• The Journal of Society for e-Business Studies
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• v.17 no.3
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• pp.73-84
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• 2012

With transition to Knowledge society and introduction of information industry, there are many companies which have higher stock price than the suggested value from its financial information. To explain similar cases in capital markets, many researchers focus on non-financial information such as Web Traffic data or intangible assets such as intellectual property rights rather than traditional financial analysis. Besides, the relationships between financial and non-financial information with firm value are changed according to industry lifecycle. As Industry grows, financial information of company is more important for firm valuation in Capital market. We'd like to review the changes of relationships between financial information and firm valuation in Capital market especially for "Software", "Digital Contents", and "Internet" companies listed in Kosdaq market during 2000~2011. The result of data analysis shows the financial information gets more important after 2007. Inversely, it provides analytical bases that related industry gets mature. Also we show that intangible properties are more relevant to stock price of those technical based companies than others.

• Journal of Intelligence and Information Systems
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• v.26 no.1
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• pp.135-149
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• 2020

Artificial intelligences are changing world. Financial market is also not an exception. Robo-Advisor is actively being developed, making up the weakness of traditional asset allocation methods and replacing the parts that are difficult for the traditional methods. It makes automated investment decisions with artificial intelligence algorithms and is used with various asset allocation models such as mean-variance model, Black-Litterman model and risk parity model. Risk parity model is a typical risk-based asset allocation model which is focused on the volatility of assets. It avoids investment risk structurally. So it has stability in the management of large size fund and it has been widely used in financial field. XGBoost model is a parallel tree-boosting method. It is an optimized gradient boosting model designed to be highly efficient and flexible. It not only makes billions of examples in limited memory environments but is also very fast to learn compared to traditional boosting methods. It is frequently used in various fields of data analysis and has a lot of advantages. So in this study, we propose a new asset allocation model that combines risk parity model and XGBoost machine learning model. This model uses XGBoost to predict the risk of assets and applies the predictive risk to the process of covariance estimation. There are estimated errors between the estimation period and the actual investment period because the optimized asset allocation model estimates the proportion of investments based on historical data. these estimated errors adversely affect the optimized portfolio performance. This study aims to improve the stability and portfolio performance of the model by predicting the volatility of the next investment period and reducing estimated errors of optimized asset allocation model. As a result, it narrows the gap between theory and practice and proposes a more advanced asset allocation model. In this study, we used the Korean stock market price data for a total of 17 years from 2003 to 2019 for the empirical test of the suggested model. The data sets are specifically composed of energy, finance, IT, industrial, material, telecommunication, utility, consumer, health care and staple sectors. We accumulated the value of prediction using moving-window method by 1,000 in-sample and 20 out-of-sample, so we produced a total of 154 rebalancing back-testing results. We analyzed portfolio performance in terms of cumulative rate of return and got a lot of sample data because of long period results. Comparing with traditional risk parity model, this experiment recorded improvements in both cumulative yield and reduction of estimated errors. The total cumulative return is 45.748%, about 5% higher than that of risk parity model and also the estimated errors are reduced in 9 out of 10 industry sectors. The reduction of estimated errors increases stability of the model and makes it easy to apply in practical investment. The results of the experiment showed improvement of portfolio performance by reducing the estimated errors of the optimized asset allocation model. Many financial models and asset allocation models are limited in practical investment because of the most fundamental question of whether the past characteristics of assets will continue into the future in the changing financial market. However, this study not only takes advantage of traditional asset allocation models, but also supplements the limitations of traditional methods and increases stability by predicting the risks of assets with the latest algorithm. There are various studies on parametric estimation methods to reduce the estimated errors in the portfolio optimization. We also suggested a new method to reduce estimated errors in optimized asset allocation model using machine learning. So this study is meaningful in that it proposes an advanced artificial intelligence asset allocation model for the fast-developing financial markets.

