• 주택과사람들
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• s.207
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• pp.98-99
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• 2007

본격적인 휴가철을 앞두고 부동산 시장은 한산한 모습을 보인 가운데 소형 아파트에 대한 수요도 소폭 감소하는 등 거래 시장은 잠정 휴업 상태를 보일 것으로 예상된다. 또한 콜금리 인상에 따른 이자부담 가중과 제2금융권 대출규제 확대로 수요자들의 관망세가 더욱 짙어지고 있기 때문이다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.22 no.4
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• pp.851-868
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• 2012

After the financial crisis in 2008, the financial market still seems to be unstable with expanding the insolvency of the financial companies' real estate project financing loan in the aftermath of the lasted real estate recession. Especially after the illegal actions of people's financial institutions disclosed, while increased the anxiety of economic subjects about financial markets and weighted in the confusion of financial markets, the potential risk for the overall national economy is increasing. Thus as economic recession prolongs, the people's financial institutions having a weak profit structure and financing ability commit illegal acts in a variety of ways in order to conceal insolvent assets. Especially it is hard to find the loans of shareholder and the same borrower sharing credit risk in advance because most of them usually use a third-party's name bank account. Therefore, in order to effectively detect the fraud under other's name, it is necessary to analyze by clustering the borrowers high-related to a particular borrower through an analysis of association between the whole borrowers. In this paper, we introduce Analysis Techniques for detecting financial loan frauds in advance through an analysis of association between the whole borrowers by extending SNA(social network analysis) which is being studied by focused on sociology recently to the forensic accounting field of the financial frauds. Also this technique introduced in this pager will be very useful to regulatory authorities or law enforcement agencies at the field inspection or investigation.

• Management & Information Systems Review
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• v.34 no.3
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• pp.17-39
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• 2015

This study examined the structural changes and volatility in the global stock markets using a Markov Regime Switching ARCH model developed by the Hamilton and Susmel (1994). Firstly, the US, Italy and Ireland showed that variance in the high volatility regime was more than five times that in the low volatility, while Korea, Russia, India, and Greece exhibited that variance in the high volatility regime was increased more than eight times that in the low. On average, a jump from regime 1 to regime 2 implied roughly three times increased in risk, while the risk during regime 3 was up to almost thirteen times than during regime 1 over the study period. And Korea, the US, India, Italy showed ARCH(1) and ARCH(2) effects, leverage and asymmetric effects. Secondly, 278 days were estimated in the persistence of low volatility regime, indicating that the mean transition probability between volatilities exhibited the highest long-term persistence in Korea. Thirdly, the coefficients appeared to be unstable structural changes and volatility for the stock markets in Chow tests during the Asian, Global and European financial crisis. In addition, 1-Step prediction error tests showed that stock markets were unstable during the Asian crisis of 1997-1998 except for Russia, and the Global crisis of 2007-2008 except for Korea and the European crisis of 2010-2011 except for Korea, the US, Russia and India. N-Step tests exhibited that most of stock markets were unstable during the Asian and Global crisis. There was little change in the Asian crisis in CUSUM tests, while stock markets were stable until the late 2000s except for some countries. Also there were stable and unstable stock markets mixed across countries in CUSUMSQ test during the crises. Fourthly, I confirmed a close relevance of the volatility between Korea and other countries in the stock markets through the likelihood ratio tests. Accordingly, I have identified the episode or events that generated the high volatility in the stock markets for the financial crisis, and for all seven stock markets the significant switch between the volatility regimes implied a considerable change in the market risk. It appeared that the high stock market volatility was related with business recession at the beginning in 1990s. By closely examining the history of political and economical events in the global countries, I found that the results of Lamoureux and Lastrapes (1990) were consistent with those of this paper, indicating there were the structural changes and volatility during the crises and specificly every high volatility regime in SWARCH-L(3,2) student t-model was accompanied by some important policy changes or financial crises in countries or other critical events in the international economy. The sophisticated nonlinear models are needed to further analysis.

• 한국경영정보학회:학술대회논문집
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• 2007.06a
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• pp.147-153
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• 2007

모바일 정보통신 사용자들에게 있어서 모바일 상거래는 기존에 존재하던 정보에 대한 통신 및 네트워크 접속 등 이용상의 제약을 뛰어넘어 정보이용의 활성화에 있어 주요한 전환점을 가져오고 있다. 모바일과 같은 정보통신기술의 발달로 금융정보화 투자가 촉진되어 금융중개기관의 경영전략 사무합리화 업무효율화 및 고객과의 관계 등과 같은 부분에서 여러 가지 변화가 일어나게 되었다. 금융산업계에서는 고객들의 금융 서비스 욕구가 다양해지고, 고객 중심의 금융시장으로의 전이로 인해 고객을 최우선으로 하고 고객과의 관계를 효과적으로 구축하기 위한 경쟁이 치열하다. 그 노력의 일환으로 IT기술을 활용한 CRM(Customer Relationship Management)을 금융산업의 중요한 전략 중 하나로 추진하고 있다. 하지만, 모바일 환경을 고려한 CRM 성공요소들이 CRM 성과에 미치는 영향에 대한 연구는 여전히 부족한 편이다. 따라서 본 연구의 주목적은 모바일 기술의 대표적 특성인 이동성과 편재성이 CRM 성공요소(최고경영자지원, 고객지향 조직문화, 부서간 상호작용, 고객정보 통합성)와 CRM 성과 사이에서 어떤 영향을 미치는지에 대해 실증적으로 규명하고자 하는데 그 목적이 있다.

