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This study seeks to answer the question of whether we could use a bank's past financial data to predict the bank failure in 2009 and proposes three new empirical proxies for loan quality (LQ), interest margins (IntMag), and earnings efficiency (OIOE) to forecast bank failure. Using the bank failure list from the Federal Deposit Insurance Corporation (FDIC) database, I match the banks that failed in 2009 with a control sample based on geography, size, the ratio of total loans to total assets, and the age of banks. The model suggested by this paper could predict correctly up to 94.44% (97.15%) for the failure (and non-failure) of banks, with an overall 96.43% prediction accuracy, (p = 0.5). Specifically, the stepwise logistic regression suggests some proxies for capital adequacy, assets/loan risk, profit efficiency, earnings, and liquidity risk to be the predictors of bank failure. These results partially agree with previous studies regarding the importance of certain variables, while offering new findings that the three proposed proxies for LQ, IntMag, and OIOE statistically and economically significantly impact the probability of bank failure. [ABSTRACT FROM AUTHOR]

This paper explores the typologies of risks in the banking sector and examines the strategies employed to mitigate them, with a focus on Azerbaijani banks. The study identifies key risk categories, including credit risk, market risk, liquidity risk, and operational risk, each of which plays a critical role in the financial health and profitability of banks. The research highlights that credit risk, driven by loan defaults, remains the most significant concern for Azerbaijani banks, while market risks, particularly from currency fluctuations, also pose major challenges. Effective risk mitigation strategies, including collateralization and diversified lending practices, are essential to maintaining stability in this emerging market. Additionally, the study emphasizes the importance of integrating modern risk management technologies and adhering to international regulatory standards. Azerbaijani banks that adopt advanced monitoring systems and proactive risk management frameworks demonstrate improved financial performance and resilience in the face of economic volatility. The findings underscore that well-implemented risk management practices are crucial for enhancing profitability and ensuring long-term sustainability in the banking sector. [ABSTRACT FROM AUTHOR]

This study investigated the influence of digital payment systems on banks’ stability by exploring their effect on the Z-score of the Jordanian banking sector during the period from 2004 until 2022. It specifically focused on liquidity risks generated from e-payment transactions and how sufficient capital adequacy ratios enhance banking sector stability over both short-term and long-term periods by standing against sudden volatilities yielded from large amounts of transactions executed through digital payment systems. To achieve this objective, the study utilizes time series dual regression analyses of vector autoregression and vector error correction models on E-views 12 to cover the time variation influences of digital payment on the banking sector Z-score. The regression results indicate varied effects between the benefits and risks of digital payment systems on a bank’s Z-score that influence the immediate sector’s stability, indicating that while digital payment systems can initially hold liquidity risks, leading to short-term instability; the strategic implementation of robust capital adequacy ratio stands as a protective buffer by fostering long-term banking sector resilience. The results also suggest future predictions and insights for financial sector legislators and regulators emphasizing the need for monitoring strategies that stimulate continuous innovations in the digital payment infrastructure while constantly ensuring the stability and resilience of the banking sector. Thus, prudent liquidity management and the reinforcement of capital buffers are encouraged to pilot the dual challenges and opportunities that appeared at the stages of the digital payment process, ultimately guiding the sector toward continuous growth and sustainability. AcknowledgmentThe author is grateful to the Middle East University, Amman, Jordan for the financial support granted to cover the publication fee of this research.

This paper presents a method to identify causal interactions between two time series. The largest eigenvalue follows a Tracy-Widom distribution, derived from a Coulomb gas model. This defines causal interactions as the pushing and pulling of the gas, measurable by the variability of the largest eigenvalue's explanatory power. The hypothesis that this setup applies to time series interactions was validated, with causality inferred from time lags. The standard deviation of the largest eigenvalue's explanatory power in lagged correlation matrices indicated the probability of causal interaction between time series. Contrasting with traditional methods that rely on forecasting or window-based parametric controls, this approach offers a novel definition of causality based on dynamic monitoring of tail events. Experimental validation with controlled trials and historical data shows that this method outperforms Granger's causality test in detecting structural changes in time series. Applications to stock returns and financial market data show the indicator's predictive capabilities regarding average stock return and realized volatility. Further validation with brokerage data confirms its effectiveness in inferring causal relationships in liquidity flows, highlighting its potential for market and liquidity risk management.

