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The Financial Stability Board (FSB) determined that entities classified as shadow banking are of a credit nature because they are capable of affecting the financial system through the entry and exit of capital. This study aims at measuring the impact of shadow banking in the systemic risk in Chile. A sample of 91 institutions (Run) belonging to the mutual funds was used, with a series showing a continuous behaviour between 2004 and 2018.

The measurement is carried out using the conditional value at risk (CoVaR) methodology, which analyses the behaviour of an institution in a regular state against the same institution in a state of stress.

The results obtained reflect that liquidity mismatches do not have a relevant effect on the systemic risk, while the 2008 crisis does contribute to its decline.

There are less number of literature studies that apply statistical models regarding shadow banking, at least at a quantitative level, so this research is a beginning for other studies, supporting future authors in their new research as a basis.

El Consejo de Estabilidad Financiera determinó que las entidades clasificadas como Shadow Banking son de carácter crediticio debido a que son capaces de afectar al sistema financiero mediante la entrada y salida de capitales. Este estudio tiene como objetivo medir el impacto del Shadow Banking en el Riesgo Sistémico de Chile. Para esto se utilizó una muestra de 91 instituciones (Run) pertenecientes a los Fondos Mutuos, con series que muestran un comportamiento continuo entre 2004 y 2018.

La medición se lleva a cabo mediante la metodología CoVaR, la cual analiza la conducta de una institución en estado normal versus la misma institución en estado de estrés.

Los resultados obtenidos reflejan que los desajustes de liquidez no tienen un efecto relevante en el Riesgo Sistémico, mientras que la crisis del 2008 si contribuye a la disminución de este.

Existe muy poca literatura que aplica modelos estadísticos respecto al Shadow Banking, al menos a nivel cuantitativo, por lo que esta investigación es un inicio para otros estudios, apoyando como base a futuros autores en sus nuevas investigaciones.

Financial crises in the international markets, which have global effects, have increased the importance of internal auditing especially in the banking sector in recent years. Minimizing the negative effects of crises is closely related to the establishment and functioning of an effective internal control system. International internal audit standards (IIAS) issued by the International Internal Audit Standards Boards are internationally applicable standards that contain the basic requirements for the professional implementation and evaluation of the effectiveness of internal auditing. In developing countries where the effects of crises are intensely felt, public banks are one of the most important actors of the financial system. An effective internal control structure in public banks and in compliance with international standards is necessary for a strong and fragile financial system. The purpose of this study is to examine the internal audit activities in public banks in terms of compliance with international standards. In this study conducted at one of the leading state-owned bank in Turkey, the bank’s internal control procedures and internal control activities reports were examined. In addition, the Bank’s internal audit activities were analyzed by conducting interviews with bank officials for a better understanding of the internal control system. The IIAS, which are grouped under two main headings, are related to the internal audit activities of the related bank. It is thought that the study will guide banks and auditors in terms of demonstrating the application of IIAS, which usually consist of abstract statements.

This study aims to examine the effect of economic growth and the moderating impact of inflation on financial development (FD) for six South Asian Association of Regional Countries (SAARC)es during the period of 1990–2020. Besides, the inflation threshold level and FD index are also estimated.

This study uses several cross-sectional dependency tests, pooled mean group and panel fully modified least squares method. This study also makes use of principle component analysis in index construction.

The results indicate that economic growth positively impacts regions’ FD. The mediating term has a negative impact on FD when the inflation rate rises. The finding indicates after the 3.5% threshold limit, inflation changes its positive effect on FD. The constructed index is a superior measurement of FD because it controls measurement sensitivity and offers significant results.

To the best of the authors’ knowledge, this is the first empirical study in the context of SAARC to analyse the interaction effect of inflation on the growth–finance relationship. This study’s novelty is further ensured by estimating the threshold level of inflation and construction index.

This study aims to investigate the dynamic interaction between interest rates and commercial property financing offered by Islamic banks in Malaysia.

The authors use the autoregressive distributed lag (ARDL) cointegration methodology to analyse the short- and long-run effect of the interest rates and rental rates on commercial property financing of Islamic banks in Malaysia between 2010: Q1 and 2018: Q2.

The findings reveal that changes in interest rates affect Islamic commercial property financing. This indicates that Islamic banks still rely on interest rates as a benchmark without fully implementing Islamic rental rates. This corroborates the subsequent finding, where overnight policy rates influence commercial property financing.

Despite the authors’ attempt to provide insights into Islamic commercial property financing, the study is limited to secondary data; further research can use survey information to obtain other details that are not included in this study. Similarly, this study does not cover the operation and financial lease debate in Musharakah Mutanaqisah. Future studies can examine the challenges faced by the financial institution towards implementing rental rates in other emerging and developing countries using a different methodology.

This study is the first to investigate the dynamic changes in overnight policy rates, average lending rates and rental rates on Islamic commercial property financing in Malaysia using ARDL techniques. The authors uncover the research and institutional implications of Islamic commercial property financing rates and provide policy and future research directions coupled with the proposed modified rental rate to be developed.

This study examines the possibility of asymmetric impact of inflation on the financial development (FD) in the case of Indian economy from 1980 to 2020. Moreover, the finance–growth hypothesis is also tested.

The authors incorporated the “Nonlinear Autoregressive Distributed Lag” (NARDL) model due to Shin et al. (2014) to investigate the asymmetric impact of inflation on financial development. Asymmetric cumulative dynamic multipliers are also used to track the traverse of any short-run distortion towards the long-run cointegration.

