• Journal of the Korean Institute of Intelligent Systems
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• v.23 no.4
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• pp.348-353
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• 2013

Recently, control theory including stochastic optimal control and various machine-learning-based artificial intelligence methods have become major tools in the field of financial engineering. In this paper, we briefly review some recent papers utilizing stochastic optimal control theory in the fields of the pair trading for mean-reverting markets and the trend-following strategy, and consider a couple of strategies utilizing both stochastic optimal control theory and machine learning methods to acquire more flexible and accessible tools. Illustrative simulations show that the considered strategies can yield encouraging results when applied to a set of real financial market data.

• Annual Conference of KIPS
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• 2011.04a
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• pp.1195-1198
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• 2011

인터넷 및 스마트폰 등 모바일 시장의 급성장으로 다양한 채널이 발달하여 금융거래가 급속하게 증가함으로써 시스템 자원이 부족하고 또한, 급변하는 금융시장에서 경쟁력을 잃지 않기 위하여 국내의 금융권 시스템들은 차세대를 진행하면서 경쟁적으로 프레임웍을 도입하여 프로젝트를 진행하였거나 또는 진행하고 있다. 프레임웍은 요청한 거래를 검증하고, 처리하여 결과를 반환할 수 있도록 여러 가지 편의성을 제공하지만, 동일 테이블 데이터를 매 거래마다 데이터베이스를 조회함으로써 데이터베이스 서버의 부하가 증가하고 거래 처리가 지연되는 문제점이 있다. 본 논문에서는 프레임웍 기반의 매 거래마다 동일 데이터를 데이터베이스로부터 질의함으로써 발생하는 거래처리 지연을 극복하고 보다 빠른 응답 처리를 위하여 1) 대부분 조회를 처리하는 테이블에 대해서 테이블 단위로 Primary key을 이용하여 공유메모리에 저장하고, 많은 응용프로그램 간에 공유하는 방식으로 거래를 처리함으로써 디스크 I/O나 네트워크 I/O, DBMS 자체 프로세싱을 크게 감소하여 전제적으로 시스템의 성능을 향상시키며 2) 공유메모리에 저장하고 있는 데이터와 데이터베이스 테이블에 저장된 데이터간의 동기화를 지원하는 Primary key 기반 T-Cache(Table Cache) 알고리즘을 제안한다.

• Asia Marketing Journal
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• v.13 no.4
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• pp.191-212
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• 2012

With the introduction of the Capital Market Integration Act in 2009, the new competitive scope and paradigm is opened in Korean financial services market. The change of financial industry and institutions will lead to the behavioral change of customers who consume and choose financial services. While researches from the financial perspective have been conducted, works from the marketing or customer oriented approach has long been relatively ignored. The purpose of this study is to investigate influencing factors and process of financial services customers' choice behavior. More specifically, the main theme is how to enhance customer brand loyalty and purchase intention through the perception of overall quality of the service product. An integrated conceptual model including antecedents, mediating variables and consequences is established through comprehensive literature reviews of extant works on environmental change, customer behavioral change and choice behaviors. Hypothesis testing is done with SEM analysis. According to the results, the attractiveness of financial product, the reputation of financial firm, and self-brand image congruence among exogenous variables make a positive effect on perceived overall quality. And perceived overall quality has a significant effect on brand loyalty.

• Information and Communications Magazine
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• v.33 no.2
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• pp.66-72
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• 2016