Banking and risk are synonymous concepts. The risk concepts for both conventional and Islamic banks are broadly similar, and liquidity risk is among the most important risks that all banks are exposed to. The management process of liquidity risk, which arises when banks do not have enough assets to meet their liabilities at maturity, may differ in conventional and Islamic banks. This study aims to present a comparative analysis of the liquidity determinants of conventional and Islamic banks operating in Turkey. Using the data of 3 Islamic and 17 conventional banks for the period between 2011Q1-2022Q2, the analysis, which also aims to see the short and long-term effects, concludes that the determinants of liquidity risk for conventional and Islamic banks are largely similar. However, the liquidity of Islamic banks is more sensitive to bank-specific variables. The findings showed that Islamic banks, which cannot use all of the conventional liquidity management tools in the liquidity management process for different reasons, have to hold higher liquid assets than conventional banks in the short term, even if they are balanced in the long term.

Abstract This is a pioneering study that undertakes a comparative analysis assessing the annual intermediation efficiency of public versus private banks in Egypt. Moreover, liquidity risk is a major threat facing banks in their efforts to sustain financial stability. Thus, this study is the first to model the determinants of liquidity risk in public and private banks in Egypt while examining the impact of banks’ intermediation efficiencies on their liquidity risk levels. The study employs advanced nonparametric econometric approaches on a sample of Egyptian public and private banks from 2014 to 2022. The data envelopment analysis is used in estimating banks’ intermediation efficiency scores, while the quantile regression analysis is applied to examine the impact of bank intermediation efficiency on liquidity risk under different liquidity risk quantiles. The findings indicate that public banks show consistent superiority in terms of their financial intermediation efficiency levels compared to private banks. Moreover, the paper findings demonstrate the negative significant relationship between bank intermediation efficiency and liquidity risk while highlighting the higher significant positive impact of intermediation efficiency on reducing the liquidity risk of banks that are characterized by undertaking high liquidity risk levels. Furthermore, contrary to general assumptions, this study’s findings demonstrate that the significance of micro- and macro-level determinants of a bank’s liquidity risk is dependent on its prevailing liquidity risk level. Hence, the positive impact of equity capital, asset concentration, size, and growth in gross domestic product and the negative effect of asset quality on bank liquidity risk vary under banks’ different liquidity risk quantiles.

Abstract: This paper analyze/examine different internal and external factors that might influence profitability levels of commercial banks operating in the Egyptian banking sector. A sample of twelve commercial banks were selected; six of them are listed banks and the other six represent non-listed banks covering a time span of eight years starting from 2015 till 2022. In the light of examined literature, determinants of banks profitability were categorized as internal/bank- specific factors and external/industry-specific factors. Results achieved support and contradicts some of examined previous studies, results show significant impact of internal factors such as credit risk (positive), liquidity Risk (negative), earning assets to deposits ratio (negative), operating expense ratio (negative), and capital adequacy ratio (positive) on banks profitability levels represented by ROAA, ROAE, and NIM. Also, findings demonstrate significant impact of such macroeconomic factors as inflation rate (positive), GDP growth rate (positive), real interest rate (positive), and Egyptian banking sector development rate (negative) on Egyptian banks profitability levels.

This study examines the relationship between risk management and performance based on the size of commercial banks in Tanzania. Specifically, the study aims to determine the effect of liquid asset/Total asset ratio on Return on asset (ROA). Data employed were extracted from audited financial statement report. The explanatory variables were liquid asset/Total asset ratio while the dependent variable was financial performance measured by return on asset. Panel data of 23 commercial banks for the period of five years (2017 to 2021) was employed. Fixed and random model was adopted in analyzing the data. Findings highlight that the impact of liquid asset/Total asset on performance varies among commercial banks, with large banks showing insignificant positive relationship, while medium and small banks exhibit weak but significant negative relationship. This implies that maintaining more liquid assets compared to total assets provides a certain level of risk management capability though it may lead to relatively small returns to small and medium commercial banks. As far as large banks are concerned the relationship does not lead low return Therefore, the study recommends that banks should establish optimal size of liquidity to maximize returns and invest excess liquidity in higher-yielding assets or where additional income can be generated without significantly increasing risk. Regulatory authorities may need to consider different liquidity risk management policies depending on the size of the bank, such as tailoring the policies to ensure that the proportion of liquid assets is appropriate and reflect size of the bank. Consequently, it may help small banks and medium avoid excessive liquid assets which can negatively impact their financial performance.

