• The Journal of Asian Finance, Economics and Business
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• v.7 no.8
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• pp.205-212
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• 2020

This study seeks to examine the main factors, external and internal to the bank, that enhance bank lending. Bank lending is one of the connecting bridges in sustaining society. Internal factors consist of ROA, DPK, and CAR. External factors are economic growth and interest rate of Bank Indonesia. The population of this research consists of traditional commercial banks listed on the IDX over the 2014-2017 period. Samples were chosen by purposive sampling method. This study uses secondary data with 56 samples; data analysis uses multiple linear regression. The findings of the study show that internal factors have a greater impact on increasing bank lending than external factors. The main variable among internal factors that influences increase in bank lending is ROA. DPK is the internal factor with the smallest impact on increasing bank lending. The implication of the study is that determining the bank lending should take more account of CAR, DPK, ROA, BI interest rates, and economic growth in making decisions about the amount of lending. These variables can only have a slight effect on increasing lending, though. Besides, internal factors such as NPL, LDR or non-economic factors also need to be considered in channeling bank credit.

• The Journal of Information Systems
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• v.15 no.4
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• pp.1-22
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• 2006

Nowadays, IS projects are getting more complicated and large-scaled. Therefore, many researchers and practitioners have been interested in the IS development methodologies, automated tools, techniques, and TQM to improve IS performance. Latest Standish Group's research reported that after the PMO introduction, project scale became bulkier than 1 or 2 year ago, and that IS development project success probability was increased sharply by 62 percents from 37. The previous researches listed just various PMO functions. This research is to seize the core functions and management level of the PMO affecting on the IS project performance with banks which are the leading industry to accept the PMO in Korea. The activities in the categories of implementation management technology support management infrastructure management are the core functions of the PMO to affect the IS performance including schedule management quality management user and stakeholders' satisfaction. Also, the PMO management level is important for IS project success. Among the 5 levels PMI suggested, PMO can implement the project effectively at least at the third level. Korean companies which are about to introduce the PMO have to consider the PMO core functions and management level to increase the IS maturity.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.1
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• pp.257-269
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• 2021

Intellectual capital is becoming a crucial factor for a firm's long-term profit and performance in the knowledge-based economy as more firms identify their core competence as invisible assets rather than visible assets (Itami, 1987). The company was encouraged to measure financial and non-financial factors, including the customer perspective groups, the internal business process, learning and growth perspective, then to link all these measurements in a coherent system. This paper seeks to investigate the influence of intellectual capital elements on company performance, as well as the relationship among intellectual capital elements from a cause-effect perspective. Resource-Based View (RBV) considers intellectual capital as resource and capability to sustain competitive advantage on company performance. The partial least squares approach is used to examine listed banks in Indonesia Stock Exchange for year 2017-2019. Results show that human capital directly has positive influences on innovation capital, customer capital, and process capital. Innovation capital has positive, but less significant influence on process capital, which in turn influences customer capital. Human capital and process capital also influence customer capital. Finally, customer capital contributes to performance. This study helps management to identify relevant intellectual capital elements as competitive advantage and their indicators to enhance business performance.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.1205-1215
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• 2021

The study's purpose is to assess how board chairman tenure (BCT) contributes to limiting the earnings management practices (EM) in Iraqi banks. We compare the direct influence of the corporate governance mechanisms (CG) on EM practices and use BCT as a moderator that affects the influence of CG on EM. The sample of the study is the financial' firms listed on the Iraqi Stock Exchange for the period 2013-2018. Using purposive sampling data was collected from annual reports and data stream. We use the random effect model in panel data regression by using Stata to analyze the data. Findings proved that CG mechanisms insignificantly influence EM, except the meeting frequency was significant. By contrast, BCT had a positive and considerable influence as the moderating variable between CG and EM. These results suggested that the Chairman's tenure on the board lead to enhanced governance mechanisms to limit the EM practice in Iraqi financial firms. Accordingly, this study is one of the few studies in the Iraq environment that examine the influence of CG mechanisms on EM practices, in addition to examining the BCT as a moderator between CG and EM, thus, filling the gap in such studies in developing countries.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.1
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• pp.7-14
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• 2021