• The Journal of Small Business Innovation
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• v.19 no.1
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• pp.37-58
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• 2016

Despite the growing importance of corporate venture capital (CVC) in the venture capital market, little scholarly attention has been devoted to cross-border CVC investment. Venture firms perceive higher risks of technology leakage in cross-border CVC investment than they do in domestic CVC investment due to geographical and cultural disparity. Given that venture firms would not receive CVC investment in the presence of the partner uncertainty, we argue that the likelihood of cross-border CVC investment increases with the strength of intellectual property protection (IPP) regime, the investment timing (i.e. funding round number), and the industry unrelatedness with the corporate investor. Additionally, we investigate how the venture firm's complementary resource need interact with the partner uncertainty in decisions for cross-border CVC investment. By examining 2,873 CVC investment transactions in the period 1994-2009, we found supporting evidence for the strength of IPP regime and the industry unrelatedness in mitigating the partner uncertainty of foreign corporate investors. However, the effectiveness of these factors is moderated by the type of resources that the venture firms need from the foreign corporate investors.

• Convergence Security Journal
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• v.17 no.5
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• pp.133-142
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• 2017

Breaking away from the blind faith of internal military security network, current military security demands strengthening measure on the H/W, controlling measure against information communications within the military, strengthening measure on the linkage point of the military and universal internal networks, legal supplementation, sucurity management ofn the military facilities from outsourcing services supporting the military. By analyzing the danger of military organizations hacking and real hacking cases, policy establishment for strengthening the security on military network hacking, legal supplementation and controlling measure for the outsourcing services are the pragmatic counter measures against military security hacking considering the peculiarities of military rather than the application of physical containment linked with information communications technology on the H/W safety measures.

• Journal of Korea Technology Innovation Society
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• v.17 no.1
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• pp.174-194
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• 2014

Collaborative technology development is now one of the most significant modes of activity in the global scientific community. However, the international cooperation of science and technology simultaneously provides opportunities and challenges, and the results of global R&D collaboration can be positive or negative as the cooperation conditions of the parties may be different according to the types or characteristics of the participants and the pattern, purpose, and motivation of cooperation. In order to minimize the risk and improve the performance of cooperation, more comprehensive as well as micro-level research is needed. This study investigates a case of successful collaborative R&D conducted by several firms, universities, and public research organizations in both Korea and the U.S.A. The aim of this study is to identify the factors of successful R&D collaboration.

• The Korean Journal of Financial Management
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• v.20 no.1
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• pp.279-304
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• 2003

This study presents some empirical results on variable rate deposit insurance premium in Korea. The study estimates deposit insurance premium for all insured financial institutions in Korea using Ronn and Verma(1986) model which is based on Merton(1977)'s option pricing model. The sample period is 1995-2001 and the study includes trend analysis and cross-sectional analysis for premium estimation. The study also includes the correlation analysis between the estimates and profitability and capitalvariables such as BIS capital ratios, ROE and ROA. The results show that the estimates differ across financial institutions and sample periods. Thus it supports that each deposit premium should reflect its own risks. It also supports the necessity for the system of variable rate deposit insurance premium.

• KDI Journal of Economic Policy
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• v.14 no.2
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• pp.109-153
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• 1992

