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This study aims to examine the impact of market competition, and capital regulation on the cost of financial intermediation of banks of the Bangladesh banking industry.

This study has used a balanced panel dataset comprised of 340 firm-year observations for 34 commercial banks in the Bangladesh banking industry from 2011 to 2020. The Prais Winsten panel estimator has been used to assess the impact of market competition and capital regulation on the cost of financial intermediation of banks.

Based on the regression results, this study has documented that greater market competition results in a lower cost of financial intermediation for banks. Similarly, an increase in the regulatory capital of banks increases the cost of financial intermediation of banks. The main findings of this study are found robust by using alternative proxies for the cost of financial intermediation, market competition and capital regulation. The regression results also suggest that private commercial banks tend to have a higher cost of financial intermediation than state-owned commercial banks.

The regulatory reforms should aim to foster sustainable and optimal market competition for the Bangladesh banking industry to regulate the market power of banks to reduce the cost of financial intermediation. The regulatory authority of Bangladesh should find the optimal policy measures for implementing the capital regulation in the banking industry which would reduce the cost of financial intermediation margin of banks.

Unlike previous studies which have used structural market competition measures, this study has used non-structural market competition measures to assess the relationship between market competition and cost of financial intermediation in the Bangladesh banking industry.

The purpose of this paper is to examine the impact of trade openness on the cost of financial intermediation and bank performance. Developed and developing countries are currently pursuing trade openness to achieve higher bank performance with less intermediation costs.

In attaining the study's objectives, several regression methodologies were employed (i.e. system generalized method of moments (GMM), fixed effect, pooled ordinary least squares (OLS) and vector error correction model (VECM)). The authors tested the hypothesis on data of 885 banks from BRICS countries, which span 18 years (2000–2017).

The results from this robust study showed that embedding higher trade openness reduces financial intermediation costs and improves banks' performance. The results remain robust following the use of different estimation methods and alternative variables as proxies. In addition, results were still valid upon considering bank level, industry level and country level as control variables. It was also observed that the relation pattern holds its rigidity during “good” and “bad” times (i.e. the global financial crisis).

The results provide better references for bank regulators, academics and policymakers to take advantage of the low financial intermediation costs resulting from trade openness.

The purpose of this paper is to analyze the macroeconomic significance of transaction costs in microfinance intermediation and explain how the deposit mobilization and micro lending impact the microfinance transaction costs. It presents some empirical evidence as building blocks for the theory of financial intermediation that aims at strengthening the efficiency of financial intermediation in the context of preferential credit and or the microfinance sector.

The study uses the panel data consisting of different groups of banks in India (such as public sector banks, private banks and foreign banks) data across a period from March 1993 to March 2009 to estimate the panel VAR model to determine the determinants of transaction cost model in financial intermediation. The study also uses the panel Granger causality analysis to test the direction of causation to know the behavior of the operating expense of the banks in their financial intermediation process.

The study reveals that there is a positive direct relationship between operating expense and priority sector lending by banks. The findings show that the transaction costs act as a barrier for the banking firms in microfinance intermediation; and, the banks are able to manage the transaction costs of microfinance intermediation with an increase in overall deposit mobilization and increased non-microfinance lending. The study recommends that there is a need to upscale the functional efficiency of microfinance intermediaries.

This study offers to bridge the research gap and adds novel information to the literature on microfinance intermediation. It is the first empirical paper showing the macroeconomic significance of transaction costs in microfinance intermediation.

Asymmetric information impedes the efficiency of financial intermediation by widening the gap between lending and deposit rates. The cost of information gathering is high and often translates into high borrowing costs. Consequently, high borrowing costs may make it hard for borrowers to repay loans and increase the volume of non-performing loans – a recipe for financial instability. This study first compares the application of the simple GARCH (1,1) and BGARCH (1,1,1) models in the estimation of macroeconomic volatility and finds that the latter is more suitable for this purpose. Moreover, the choice of BGARCH (1,1,1) over the simple GARCH (1,1) implies different outcomes for Granger causality tests. This finding implies that the BGARCH (1,1,1) model minimises loss of important information when estimating macroeconomic volatility in developing countries. Second, the study uses bootstrap panel Granger causality to test the hypothesis that there is a causal relationship between financial instability and the financial intermediation spread in Southern African Customs Union (SACU). The findings support this hypothesis and underscore the importance of implementing sound macroeconomic policies for high and stable growth as well as effective monetary policy to attain and maintain low and stable prices in order to narrow the financial intermediation spread in SACU. The paper aims to discuss these issues.