This paper considers the valuation of a vulnerable option when underlying stock is subject to liquidity risks. That is, it is assumed that the underlying stock is not perfectly liquid. We establish a framework where the stock price follows the stochastic volatility model and the option contains the default risk of the option issuer. In addition, we assume that liquidity risks are caused by stochastic market liquidity, and the default occurs at the first jump time of a stochastic Poisson process, which has a stochastic default intensity process consisting of both idiosyncratic and systematic components. By employing a change of measure, we derive an analytical formula for the value of a vulnerable option. Finally, we present several numerical examples to illustrate the sensitivity of significant parameters. [ABSTRACT FROM AUTHOR]

Copyright of Finance & Business Economies Review is the property of Finance & Business Economies Review and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In recent years, investors' increasing focus on sustainable investments and the sustainability orientation of companies has led to parallel growth in the market for environmental, social and governance (ESG) performance and ESG rating agencies. However, even though ESG rating agencies have become very influential institutions, the literature has found that ESG performance ratings provided by different agencies often differ from each other. This causes consequences that should be considered, such as complex evaluation of companies' ESG performance and uncertainty in ESG investment decisions. Therefore, it is necessary to identify which determinants influence ESG performance. This study aims to identify the internal determinants of an ESG score using bank-specific balance sheet indicators such as capital and risk ratios. The analysis focuses on the European banking sector from 2018 to 2022. Banks mainly foster the transition to a more inclusive and sustainable economy. Moreover, after the recent financial crises, banks have increased their social responsibility practices, strengthening their credibility, trust and reputation. Generalised estimating equations with standard error robust to heteroscedasticity were used. The results reveal that the factors that most influence the ESG score provided by ESG rating agencies are bank size and liquidity risk exposure. The larger the size of the bank and the lower the exposure to liquidity risk, the higher the ESG score assigned. [ABSTRACT FROM AUTHOR]

This is a pioneering study that undertakes a comparative analysis assessing the annual intermediation efficiency of public versus private banks in Egypt. Moreover, liquidity risk is a major threat facing banks in their efforts to sustain financial stability. Thus, this study is the first to model the determinants of liquidity risk in public and private banks in Egypt while examining the impact of banks' intermediation efficiencies on their liquidity risk levels. The study employs advanced nonparametric econometric approaches on a sample of Egyptian public and private banks from 2014 to 2022. The data envelopment analysis is used in estimating banks' intermediation efficiency scores, while the quantile regression analysis is applied to examine the impact of bank intermediation efficiency on liquidity risk under different liquidity risk quantiles. The findings indicate that public banks show consistent superiority in terms of their financial intermediation efficiency levels compared to private banks. Moreover, the paper findings demonstrate the negative significant relationship between bank intermediation efficiency and liquidity risk while highlighting the higher significant positive impact of intermediation efficiency on reducing the liquidity risk of banks that are characterized by undertaking high liquidity risk levels. Furthermore, contrary to general assumptions, this study's findings demonstrate that the significance of micro- and macro-level determinants of a bank's liquidity risk is dependent on its prevailing liquidity risk level. Hence, the positive impact of equity capital, asset concentration, size, and growth in gross domestic product and the negative effect of asset quality on bank liquidity risk vary under banks' different liquidity risk quantiles. [ABSTRACT FROM AUTHOR]

