scholarly journals Indicators of financial distress condition in Indonesian banking industry

Accounting ◽  
2022 ◽  
Vol 8 (1) ◽  
pp. 27-36
Author(s):  
Abdul Haris ◽  
Imam Ghozali ◽  
Najmudin Najmudin
Keyword(s):  
Data Analysis ◽  
Credit Risk ◽  
Financial Services ◽  
Financial Distress ◽  
Commercial Banks ◽  
Banking Sector ◽  
Banking Industry ◽  
Multiple Correlation ◽  
Preventive Actions ◽  
Positive Effect

This study conducts the theme of The Causes of Financial Distress conditions by samples from Indonesian banking sector registered in the Financial Services Authority of Indonesia within the period of 2015-2019. The title of this study: "Indicators of Financial Distress condition in Banking sector in Indonesia” during the period of 2015-2019" with a multiple correlation approach. The purpose of this study is to determine the effect of leverage of Credit Risk, CAR, ROA, and LDR to the Financial Distress conditions. The sample of population in this study are all conventional commercial banks in Indonesia registered in the Financial Services Authority of Indonesia. The number of samples in this study were included 37 commercial banks that their profitabilities were being declined, with a total number 146 observations. The method carried out in determining the sample is “Purposive” sampling. Based on the results of study and data analysis using the panel data method, it shows that capital, credit risk, profitability and liquidity have a positive effect on Financial Distress. The implication of the above conclusion is that it required further research to perform preventive actions to anticipate the measures of financial performance of the Bank, and it is expected to select a larger population of samples and variables that might have not been included in research on banking Financial Distress in Indonesia.

scholarly journals Improving Financial Service Innovation Strategies for Enhancing China’s Banking Industry Competitive Advantage during the Fintech Revolution: A Hybrid MCDM Model

2019 ◽  
Vol 11 (5) ◽  
pp. 1419 ◽  
Author(s):  
Qun Zhao ◽  
Pei-Hsuan Tsai ◽  
Jin-Long Wang
Keyword(s):  
Decision Making ◽  
Competitive Advantage ◽  
Financial Services ◽  
Commercial Banks ◽  
Banking Sector ◽  
Banking Industry ◽  
Service Innovation ◽  
Recent Emergence ◽  
Innovation Strategies ◽  
The Impact

The recent emergence and rapid growth of new financial services by financial technology (Fintech) companies have driven banking institutions towards operational innovation in order to gain sustainable competitive advantage. This study aims to conduct an in-depth investigation of the banking sector in response to the challenges brought by Fintech startups. Based on the service innovation theory, we propose a novel hybrid multiple criteria decision-making method (MCDM) to evaluate service innovation strategies for improving the sustainability of China’s banking industry during the Fintech revolution. A six-dimensional model comprising 20 sub-criteria is constructed and both the decision making trial and evaluation laboratory (DEMATEL) technique and DEMATEL-based analytic network process (DANP) are used to explore interrelationships among the indices and their related weights. Finally, the modified VIšekriterijumsko KOmpromisno Rangiranje (VIKOR) method is employed to evaluate performance gaps in the four major types of commercial banks in China—state-owned, joint-stock, city commercial banks, and other credit cooperatives—in the field of service innovation. The improvement priorities, ranked from highest to lowest, are new business partners, new service concepts, organizational innovation, technological innovation, new customer interactions, and new revenue models. These results will provide strategies for the sustainable development of China’s banking industry and the implementation of changes in response to the impact of the Fintech revolution.

scholarly journals PENGARUH OPERATING EXPENSES TO OPERATING REVENUES (BOPO), FINANCING TO DEPOSIT RATIO (FDR) DAN NON PERFORMING FINANCING (NPF) TERHADAP PROFITABILITAS BANK UMUM SYARIAH DI INDONESIA

2021 ◽  
Vol 3 (1) ◽  
pp. 92-101
Author(s):  
Mella Kusuma Wardannah ◽  
Wirman Wirman
Keyword(s):  
Data Analysis ◽  
Financial Services ◽  
Commercial Banks ◽  
Islamic Banking ◽  
Significant Positive Effect ◽  
Financial Reports ◽  
Normality Test ◽  
Analysis Technique ◽  
Negative Effect ◽  
Positive Effect

