• Digital Contents
• /
• no.6 s.73
• /
• pp.32-34
• /
• 1999

nvst.com은 기업가, 상담자, 투자자를 위한 온라인 회합 장소로서 이들의 서비스와 투자 기회를 늘리고 서로에게 유리한 거래가 이루어지도록 하기 위해 만들어졌다. 현재 이 공동체에서 만들어져 nvst.com에서 이용할 수 있는 두개의 데이터베이스는 콘택트 데이터베이스(Contact Database)와 투자 기회 데이터베이스(Investment Opportunities Database)이다.

• 주택과사람들
• /
• s.189
• /
• pp.40-43
• /
• 2006

전 세계인의 이목이 집중되고 있는 중국은 투자 대상1순위 지역으로 꼽힌다. 최근에는 고객들이 거꾸로 중국 부동산 펀드를 찾을 정도로 투자자들의 관심이 굉장히 높다. 하지만 중국 부동산 시장은 리스크가 높아 투자를 하기 전에 신중해야 한다.

• The Magazine for Energy Service Companies
• /
• s.29
• /
• pp.22-23
• /
• 2004

ESCO가 CDM사업으로 적절한 사업을 발굴하고 해외투자자를 확보하는 기본능력을 배양할 수 있도록 사업계획서 작성을 지원하고 있으며, 앞으로 CDM사업의 준비과정에 관한 커리큘럼과 참여프로그램도 만들 계획입니다.

• 주택과사람들
• /
• s.205
• /
• pp.32-35
• /
• 2007

민간사업자가 시행하는 개발사업에 PFV(Project Finance Vehicle)방식이 도입되고 있다. 종전 개발사업은 시공사가 지급보증을 서고 재무 투자자가 PF를 맡는 단순구조였지만, PFV의 장점이 부각되면서 민간이 추진하는 도시개발사업에도 이같은 방식이 도입되고 있다.

• Journal of Digital Convergence
• /
• v.16 no.5
• /
• pp.185-197
• /
• 2018

The purpose of this study is to analyze the Korean ETF market, which is experiencing a rapid increase in the number of stocks, to identify the degree of investment efficiency and to present investment directions. The methodology and procedure are ETF yield, change trends, correlation and regression analysis of the ETFs traded between 2010 and 2018. As a result, the total return of domestic ETFs was 3.51%, which was lower than the KOSPI growth rate and the return on equity ETFs was 4.03%, which was low. Leverage ETF yields were below 3%, which was low. The return on bond and currency ETFs was less than 1%. The most profitable ETFs were index ETFs, followed by domestic and leveraged ETFs. This study has contributed to establishing considerations when purchasing ETFs from the viewpoint of investors. Future research will present the direction of ETF investment more precisely.

• Journal of the Korea Convergence Society
• /
• v.7 no.6
• /
• pp.205-212
• /
• 2016

This study attempts to empirically investigate if value strategy and momentum strategy could be improved by using past financial data such as ROE and PER in the Korean stock market. The study observes that both strategies which are refined by the portfolios consisting of companies with higher ROE/PER ratio show higher positive excessive returns than the traditional value strategy and momentum strategy. The study discusses that the excessive returns could be due to investors' behavioral biases such as conservatism, anchoring, confirmation, and herding by using convergent approach based on psychology theory. The results are not consistent with the efficient market hypothesis insisting investors' rational behavior.

• Korean Journal of Construction Engineering and Management
• /
• v.5 no.6 s.22
• /
• pp.179-190
• /
• 2004

Present private infrastructure investment in SOC investment has increased up to $11\%$ compared to the year 2003 and it is expected to increase in the future. In spite of its rapid increasement we don't have definite standard or system on distinctly presented rate of return for domestic private infrastructure investment yet, and practical and scientific research is not sufficient, compared to its necessity and importance. Hence, in this study we tried to build theories systematically, which are related to rate of return of private infrastructure investment to promote SOC private infrastructure investment to last successfully and present the proper level of rate of return of private infrastructure we investment appropriate in domestic situations through diverse analysis. Therefore, to present reasonable rate of return, we used 5 methods: existing research analysis, case study, financial index analysis, analysis of investors rate of return, and analysis of rate of return in a real estate market. After comparing and analyzing these methods, Ive presented in the end the appropriate level of rate of return of private infrastructure investment, which can be applied in a domestic market.

• The Journal of the Korea Contents Association
• /
• v.16 no.11
• /
• pp.644-660
• /
• 2016

With the development of Fintech industry, research interest in crowdfunding is growing. Crowdfunding, originated from crowdsourcing, involves the participation of many individuals' contributions to funding a new project. Specifically, lending based crowdfunding provides a platform for raising funds in the form of loans by connecting borrowers to funders(investors) via Internet, not through traditional financial institutions. Recently, lending based crowdfunding attracts much attention as a new investment alternative; however, there is a lack of research about lending based crowdfunding. This study aims to examine the factors influencing an investor's participation in lending based crowdfunding by focusing on platform features, investor features, and project features. Based on the findings, this study discusses theoretical and practical implications for promoting the crowd's investments through crowdfunding platforms.

• The Korean Journal of Applied Statistics
• /
• v.31 no.3
• /
• pp.409-416
• /
• 2018

Significant research has been conducted in the financial sector on the behavior of investors in the stock market. In this paper, we directly measure the degree of interest using the ranking of the frequency mentioned in the stock message board operated by Daum Communications Corp. and test the fact that the higher ranking of the frequency results in the higher stock returns in order to investigate the attention effect on the stock returns in the Korean stock market. We also propose and apply the likelihood ratio test procedure for order restricted hypotheses in order to test the attention effect. The test results shows that the higher rank in the frequency mentioned in the message board is related to stock returns (p-value < $10^{-6}$). Therefore, we conclude that an investors' attention effects exist in the Korean stock market.

• Journal of the Korean Data and Information Science Society
• /
• v.24 no.2
• /
• pp.223-233
• /
• 2013

At local emerging stock markets such as Korea, Hong Kong, Singapore and Taiwan, foreign investors (FI) are recognized as important investment community due to the globalization and deregulation of financial markets. Therefore, it is required to monitor the behavior of FI against a sudden enormous selling stocks for the concerned local governments or private and institutional investors. The main aim of this study is to propose an early warning system (EWS) which purposes issuing a warning signal against the possible massive selling stocks of FI at the market. For this, we suggest machine learning algorithm which predicts the behavior of FI by forecasting future conditions. This study is empirically done for the Korean stock market.