• Korean Journal of Construction Engineering and Management
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• v.4 no.3 s.15
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• pp.76-84
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• 2003

The bankruptcy possibility of construction firms have been higher by the environment of current construction industry. Thus, converting management environment for growth into that for value or profit is required. Nowadays, funds of construction firms is almost provided by financial institutions. As the firms' size grow, they have a form of fund provision through the securities market; however, fair distribution for returns is not practiced by opening company. Especially, construction firms lost trust of Investor by lack of awareness to firm clearness, and then a vicious cycle of no effectiveness in fund provision through securities market is continued again. On this study correlation between stock quotations and primary financial factors of firms in order to grasp actual management condition in construction firms was analyzed. By this, the correlation between stock quotations and the result of firm management was provided. Also, necessity of firm's capital provision was explained, thus ways to ensure firm clearness was searched.

• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.362-366
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• 2016

기후 변화에 따른 국지성 집중호우, 게릴라성 호우는 도심지역 홍수피해의 주요 원인으로, 이러한 극한 강우사상에 대해 도시지역의 침수피해를 선제적으로 대응하기 위해서는 강우-유출모의 현상을 과학적인 방법으로 분석할 필요가 있다. 이러한 이유로 주요 침수발생지역에 국한하여 강우-유출 해석이 수행되어왔지만, 도시전체에 대한 분석은 시간적, 인력적 제약으로 분석이 어려운 실정이다. 본 연구에서는 대표적 도시지역인 서울시의 전체 239개 배수분구를 83개 배수구역으로 구분, 서울시 최신 UIS자료를 이용하여 각 배수구역별 도시유출모형 구축을 위한 소유역 및 관망 입력자료 DB를 GIS shape파일 형식으로 구축하였으며, 미국 EPA의 SWMM을 적용하여 도시유출모형을 구축하였다. 시간적, 인력적 제약을 극복하기 위하여 구축할 관망 기준을 수립 및 가공하여 적용하였으며, 매뉴얼을 작성하여 매개변수의 적용기준 및 DB구축절차를 표준화하여 입력자료의 일관성 및 객관성을 도모하였다. 구축한 모형의 신뢰성 확보를 위해 서울시 기왕 주요 호우사례에 대한 유출모의 결과와 유량측정 성과의 비교를 통해 모형 검증을 수행한 결과, 관측수위/모의수위의 상관계수는 대부분의 지역에서 0.9 이상으로 나타나 모형 구축결과는 적정한 것으로 판단되었다. 구축된 모형은 실시간으로 변화하는 기상상황을 합리적으로 반영하기 위한 고해상도 기상자료를 활용한 도시침수 예측정보 생산 기술 개발의 기반 자료로 활용될 예정이며, 서울시 전역의 우수관로 월류에 의한 침수 취약지역 파악 및 침수원인 분석, 상습 침수지역에 대한 하수관로 교체 및 저류지 설치 등 치수계획에 대한 기초자료로도 활용 될 수 있을 것이다.

• Journal of the Korean Data and Information Science Society
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• v.22 no.3
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• pp.423-436
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• 2011

Many of the theoretical studies have considered herd behavior as a source of the volatility in financial markets, but there have been few empirical studies on the dynamic herding due to the technical difficulty of detecting herd behavior with time-series data. In this context, this paper proposes a new method for measuring time-varying herd behavior based on QR-GARCH model. Using daily data of KOSPI stocks, this paper provides some empirical evidence for strong and volatile herding among traders of stocks of medium firms, and shows that time-varying herd behavior in traders of some stocks has persistent autocorrelation.

