• 한국콘텐츠학회논문지
• /
• 제12권9호
• /
• pp.357-368
• /
• 2012

본 연구는 금융위기 이후 새로운 질서로 부상되고 있는 '뉴 노멀'시대하 거시적 관점에서 한국기업의 R&D투자가 한국의 무역에 미치는 영향을 장 단기적 측면에서 실증적으로 규명하고자 하였다. 먼저 뉴노멀시대의 특징과 기업의 R&D투자현황을 분석한 다음, 기업의 R&D투자가 무역에 미치는 영향을 분석하였다. 이를 위해 시계열 자료인 무역량 변수들의 안정성 검정을 위하여 단위근 검정과 공적분 검정을 실시하였다. 또한 R&D투자의 변동성이 무역량 변수들에 미치는 동태적 영향을 보기 위해 백터오차수정 모형에 기초한 충격반응 및 분산분해를 실시하였다. 분석결과 수출, 수입, 수출/수입, R&D지출 모두 장기적으로 안정적인 공적분관계에 있는 것으로 나타났다. 인과관계 검정에서는 기업의 R&D 지출이 여타 변수에 대하여 단기와 장기 모두 일방적인 인과관계가 존재하는 것으로 나타났다. 충격반응함수 분석에서는 기업의 R&D지출의 충격에 대하여 무역량 모두 정(+)의 영향을 받으며 특히 수입보다는 수출부문에 더 큰 영향을 받으면서 장기간에 걸쳐 안정적인 추세로 수렴되었다. 예측오차의 분산분해의 결과는 기업의 R&D지출의 변동성이 무역량 변수들의 분산에 상당한 영향을 미치는 것으로 나타났다.

• 인터넷정보학회논문지
• /
• 제6권3호
• /
• pp.1-16
• /
• 2005

본 논문은 모바일 전자 상거래 환경에서 투자 신탁을 위한 MDIT(Mobile Digital Investment Trust) 에이전트 설계를 제안하고 또한 이 MDIT에서 모바일 전자 상거래 환경이 가지고 있는 기억 장치 용량, CPU 처리 속도 문제, 그리고 보안 강화 문제점을 해결하기 위해, 비밀키 암호 알고리즘인 3BC(Bit, Byte end Block Cypher)와 공개키 알고리즘인 F2mECC 설계를 제안한다. 특히, MDIT는 모바일 전자상거래에 투자 신탁의 개념을 도입한 은행 업무 보안 프로토콜로서 공개키 알고리즘인 ECC를 이용해 공유 비밀키를 생성한 후, 이 값을 공유 비밀키를 대칭키로 사용하는 블록 암호화 기법인 3BC에 사용하여, 보안 기능을 강화시키고, 처리속도를 감소시킨 MDIT 보안 에이전트를 구축하였다.

• The Journal of Asian Finance, Economics and Business
• /
• 제7권2호
• /
• pp.99-106
• /
• 2020

CEOs Overconfidence can bring potentially risky early decisions to businesses, along with large enterprise free cash flow that can bring different investment decisions with CEOs Overconfidence. Especially in the context of Vietnamese enterprises, CEOs are often influenced by behavioral psychology about overconfidence in investment decisions (due to individual cultural characteristics as well as operating financial markets also depend on many factors outside the market). Therefore, the authors study the impact of overconfidence and cash flow on investment in Vietnamese to find the internal relationship between these three factors in the financial environment in Vietnam. With 480 companies listed on the Vietnam Stock Exchange from 2014 to 2018 (companies have continuous reports), the regression analysis results with panel data (FEM, GLS models, correction of robust and GMM dealing with endogenous problems) have shown Overconfidence has a positive impact on investment. At the same time, the results also indicated that enterprises with overconfident CEOs and large cash flows tend to invest less than enterprises with low cash flow. The results of this study have shown the behavioral behavior of CEOs in Vietnamese enterprises that exist under both prospect theory and effective market theory.

• 유통과학연구
• /
• 제12권4호
• /
• pp.31-39
• /
• 2014

Purpose - This study investigates the following two issues. First, we attempt to find the important determinants of housing investment and to identify their significance rank using survey panel data. Recently, the expansion of global uncertainty in the real estate market has directly and indirectly influenced the Korean housing market; households demonstrate a sensitive reaction to changes in that market. Therefore, this study aims to draw conclusions from understanding how the impact of financial strength of the household is related to house investment. Second, we attempt to verify the effectiveness of diverse indices of financial strength such as DTI, LTV, and PIR as measures to monitor the housing market. In the continuous housing market recession after the global crisis, the government places top priority on residence stability. However, the government still imposes forceful restraints on indices of financial strength. We believe this study verifies the utility of these regulations when used in the housing market. Research design, data, and methodology - The data source for this study is the "National Survey of Tax and Benefit" from 2007 (1st) to 2011 (5th) by the Korea Institute of Public Finance. Based on this survey data, we use panel data of 3,838 households that have been surveyed continuously for 5 years. We sort the base variables according to relevance of house investment criteria using the decision tree model (DTM), which is the standard decision-making model for data-mining techniques. The DTM method is known as a powerful methodology to identify contributory variables for predictive power. In addition, we analyze how important explanatory variables and the financial strength index of households affect housing investment with the binary logistic multi-regressive model. Based on the analyses, we conclude that the financial strength index has a significant role in house investment demand. Results - The results of this research are as follows: 1) The determinants of housing investment are age, consumption expenditures, income, total assets, rent deposit, housing price, habits satisfaction, housing scale, number of household members, and debt related to housing. 2) The impact power of these determinants has changed more or less annually due to economic situations and housing market conditions. The level of consumption expenditure and income are the main determinants before 2009; however, the determinants of housing investment changed to indices of the financial strength of households, i.e., DTI, LTV, and PIR, after 2009. 3) Most of all, since 2009, housing loans has been a more important variable than the level of consumption in making housing market decisions. Conclusions - The results of this research show that sound financing of households has a stronger effect on housing investment than reduced consumption expenditures. At the same time, the key indices that must be monitored by the government under economic emergency conditions differ from those requiring monitoring under normal market conditions; therefore, political indices to encourage and promote the housing market must be divided based on market conditions.