The development of Islamic banking is currently growing rapidly and has gained a lot of trust in the community which greatly affects the nation's economy. This study aims to examine the influence of Operating Expenses to Operating Revenues (BOPO), Financing To Deposit Ratio (FDR) and Non-Performing Financing (NPF) on the Profitability of Islamic Commercial Banks in Indonesia in the 2015-2019 period. The data is taken from the annual financial reports of Sharia Commercial Banks registered with the Financial Services Authority in 2015-2019 which are published on the official website (www.ojk.co.id) The object of this research was conducted at 6 banks registered with the Financial Services Authority (OJK) with a period of 5 years for the 2015-2016 period. In total there are 6 Sharia commercial banks, namely Bank Muamalat, Bank Mega Syariah, Bank BRI Syariah, Bank BNI Syariah, Bank BCA Syariah, and Bank Mandiri Syariah. The data analysis technique used in the study used the classical assumption test which included normality test, multicollinearity test, heteroscedasticity test, autocorrelation test. To find out the overall picture of each of the variables, this study uses multiple linear regression and hypothesis testing which includes the t test (partial) and the f test simultaneously. The results showed that the BOPO variable had a significant negative effect on ROA, the FDR variable had a significant positive effect on ROA and the NPF variable had no effect on ROA. The results of this study are expected to be a guideline for further research and be useful for the management of Islamic Commercial Banks in managing the company.Keywords : Operating Expenses To Operating Revenues (BOPO), Financing To Deposit Ratio (FDR), Non                       Performing Financing (NPF), Profitabilitas (ROA)

Measurement of Vulnerability of Financial Portfolio of Sharia Commercial Banks by Cardona Method

2017 ◽  
Vol 9 (2) ◽  
pp. 109
Author(s):  
Paulina Harun ◽  
Atman Poerwokoesoemo
Keyword(s):  
Commercial Banks ◽  
Quantitative Research ◽  
Banking Sector ◽  
Banking Industry ◽  
Policy Makers ◽  
Factors Affecting ◽  
Section Data ◽  
Initial Stage ◽  
The Face ◽  
Asset Portfolio

his study aims to: (1) to know and analyze the extent of volatility (vulnerability) of sharia banking industry in Indonesia in the face of competition (2) to know and analyze factors affecting vulnerability of sharia commercial banks; (3) to know and analyze the extent of sustainable development of sharia banking industry to Indonesia's economic development.The research conducted to measure the vulnerability (volatility) of proto folio of syariah bank using observation period 2015, and the data used is cross section data. The research design used in this research is quantitative research, using asset dimension (asset portfolio, liability portfolio, equity portfolio) and stressor (pressure, including: credit risk, market risk, and liquidity risk).The activity plan of this research is: in the initial stage of conducting theoretical study related to the vulnerability related to banking especially BUS; The next step is to determine the asset and stressor dimensions associated with the BUS; Further determine the indicators related to assets and stressors; The next step performs calculations to determine the index of each BUS as well as the dimensions that affect the vulnerabilities faced by each BUS.Target expected outcomes can be generated from this research is: for the object of research (BUS) provide a solution for BUS to deal with and overcome the vulnerabilities encountered and policies that must be done. For policy makers, the results of this study are expected to provide input in decision-making and other policies.Measurement of vulnerability to be performed related to banking operations in the face of competition and the continuity of BUS in Indonesia. The outcomes of this study are expected to be included in Bank Indonesia journals, the selection of this journal is based on studies conducted in the banking sector, especially BUS in Indonesia.

scholarly journals Islamic Corporate Governance and Internal Control Influance on Fraud in Sharia Commercial Banks

2020 ◽  
Vol 1 (1) ◽  
pp. 28
Author(s):  
Mariyam Chairunisa
Keyword(s):  
Corporate Governance ◽  
Internal Control ◽  
Financial Services ◽  
Commercial Banks ◽  
Audit Committee ◽  
Supervisory Board ◽  
Negative Effect ◽  
Descriptive Approach ◽  
Quantitative Descriptive ◽  
Positive Effect

This study aims to examine impact of Islamic Corporate Governance and Internal Control on Fraud on sharia Commercial Bank in Indonesia. The unit analysis of this research is Sharia Commercial Banks in Indonesia which have been registered in the Financial Services Authority (OJK) period 2012 to 2017. This research was done to 11 Islamic commercial banks by using quantitative-descriptive approach. The results of this research showed that Sharia Supervisory Board and Internal Control have negative effect and unsignificant  on Fraud. However, Audit Committee has a positive effect and significant on fraud .

scholarly journals Improved forecast assessment for the expected credit losses in credit risk monitoring in commercial banks in the context of international and Russian practices

2020 ◽  
Vol 15 (3) ◽  
pp. 445-457
Author(s):  
Elena Vladimirovna Travkina ◽  
Keyword(s):  
Risk Assessment ◽  
Risk Management ◽  
Credit Risk ◽  
Commercial Banks ◽  
Banking Sector ◽  
Assessment Model ◽  
Financial Instruments ◽  
Credit Risk Assessment ◽  
Ifrs 9 ◽  
Credit Losses