• The Korean Journal of Financial Management
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• v.21 no.1
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• pp.149-181
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• 2004

In this study we perform empirical tests using KOSPI return to investigate the existence of nonlinear characteristics in the generating process of stock returns. There are three categories in empirical tests; the test of nonlinear dependence, nonlinear stochastic process and nonlinear deterministic chaos. According to the analysis of nonlinearity, stock returns are not normally distributed but leptokurtic, and appear to have nonlinear dependence. And it's decided that the nonlinear structure of stock returns can not be completely explained using nonlinear stochastic models of ARCH-type. Nonlinear deterministic chaos system is the feedback system, which the past incidents influence the present, and it is the fractal structure with self-similarity and has the sensitive dependence on initial conditions. To summarize the results of chaos analysis for KOSPI return, it is the persistent time series, which is not IID and has long memory, takes biased random walk, and is estimated to be fractal distribution. Also correlation dimension, as the approximation of fractal dimension, converged stably within 3 and 4, and maximum Lyapunov exponent has positive value. This suggests that chaotic attractor and the sensitive dependence on initial conditions exist in stock returns. These results fit into the characteristics of chaos system. Therefore it's decided that the generating process of stock returns has nonlinear deterministic structure and follow chaotic process.

• The Journal of the Korea Contents Association
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• v.22 no.3
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• pp.81-93
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• 2022

The stock investing is one of the most popular investment techniques. However, since it is not easy to obtain a return through actual investment, various strategies have been devised and tried in the past to obtain an effective and stable return. Among them, the volatility breakout strategy identifies a strong uptrend that exceeds a certain level on a daily basis as a breakout signal, follows the uptrend, and quickly earns daily returns. It is one of the popular investment strategies that are widely used to realize profits. However, it is difficult to predict stock prices by understanding the price trend pattern of stocks. In this paper, we propose a method of buying and selling stocks by predicting the return in trading based on the volatility breakout strategy using a bi-directional long short-term memory deep neural network that can realize a return in a short period of time. As a result of the experiment assuming actual trading on the test data with the learned model, it can be seen that the results outperform both the return and stability compared to the existing closing price prediction model using the long-short-term memory deep neural network model.

• Journal of Intelligence and Information Systems
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• v.28 no.3
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• pp.209-235
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• 2022

Starting from 2010, blockchain technology, along with the development of artificial intelligence, has been in the spotlight as the latest technology to lead the 4th industrial revolution. Furthermore, previous research regarding blockchain's technological applications has been ongoing ever since. However, few studies have been examined the standards for classifying the blockchain economic ecosystem from a capital market perspective. Our study is classified into a collection of interviews of software developers, entrepreneurs, market participants and experts who use blockchain technology to utilize the blockchain economic ecosystem from a capital market perspective for investing in stocks, and case study methodologies of blockchain economic ecosystem according to application fields of blockchain technology. Additionally, as a way that can be used in connection with equity investment in the capital market, the blockchain economic ecosystem classification methodology was established to form an investment universe consisting of global blue-chip stocks. It also helped construct an intelligent portfolio through quantitative and qualitative analysis that are based on quant and artificial intelligence strategies and evaluate its performances. Lastly, it presented a successful investment strategy according to the growth of blockchain economic ecosystem. This study not only classifies and analyzes blockchain standardization as a blockchain economic ecosystem from a capital market, rather than a technical, point of view, but also constructs a portfolio that targets global blue-chip stocks while also developing strategies to achieve superior performances. This study provides insights that are fused with global equity investment from the perspectives of investment theory and the economy. Therefore, it has practical implications that can contribute to the development of capital markets.

• Venture DIGEST
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• s.103
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• pp.26-27
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• 2007