지난해 12월 3일, 금융위원회(이하"금융위")는 금융개혁 정례 기자간담회에서 그 동안의 금융개혁 성과를 발표하였다. 지난 3월 금융개혁 추진방향 마련 시 50개의 금융개혁 실천과제를 선정하고, 규제개혁 과정에서 20개 과제를 추가 발굴하여 총 70개의 금융개혁 실천과제를 선정하였고, 그 중 (1) 제도개선이 완료되어 시행중인 과제가 24건, (2) 일부 시행중인 과제가 17건, (3) 방안은 발표했으나, 법령 개정 등 제도개선 중인 과제가 16건, 마지막으로 (4) 방안을 마련중인 과제 즉 미발표 과제가 총 13건인 것으로 밝혀졌다. 금융개혁 실천과제 중, 핀테크 생태계 구축과 관련된 과제는 5건, 인터넷 전문은행 도입과 관련된 과제는 2건 그리고 빅데이터 활성화와 관련된 과제는 2건으로 직접적인 핀테크 산업 활성화와 관련된 과제는 총 9개라고 볼 수 있다. 이 중에서 6건의 과제는 이미 제도개선이 완료되어 시행되고 있으며, 나머지 3건은 방안은 발표되었으나, 법령 개정 등 제도개선이 필요한 상태이다. 여전히 은산분리 규제 완화를 위한 은행법 개정 이슈, 신용정보법 개정을 통한 빅데이터 산업 활성화 등은 여전히 제도개선 과제나 규제 완화 방안이 구체화되지 않은 단계이다. 금융당국은 금융산업에 대해서 오프라인 산업으로서 규제마인드를 갖고 있다. 국경을 넘나들며 금융서비스가 제공되는 시대에 오프라인 산업 관점의 전통적 금융규제들을 재검토해야 한다. 금융산업에서 핀테크와 쉽게 결합하여 서비스를 창출하고, 시장에서 경쟁할 수 있도록 하는 관점에서 기존의 규제들을 재평가해야 한다. 인터넷에서는 국경을 넘어선 서비스를 막을 수 없으므로 국내형 규제에 얽매인 국내 금융회사들은 혁신적 서비스를 도입할 수 없어 궁극적으로 글로벌 인터넷 거인들이 결국 국내 금융회사들의 사업 기회를 빼앗아 가게 될 것이다. 글로벌 인터넷 기업들이 국내 금융기관을 지배하게 될 것이라는 숙명을 빨리 깨닫고 과거의 관점에서 벗어나 온라인 서비스로 기존의 서비스를 변경하는 노력이 필요하다. 결국 금융산업은 핀테크 기업들과 협업하여 기존의 규제를 완화하거나 서비스에 맞게 변화시키고, 과감하게 폐지하는 것이 필요하다.

• Korea Real Estate Review
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• v.28 no.2
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• pp.21-34
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• 2018

The purpose of this study is to investigate the effect of macro-finance variables on the correlation between the housing and stock markets because understanding the nature of time-varying correlations between different assets has important implications on portfolio allocation and risk management. Thus, we adopted the AG-DCC GARCH model to obtain time-varying, conditional correlations. Our sample ranged from January 2004 to November 2017. Our empirical result showed that the coefficients on asymmetric correlation were significantly positive, implying that correlations between the housing and stock markets were significantly higher when changes in the housing price and stock returns were negative. This finding suggested that the housing market has less hedging potential during a stock market downturn, when such a hedging strategy might be necessary. Based on the regression analysis, we found that the term spread had a significantly negative effect on correlations, while the credit spread had a significantly positive effect. This result could be interpreted by the risk premium effect.

• KDI Journal of Economic Policy
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• v.31 no.2
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• pp.15-45
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• 2009

This paper estimates the term structure of interest rates with the setup of 3-factor no arbitrage model and investigates the trend of term premia and the effectiveness of changes in policy interest rates. The term premia are found to be high in a three-year medium term objective, which can be interpreted as reflecting the recognition of investors who expect a higher uncertainty in real activities for the coming three years than for a longer term. Then, in order to look into the effect of policy interest rates after the recent change of benchmark interest rate, this paper analyzes the effects of the changes in short-term interest rates of the financial market on the yield curve of the bond market at time of change. Empirical results show that the discrepancy between call rate, short-term rate in money market, and instantaneous short rate, short-term rate in the bond market, is found to be significantly widened, comparing to the periods before the change in benchmark interest rate. It is not easy to conclude clearly for now whether such a widening gap is caused by the lack of experiences with managing new benchmark interest rate or is just an exceptional case due to the recent turmoil in the global financial market. However, monetary policy needs to be operated in a manner that could reduce the gap to enhance its effectiveness.

