Search results

This study aims to investigate the relationship among liquidity, information asymmetry and political risk for non-US stocks listed on the NYSE. Additionally, the study aims to explore the impact of political tension on market quality.

This research adopts a quantitative methodology to examine the interplay between liquidity, information asymmetry and political risk in non-US stocks on the NYSE. A comprehensive analysis encompasses stocks from countries with varying political risk levels, demonstrating a correlation between lower political risk and improved market quality. In assessing the impact of US–China trade conflicts on Chinese stocks, political shocks are scrutinized. Results indicate that heightened political tension exacerbates information asymmetry and diminishes market liquidity, underscoring the susceptibility of stocks in politically strained environments to adverse shocks.

Non-US stocks from countries with lower political risk show higher liquidity and market efficiency, with narrower bid-ask spreads and smaller price impacts of trades. These stocks also demonstrate a higher market quality index, indicating improved overall market performance. In addition, during periods of escalated US –China political tension over trade policy, the liquidity of non-US stocks from China worsens, leading to wider bid-ask spreads and increased information asymmetry.

This study provides novel insights into the impact of political risk on stock market dynamics for non-US stocks listed on the NYSE, with a particular emphasis on the US –China trade conflict's effect on Chinese stocks.

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.

This study aims to investigate the dynamic relationships between profitability, credit risk, liquidity risk and capital in Indonesian banking industry.

The authors use a panel vector autoregression model that incorporates macroeconomic variables: growth, interest rate, foreign exchange. The analysis is based on a monthly panel data set of 88 banks spanning from January 2012 to September 2021, which comprises 10,296 bank-month observations.

Our key findings highlight (i) permanent credit cost and liquidity cost pass through practices, (ii) complementary function of liquidity and capital, (iii) earning management motivated asset write off and (iv) credit risk-liquidity risk neutrality. In addition, the authors observe that the banks demonstrated resilience to macroeconomic shocks.

Our study have shown some interesting dynamic patterns of fundamentals; nevertheless, unified theoretical underpinning of the process is still unavailable. This should be an important future reasearch avenue.

The study brings significant implications for regulatory and supervisory practices aimed at enhancing the financial stability of banks.

We conduct estimation of Indonesian banks system in dynamic perspective and perform impulses responses.

Commercial banks face several risks, including credit, liquidity, operational and disruptive risks. In addition to these risks that are challenging for banks to control and manage, crises and disasters can exert substantially more destructive shocks. These shocks can exacerbate internal risks and cause severe damage to the bank's performance, leading banks to bankruptcy and closure. This study aims to facilitate achieving resilient banking policies through a model-based assessment of business continuity management (BCM) policies.

By applying a system dynamics (SD) methodology, a systemic model that includes a causal structure of the banking business is presented. To build a simulation model, data are collected from a commercial bank in Iran. By presenting the simulation model of the bank's business, the consequences of some given crises on the bank's performance are tested, and the effectiveness of risk and crisis management policies is evaluated. Vensim Personal Learning Edition (PLE) software is used to construct the simulation model.

Results indicate that the current BCM policies do not show appropriate resilience in the face of various crises. Commercial banks cannot create sustainable value for the banks' shareholders despite the possibility of profitability, as the shareholders lack adequate resilience and soundness. These commercial banks do not have the appropriate resilience for the next pandemic after coronavirus disease 2019 (COVID-19). Moreover, the robustness of the current banking business model is very fragile for the banking run crisis.

A forward-looking view of resilient banking can be obtained by combining liquidity coverage, stable funding, capital adequacy and insights from stress tests. Resilient banking requires a balanced combination of robustness, soundness and profitability.

The present study is a combination of bank business management, risk and resilience management and SD simulation. This approach can analyze and simulate the dynamics of bank resilience. Additionally, present of a decision support system (DSS) to analyze and simulate the outcomes of different crisis management policies and solutions is an innovative approach to developing effective and resilient banking policies.

The purpose of this article is to determine the regional economic factors and bank characteristics that significantly contribute to changes in bank liquidity. We also seek to identify regions that may be most susceptible to liquidity tightening.

For this article we use data on deposits from commercial banks, Federal Reserve survey data and indicators of regional and agricultural economic conditions. We specify a panel regression with fixed effects to model how liquidity at agricultural banks has changed and to identify the most significant drivers.

Our results suggest that small banks and banks with branch networks located in areas more concentrated in agricultural production bear the greatest risk of reduced liquidity.

Prior to the pandemic and more recently, lower deposit growth, combined with strong demand for agricultural loans, has led to reductions in liquidity at agricultural banks. Lower liquidity could reduce credit availability for farm borrowers and increase risks for banks that must rely on alternative sources of funding to meet loan demand.

Previous research has shown that exogenous shocks from other economic sectors, such as energy, can significantly affect bank liquidity, but research is limited on how agricultural bank liquidity is affected by downturns in the agricultural economy and other regional economic factors. Another contribution is this paper’s analysis of regional disparities in bank liquidity.

The study examines the relationship between news intensity, media sentiment and market microstructure invariance-implied measures of trading activity and liquidity of Chinese property developer stocks during the 2020–2022 Chinese property sector crisis.