최근 이른바 '장하성 펀드'가 대한화섬 지분을 매집한 후 경영진에 지배구조개선을 요구하면서 주식시장에서 대한화섬의 주가는 상승세를 계속했다. 또한 지난 해 초순에는 세계적인 '기업사냥꾼' 칼 아이칸(Carl Icahn)이 KT&G 지분을 매집하면서 사회적 관심을 모으기도 했다. 무엇보다도, 국민들에게서 적대적 M&A에 대한 인식을 각인시킨 계기는 2003년 3월 소버린 펀드가 분식회계 파장을 계기로 주가가 급락한 (주)SK 주식을 매입하면서부터일 것이다. 당시 소버린 펀드는 불과 2개월만에 (주)SK 주식 14.99%를 매입하였고 우호지분을 규합하여 당시 최태원 회장의 교체를 시도하겠다고 선언하였다. 종국적으로 주주총회에서의 의결권 대결은 당시 (주)SK의 승리로 끝났지만, 그 기간 동안 (주)SK 주가는 고공행진을 계속하였고, 소버린 펀드는 2005년 7월 무려 8,000억 원의 주식 양도차익을 남기고 유유히 시장을 떠났다. 이번 호와 다음 호에서는 2회에 걸쳐 이와 같이 뜨거운 사회적 관심을 모으고 있는 적대적 M&A에 대해 살펴 보고, 이에 대한 방어 방법을 검토해 보고자 한다.

• Annual Conference of KIPS
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• 2012.04a
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• pp.1396-1399
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• 2012

본 논문은 주식 투자 포트폴리오를 구성하기 위해 클러스터링 기법을 이용하는 방법을 제안한다. 클러스터링 기법은 패턴 공간 상의 특징 벡터로 표현된 패턴 데이터를 몇 개의 부분집합으로 나누는 작업을 의미한다. 본 연구에서는 주식시장 네트워크에 클러스터링 기법을 적용하여 안정성과 수익률이 높은 포트폴리오를 구성하는 방법을 제안한다. 그리고 추천 클러스터의 투자 적합여부를 데이터를 통해 확인한다. 2007년 주식 데이터를 대상으로 실험한 결과, 추천 클러스터의 수익률이 전체 수익률을 상회함을 확인할 수 있었다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2019.05a
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• pp.63-65
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• 2019

부산항 신항 서컨테이너터미널은 선박 대형화와 완전 무인 자동화부두 구축이라는 설계컨셉에 따라 접안 가능한 최대선박은 3만 TEU 선박으로 결정하고 그에 따라 제반 시설들의 규격을 증대하였으며, 상부 자동화 설비들의 운영에 지장이 발생하지 않도록 대형 유수실, 월파차단벽 등의 침수 방지시설과 크레인 및 AGV구간 부등침하 방지를 위해 41.5m의 광폭케이슨과 176m의 광폭 DCM기초를 적용하고, 최신 설계기준에 의거한 내진 I 등급 구조물로 계획하는 등 안전하고 이용성이 뛰어난 컨테이너 터미널이 구축되도록 하였다.

• Management & Information Systems Review
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• v.33 no.1
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• pp.139-155
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• 2014

This study is to examine the linkage of volatility between changes in the stock market of India and other countries through the integration of the world economy. The results were as follows: First, autocorrelation or serial correlation did not exist in the classic RS model, but long-term memory was present in the modified RS model. Second, unit root did not exist in the unit root test for all periods, and the series were a stable explanatory power and a long-term memory with the normal conditions in the ARFIMA model. Third, in the multivariate asymmetric BEKK and VAR model before the financial crisis, it showed that there was a strong influence of the own market of Taiwan and UK in the conditional mean equation, and a strong spillover effect from Japan to India, from Taiwan to China(Korea, US), from US(Japan) to UK in one direction. In the conditional variance equation, GARCH showed a strong spillover effect that indicated the same direction as the result of ARCH coefficient of the market itself. Asymmetric effects in three home markets and between markets existed. Fourth, after the financial crisis, in the conditional mean equation, only the domestic market in Taiwan showed strong influences, and strong spillover effects existed from India to US, from Taiwan to Japan, from Korea to Germany in one direction. In the conditional variance equation, strong spillover effects were the same as the result of the pre-crisis and asymmetric effect in the domestic market in UK was present, and one-way asymmetric effect existed in Germany from Taiwan. Therefore, the results of this study presented the linkage between the volatilities of the stock market of India and other countries through the integration of the world economy, observing and confirming the asymmetric reactions and return(volatility) spillover effects between the stock market of India and other countries.