This paper estimates a translog cost function for the Korea's banking industry and derives various implications on the prospect for the Korean banking structure in the future based on the estimated efficiency indicators for the banking sector. The Korean banking industry is permitted to operate trust business to the full extent and the security business to a limited extent, while it is formally subjected to the strict, specialized banking system. Security underwriting and investment businesses are allowed in a very limited extent only for stocks and bonds of maturity longer than three year and only up to 100 percent of the bank paid-in capital. Until the end of 1991, the ceiling was only up to 25 percent of the total balance of the demand deposits. However, they are prohibited from the security brokerage business. While the in-house integration of security businesses with the traditional business of deposit and commercial lending is restrictively regulated as such, Korean banks can enter the security business by establishing subsidiaries in the industry. This paper, therefore, estimates the efficiency indicators as well as the cost functions, identifying the in-house integrated trust business and security investment business as important banking activities, for various cases where both the production and the intermediation function approaches in modelling the financial intermediaries are separately applied, and the banking businesses of deposit, lending and security investment as one group and the trust businesses as another group are separately and integrally analyzed. The estimation results of the efficiency indicators for various cases are summarized in Table 1 and Table 2. First, security businesses exhibit economies of scale but also economies of scope with traditional banking activities, which implies that in-house integration of the banking and security businesses may not be a nonoptimal banking structure. Therefore, this result further implies that the transformation of Korea's banking system from the current, specialized system to the universal banking system will not impede the improvement of the banking industry's efficiency. Second, the lending businesses turn out to be subjected to diseconomies of scale, while exhibiting unclear evidence for economies of scope. In sum, it implies potential efficiency gain of the continued in-house integration of the lending activity. Third, the continued integration of the trust businesses seems to contribute to improving the efficiency of the banking businesses, since the trust businesses exhibit economies of scope. Fourth, deposit services and fee-based activities, such as foreign exchange and credit card businesses, exhibit economies of scale but constant returns to scope, which implies, the possibility of separating those businesses from other banking and trust activities. The recent trend of the credit card business being operated separately from other banking activities by an independent identity in Korea as well as in the global banking market seems to be consistent with this finding. Then, how can the possibility of separating deposit services from the remaining activities be interpreted? If one insists a strict definition of commercial banking that is confined to deposit and commercial lending activities, separating the deposit service will suggest a resolution or a disappearance of banking, itself. Recently, however, there has been a suggestion that separating banks' deposit and lending activities by allowing a depository institution which specialize in deposit taking and investing deposit fund only in the safest securities such as government securities to administer the deposit activity will alleviate the risk of a bank run. This method, in turn, will help improve the safety of the payment system (Robert E. Litan, What should Banks Do? Washington, D.C., The Brookings Institution, 1987). In this context, the possibility of separating the deposit activity will imply that a new type of depository institution will arise naturally without contradicting the efficiency of the banking businesses, as the size of the banking market grows in the future. Moreover, it is also interesting to see additional evidences confirming this statement that deposit taking and security business are cost complementarity but deposit taking and lending businesses are cost substitute (see Table 2 for cost complementarity relationship in Korea's banking industry). Finally, it has been observed that the Korea's banking industry is lacking in the characteristics of natural monopoly. Therefore, it may not be optimal to encourage the merger and acquisition in the banking industry only for the purpose of improving the efficiency.

• Journal of Convergence for Information Technology
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• v.7 no.5
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• pp.169-175
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• 2017

Accounting information systems (AIS) capture and process accounting data and provide valuable information for decision makers. However, in a rapidly changing environment, continual management of the AIS is necessary for organizations to optimize performance outcomes. I suggest that building a dynamic AIS capability enables accounting process and organizational performance. Using the dynamic capabilities framework (Teece 2007). I propose that a dynamic AIS capability can bedeveloped through the synergy of three competencies: having (1) a flexible AIS, (2) a complementary business intelligence system, and (3) accounting professionals with IT technical competency. Using survey data, I find evidence of a positive association between a dynamic AIS capability, accounting process performance, and overall firm performance. The results suggest that developing a dynamic AIS resource can add value to an organization. This study provides guidance for organizations looking to leverage the performance outcomes of their environment.

• Journal of Korea Technology Innovation Society
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• v.11 no.4
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• pp.565-591
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• 2008

Using theories of sectoral innovation system and supply chain management, this paper examines the status quo of Korean IT SoC industry's innovation system by comparing it with Taiwanese one. Taiwan IT SoC industry has accomplished a rapid growth on the basis of government policies that foster domestic firms after the establishment of Hsinchu Science Park. Cooperative networks between foundries firms and fablesses have been formed within the supply chain in this process. Therefore, Taiwan industry has possessed the possibility of the coevolution in sectoral innovation system. However, Korean IT SoC industry has failed to form cooperative networks, because of weak networks between related firms. In other words, there exists an interaction failure, which is a kind of the system failure, and it means a lack of linkage between actors as a result of insufficient use of complementarities and interactive learning. Therefore, Korean industry has little possibility of the coevolution in sectoral innovation system. The cooperative networks between actors are prerequisite towards evolution of innovation system of Korean IT SoC industry. Above all, the cooperative networks between fablesses and system companies need to be strengthened within the supply chain.