This study uses bootstrap panel Granger causality to test the hypothesis that there is a causal relationship between financial instability and the financial intermediation spread in SACU.

The findings support this hypothesis and underscore the importance of implementing sound macroeconomic policies for high and stable growth as well as effective monetary policy to attain and maintain low and stable prices in order to narrow the financial intermediation spread in SACU.

Application of panel bootstrap Granger causality test to test for a casual relationship between financial intermediation spread and financial stability in the context of SACU.

This study aims to examine the effect of private (PRST) and public (PUST) sector-led financial sector transparencies on bank interest margins (BIM) termed as social cost of financial intermediation in different institutional quality setups.

This study uses a two-step dynamic generalized method of moments panel data and bootstrapped quantile models with 91 economies between 2004 and 2016. Data is sourced from World Development Indicator and Global Development Finance databases.

The results show that under strong and weak political and financial regulatory institutional setups, the reducing effect of PRST on BIM are observed and reported while the full sample reports no significant nexus between PRST and PUST on BIM. Furthermore, under political institutional quality sample, economies with strong corruption control and regulatory quality are able to reinforce the dampening effect of PRST on BIM while under the same political institutional quality sample, economies with weak rule of law are able to heighten the reducing effect of PRST on BIM. Moreover, under financial regulator institutional quality sample, economies with strong overall weighted and unweighted, chief executive officer and policy dependent central banks are able to intensify the diminishing effect of PRST on BIM while under the same financial regulator institutional quality sample, economies with weak limits on lending are able to amplify the reducing effect of PRST on BIM. However, PUST is reported to propel lower levels BIM in the bootstrap models, especially in strong institutional economies.

These findings imply that policymakers may rely on PRST to reduce BIM, especially under financial regulatory institutional quality. Additionally, economies must be careful on their reliance on PRST because the effectiveness of PRST to tame high BIM is dependent on the strength of political and financial regulatory institutions.

To the best of the authors’ knowledge, this study presents first time international evidence on the effect of private and public sector-led financial transparency on BIM in strong and weak political and financial regulatory institution economies.

Using bank-level data over the 1994–2015 period, the authors aim to investigate the role of bank-specific factors on credit risk in Italy by considering two different groups of banks, namely, cooperative and non-cooperative (commercial and popular), in different local markets.

Relying on highly territorially disaggregated data at labour market areas’ level, the authors estimate the impact of the role of bank-specific factors on credit risk in Italy from the estimation of a fixed-effect estimator. Non-performing loans to total loans has been used as a proxy of credit risk; the bank-specific factors are as follows: growth of loans, reflecting credit policy; log of total assets, controlling for banks’ size; loans to total assets, reflecting the volume of credit market; equity to total assets, capturing the solvency of banks and reflecting their capital strength; return on assets, reflecting the profitability of banks; deposits to loans, reflecting the intermediation cost; cost of total assets, reflecting the banks’ efficiency or volume of intermediation cost.

The empirical findings suggest that regulatory credit policy, capitalisation, volume of credit and volume of intermediation costs are the main bank-specific factors affecting non-performing loans. Nevertheless, the present analysis suggests that the behaviour of cooperative banks’ behaviour seems to be in line with that of commercial rather than popular banks, casting doubts about the feasibility of their credit policies. It turns out that recent reforms involving popular and cooperative banks represent the first step toward the enhancement of the stability and efficiency of the Italian banking system. While the present study’s benchmark results are not particularly affected by the degree of competition in the banking sector and by banks’ size, it shows that both cooperative and non-cooperative banks have undertaken more prudent credit policies after the advent of the financial crisis and the introduction of the Basel regulation.