Maximising financial performance while maintaining adequate liquidity is a crucial and ongoing challenge for bank management, particularly in emerging markets. This study focuses on the relationship between capital structure and financial performance in Jordanian banks, with the mediating role of liquidity risk. Using panel data from 13 central Jordanian banks over the 2015–2022 period, we employ structural equation modelling (SEM) to analyse how capital structure ratios (equity-to-asset, debt-to-loan, and deposit-to-asset) influence financial performance metrics (return on assets and net income-to-expenditure ratio). Our findings reveal a significant positive association between capital structure and financial performance. However, liquidity risk fully mediates this effect. Capital structure primarily impacts performance by influencing a bank's liquidity risk profile. Furthermore, the strength of this mediating effect is noteworthy—capital structure exhibits a statistically more robust association with liquidity risk than its direct impact on performance. This highlights the crucial role of managing liquidity risk within the complex dynamics of bank operations. This research makes a significant contribution to the existing literature by demonstrating the positive impact of capital structure on performance using the underlying mechanism through which this effect occurs. The insights of this research provide several implications for practice in the context of banking industries. [ABSTRACT FROM AUTHOR]

This study aims to analyze the level of accuracy of financial distress prediction models and to test the ability of liquidity risk ratio, credit risk and capital ratio in predicting the possibility of financial distress in rural banks (BPR) in Indonesia. The data used is sourced from secondary data and collected from BPR's financial statements published on the Financial Services Authority (OJK) website during the 2014-2023 period. The population in this study is all rural banks as many as 1,402 rural banks and the number of samples is 312 rural banks spread throughout Indonesia. Determination of samples by the Slovin method by proportionate stratified random sampling technique. The results of the study that the liquidity risk ratio, credit risk and capital ratio in predicting financial distress can be used with an accuracy rate of 95.90%. Liquidity risk ratio and credit risk ratio have a positive and significant effect, capital ratio and primary ratio have a negative and significant effect, while capital adequacy ratio has a positive and significant effect on the possibility of financial distress in rural banks in Indonesia. [ABSTRACT FROM AUTHOR]

The public's confidence in insurance companies has been damaged by state-owned insurance companies' inability to pay claims. The purpose of this research is to investigate how financial risk affects business performance and how hedge accounting mitigates that influence. This study uses a quantitative approach. The analysis makes use of secondary data from 2019 to 2022 from insurance firms' annual reports. Both moderated regression analysis (MRA) and multiple linear regression analysis are used in this investigation. The findings show that return on assets (ROA) is significantly and negatively impacted by credit risk. Return on assets is unaffected by market, insurance, liquidity, and operational risks. The MRA analysis demonstrates how hedge accounting can increase the impact of risk associated with credit and insurance returns on assets. Hedge accounting, however, has no effect on how much market, operational, and liquidity risk affect return on assets. [ABSTRACT FROM AUTHOR]

Banking and risk are synonymous concepts. The risk concepts for both conventional and Islamic banks are broadly similar, and liquidity risk is among the most important risks that all banks are exposed to. The management process of liquidity risk, which arises when banks do not have enough assets to meet their liabilities at maturity, may differ in conventional and Islamic banks. This study aims to present a comparative analysis of the liquidity determinants of conventional and Islamic banks operating in Turkey. Using the data of 3 Islamic and 17 conventional banks for the period between 2011Q1-2022Q2, the analysis, which also aims to see the short and long-term effects, concludes that the determinants of liquidity risk for conventional and Islamic banks are largely similar. However, the liquidity of Islamic banks is more sensitive to bank-specific variables. The findings showed that Islamic banks, which cannot use all of the conventional liquidity management tools in the liquidity management process for different reasons, have to hold higher liquid assets than conventional banks in the short term, even if they are balanced in the long term. [ABSTRACT FROM AUTHOR]

How do capital controls and banking concentration affect economic development? This paper develops a general equilibrium model to study these important issues. To do so, we construct a framework with heterogeneous agents and imperfectly competitive financial intermediaries who help depositors manage liquidity risk. Importantly, higher levels of concentration raise the cost of domestic borrowing which increase the reliance on international capital markets. Finally, once the rate of money growth is sufficiently high, capital controls bind and the effects of monetary policy on capital formation are more pronounced. [ABSTRACT FROM AUTHOR]