• The Korean Journal of Financial Studies
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• v.6 no.1
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• pp.23-45
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• 2000

기존연구에 의하면 무상증자의 공시는 공시기간 중 정(+)의 가격효과를 초래하는 것으로 나타나고 있다. 무상증자에 대한 이러한 시장의 호의적인 반응을 설명하기 위해 여러 가설이 제기되어 왔으며, 그 중 무상증자는 좋은 내부정보를 외부에 신빙성 있게 전달하는 신호기제가 될 수 있다는 신호가설이 특히 지지를 받고 있다. 그런데 짧은 공시기간 중의 정(+)의 주가반응만을 보고 신호가설이 지지된다고 단정짓는데는 무리가 있다. 본 연구에서는 과연 신호가설이 주장하는 것처럼 무상증자가 사업기회의 확대, 미래현금흐름의 증대, 추후 차입여력의 증대를 가져오는가를 더 면밀히 검증하기 위하여 무상증자 실시기업의 장기성과를 조사하였다. 본 연구의 특징은 (1)공시기간 이후의 1년 이내의 기간에 중점을 둔 대부분의 기존연구와 달리 증자 후 36개월간의 장기성과를 측정하였으며, (2)주가수익률 자료와 회계자료를 동시에 이용하여 장기성과를 조사하였고, (3)장기 초과수익률 측정과 검증에 있어 통계적 오류가 있는 누적초과수익률(CAR)을 보완하기 위해 매입보유초과수익률(BHAR)을 사용했으며, 이를 위해 엄격한 기준을 적용하여 표본기업과 비교기업을 선정하였다는 데 있다. 실증분석 결과 신호가설을 지지하는 증거는 발견하지 못하였으며 오히려 무상증자 실시기업이 시장평균 또는 비교기업인 비증자기업에 비해 장기적으로 주가수익률 및 영업성과에 있어 저성과를 보이는 증거를 상당 수 발견하였다. 구체적으로 동일가중평균수익률로 조정한 보유기간 초과수익률의 경우 증자 후 1개월에서 24개윌까지의 BHAR이 5% 미만 수준에서 부(-)의 값을 보였으며, 비모수통계치를 사용할 경우 $1{\sim}36$개월까지의 전기간에서 유의한 부(-)의 저성과를 보이고 있다. 또한 영업성과면에서도 증자기업이 비증자기업에 비해 증자 후 수익성과 현금흐름이 저조하게 나타나고 있다.해 현물시장의 수익률, 변동성이 높은 것으로 나타났으나, 변경후에는 현물시장에 비해 선물시장의 수익률 변동성이 높은 것으로 나타났다. VAR 분석에 의하면 변경후가 변경전에 비하여 선물이 현물을 선도하는 시차가 다소 커진 것으로 나타나 현물시장과 선물시장이 동시에 가격제한폭 확대후에 비효율적으로 되었다는 의미로 판단된다.기간에서는 선물의 15분 선도효과와 현물의 1분 선도효과가 발견되어 선물의 선도효과가 지배적임을 발견하였다.적 일정하게 하는 소비행동을 목표로 삼고 소비와 투자에 대한 의사결정을 내리고 있음이 실증분석을 통하여 밝혀졌다. 투자자들은 무위험 자산과 위험성 자산을 동시에 고려하여 포트폴리오를 구성하는 투자활동을 행동에 옮기고 있다.서, Loser포트폴리오를 매수보유하는 반전거래전략이 Winner포트폴리오를 매수보유하는 계속거래전략보다 적합한 전략임을 알 수 있었다. 다섯째, Loser포트폴리오와 Winner포트폴리오를 각각 투자대상종목으로써 매수보유한 반전거래전략과 계속거래 전략에 대한 유용성을 비교검증한 Loser포트폴리오와 Winner포트폴리오 각각의 1개월 평균초과수익률에 의하면, 반전거래전략의 Loser포트폴리오가 계속거래전략의 Winner포트폴리오보다 약 5배정도의 높은 1개월 평균초과수익률을 실현하였고, 반전거래전략의 유용성을 충분히 발휘하기 위하여 장단기의 투자기간을 설정할 경우에 6개월에서 36개월로 이동함에 따라 6개월부터 24개월까지는 초과수익률이 상승하지만, 이후로는 감소하므로, 반전거래전략을 활용하는 경우 주식투자기간은 24개월이하의 중단기가 적합함을 발견하였다. 이상의 행태적 측면과 투자성과측면의 실증결과를 통하여 한국주식시장에 있어서 시장수익률을 평균적으로 초과할 수 있는 거래전략은 존재하므로 이러한 전략을 개발 및 활용할 수 있으며, 특히, 한국주식시장에 적합한 거래전략은 반전거래전략이고, 이 전략의 유용성은