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The current study aims to analyze the linkage among bank competition, liquidity and loan price in an interconnected bank network system.

The study employs the Lerner index to estimate bank power; Granger non-causality for estimating competition, liquidity and loan price network structure; principal component for developing competition network index, liquidity network index and price network index; and panel VAR and LASSO-VAR for analyzing the dynamics of interactive network effect. Current work considers 33 Indian banks, and the duration of the study is from 2010 to 2020.

Network structures are concentrated during the economic upcycle and dispersed during the economic downcycle. A significant interaction among bank competition, liquidity and loan price networks exists in the Indian banking system.

The study meaningfully contributes to the existing literature by adding new insights concerning the interrelationship between bank competition, loan price and bank liquidity networks. While enhancing competition in the banking system, the regulator should also pay attention toward making liquidity provisions. The interactive network framework provides direction to the regulator to formulate appropriate policies for managing competition and liquidity while ensuring the solvency and stability of the banking system.

The study contributes to the limited literature concerning interactive relationship among bank competition, liquidity and loan price in the Indian banks.

Keeping in view the robust growth of Islamic banking around the globe, this study aims to comparatively analyze the association between liquidity creation and liquidity risk for Islamic banks (IBANs) and conventional banks (CBANs) in Pakistan and Malaysia over a period of 2004–2021. The moderating role of bank loan concentration on the aforementioned relationship is also studied.

Regression estimation methods such as fixed effect, random effect and generalized least square are deployed for obtaining results. Liquidity creation Burger Bouwman measure (cat fat and noncat fat) and Basel-III liquidity risk measure (liquidity coverage ratio) are also used.

The results give us insight that liquidity creation is positively and significantly related to liquidity risk in both IBANs and CBANs of Pakistan and Malaysia. This relationship has been moderated negatively (reversed) and significantly by credit concentration showing the importance of risk management and loan portfolio concentration.

It is analyzed that during the process of liquidity creation, IBANs in Pakistan faced more liquidity risk for both on and off-balance sheet transactions in the presence of moderation of loan concentration than IBANs in Malaysia necessitating strategic policy-making for important aspects of liquidity risk management and loan concentration while creating liquidity.

Such studies comparing IBANs and CBANs comparison keeping in view liquidity creation, liquidity risk and loan concentration are either limited or nonexistent.

The purpose of this paper is to assess liquidity risk management (LRM) practices in Indonesian Islamic banking industry during the period 2000‐2007.

The paper constructs the LRM index (100 scale) which is composed of individual index of asset side; liability side; LRM policies; and the overall LRM index.

The index produces a “good” grade for the liquidity management practices in the Indonesian Islamic banking industry, represented by three Islamic banks which capture 82 percent of the total market share of the industry. However, the breakdown of the index of every Islamic bank suggests various achievements.

It is found that the practices of LRM are not optimal yet based on some considerations explained in this paper. Further progressive actions have to be taken by the regulators and all industry's players to improve the LRM practices.

To the best of the author's knowledge, this is the first paper trying to assess how good the LRM in Indonesian Islamic banking is.

This chapter aims to examine the position of the banking system and the effect of the COVID-19 pandemic on bank liquidity in six Western Balkan Countries. We aim to analyse the current financial parameters of the banking system to determine the impact of the pandemic’s various risks on the banking liquidity stability in response to the capital reserves of central banks of the respective countries. This chapter deals with cross-country comparison analysis of how the government responded including fiscal stimulus packages to prevent the financial downturn and the impact on liquidity retention. The methodology is based on a comparative data analysis using primary and secondary sources. Although it is too early to have full evidence of the depth of the pandemic impact, the findings show that because of the immediate actions undertaken by the liquidity management of each country and also as a result of the favourable liquidity position before the pandemic Crisis, the banking sector had sufficient reserves to overcome the risk of crisis. Moreover, all six Balkan Countries have adapted the regulatory framework in line with international emergency measures to maintain financial stability. The measures and instruments implemented by countries have generally complied with the Basel Committee’s instructions. The measures and instruments implemented by countries have generally complied with the Basel Committee’s instructions.

The paper aims to test the effect of liquidity creation on profitability and stability with the moderating role of political instability and its level of implication on the overall banking sector of Pakistan.

This study uses the panel data estimation technique, including fixed- and random-effect model, by taking sample data of 28 banks of Pakistan that are providing their services from 2006 to 2019. Moreover, this study uses the Genreralized Method of Moments (GMM) estimation technique to check the robustness of the results.

The empirical outcomes of this study found a negative relationship of liquidity creation with profitability meanwhile positive relation with banking stability. However, this study shows a negative relation of political instability with liquidity creation, profitability and stability of overall banks of Pakistan.

