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The study explores how banks design their financial structure and asset portfolio in response to monetary policy changes.

The authors conduct the research design for the Vietnamese banking market during 2007–2018. To ensure robust findings, the authors employ two econometric models of static and dynamic panels, multiple monetary policy indicators and alternative measures of bank leverage and liquidity.

Banks respond to monetary expansion by raising their financial leverage on the liability side and cutting their liquidity positions on the asset side. Further analysis suggests that larger banks' financial leverage is more responsive to monetary policy changes, while smaller banks strengthen the potency of monetary policy transmission toward bank liquidity. Additionally, the authors document that lower interest rates induce a beneficial effect on the net stable funding ratio (NSFR) under Basel III guidelines, implying that banks appear to modify the composition of liabilities to improve the stability of funding sources.

The study is the first attempt to simultaneously examine the impacts of monetary policy on both sides of bank balance sheets, across various banks of different sizes under a multiple-tool monetary regime. Besides, understanding how banks organize their stable funding sources and illiquid assets amid monetary shocks is an innovation of this study.

The purpose of this study is to examine the internal determinants of bank profitability and stability in Pakistan banking sector. Because of specific research objectives, this study excludes the external factors of profitability and stability to find the role of bank internal determinants in achieving high performance.

A panel regression analysis is built on a balanced panel data using 24 commercial banks over the sample period of 2007-2015. The authors performed a separate analysis of bank profitability and stability. Both models used a comprehensive set of bank internal determinants.

The results that were obtained from profitability model indicated that bank size, credit risk, funding risk and stability have statistically significant impacts on profitability, while liquidity risk showed the statistically insignificant impact on profitability. Regression findings from stability model reveal that bank size, liquidity risk, funding risk and profitability have statistically significant impacts on stability, while credit risk had an insignificant effect on stability. However, the effect of the financial crisis is uniform and showed statistically insignificant impact in both models.

Overall, the authors’ findings bring some new but useful insights to the banking literature. Some recommendations may be functional for the sustainable performance of banks.

In view of study results, the authors provide interesting insights into the practices and characteristics of banks in Pakistan. This study also highlights significant bank internal determinants to improve understanding in the existing literature.

The purpose of this study is to investigate factors influencing the net stable funding ratio (NSFR) in the Islamic banking system. More specifically, the authors analyze the impact of the deposit structure on the liquidity ratio using the two-step generalized method of moments approach during the 2000–2014 period.

Based on IFSB-12 and the GN-6, the authors calculated the NSFR for 35 Islamic banks operating in the Middle East and North Africa (MENA) region.

The findings of this study show the following: first, ratio of profit-sharing investment accounts have a positive impact on the NSFR, while ratio of non profit-sharing investment accounts increase the maturity transformation risk; second, the results highlight that asset risk, bank capital and the business cycle have a positive impact on the liquidity ratio, while the returns on assets, bank size and market concentration have a negative impact; and third, these results support the IFSB’s efforts in developing guidelines for modifying the NSFR to enhance the liquidity risk management of institutions offering Islamic financial services.

The most prominent limitation of this research is the availability of data.

These results will be useful for authorities and policy makers seeking to clarify the implications of adopting the liquidity requirement for banking behavior.

This study contributes to the knowledge in this area by improving our understanding of liquidity risk management during liquidity stress periods. It analyzes the modified NSFR that was adopted by the IFSB. Besides, this study fills a gap in the literature. Previous studies have used the conventional ratios to determinate the main factors of the maturity transformation risk in a full-fledged Islamic bank based on an early version of NSFR. Finally, most studies focus on the NSFR as proposed by the Basel Committee, whereas the authors investigate the case of the dual-banking system in the emerging economies of seven Arab countries in the MENA region.

The purpose of this paper is to explore the determinants of three different types of bank liquidity: funding liquidity, liquidity creation, and stock liquidity in emerging markets.

It uses an extensive set of data from all the listed banks of Brazil, Russia, India, China, and South Africa, collectively known as the BRICS countries, spanning the period 2002-2014. Multiple linear regression has been used to estimate the coefficients of the determinants.

In case of emerging markets, bank size is not a determinant of different types of liquidity, except funding liquidity. Besides, the recent financial crisis had an impact on funding liquidity as well as “cat nonfat” measure of liquidity creation but it did not affect “cat fat” measure and stock liquidity. The variation in funding liquidity is also explained by the profitability and the riskiness of the bank. Effective interest rate, national savings rate, and inflation rate are also the determinants of funding liquidity. Bank-specific determinants of liquidity creation include bank leverage and profitability, and macroeconomic determinants include stock market index, effective interest rate, and unemployment rate. The variation in stock liquidity of the bank is explained by profitability and price of stocks, trading volume, volatility of stock returns, and percentage change in real gross domestic product. Neither market capitalization nor stock market index is the determinant of stock liquidity of the banks.