Current banking sector’s performance raises the issues connected with the IFRS 9 Financial Instruments driven transformation of the forecast assessment for the expected credit losses during monitoring and credit risk assessment in commercial banks. In this regard, it becomes important to conduct a comprehensive systematization of the existing Russian and international practices for monitoring and evaluating credit risk in commercial banks. The purpose of the study is to develop a comprehensive approach to the use of an effective model for the impairment of expected losses in banking activities. The novelty of the study includes the enhancement of the tools for the forecast assessment of the expected credit losses among the commercial banks’ clients to improve the credit risk management efficiency. The results from the implementation of IFRS 9 Financial Instruments in the banking area show that modern conditions maintain the uncertainty of the long-term impact of the credit risk on the commercial banks’ performance. What is more, a huge amount of additional information gives significant difficulties, which contributes into the sophisticated calculations of the future credit losses of the banks. It has been justified that a forecast assessment model for the expected credit losses of the clients during the monitoring and bank’s credit risk assessment should be based on the collective or individual ground. The efficient application of the expected losses impairment in the banking performance has been described as a fundamental tool to simulate the expected credit losses to provision for impairment. This model has been shown to be determined by the features of the credit activities and bank portfolio, types of its financial tools, sources of the available information, as well as the applied IT systems. The proposed model validation algorithm for the expected impairment losses could reduce the expected credit losses, decrease the volume of the created assessed reserves, as well as improve the overall commercial bank performance efficiency. Theoretically, the study develops the credit losses risk management in the context of the transformations in the global and Russian banking practices. From the perspective of the practical value, the research gives an opportunity to create an efficient forecast assessment model for the expected credit losses of the commercial banks’ clients, this model contributing into the cost effectiveness of the bank’s credit activities. A promising further research is considered to be aimed at developing the tools for the assessment of the commercial banks’ credit activity results in the context of the adopted changes connected with the introduction of IFRS 9 Financial Instruments in the Russian banking sector.

scholarly journals Cost efficiency of the Czech and Slovak banking sectors: an application of the data envelopment analysis

2016 ◽  
Author(s):  
Iveta Palecková
Keyword(s):  
Data Envelopment Analysis ◽  
Cost Efficiency ◽  
Commercial Banks ◽  
Banking Sector ◽  
Banking Industry ◽  
Returns To Scale ◽  
Data Envelopment ◽  
Cost Efficient ◽  
The Cost ◽  
Variable Returns To Scale

The aim of the paper is to estimate the cost efficiency of the Czech and Slovak commercial banks within the period 2010-2014. For empirical analysis the Data Envelopment Analysis input-oriented model with variable returns to scale is applied on the data of the commercial banks. The intermediation approach is adopted to define the inputs and outputs. The Czech commercial banks are more cost efficient than Slovak commercial banks. The development of average cost efficiency is similar in the Czech and Slovak banking industry. The most efficient Czech banks are Ceská sporitelna and Sberbank in the Czech banking sector, the most efficient Slovak bank is Privatbanka with 100% efficiency.

scholarly journals MODIFIED SERVQUAL MODEL AND EFFECTS OF CUSTOMER ATTITUDE AND TECHNOLOGY ON CUSTOMER SATISFACTION IN BANKING INDUSTRY: MEDIATION, MODERATION AND CONDITIONAL PROCESS ANALYSIS

2017 ◽  
Vol 18 (5) ◽  
pp. 974-1004 ◽  
Author(s):  
Rizwan Raheem AHMED ◽  
Jolita VVEINHARDT ◽  
Dalia ŠTREIMIKIENĖ ◽  
Muhammad ASHRAF ◽  
Zahid Ali CHANNAR
Keyword(s):  
Factor Analysis ◽  
Customer Satisfaction ◽  
Financial Services ◽  
Banking Sector ◽  
Banking Industry ◽  
Process Analysis ◽  
Perceived Value ◽  
Online Banking ◽  
Foreign Banks ◽  
Banking Service

Banks are very important financial services sector, and in banking sector there is an intense competition amongst the local and foreign banks throughout the world. The objective of this research is to analyse the effects of perceived value and customer trust, and role of technology in banking service qualities and customers’ satisfaction in Pakistani context. For this purpose we employed modified SERVQUAL model with four dimensions such as empathy, competence, reliability, and online service. An adapted questionnaire was used to carry out this survey research, and collected 830 responses from the customers of Pakistani banking industry. We used factor analysis, confirmatory factor analysis, and bootstrapping methods to carry out this research. The results of the study demonstrated that our four-dimensional model of modified SERVQUAL has a significant impact on overall customer satisfaction. It is further concluded from the bootstrapping method that modified SERVQUAL dimensions and customer satisfaction are positively mediated by the perceived value and trust. Finally, it is also concluded that the implementation of technology serves as moderating variable in the banking sector. The outcomes of this research are beneficial to the senior management of banking sector in order to implement the effective and customised online banking structure to gain competitive advantages, and provide vibrant online banking services that enhance the standard and ease of services to the customers and earn their confidence. The originality and novelty of this research provide a significant contribution in the application of SERVQUAL model specifically for the banking service quality dimensions and customer satisfaction in marketing research.