This paper presents a method to identify causal interactions between two time series. The largest eigenvalue follows a Tracy-Widom distribution, derived from a Coulomb gas model. This defines causal interactions as the pushing and pulling of the gas, measurable by the variability of the largest eigenvalue's explanatory power. The hypothesis that this setup applies to time series interactions was validated, with causality inferred from time lags. The standard deviation of the largest eigenvalue's explanatory power in lagged correlation matrices indicated the probability of causal interaction between time series. Contrasting with traditional methods that rely on forecasting or window-based parametric controls, this approach offers a novel definition of causality based on dynamic monitoring of tail events. Experimental validation with controlled trials and historical data shows that this method outperforms Granger's causality test in detecting structural changes in time series. Applications to stock returns and financial market data show the indicator's predictive capabilities regarding average stock return and realized volatility. Further validation with brokerage data confirms its effectiveness in inferring causal relationships in liquidity flows, highlighting its potential for market and liquidity risk management. [ABSTRACT FROM AUTHOR]

This study examines the relationship between risk management and performance based on the size of commercial banks in Tanzania. Specifically, the study aims to determine the effect of liquid asset/Total asset ratio on Return on asset (ROA). Data employed were extracted from audited financial statement report. The explanatory variables were liquid asset/Total asset ratio while the dependent variable was financial performance measured by return on asset. Panel data of 23 commercial banks for the period of five years (2017 to 2021) was employed. Fixed and random model was adopted in analyzing the data. Findings highlight that the impact of liquid asset/Total asset on performance varies among commercial banks, with large banks showing insignificant positive relationship, while medium and small banks exhibit weak but significant negative relationship. This implies that maintaining more liquid assets compared to total assets provides a certain level of risk management capability though it may lead to relatively small returns to small and medium commercial banks. As far as large banks are concerned the relationship does not lead low return Therefore, the study recommends that banks should establish optimal size of liquidity to maximize returns and invest excess liquidity in higher-yielding assets or where additional income can be generated without significantly increasing risk. Regulatory authorities may need to consider different liquidity risk management policies depending on the size of the bank, such as tailoring the policies to ensure that the proportion of liquid assets is appropriate and reflect size of the bank. Consequently, it may help small banks and medium avoid excessive liquid assets which can negatively impact their financial performance. [ABSTRACT FROM AUTHOR]

AbstractThe paper examines how liquidity risk affects the Middle East and North Africa (MENA) bank profitability. Banks need profitability to survive, but liquidity risk measures long-term company health. Through Refinitiv Eikon, quantitative data was collected over 11 years from 2012 to 2022 for 71 MENA banks to support the theoretical study. Return on Equity (ROE), a profitability indicator, is the dependent variable, whereas liquidity risk is the independent variable and controlling for size, loan quality, inflation, gross domestic product, income diversification, operational efficiency, capital adequacy, and growth. This study estimates the impact of liquidity risk on MENA bank profitability using OLS and panel regression (fixed and random effects). Several results were found, such as that bank size, operational efficiency, and non-performing loans negatively affect profitability, suggesting that large banks have higher operating costs and may weaken profitability in MENA. Besides, additional non-performing loans increase the bank’s costs and thus diminish profitability. Also, if the bank has no control over the operational expenses, then this will lead to reduce profitability. Liquidity risk, capital adequacy, income diversification, and growth have a positive significant impact on ROE implying that banks with higher growth opportunities, better capital adequacy ratio, more income sources, and liquidity risk will result in higher profitability as explained by the risk-reward theory. The results are robust and this has been confirmed by applying the Generalized Method of Moments (GMM).

The Covid-19 pandemic drastically changed the world economy, resulting in Indonesia experiencing an economic decline and deflation. The banking industry played a significant role in building the economy, so the financial services authority issued a circular letter regarding the provisions for implementing risk management for conventional rural banks and the new rules for implementing credit restructuring. This study analyzed the impact of credit and liquidity risk of conventional rural banks in the Riau Islands on profitability. Data were extracted from the financial services authority publication report of 42 conventional rural banks in Riau Islands during 2017-2021. The results of panel data analysis with the fixed effect model (FEM) showed that all risks were significantly associated with profitability (ROA), the authors found that the capital adequacy ratio had a positive significance, and the non-performing loan, liquid asset to total asset, loan to deposit ratio, and cash to deposit ratio harmed ROA. The results showed that bank risk management was needed to maintain the profitability of rural banks in Riau Islands Province.