The findings of this paper recommended the vital role of liquidity creation in the profitability and stability of banks, especially in the decision-making process of the investors and bank managers, and how it is affected strongly in the presence of an unstable political situation. These findings may be helpful for policymakers to devise appropriate policies to maintain a fair field between state authority and financial institutions and also assist in formulating strategies to strengthen the banking sector of Pakistan to avoid financial turmoil in the future.

As per the knowledge of the authors, this study is the first contribution to examine the moderating effect of political instability on liquidity creation, profitability and stability of the overall banking sector of Pakistan.

This paper aims to identify and analyze the similarities and differences of the liquidity risk determinants within conventional and Islamic banks.

This study uses a dynamic panel data approach to examine the relationship between liquidity risk and a set of bank-specific and macroeconomic factors during 2005–2015, by selecting 27 Islamic banks and 49 conventional ones operating in the MENA region. More specifically, the dynamic two-step generalized method of moment estimator technique introduced by Arellano and Bond (1991) is applied.

The results suggest that the set of bank-specific variables influences the liquidity risk of both banking systems, while macroeconomic factors determine the liquidity risk of conventional banks. Islamic banks are not affected by macroeconomic determinants.

The research facilitates to the academicians, practitioners and bankers to have an alluded picture about liquidity risk determinants and their management. The findings can be used by bankers’ policy decision-makers to improve and enhance their consideration for liquidity risk management in both banking systems. Indeed, the study makes them aware to manage liquidity risk differently between conventional and Islamic banks, as the results reveal different liquidity risk determinants.

Compared to the abundant studies on the determinants of credit risk, researchers have not sufficiently addressed the factors influencing liquidity risk. Moreover, none of these few research studies has discussed and compared liquidity risk determinants within both banking systems operating in the Middle East and North Africa (MENA) region. This leads us to identify the similarities and differences between conventional and Islamic banks in the MENA region in respect of systematic and unsystematic determinants of the liquidity risk. The value is attributed to the increasing differentiation between Islamic and conventional banks. Islamic banks are characterized with a different liquidity structure distinguishing them from their conventional counterparts.

Purpose – This chapter compares the stability of the U.S. Dual Banking system's two bank groups, national and state banks, in light of the current financial crisis. The goal of the chapter is to answer three distinct questions: first, is there a difference in the (balance sheet) fragility between the two groups and, second, to what extent has the balance sheet fragility of both groups changed after the escalation of the financial crisis beginning in August 2007? Building on that, the third question asks to whether or not the respective regulatory agencies of both bank groups are responsible for these changes in balance sheet fragility in light of the financial crisis.

Methodology – To answer these questions the chapter uses U.S. Call Report data containing full quarterly balance sheets and P&Ls of all U.S. commercial banks over the period 2005–2008. Anecdotal evidence as well as univariate and multivariate difference-in-difference methodology focusing on the immediate pre-crisis period Q1/2005–Q3/2007 and the crisis period Q3/2007–Q4/2008 are applied.

Results – Highly significant and robust results show that, ceteris paribus, national banks reduced their potential balance sheet fragility after the escalation of the crisis in August 2007 by reducing lending and liquidity creation stronger than state banks. Anecdotal evidence supports the empirical findings. Although both FDIC and OCC did not anticipate the adverse effects of the crisis, the OCC publicly showed an earlier reaction to liquidity-related problems than the FDIC.

Originality – The chapter is the first of its kind to analyze bank fragility around the escalation of the financial crisis and the role of the regulatory agencies. The chapter holds especially interesting policy implications in the light of the current discussion about the future regulation of the banking markets.

The paper empirically investigates the link between banking market structure and funding liquidity risk.

With a panel of Vietnamese commercial banks from 2007 to 2021, the system generalized method of moments (GMM) estimator is applied as the primary regression method, while the random-effect model and the corrected least square dummy variable (LSDVC) technique are also considered in robustness checks.

Competition may increase banks' funding liquidity risk. This finding holds for competition measures derived from the Boone index and concentration ratios but not in the case of the Lerner index as a proxy for market power. Further results indicate that the funding liquidity risk of banks that are larger and have better performance (less credit risk and higher return) tends to be less affected by competition. Besides, the overall impact of bank competition on funding liquidity risk is amplified by the financial crisis and the COVID-19 pandemic.

The study extends the empirical literature by exploring the relationship between bank competition and funding liquidity risk. Additionally, the paper also studies how the impact of bank competition on funding liquidity risk depends on the characteristics of the banking sector and the macroeconomic conditions of the economy, including the moderating effect of the COVID-19 pandemic.