The results revealed that inflation impacts the financial development negatively whereas the economic growth (EG) and trade openness have a positive effect. However, the effect of inflation on financial development is not symmetric. Moreover, the findings support the demand-led growth hypothesis.

To the best of the authors' knowledge, this is the first study examining the asymmetric effects of inflation on financial development in the Indian context. In addition, instead of using a single proxy to measure financial development, an index for financial development encompassing different aspects of the financial system has been incorporated.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-02-2023-0094

This study aims to investigate the relationship between financial inclusion and risk-taking by Chinese banks.

It uses the panel data from Chinese banks ranging from 2011 to 2019 and applies system generalized method of moments to measure coefficients. To get in-depth understanding of the relationship between above-mentioned variables, the analysis for commercial, cooperative, listed, unlisted, small and large banks has been done. Financial inclusion index has been measured based on demographic and geographic aspects by using the principal component analysis, and bank risk-taking has been proxied by z-score.

The findings reveal an inverse relationship between financial inclusion and bank risk-taking which implies that an increase in financial inclusion results in lesser risk for the banks, i.e. diversification hypothesis applies. However, the results for unlisted and large banks show a different story where an increase in financial inclusion results in higher bank risk and vice versa.

The present study offers several valid and convincing implications for consumers, policymakers and banking sector regulators.

The Indian microfinance industry witnessed one of the fastest growths in the recent times. However, the striking feature of this growth is that the Microfinance Institutions (MFIs) are concentrated only in some specific regions of the country. There is a huge geographical skew in the distribution of the MFIs. In this paper, an attempt has been made to explain these geographical skew by using the macro variables of the states. The objective of the study is to identify the causes for this regional disparity in the growth of MFIs.

We try to explain the level of penetration of microfinance in the states by using regression models.

Our analysis suggests that state-level macro factors are significant in explaining the geographical skew. MFIs in India have concentrated in states which are richer, have good rural infrastructure, but lack in adequate banking facility, and have low human capital.

The study provides an insight which would help in framing the necessary regulations to ensure that MFIs operate in all regions of the country.

This paper aims to examine the connection between information system (IS) availability and operational risk losses and the capital requirements. As most businesses today become increasingly dependent on information technology (IT) services for continuous operations, IS availability is becoming more important for most industries. However, the banking sector has particular sector-specific concerns that go beyond the direct and indirect losses resulting from unavailability. According to the first pillar of the Basel II accord, IT outages in the banking sector lead to increased capital requirements and thus create an additional regulatory cost, over and above the direct and indirect costs of an outage.

A Bayesian belief network (BBN) with nodes representing causal factors has been used for identification of the factors with the greatest influence on IS availability, thus helping in investment decisions.

Using the BBN model for making IS availability-related decisions action (e.g. bringing a causal factor up to the best practice level), organization, according to the presented mapping table, would have less operational risk events related to IS availability. This would have direct impact by decreasing losses, related to those events, as well as to decrease the capital requirements, prescribed by the Basel II accord, for covering operational risk losses.

An institution using the proposed framework can use the mapping table to see which measures for improving IS availability will have a direct impact on operational risk events, thus improving operational risk management.

The authors mapped the factors causing unavailability of IS system to the rudimentary IT risk management framework implied by the Basel II regulations and, thus, established an otherwise absent link from the IT availability management to operational risk management according to the Basel II framework.

This paper aims to present an analysis of the UK bank loans and deposits in tandem, linking the loan-to-deposit (LTD) ratio to macroprudential policy and funding restrictions. LTD ratio is used by micro and macroprudential authorities to address both structural (long-term) and cyclical (short-term) liquidity risks. It is an outcome of several political and economic factors and should be evaluated against this background.

The authors use trend analysis and panel regression to investigate LTD ratio of Major British Banking Groups from 1945 to 2012 in the midst of changing the UK Government policies.

The results show that wholesale funding, government intervention and repression were the major forces behind LTD trends.

The authors recommend the use of LTD as a complement to other liquidity ratios in micro and macro-prudential regulation, particularly in the context of current reforms to banking capital requirements.

This study aims to determine the characteristics of waqf-based Islamic financial institution (IFI) and subsequently propose some waqf-based IFIs.

This study uses the Delphi method, combined with the Likert scale, to determine and validate the agreed characteristics of waqf-based IFI models. Subsequently, based on the agreed characteristics, the authors propose waqf-based IFI models.

The results show that there are 28 important characteristics of waqf-based IFI, which respondents agree on 24 characteristics with significant Kendall’s concordance or rater agreement (W). The type of waqf-based IFI could be a bank, venture capital or cooperative; the business orientation should be a combination of commercial-social, and it could be implemented in the national, community or micro level. Based on the agreed characteristics, the authors propose several waqf-based IFI, including integrated commercial-social waqf-based bank, integrated commercial-social waqf-based venture capital and integrated commercial-social waqf-based cooperative.

Respondents of this study comprise experts and practitioners who reside in Indonesia so that the results of proposed waqf-based IFIs are most suitable to be implemented in Indonesia.

The conceptual framework and method used in this study could be applied to determine the characteristics of waqf-based IFI and propose the most suitable waqf-based IFI models in other countries.

This study starts with determining the essential characteristics of waqf-based IFI, which then be used to propose waqf-based IFI models.