• Information and Communications Magazine
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• v.33 no.2
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• pp.52-58
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• 2016

핀테크는 금융과 기술을 결합한 용어로 글로벌 ICT 기업이 폭넓은 사용자 기반을 바탕으로 송금, 결제, 대출, 자산관리 등 각종 금융서비스를 결합하여 제공하는 새로운 유형의 금융서비스를 말한다. 핀테크의 등장은 스마트폰 이용의 보편화로 소비자의 소비행태가 모바일 중심으로 변화하고 있고, 빅데이터 분석 등으로 소비자에게 맞춤형 금융서비스가 가능해진 환경에 기인한다. 핀테크는 전자상거래와 금융서비스가 새롭게 만나면서 자연스럽게 나타나는 현상이다. 핀테크는 기술을 핵심 요소로 하는 금융서비스 혁신으로 파괴적 혁신이라는 특징을 지닌다. 본고에서는 서론에서 핀테크의 정의, 발전 배경을 살펴보고, 본론에서 시장동향과 주요 기업의 사례 분석과 핀테크에 의한 금융 혁신 및 금융회사의 대응 동향을 살펴보았으며, 나아가 핀테크 성공요인 및 주요국의 핀테크 정책을 살펴 보았다. 결론에서는 우리나라의 현황 분석 및 대응 방향을 제시하였다. 정부는 올해 들어 창조경제의 일환으로 '핀테크 육성'을 금융 개혁의 핵심이슈로 선정하고 개혁을 추진 중에 있다. 정부는 핀테크 창업을 통해서 청년문제 등 일자리 문제를 해소하고, 중위험/중금리 사업모델인 인터넷전문은행의 선정, 각종 규제의 개선 등으로 우리경제가 저성장의 늪에서 벗어나 재도약하는 디딤돌이 되길 기대하고 있다.

• Journal of Digital Convergence
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• v.13 no.1
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• pp.111-124
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• 2015

The economic growth in China takes the step of the Internet/Mobile revolution together. The high internet penetration provided the opportunity to increase the e-commerce market with fast speed. However, due to imbalance of the growth speed and preparation, the problems on various infrastructures and regulations were generated. Therefore, this study investigateed the current status of e-commerce market and sub-categories. This study also discussed about the problem of e-commerce logistics system, consumer protection, R&D investment, and human resources and provided the considerations for the future improvement. Finally, this study diagnosed the mobile payment and internet finance market and new e-commerce tax regulation, and then suggested institutional implications for the international standardization. This study is meaningful to provide the first implication to the Korean exporters after Chinese government had announced market open strategy for the 5 year e-commerce development plan.

• The Korean Journal of Applied Statistics
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• v.24 no.1
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• pp.103-114
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• 2011

Current series for testing stock market cointegrations tend to be restricted to analyzing the relations between stock market prices and may not be able to understand the whole picture of the variations in the stock market system. The nature of the variations in the stock prices, between the countries that experienced economic crisis and those did not, are different for a certain period of time, and accordingly excluding the potentially important variables in the stock market system causes statistical bias. This study considers domestic foreign exchange markets and financial markets in testing for the cointegrating relations of the stock prices in Korea and major investing countries. The results demonstrate the possibility of specification errors unless those markets are included in the statistical modeling process.

• Journal of Digital Convergence
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• v.20 no.3
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• pp.131-143
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• 2022

Focusing on FinTech keywords, this study is analyzing newspaper articles and Twitter data by using text mining methodology in order to understand trends in the industry of domestic digital financial service. In the growth of FinTech lifecycle, the frequency analysis has been performed by four important points: Mobile Payment Service, Internet Primary Bank, Data 3 Act, MyData Businesses. Utilizing frequency analysis, which combines the keywords 'China', 'USA', and 'Future' with the 'FinTech', has been predicting the FinTech industry regarding of the current and future position. Next, sentiment analysis was conducted on Twitter to quantify consumers' expectations and concerns about FinTech services. Therefore, this study is able to share meaningful perspective in that it presented strategic directions that the government and companies can use to understanding future FinTech market by combining frequency analysis and sentiment analysis.

• The Journal of the Korea Contents Association
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• v.15 no.8
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• pp.473-480
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• 2015

The purpose of this study is to analyze the influence of the cash flow of pharmaceutical companies on R&D investment. 143 pharmaceutical companies listed in the KOSDAQ market from 2009 to 2013. Financial statements and comments in general and internal transactions were extracted from TS-2000 of the Korea Listed Company Association (KLCA), and data related to stock price was extracted from KISVALUE-III of NICE Information Service Co., Ltd. STATA 12.0 was used as the statistical package for panel analysis. The summary of the findings and the interpretation of the significance of this are as follows: First, the current ratio (internal finance) had a positive influence on R&D investment. Second, the debt ratio (external finance) had a negative influence on R&D investment. The pharmaceutical company prefers internal funds to external funds due to the asymmetry of information in the loan markets. In other words, this shows why internal finances have a significant influence on R&D investment at pharmaceutical companies.

• The Journal of the Korea institute of electronic communication sciences
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• v.12 no.3
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• pp.499-506
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• 2017

Consideration of influential factors through division of capital market sector and interest rate sector to find and resolve the problems in current housing market and leasing market will become an important index to prepare measures for stabilization of housing sales market and housing lease market. Furthermore, a guideline will be provide you with preliminary data using Big Data to prepare for sudden price fluctuation because expected economic crisis, stock market situation, and uncertain future financial crisis can be predicted which may help anticipate real estate price index such as housing sales price index and housing lease price index.