Abstract This study examines whether the type of financial structure in the GCC influences the relationship between liquidity risk and banks’ performance from 2007 to 2021. By employing fixed effects and fully modified ordinary least squares (FMOLS), we find that the impact of liquidity risk on bank profitability differs among bank-based and market-based systems. Specifically, the results show that the profitability of banks operating in bank-based countries is positively influenced by the liquidity risk compared to their counterparts. The study also demonstrates that the global financial crisis increases banks’ profitability in the bank-based financial system. Furthermore, the results show that gross domestic product growth (GDPG) determines banks’ financial profitability in the banks-based market. This study offers some important implications for policymakers to consider the type of financial system to stimulate bank stability.

In recent years, investors have increasingly focused on the environmental, social, and governance (ESG) performance of businesses, driven by the rising importance of social and environmental challenges. This trend highlights the critical role of ESG factors in the financial sector. This study leverages stakeholder theory, risk management theory, and ESG investment theory, utilising financial data and ESG scores from Chinese listed banks to comprehensively analyse ESG elements and examine their impact on the liquidity risk of commercial banks. The results show that: (1) Enhanced ESG performance can mitigate liquidity risk in commercial banks by reducing the proportion of non-performing loans and improving overall financial performance. (2) By standardising and implementing sustainable business practices, ESG elements can improve commercial banks' liquidity management levels and lessen the incidence and effects of liquidity risk. As a result, it is critical to lower banks' liquidity risk and support the long-term growth of commercial banks from five angles: information disclosure, differentiated reform, digital transformation, education and training, and international cooperation. [ABSTRACT FROM AUTHOR]

This paper develops a rigorous model to analyse the market impact of liquidation. Invoking innovative techniques from agent-based simulation, we construct the order book's reaction function to liquidation. A methodology is then developed for establishing the optimal close-out strategy which balances the velocity of positional liquidation with that consequential market reaction function. This model can be used in parallel to more traditional calculations of market volatility to ensure that the overall risk capitalisation of a central clearing counterparty remains robust. In the case of financial markets, agent-based models often seek to account for the so-called stylised facts of financial markets. Stylised facts are simply empirical regularities that appear to be stable across markets and over time. Such facts range from statistical concepts, such as the distribution of returns, to more abstract notions such as stock market bubbles and crashes. [ABSTRACT FROM AUTHOR]

This study examines the balance sheet management governance operating model of selected failed banks from 2007, 2008, 2009 and 2023, with emphasis on the corporate governance structure in place and the position of the asset-liability committee (ALCO), and draws conclusions and recommendations for future policy. All failed sample banks exhibited near-identical governance frameworks for management and oversight of balance sheet risk: namely an ALCO that reported to the senior executive management committee, and was at least two levels, if not three levels, below board level. It is inferred that, as the ultimate responsible and accountable forum for ensuring balance sheet viability and continuing going concern of the bank, the board would benefit from being closer to the balance sheet risk management process. This implies changing the governance structure such that the ALCO is closer to the board itself, and able to provide direct comfort to the board that the bank's capital and liquidity risks are being managed appropriately. The following bank governance measures are recommended, to be imposed by regulatory fiat if necessary: • Direct delegated authority of the ALCO to manage the balance sheet, from a long-term robustness and viability perspective, directly on behalf of the board. • The ALCO to report directly to the board, rather than via the executive management committee (or as an alternative approach, changed to become a sub-committee of the board). This recognises that the asset-liability management (ALM) discipline is at least as important as, if not more important than, the 'audit' oversight function undertaken by the board audit committee. • Technical expertise at ALCO and board level that is capable of discerning the genuine capital and liquidity risk exposure position of the bank, on a medium-term forward-looking basis, at all times. [ABSTRACT FROM AUTHOR]

This study examines whether the type of financial structure in the GCC influences the relationship between liquidity risk and banks' performance from 2007 to 2021. By employing fixed effects and fully modified ordinary least squares (FMOLS), we find that the impact of liquidity risk on bank profitability differs among bank-based and market-based systems. Specifically, the results show that the profitability of banks operating in bank-based countries is positively influenced by the liquidity risk compared to their counterparts. The study also demonstrates that the global financial crisis increases banks' profitability in the bank-based financial system. Furthermore, the results show that gross domestic product growth (GDPG) determines banks' financial profitability in the banks-based market. This study offers some important implications for policymakers to consider the type of financial system to stimulate bank stability. [ABSTRACT FROM AUTHOR]