This paper examines the impact of foreign ownership on stock price volatility in an emerging market, namely, Thailand. The data were obtained from SETSMART, the database of the Stock Exchange of Thailand (SET). After removing financial firms, banks, and insurance companies as well as filtering outliers, the final sample covers 1,755 firm-year observations from 371 nonfinancial firms listed on the SET over the five-year period from 2014 to 2018. The regression model consists of stock price volatility, measured by two methods, as the dependent variable, foreign ownership as the main independent variable, and firm characteristics including firm size, leverage, market-to book ratio, and stock turnover as the control variables. The pooled OLS, fixed effects, and random effects estimations are employed to examine the relationship between foreign ownership and stock price volatility. The results reveal that foreign ownership has a negative and significant impact on stock price volatility. The two-stage least squares (2SLS) are also performed to address potential endogeneity problem. The results still indicate a negative relationship between foreign ownership and stock price volatility. Taken together, the findings of this study suggest that foreign investors help reduce stock price volatility and thus stabilize share price in the Thai stock market.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.1
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• pp.225-235
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• 2021

The objective of this study is to identify the effects of ethical values reflected on zakat and Corporate Social Responsibility (CSR) on the financial performance of sharia banking in Indonesia. This study contributes to the Indonesia Financial Service Authority (Otoritas Jasa Keuangan (OJK) policies concerning the need for implementing ethical values in sharia banking and other sharia financial entities based on the philanthropic model, this study posits that firms undertaking zakat and charity are ethical firms. The population of this study is 8 sharia banks listed on the Indonesia Stock Exchange (IDX) in 2014-2018. The result of the study showed that zakat disclosure significantly affected financial performance. Moreover, ethical values that were proxied by CSR disclosure did not significantly affect financial performance. The limitation of the study is the limited number of the sample; therefore, it is expected that the future research adds other sharia financial entities and adds the dimension of management, sustainability, product, and the environment as benchmarks of ethical values. The originality of this study offers an additional explanation of the relationship between ethical values and performance by investigating zakat and CSR disclosure which is a unique factor in Indonesia.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.7
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• pp.81-91
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• 2022

The aim of this paper was to analyze the determinants of the extent of individual credit rationing at Can Tho Military Commercial Joint Stock Bank (MB). The data was collected from 150 customers according to the systematic random sampling method listed in the bank. This study employed quantitative analysis methods, and Tobit regression model, to test the proposed hypotheses. The results showed that the average loan amount of an individual customer was 1,181.3 million VND, the average credit limit was 48.6%, and the average interest rate was 10.9% per year. Most of the individual customers borrowed money to buy properties. In addition, the analysis results also indicated that individual borrowers still faced some difficulties in accessing bank credit, such as cumbersome procedures, long waiting times, insufficient collateral assets, and loan documents. The results of the Tobit model pointed out that there were five factors affecting the degree of credit rationing to individual customers at the bank, including (1) Collateral, (2) Income, (3) Credit history, (4) Loan purpose, (5) Relationship between borrower and bank. Based on the empirical findings, the possible solutions for the bank and individual borrowers to improve credit efficiency for individual customers at commercial banks are obtained.

• Korea Trade Review
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• v.45 no.5
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• pp.1-22
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• 2020

This study explores the role of relationship banking for the exports of SMEs (small and medium sized enterprises) in Korea. Using a sample of SMEs listed on the Korean stock markets between 2004 and 2018, I find that relationship banking has a positive impact on exporting behaviors of SMEs. This result indicates that relationship banking is suitable for SMEs to raise their funds in the export decision-making since the incentive for banks to obtain soft information enhances SMEs' access to external finance. In particular, through further analysis considering financial constraints, I find that the positive impact of relationship banking on exports is amplified for financially constrained SMEs. In addition, the positive impact on exports is also amplified for export starters. Finally, relationship banking provides benefits for SMEs' export decision-making regardless of the financial crisis. To sum up, relationship banking may be useful means of financing for Korean SMEs whose creditworthiness cannot be assessed only by hard information. As the role of finance in international trade has recently been highlighted, this study provides insightful evidence that relationship banking may enhance exports of SMEs as a source of trade finance.

