• The KIPS Transactions:PartD
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• v.14D no.4 s.114
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• pp.363-372
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• 2007

Password, a traditional user confirmation method that is used for more than 100 years, has become useless as a lot of transactions are dealt by indirect contacts. As a result, an alternative for password is required now. In this paper, we propose a novel confirmation method, which is called Brain-Key. It uses an indirect password input method. It reduces the risks due to hacking, and prevents a big credit accident because it prevents passwords to be reused. Our proposed model has general applicability so that it can be applied in domestic market as well as international markets. This research may provide solutions for the security problems in the electronic commerce.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.2
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• pp.1180-1200
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• 2017

Currently, automated payment services provide intuitive user interfaces by adapting various wireless communication devices with mobile services. For example, companies like Samsung, Google, and Apple have selected the NFC payment method to service payments of existing credit cards. An electronic payment standard has been released for NFC activation within Korea and will strengthen the safety of payment service communications. However, there are various security risks regarding the NFC-based electronic payment method. In particular, the NFC payment service using the recently released lightweight devices cannot provide the cryptographic strength that is supported by many financial transaction services. This is largely due to its computational complexity and large storage resource requirements. The chaotic map introduced in this study can generate a highly complicated code as it is sensitive to the initial conditions. As the lightweight study using the chaotic map has been actively carried out in recent years, associated authentication techniques of the lightweight environment have been released. If applied with a chaotic map, a high level of cryptographic strength can be achieved that can provide more functions than simple XOR operations or HASH functions. Further, this technique can be used by financial transaction services. This study proposes a mutual authentication technique for NFC-PCM to support an NFC payment service environment based on the chaotic map.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.219-229
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• 2020

The study investigates the factors affecting the profitability of listed commercial banks in Vietnam. Survey data for this research were collected from 10 Vietnamese listed commercial banks for the period from 2008 to 2018. In the study, we have built a model of econometric regression with the dependent variable being listed commercial banks' profitability results measured through ROA. The research methods used include descriptive statistics, IV regression and OLS regression analysis, and the authors carried out the model verification with Stata 14 software. The results showed that operating efficiency, loans size, retail loans ratio, state ownership, inflation rate, and GDP growth are factors that have a positive impact on profitability On the other hand, variables such as capital size, credit risk, liquidity risk, bank size, and revenue diversification are statistically insignificant; hence, these variables are not statistically adequate to indicate the influence of those independent variables to banks' profitability. The findings of this study suggest that the quality of assets should be considered in the context that bad debt risks come from lending heavily to the real estate sector. Meeting Basel II's capital compliance requirements is relatively difficult for small listed commercial banks compared to bigger listed commercial banks in Vietnam.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.8
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• pp.497-502
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• 2021

This study aims to investigate the determinants of default risk of rural banks in East Java, Indonesia. The method used is descriptive verification and logistic regression analysis. The data used is secondary in the form of monthly annual financial reports of rural banks in East Java during the period 2009-2018. From the results, it was shown that net interest margin (NIM) as a proxy of market risk, non-performing loan (NPL) as a proxy of credit risk, operation efficiency as a proxy of operational risk and return on assets (ROA) as a proxy of profitability have a significant influence on default risk. Meanwhile, the loan to deposit (LDR) ratio as a proxy of liquidity risk has no significant influence on default risk. Banks need to implement risk management and meet the capital adequacy requirements of regulators so that they are resistant to risk, and also, compliant with bank governance to be able to produce high returns for rural banks have an impact on sustainability and its existence. The ability to identify setbacks in bank conditions and the ability to distinguish between healthy and problematic banks will enable to anticipate default banks.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.319-329
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• 2021

The study examines the impact of bank-level factors like non-performing assets, capital adequacy, and insolvency risk on bank performance. This study employs a quantitative method with panel data regression. The data was taken from the annual financial statements of state-owned commercial banks and private commercial banks in Indonesia from 2015 to 2019 using a purposive sampling method with a total sample of 470 observations. The result of the study shows that non-performing assets (NPA) have a significant negative impact on bank performance. Capital adequacy has a significant negative impact on bank performance. Insolvency risk for a bank means it cannot repay its depositors because its liabilities are greater than its assets; therefore, it has a significant impact on bank performance. This study is expected to help banks to understand how to manage the risks they face and to maintain their performance. This study uses 'size' and 'age of bank' as control variables and for credit risk and insolvency risk, Z-Score is used.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.3
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• pp.43-51
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• 2022

This paper examines the main factors affecting the bank performance under the Basel II implementation in Vietnam, a transitional economy in Asia. We pay special attention to the implementation duration of the Basel II convention and how it affects profitability. Thereby, we can evaluate the effectiveness of Basel II in the whole system according to the roadmap to 2020. We employ the panel data regression method to analyze a sample of 300 bank-year observations from 25 commercial banks during the 2008-2019 period. Our empirical findings show that the size of the bank, net interest margin, state ownership, and Basel II convention have positive effects on bank profitability. However, our empirical findings indicate that bank age and branch number negatively reduce bank performance. Finally, our results indicate that commercial banks earn extra profit from delaying the implementation of Basel II. However, commercial banks will encounter higher credit, and operational risks arising from delaying the implementation of Basel II standards. Therefore, our study contributes to the insights into the bank's management to enhance profitability, especially after implementing Basel II in a transitional economy. Finally, our study also provides policy implications for bank managers and banking supervisory to maintain the sustainable development of the banking system.