The authors adopt the extension of the news article invariance hypothesis, which is a generalization of the market microstructure invariance conjecture, from January 2020 to January 2022 to test specific quantitative relationships between the arrival rate of public information, trading activity and a nonlinear function of a proxy for the probability of informed trading. Empirical tests are based on a dataset of 22,412 firm-day observations and two count-data models to correct for overdispersion and the excess number of zeros. Seventy-five stocks of Chinese companies from the property development industry (including the China Evergrande Group) were included in the sample.

The authors reject the news article invariance hypothesis but document a positive and significant relationship between the flow of public information and risk liquidity. Additionally, the authors find that the proxy for informed trading activity is positively related to the arrival rates of public information from October 2021 to January 2022.

The findings support the hypothesis that negative (positive) media sentiment induces significant deterioration (insignificant improvement) in stock liquidity. The authors find that an increase in the number of news articles about a company corresponds to a higher liquidity of Chinese property developers' stocks after controlling for media sentiment.

The aim of this paper has twofold: (1) to explain and compare the financial evolution of Islamic and conventional banking sector in the Gulf Cooperative Council (GCC) countries before and during the COVID-19 pandemic and (2) to explore the key success factors that might affect Islamic and conventional banks performance before and mainly during COVID-19 pandemic period.

Orbis Bank Focus database and annual financial reports are used to collect financial information of Islamic and conventional banks in GCC countries over four years: 2017, 2018, 2019 and 2020. Descriptive statistics, T-test, multiple regression, and 2SLS and GMM models are employed to analyze the financial structure and performance of Islamic and conventional banks before and during the COVID-19 pandemic period.

Results of this study reveal that (1) there is a significant difference between Islamic banks and conventional banks during the crisis of COVID-19, where the conventional banks have presented a higher level of financial performance and financial liquidity than their Islamic counterparts, (2) conventional banks have revealed higher capacity to manage their financial risk during the crisis period, and (3) a high level of non-performing loan, high inflation rate and high percentage of non-important cost have a negative impact on the financial performance of Islamic banks mainly during the pandemic period of COVID-19. However, the result indicates that a high level of liquidity risk increased the performance of Islamic banks but this impact falls sharply during the pandemic period.

This study provides information that supports investors, regulators and executive managers in GCC countries. A well-structured balance sheet would improve the financial performance and risk management of the banking sector in GCC countries, especially in times of crisis and pandemics.

A host of studies have assessed the determinants of bank liquidity creation, highlighting the relevance of macroeconomic and microeconomic factors. However, whether and how social unrest impacts bank liquidity creation remains a moot issue. To inform this debate, this study aims to exploit bank-level data for Middle East and North Africa (MENA) countries covering the period 2010–2019 to assess the interlinkage between social unrest and bank liquidity creation.

In view of the staggered inception of social unrest across MENA countries, the author uses a difference-in-differences specification to tease out the causal impact.

The findings reveal that the Arab Spring improves liquidity creation after onboarding after confounding factors. This impact differs across conventional and Islamic banks and differs across asset side (market) and liability side (funding) liquidity creation. The evidence also underscores the positive real effects of such liquidity creation on real economic output.

This is one of the early studies exploiting a large sample of MENA banks to examine this issue in a systematic manner.

The study examines whether the Basel-III regulations impact the financial performance, operational efficiency and resilience of Indian banks. Further, the study tests whether there is a variance in the impact between private- and public-sector banks.

The study uses panel data regression on data from 16 private- and 12 public-sector banks from the years 2016–2022. Random-effect estimation is used, and robust standard errors are calculated.

The main findings indicate that the Basel-III regulations related to capital and leverage boost public-sector banks' financial performance and resilience. However, a similar impact is not detected in the case of private-sector banks.

The findings signify that the Basel-III framework does not address the differences between public and private-sector banks. Therefore, the policy implications are of practical importance and indicate that Basel-III regulations should not be considered a one-size-fits-all type of bank. Instead, policymakers should consider the structural differences between private and public-sector banks concerning Basel-III regulations.

The study addresses a significant limitation of the Basel-III regulations, which, in their current state, somehow fail to account for the differences between the public- and private-sector banks.

This study strives to examine the relationship between bank capital and bank liquidity level considering the joint determination of both variables pointed out in the related literature. The evidence is from the Gulf Cooperation Council (GCC) countries: Saudi Arabia, Kuwait, the United Arab Emirates, Qatar, Bahrain and Oman. The theory of banking postulates that bank capital and bank liquidity are interrelated through various links. The study conjectures that large GCC banks do not have a concern with respect to liquidity due to the implicit guarantee of GCC wealthy governments to bank deposits.

The study sample is comprised of all chartered GCC conventional and Islamic banks. The study employs several on-balance sheet ratios to proxy for bank capital and liquidity as defined in the banking literature. It also employs a related econometric model that considers the simultaneity issue pointed out in the related literature.

The results of the study reveal that GCC banks react positively when facing illiquidity by strengthening their capital ratio. Further analysis reveals that only small GCC banks (conventional and Islamic) tend to increase their capital levels when facing a liquidity shortage, which confirms the study conjecture that larger GCC banks have no credible concern about their liquidity position. Employing an alternative measure of liquidity does not change the results. This finding supports the financial fragility structure and the crowding out of deposits hypotheses.

The study contributes to the literature by employing a novel estimation approach to explore the difference in results as the sample banks represent two banking regimes, the conventional banks as well as the Islamic banks. Also, the study implicitly suggests that further research in this area could support the need to impose minimum and globally uninformed liquidity standards on banks.