The transition from term-based reference rates to overnight reference rates has created a dislocation in the market-making processes between the interbank and non-interbank funding, and their respective derivatives markets. This dislocation can be attributed to differences in funding and corresponding interest rate swap transactions, a thesis we explain and characterize in detail. It is then shown how this dislocation may be resolved. Based on a systemic perspective of a stylized financial system, an aggregated banking system is constructed that is void of idiosyncratic credit risks but still vulnerable to liquidity risks. Within this setup, a mathematical modeling framework for term-cognizant interest rate systems is derived that enables the pricing and valuation of bank term funding and associated derivatives transactions with varying liquidity characteristics. Other outcomes include: (i) a detailed analysis of the incomplete market paradigm that encapsulates bank term funding rates and the risk management processes involved therein; and (ii) a recovery of consistency in the pricing and valuation between funding and related interest rate swap transactions, along with a mechanism to exchange term risk. [ABSTRACT FROM AUTHOR]

We consider a financial market with zero-coupon bonds that are exposed to credit and liquidity risk. We revisit the famous Jarrow & Turnbull (1995) setting in order to account for these two intricately intertwined risk types. We utilize the foreign exchange analogy that interprets defaultable zero-coupon bonds as a conversion of nondefaultable foreign counterparts. The relevant exchange rate is only partially observable in the market filtration, which leads us naturally to an application of the concept of platonic financial markets as introduced by Cuchiero et al. (2020). We provide an example of tractable term structure models that are driven by a two-dimensional affine jump diffusion. Furthermore, we derive explicit valuation formulae for marketable products, e.g. for credit default swaps. [ABSTRACT FROM AUTHOR]

The policies used by governments in emerging and developing economies during the financial transition have always faced the question of what impact the central bank's interventionist monetary and currency policies have had on banks' risk-taking. In this research, the impact of monetary and foreign exchange policy on the risk-taking of commercial banks was investigated, and in this way, a sample consisting of 15 stock-exchange banks from 1386 to 1400 was investigated using the quintile regression method and the state space method. The estimation results showed that monetary and currency policies have a positive relationship with liquidity risk. In addition, the findings showed that with the beginning of sanctions, the liquidity risk of banks has increased and the impact of monetary and currency policies on larger banks has increased. Therefore, small banks are less likely to go bankrupt compared to large banks. [ABSTRACT FROM AUTHOR]

Copyright of Latin American Journal of Economic Developement (LAJED) is the property of Universidad Catolica Boliviana San Pablo and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Research in Humanities is the property of Tarbiat Modares University Press and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The recent asset pricing evidence on the return-liquidity risk relationship is mixed and somewhat ambiguous. We reevaluate the importance of market-wide liquidity and liquidity risk for equity pricing by taking the role of investor sentiment into account. Regarding the market-wide liquidity level as a systematic factor, we find that high market sentiment tends to weaken the effect of market-wide illiquidity - both expected and unexpected - on stocks returns. With respect to systematic liquidity exposure as a priced risk factor, the results show that the effect of exposure to shocks in aggregate liquidity on expected returns is significantly positive when sentiment is low, while it is significantly negative when sentiment is high suggesting that "rational" asset pricing is only valid in the low sentiment regime without too much turbulence caused by sentiment traders. [ABSTRACT FROM AUTHOR]

Sharia Commercial Banks in Indonesia are experiencing rapid growth, as can be seen from the significant increase in sharia banking assets. As a result, Sharia Commercial Banks need to ensure bank liquidity is well maintained. This research evaluates the influence of liquidity and macroeconomic factors on the profitability of Sharia Commercial Banks. This research uses quarterly financial report data from 13 Sharia Commercial Banks during the 2018-2022 period. Sampling technique that used in this research was purposive sampling. The analysis method used is panel data regression. The research results show that the LATA and INF variables have a significant positive influence on ROA, while the CUR variable has a significant negative influence on ROA. Meanwhile, the LATD, FDR and GDP variables do not have a significant influence on ROA. Keywords: Sharia Commercial Banks; Liquidity Risk; Macroeconomics; Bank Profitability