• KDI Journal of Economic Policy
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• v.28 no.2
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• pp.239-262
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• 2006

The paper suggests that there has been a shift in the allocation of bank credit from large firms to small firms before and after the economic crisis. The paper also suggests that the improved lending practices of financial institutions, at least partially, contributed to this shift of corporate loans from large firms to small firms. Comparing the periods before and after the economic crisis also suggests that some important changes occurred to the corporate bond market. The effect of firm size on the corporate bond market differs before and after the economic crisis. Before the crisis, the larger the firms, the more they could borrow in the corporate bond market. However, after the crisis, it is not the case. The following interpretation could be put forward. Before the crisis, investors in the corporate bond market expected that the government would rescue large firms if they face the risk of bankruptcies. However, the collapse of Daewoo Group in 1999 shattered the TBTF (Too Big To Fail) myth of the public. The liquidity crisis of Hyundai Group in 2000-2001 reinforced the disintegration of the TBTF myth.

• Journal of Digital Convergence
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• v.13 no.5
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• pp.237-244
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• 2015

Export-led policies, FTA signed and economics of scale through a variety of market-oriented policies, such as regulations to improve market grew constantly. Accordingly, the correct decision making accurately analyze the economics market for decision, a problem has been an important issue in predicting. For accurate analysis and decision-making of the most common indicators of the stock market by proposing a number of indicators of economic transformation techniques were applied to the convergence model combining estimation and forecasts problem confirmed its effectiveness. Experimental result, gave the model estimation method to apply a transform to show the valid combinations proposed model state estimation result was confirmed in a very similar exercise aspect of the physical problem and the KOSPI index prediction.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 1999.05a
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• pp.131-137
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• 1999

In order to operate Internet Banking, there is a important thing to precede, That is to carry out a scheme of one-stop to let clients transact anything they want to buy and establish the preservation of public security system between existing banking networks. (of course, that should be designed handily to the clients). In this paper, the protocol which is determined between banking network and Internet to maintain the preservation of public security. In other words, each XPM(X.25 Packet Manager) is a program to manage both system security and service at each other side; manage all packets which are connected by X.25 protocol. If other condition like law and institution is improved, it will be adopted to real operation with various service. Further more, we tan construct Electronic Commerce and adopt various digital money like electronic coin or check.

• Journal of Technology Innovation
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• v.20 no.1
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• pp.45-73
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• 2012

In this paper, we analyse empirically the effects of financial characteristics on the relationship between R&D investment and market value of firms listed on Korea Exchange. The main results of this study can be summarized as follows. Firm size increase the market valuation of R&D investment because it provides economies of scale, easier access to capital market, and R&D cost spreading. Market share also positively effects the relationship between R&D investment and firm value. Alternatively, free cash flow has a negative effect on the relationship between R&D investment and firm value because firms with high free cash flow could be tempted to use the free cash flow to undertake negative NPV projects. The dependence on external finance is a handicap negatively assessed by the market when firms undertake R&D projects due to the higher information asymmetry associated with this kind of project. Labor intensity has a negative effect on the relationship between R&D investment and firm value because the abnormal profits arising from R&D investment are diluted among employees. Capital intensity also has a negative effect on the relationship between R&D investment and firm value due to the greater financial constraints faced by capital intensive firms. In conclusion, several financial characteristics(firm size and market share) positively effect the relationship between R&D investment and firm value, while others(free cash flow, dependence on external finance, labor intensity, and capital intensity) exert a negative effect. Therefore, we conclude that the effectiveness of R&D investment depends on these financial characteristics.