• Environmental and Resource Economics Review
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• v.21 no.4
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• pp.809-850
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• 2012

A linkage of emissions trading schemes among Korea, China and Japan demonstrates overall increase in gross domestic product (GDP). However, it also demonstrates reductions in household consumption, and the impact of integration could be very unbalanced between the countries. In particular, the reductions in domestic marginal costs are high in both Korea and Japan. Therefore, household consumptions in the two countries decrease despite increases in GDP because Korea and Japan will be purchasers of emissions rights. China, on the other hand, will experience the opposite. The unbalanced impacts on real household consumptions are intensified when emission credits are allocated via paid auctions instead of free allocation. This was demonstrated to be the case because the circumstances of three countries are intensified when using a paid emissions credit allocation scheme, and their differences could potentially hinder the cooperation between the three countries. Under the free allocation scheme, the emission trading schemes' unbalanced impacts on consumption could be mitigated, but unavoidable negative impacts of free allocation schemes are also serious. Based on the analysis results, Korea, China, and Japan will individually face complicated impacts if their carbon markets are integrated. Although the GDP of three countries will increase as a result of carbon market integration, the benefits of integration will surely be unbalanced, and the three countries will experience negative impacts in terms of actual consumption or employment. In particular, increases in income and consumption, reductions in employment, and energy dependence by credit purchasers (Japan and Korea) and production reduction and possibility of offshoring faced by revenue producing countries (China) could serve as a barrier to carbon market integration. To maximize the positive influences of carbon market integration while reducing the risks of negative side effects, the development and application of complimentary policy tools, such as import duties or discounts for emissions credits, are required.

• Agribusiness and Information Management
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• v.11 no.1
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• pp.27-39
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• 2019

Agricultural risks are exacerbated by a variety of factors ranging from climatevariability and change, frequent natural disasters, uncertainties in yields and prices, weakrural infrastructure, imperfect markets and lack of financial services including limited spanand design of risk mitigation instruments such as credit and insurance. Indian agriculture has little more than half (53%) of its area still rainfed and this makes it highly sensitive to vagaries of climate causing unstable output. Besides adverse climatic factors, there are man-made disasters such as fire, sale of spurious seeds, adulteration of pesticides and fertilizers etc., and all these severely affect farmers through loss in production and farm income, and are beyond the control of farmers. Hence, crop insurance' is considered to be the promising tool to insulate the farmers from risks faced by them and to sustain them in the agri-business. This paper critically evaluates the performance of recent crop insurance scheme viz., Pradhan Mantri Fasal Bhima Yojana (PMFBY) and its comparative performance with earlier agricultural insurance schemes implemented in the country. It is heartening that, the comparative performance of PMFBY with earlier schemes revealed that, the Government has definitely taken a leap forward in covering more number of farmers and bringing more area under crop insurance with the execution of this new scheme and on this front, it deserves the appreciation in fulfilling the objective for bringing more number of farmers under insurance cover. The use of mobile based technology, reduced number of Crop Cutting Experiments (CCEs) and smart CCEs, digitization of land record and linking them to farmers' account for faster assessment/settlement of claims are some of the steps that contributed for effective implementation of this new crop insurance scheme. However, inadequate claim payments, errors in loss/yield assessment, delayed claim payment, no direct linkage between insurance companies and farmers are the major shortcomings of this scheme. This calls for revamping the crop insurance program in India from time to time in tune with the dynamic changes in climatic factors on one hand and to provide a safety-net for farmers to mitigate losses arising from climatic shocks on the other. The future research avenues include: insuring the revenue of the farmer (Price × Yield) as in USA and more and more tenant farmers should be brought under insurance by doling out discounts for group coverage of farmers like in Philippines where 20 per cent discount in premium is given for a group of 5-10 farmers, 30 per cent for a group of 10-20 and 40 per cent for a group of >20 farmers.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.4
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• pp.17-25
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• 2020

Venture debt is a prominent funding tool to promote scale-up of ventures. In the growth stage, venture firms that need large-scale funding can accelerate their growth by leveraging venture debt without diluting their shares, while venture capitals can quickly recollect their investments by accelerating the growth of the ventures they invest. By supplying venture debt, banks can diversify their asset primarily concentrated on loans, and improve the return on assets. As in the case of Silicon Valley Bank, a leading venture lender, closer cooperation between the two agents is essential to supply venture debt. One is the venture capital, an equity capital supplier, and the other is the bank, a debt capital supplier. To this end, we propose "credit risk sharing venture loans" and "venture loan pooling". The former encourages banks' participation in the venture debt market where the manager of Korean Fund of Funds, KVIC and policy guarantee schemes such as KODIT and KIBO screen or partially absorbe the risks inherent in venture loans. The latter reduces the burden of banking on individual venture loans through securitization.

• Journal of Cadastre & Land InformatiX
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• v.44 no.2
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• pp.231-242
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• 2014

On the Pre-Housing-Sale Systems there are many risks that developers might not fulfill the pre-sale obligations. In korea, in order to protect the people who bought houses from these risk, the Housing Sold Guarantee System was introduced and has been operated. Even though this system if there is accident in the pre-sale warranty business, several problems, such as damages caused to the people who bought the houses, occurs. Therefore, research is needed to Housing Sold Guarantee accident factor. But there are few study about it. This study attempted to analyze influencers on the possibility of the accident. We employ 3,026 data which Korea Housing Guarantee Co., Ltd manages and analyze them empirically, using business characteristics, housing market characteristics, and regional characteristics. Especially this study used to the binary logistic regression model. The results of analysis showed that the accident rate of Housing Sold Guarantee had been effected on the business type, house type, project financing guarantee, operator credit rating, housing market, and regional characteristics.