The relationship between bank-specific factors and credit risk has been analysed using a rich sample of cooperative, commercial and popular banks in Italy over the 1994–2015 period. The authors rely on labour market areas being sub-regional geographical areas where the bulk of the labour force lives and works. The contribution is motivated by the financial distress experienced after the 2008 financial crisis, which has significantly hit the Italian banking system and cooperative banks in particular.

The purpose of this paper is to analyze the impact of the cost of microfinance intermediation on borrowers’ loan size. The identified transaction cost and credit risk factors tell about what a lender takes into accounts while screening and allocating loan amounts to the borrowers, where the lender has limited information about the client’s ability to repay.

The analysis is based on the primary data collected from a sample of 498 microfinance institutions (MFI) linked group clients covering two microfinance leading states of India.

Empirical findings suggest that the cost of microfinance intermediation has an impact on borrowers’ loan size. To reduce the cost, the MFIs lend big loans to clients having a high income, assets, land size, lower informal borrowings and having longer loan experiences. In MFI lending, the younger and less educated people are the ones who demand bigger loan amounts. The geographical distance of borrowers’ location from MFI offices, group size and interest rate are the other factors that influence the loan size.

The past empirical works seem to have not focused on how the cost of microfinance intermediation creates loan size variation among the borrowers in joint liability group lending. The endogeneity problem has not been resolved. The present article thus identifies the factors that influence the individual member loan size by using two-stage least squared regression to tackle the issue of endogeneity.

The distinctive feature of Islamic financial intermediation is its foundation on profit-and-loss sharing which reinforces solidarity and fraternity between partners. Thus, the bank margin and its determinants may differ between Islamic and conventional banks (CBs). The purpose of this paper is to empirically assess the main factors that explain the bank margin in a panel of Islamic and CBs operating in the Middle East and North Africa (MENA) region. This study will permit to identify the common and the specific determinants of the intermediation margins in dual banking systems.

The authors use a dynamic panel approach. The empirical analysis is carried out for a sample of 50 Islamic banks (IBs) and 126 CBs from 14 MENA countries.

The results reveal that net profit margins of IBs may be explained for the most part by risk aversion, inefficiency, diversification and economic conditions. With regard to CBs, their margins depend positively on market concentration and risk aversion and negatively on specialization, diversification, inefficiency and liquidity.

The significant impact of the degree of diversification on margins suggests that any policy analysis of the pricing behavior of banks should rely on its whole output. The high levels of margins in Islamic and CBs based in the MENA region may represent an obstacle to these countries to pursue their development process. Thus, policy makers in these countries should consolidate the role of capital markets and nonbanking financial institutions to provide alternative sources of funding and stimulate more competition.

The positive relationship between concentration and net interest margins requires that policy makers should create competitive conditions if they want to lower the social cost of financial intermediation. The creation of competitive conditions may be achieved through encouraging the establishment of new domestic banks or the penetration of foreign banks.

The present study aims to contribute to the existing literature on the determinants of bank margins in three ways. First, the authors identify the factors that most explain bank margins for both conventional and IBs. The majority of previous studies examine the determinants of the profitability or the overall performance of banks and in particular conventional ones. Second, this paper employs two generalized method of moments (GMM) approaches introduced by Arellano and Bover (1995) and Arellano and Bond (1991). It differs from Hutapea and Kasri (2010) who employed the co-integration technique to examine the long-run relationship between Islamic and CB margins and their determinants in Indonesia. Third, unlike previous studies focusing on MENA region that use a small number of countries and a short sample period, the period of study covers 16 years from 1999 to 2014 and a large sample of countries (14 countries). This paper differs from Lee and Isa (2017) who applied the dynamic two-step GMM estimator technique introduced by Arellano and Bond (1991) to study the determinants of intermediation margins of Islamic and CBs located in Malaysia.

This chapter provides a discussion on some issues in blockchain finance that regulators are concerned about – an area which bitcoin promoters have remained silent about. Blockchain technology in finance has several benefits for financial intermediation in the financial system; notwithstanding, several issues persist which if addressed can make the adoption of blockchain technology in finance easier and accepted by regulators. The blockchain issues discussed in this chapter are relevant for recent debates in blockchain finance.