature, the paper builds a time-varying composite volatility/uncertainty index based on the principal component analysis (PCA) by utilizing the constructed volatility series for sales, cash flows and return on assets to gauge firm-specific uncertainty for each firm included in the analysis. Likewise, the paper develops a PCA-based composite index for macroeconomic uncertainty by using the conditional variance series of consumer price index (CPI), industrial production index (IPI), the interest rate and the exchange rate obtained by estimating the (generalized) autoregressive conditional heteroscedastic, (G)ARCH, models. Finally, political uncertainty is measured by political risk components maintained by the Political Risk Services Group. The empirical framework of the paper augments the standard investment equation by incorporating all three types of uncertainty. Firms are grouped into small, medium and large categories based on firms' total assets and the size indicators are generated. Next, the indicators are multiplied by each uncertainty measure to quantify the differential effects of uncertainty across firm size. Firms are also differentiated by sectors to explore the sector-based asymmetries in the uncertainty effects. The “robust two-step system generalized method of moments (2SYS GMM) (dynamic panel data) estimator” is applied to estimate the empirical models.Findings: The results provide robust and strong evidence of the detrimental influence of all three types of uncertainty on investment. Yet, it is observed that the strength of the influence considerably varies across uncertainty types. In particular, compared to firm-specific uncertainty, both macroeconomic and political uncertainties have more unfavorable effects. The analysis also reveals that the effects of all three types of uncertainty are quite different at small, medium and large firms. Specifically, it is observed that although the investment of all firms is influenced adversely by magnified uncertainty, the adverse effects of all three kinds of uncertainty are quite stronger at small firms than medium and large firms. These findings support the phenomenon of size-based asymmetries in the effects of uncertainty on investment. The results also provide evidence that either type of uncertainty quite differently affects the investment policy of firms in different sectors.Practical implications: The findings help different stakeholders to know how different types of uncertainty differently affect corporate firms' investments. Further, they suggest that firm size has a vital role in ascertaining the adverse effects of uncertainty on investment. The paper identifies to which type of uncertainty investors and policymakers should care more about and to which types of firms and industries they should concern more during volatile times. Firms should have more fixed assets and expand their size to mitigate the detrimental effects on investment of internal and external uncertainties. The government should enhance the political stability to induce firms for a higher level of investment, which, in turn, will result in higher growth of the economy.Originality/value: The originality of the paper is credited to four aspects. First, unlike most previous studies that have utilized a single volatility measure, this paper constructs composite uncertainty indices based on the weights determined by the PCA. Second, it examines the effect of political uncertainty over and above the effects of idiosyncratic and aggregate (macroeconomic uncertainty) for an emerging economy. Third, and most important, it provides first-hand empirical evidence on the role of firm size in establishing the asymmetric effects of uncertainty on investment. Finally, it provides evidence on the industry-based heterogeneity in the uncertainty effects.