• 교육녹색환경연구
• /
• 제10권1호
• /
• pp.10-25
• /
• 2011

Area Offices of Education in Korea assign and execute government budget based on the evaluation of school buildings' safety rating and degree of their deterioration. However, it is never easy to estimate the most appropriate investment amount for old buildings under consideration of their service lives and residual values together. A model of estimating optimum investment cost for obsolete school building is developed taking its life cycle cost into account. The model is also applied to six old buildings in five different schools and found that some of the facilities hardly needed further investment and were better to be rebuilt. The study results will be a great beneficial for officers to make right decision on maintaining obsolete school buildings and to maximize tax payers' money.

• 대한산업공학회지
• /
• 제38권4호
• /
• pp.237-243
• /
• 2012

This paper proposes quantitative investment strategies for KOSPI200 index futures using VKOSPI and control chart. Stochastic control chart is employed to decide when to take a position as well as what position out of long and short should be taken by monitoring whether VKOSPI or difference of VKOSPI touches the control limit lines. The strategies include 4 approaches, which are traditional control chart and 2-Area control chart coupled with VKOSPI and its difference, respectively. Computational experiments using real KOSPI200 futures index for recent 3 years are conducted to show the excellence of the proposed investment strategies under control chart framework.

• 경영과학
• /
• 제18권1호
• /
• pp.29-39
• /
• 2001

Traditionally, companies have been concerned with making an investment decision either to go now or never to go forever. However, owing to the development of the theory of options pricing in a financial investment field and its introduction to the appraisal of real investments in these days, we are now partially allowed to derive the value of a managerial flexibility of real investment projects. In this paper, we derived a general mathematical model to price the option value of real investment projects assuming that they have only one-period of time under which uncertainty exists. This mathematical model was developed based on the opportunity cost concept. We will show a simple numerical example to illustrate how the mathematical model works comparing it with the existing models.

• 무역상무연구
• /
• 제57권
• /
• pp.61-78
• /
• 2013

The purpose of this study is to clarify the standard of fair and equitable treatment. Although most international investment treaties prescribe fair and equitable treatment that is the obligation to provide fair and equitable treatment to foreign investor, there is no clear definition and specific elements of fair and equitable treatment. Through the arbitral award cases we can find that tribunals have interpreted to include six principles; Due process & Protection from denial of justice, Good faith, Reasonableness & Nondiscrimination, Compliance with contractual obligation, Full protection and security, Transparency & Protection of the investor's legitimate expectations. This study suggest that host countries and investors focus on international trends concerning investment disputes in order to avoid future disputes. So future disputes can be prevented and prepared in advance.

• 무역상무연구
• /
• 제43권
• /
• pp.481-507
• /
• 2009

Along with continuous increase in international investments encouraged by wide spread bilateral investment treaties (BIT) including free trade agreements (FTA), international investment disputes have been also increasing. This means that a host State, an importer of foreign investments, and a investor who exports its investment to foreign State, need to take measures to prevent international disputes arising from international investment or to prepare for the arbitration for resolving the disputes. Under these circumstances, this paper compares ICSID arbitration rules and UNCITRAL arbitration rules in respect of (i) the institution of arbitration, (ii) the appointment of arbitrators and the composition of arbitral tribunal, and (iii) the procedures for, and the form of, arbitral awards. On base of this comparison, this paper further suggests certain practical issues that the host State's government and the foreign investors should be aware of in order to be ready for the resolutions of disputes by ICSID or UNCITRAL arbitrations.

• 경영과학
• /
• 제32권3호
• /
• pp.91-103
• /
• 2015

This study recognizes that there is a correlation between the movement of the financial market and the sentimental changes of the public participating directly or indirectly in the market, and applies the relationship to investment strategies for stock market. The concerns that market participants have about the economy can be transformed to the search terms that internet users query on search engines, and search volume of a specific term over time can be understood as the economic trend of big data. Under the hypothesis that the time when the economic concerns start increasing precedes the decline in the stock market price and vice versa, this study proposes three investment strategies using casuality between price of domestic stock market and search volume from Naver trends, and verifies the hypothesis. The computational results illustrate the potential that combining extensive behavioral data sets offers for a better understanding of collective human behavior in domestic stock market.