Artificial Intelligence and Personalized Banking

2022 ◽  
pp. 74-87
Author(s):  
Sunanda Vincent Jaiwant
Keyword(s):  
Artificial Intelligence ◽  
Customer Service ◽  
Financial Services ◽  
Banking Sector ◽  
Banking Industry ◽  
Human Intelligence ◽  
Financial Services Industry ◽  
Customer Journey ◽  
Services Industry ◽  
Applications Of Ai

AI has begun making its presence felt in every industry and now across the financial services industry as well. This chapter examines and presents the use of AI in banks for better customer service giving them a personalized experience. This chapter explains how banks are getting future-ready for their financial services by means of AI and are delivering financial offerings seamlessly. This research primarily focuses on the concept of AI in the field of banking, how AI has revolutionized personalized banking and made banking operations more efficient and successful. AI innovations are an integral part of Industry 5.0 which aims at integrating automation and human intelligence. This chapter aims to study and describe the current applications of AI in the banking industry and its impact on the banking sector. The study also gives a description of the banks employing AI to facilitate an exceedingly personalized customer journey with the banks.

scholarly journals The Effect of Risks on Banking Safety: Applied Study on Jordanian Traditional Banks (2005-2016)

2017 ◽  
Vol 9 (9) ◽  
pp. 102
Author(s):  
Mohammad Abdel Mohsen Al-Afeef ◽  
Atallah Hassan Al-Ta'ani
Keyword(s):  
Interest Rate ◽  
Credit Risk ◽  
Commercial Banks ◽  
Banking Sector ◽  
Liquidity Risk ◽  
Interest Rate Risk ◽  
Bank Credit ◽  
Applied Study ◽  
Rate Risk ◽  
The Impact

Banking sector is one of the most important sectors that support the sustainable economic development in Jordan, therefore this study aimed to test the impact of risks; (Liquidity risk, bank credit risk and interest rate risk) on the safety in the banking sector in the Jordanian commercial banks during the period 2005-2016.The results of the study showed that there is a statistically significant impact for each of liquidity risk and interest rate risk on the safety in the banking sector, and there isn't statistically significant impact for credit risk on the safety in the banking sector during the period of this study, and also find that the explanatory of model was 60.5%, which means that 39.5% due to other factors.

Market structure-performance hypothesis in Kenyan banking industry

2015 ◽  
Vol 10 (4) ◽  
pp. 697-710 ◽  
Author(s):  
Solomon W. Giorgis Sahile ◽  
Daniel Kipkirong Tarus ◽  
Thomas Kimeli Cheruiyot
Keyword(s):  
Market Structure ◽  
Market Efficiency ◽  
Market Share ◽  
Commercial Banks ◽  
Banking Sector ◽  
Banking Industry ◽  
Developing Economies ◽  
Market Concentration ◽  
Bank Performance ◽  
Content Type

Purpose – The purpose of this paper is to test market structure-performance hypothesis in banking industry in Kenya. Specifically, the structure-conduct-performance (SCP) and market efficiency hypotheses were examined to determine how market concentration and efficiency affect bank performance in Kenya. Design/methodology/approach – The study used secondary data of 44 commercial banks operating from 2000 to 2009. Three proxies to measure bank performance were used while market concentration and market share were used as proxies for market structure. Market concentration was measured using two concentration measures; the concentration ratio of the four largest banks (CR4) and Herfindahl-Hirschman Index, while market share was used as a proxy for efficiency. The study made use of generalized least square regression method. Findings – The empirical results confirm that market efficiency hypothesis is a predictor of firm performance in the banking sector in Kenya and rejects the traditional SCP hypothesis. Thus, the results support the view that efficient banks maximize profitability. Practical implications – The study provides insights into the role of efficiency in enhancing profitability in commercial banks in Kenya. It has managerial implication that profitable banks ought to be efficient and dispels the notion of collusive behavior as a precursor for profitability. Originality/value – The paper fills an important gap in the extant literature by proving insights into what determines bank profitability in banking sector in Kenya. Although this area is rich in research, little work has been conducted in the developing economies and in particular no study in the knowledge has addressed this critical issue in Kenya.

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