This study uses the data from publically listed banks only.

The findings of this study may be used by the policy makers and bank managers in the emerging markets to design better policies and to strengthen the banking system to avoid financial turmoil in future.

Most of the existing studies focus on bank liquidity in developed countries and studies aiming on emerging countries are rare. The existing studies focus more on funding liquidity and liquidity creation but to the best of the authors’ knowledge, none of the studies analyze the determinants of banks’ stock liquidity. So, this study bridges the above mentioned gaps by focusing on bank liquidity in emerging markets, and exploring the determinants of the stock liquidity of the banks.

This paper seeks to explain the possible options detailed in the “Money Market Reform Options” report released by the President's Working Group on Financial Markets on October 21, 2010 for consideration by the Financial Stability Oversight Council (FSOC).

The paper discusses reform options in the areas of: floating net asset values, privately sponsored emergency liquidity vehicles, mandatory redemptions in kind, insurance for money market funds (MMFs), a two‐tier system providing enhanced protections for stable net asset value (“NAV”) MMFs, a two‐tier system reserving stable NAV MMFs solely for institutional investors, regulating stable NAV MMFs as special purpose banks, and enhancing constraints on unregulated MMF substitutes.

The Report concludes that more should be done to address systemic risks presented by MMFs and the structural vulnerabilities of MMFs to runs, and discusses various reform options for the FSOC to consider, but does not recommend any particular reform.

The paper provides expert advice from experienced financial services lawyers.

Capital, risk and liquidity are the vitality of the banking industry, which can improve the efficiency of banking and promote the efficiency of resource allocation. The purpose of this study is to examine how Basel III new liquidity ratios affect bank capital and risk adjustments and how banks respond to the new liquidity rules.

The authors adopted the system generalized method of moments (GMM) to examine how Basel III new liquidity ratios affect bank capital and risk adjustments and how banks respond to the new liquidity rules. Based on the call reports data from banks, GMM was used to test the hypotheses that new liquidity ratios affect bank capital and risk adjustments, as well as how banks respond to the regulation.

The results indicate banks targeted capital, risk and liquidity and simultaneously coordinate short-term adjustments in capital and risk. New liquidity measures enable banks to coordinate risk and liquidity decisions. Short-term adjustments in new liquidity rules inversely impact bank capital. Short-term adjustments in new liquidity rules inversely impact bank capital and capital adjustments adversely affect changes in the liquidity coverage ratio (LCR).

The primary results revealed that Ghanaian banks simultaneously coordinate and target capital, risk exposure and liquidity level. Also, capital adjustments positively influence risk adjustments and vice versa while bidirectional negative coordination exists between bank capital and risk on one hand and liquidity on the other hand. Short-term adjustments in new liquidity rule inversely impact bank capital and capital adjustments adversely affect changes in the LCR. The findings partially confirm the theoretical predictions of Repullo (2005) regarding the negative links between capital, risk and liquidity but the authors have higher capital induces higher risk.

Banks should balance off their targeted risk and liquidity in order not to sacrifice capital accumulation for liquidity.

This research offers new contributions in the research of bank management of capital and liquidity toward banks during a financial crisis from a theoretical perspective and trust management from an applicative perspective.

While previous literature has emphasized the causal relationship from liquidity to capital, the impact of interbank network characteristics on this relationship remains unclear. By applying the interbank network simulation, this paper aims to examine whether the causal relationship between capital and liquidity is influenced by bank positions in the interbank network.

Using the sample of 506 commercial banks established in 28 European countries from 2001 to 2013, the author adopts the generalized method of moments simultaneous equations approach to investigate whether interbank network characteristics influence the causal relationship between bank capital and liquidity.

Drawing on a sample of commercial banks from 28 European countries, this study suggests that the interconnectedness of banks within interbank loan and deposit networks shapes their decisions to establish higher or lower regulatory capital ratios in the face of increased illiquidity. These findings support the implementation of minimum liquidity ratios alongside capital ratios, as advocated by the Basel Committee on Banking Regulation and Supervision. In addition, the paper underscores the importance of regulatory authorities considering the network characteristics of banks in their oversight and decision-making processes.

This paper makes a valuable contribution to the current body of research by examining the influence of interbank network characteristics on the relationship between a bank’s capital and liquidity. The findings provide insights that add to the ongoing discourse on regulatory frameworks and emphasize the necessity of customized approaches that consider the varied interbank network positions of banks.