• The Korean Journal of Financial Management
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• v.26 no.2
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• pp.63-91
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• 2009

This paper tests the validity of pecking order theory by Myers(1977) and Myers and Majluf(1984) on Korean manufacturing firms listed in the KRX for the years of 1994 to 2003. We also want to see if there is any difference in financing behavior between chaebol affiliated firms and non-chaebol affiliated firms. We develop testable hypotheses from the idea that established relationship between bank and firm mitigates the problem of information asymmetry (Kang and Lim, 2001), and thus makes it easier for firms to raise funds through banks. The test result of the first stage shows that firms prefer cash reserves to debt financing, and prefer debt to equity. Chaebol affiliated firms are found to behave as if they already exploit internal capital markets. The second stage of the test carried out by dividing debt capital into bank loans and corporate bonds also shows a consistent pattern of financing behavior. Firms are testified to prefer cash to bank loans, bank loans to corporate bonds, and corporate bonds to equity. In this case chaebol affiliation seems to make firms behave as if they already establish internal capital markets. Further analysis shows that some, though not in every case, difference of ordering around the occasion of Korean financial crisis exists. It may be from the change of attitude of Korean firms to risk, or from weakened influence of internal capital market along with strengthened market power in the post-crisis period.

• Journal of Intelligence and Information Systems
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• v.18 no.4
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• pp.59-77
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• 2012

This study focuses on predicting which firms will increase capital by issuing new stocks in the near future. Many stakeholders, including banks, credit rating agencies and investors, performs a variety of analyses for firms' growth, profitability, stability, activity, productivity, etc., and regularly report the firms' financial analysis indices. In the paper, we develop predictive models for rights issues using these financial analysis indices and data mining techniques. This study approaches to building the predictive models from the perspective of two different analyses. The first is the analysis period. We divide the analysis period into before and after the IMF financial crisis, and examine whether there is the difference between the two periods. The second is the prediction time. In order to predict when firms increase capital by issuing new stocks, the prediction time is categorized as one year, two years and three years later. Therefore Total six prediction models are developed and analyzed. In this paper, we employ the decision tree technique to build the prediction models for rights issues. The decision tree is the most widely used prediction method which builds decision trees to label or categorize cases into a set of known classes. In contrast to neural networks, logistic regression and SVM, decision tree techniques are well suited for high-dimensional applications and have strong explanation capabilities. There are well-known decision tree induction algorithms such as CHAID, CART, QUEST, C5.0, etc. Among them, we use C5.0 algorithm which is the most recently developed algorithm and yields performance better than other algorithms. We obtained data for the rights issue and financial analysis from TS2000 of Korea Listed Companies Association. A record of financial analysis data is consisted of 89 variables which include 9 growth indices, 30 profitability indices, 23 stability indices, 6 activity indices and 8 productivity indices. For the model building and test, we used 10,925 financial analysis data of total 658 listed firms. PASW Modeler 13 was used to build C5.0 decision trees for the six prediction models. Total 84 variables among financial analysis data are selected as the input variables of each model, and the rights issue status (issued or not issued) is defined as the output variable. To develop prediction models using C5.0 node (Node Options: Output type = Rule set, Use boosting = false, Cross-validate = false, Mode = Simple, Favor = Generality), we used 60% of data for model building and 40% of data for model test. The results of experimental analysis show that the prediction accuracies of data after the IMF financial crisis (59.04% to 60.43%) are about 10 percent higher than ones before IMF financial crisis (68.78% to 71.41%). These results indicate that since the IMF financial crisis, the reliability of financial analysis indices has increased and the firm intention of rights issue has been more obvious. The experiment results also show that the stability-related indices have a major impact on conducting rights issue in the case of short-term prediction. On the other hand, the long-term prediction of conducting rights issue is affected by financial analysis indices on profitability, stability, activity and productivity. All the prediction models include the industry code as one of significant variables. This means that companies in different types of industries show their different types of patterns for rights issue. We conclude that it is desirable for stakeholders to take into account stability-related indices and more various financial analysis indices for short-term prediction and long-term prediction, respectively. The current study has several limitations. First, we need to compare the differences in accuracy by using different data mining techniques such as neural networks, logistic regression and SVM. Second, we are required to develop and to evaluate new prediction models including variables which research in the theory of capital structure has mentioned about the relevance to rights issue.