• Journal of the Korean Data and Information Science Society
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• v.24 no.2
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• pp.235-244
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• 2013

In this study, we propose a new trading strategy by using a trading volume index in KOSPI200 futures market. Many studies have been conducted with respect to the relationship between volume and price, but none of them is clearly concluded. This study analyzes the economic usefulness of investment strategy, using volume index. This analysis shows that the trading volume is a preceding index. This paper contains two objectives. The first objective is to make an index using Correlated Volume Index (CVI) and second objective is to find an appropriate timing to buy or sell the Kospi200 future index. The results of this study proved the importance of the proposed model in KOSPI200 futures market, and it will help many investors to make the right investment decision.

• 월간 기계설비
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• s.321
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• pp.34-37
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• 2017

미국의 금리인상에 따른 국내 금리 상승 압박과 정부의 잇따른 부동산 규제, 집단 대출 심사 강화 등 금융대출 조이기로 부동산 시장이 '봄 같지 않은 봄'을 맞고 있다. 더구나 5월 9일 조기 대통령선거를 앞두고 정국불안과 경제 불안정 등으로 매매와 분양시장도 활기를 띠지 못하고 있다. 지난 3개월 동안 분양 실적이나 청약경쟁률도 지난해에 비해 떨어졌다. 부동산 시장 불확실성이 높아지고 있다는 방증이다. 이에 따라 투자자나 실수요자 모두 기대감을 낮추고 옥석을 가리는 안목을 갖고 부동산 시장을 들여다 봐야 한다는 지적이다.

• THE HEALTH and ORGANIC FARMING
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• no.189
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• pp.1-24
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• 2003

한국여성들 일본에서 난자 매매하고 있는데/재주는 곰이 부리고 돈은 되놈이 번다더니!-유기가공식품의 수입판매사업 활성화에 부쳐/[Natural Life]건강한 삶에서 행복 찾는다!./대한민국 참외의 메카-성주 성주군협의회를 찾아서(II)/유기농업 뉴스클리핑/유기농업 에세이-21세기친환경농업새로운방향(IV)/노지고추재배/미생물농약 시대가 열렸다/유기농업만이 농업경쟁력을 확보할 수 있다/기능성 농산물은 천연 게르마늄 농법으로!/인스턴트 식품 완전해부/배나무에 발생하는 주요병해와 토양개량/본회 토막소식/4월중 농사정보-유기농업 실천기술

• 정보화사회
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• s.38
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• pp.57-61
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• 1991

국내 S/W산업 육성을 위한 S/W유통센터의 설립이 본격 추진된다. S/W유통센터의 설립은 국내 S/W시장의 불확실성 및 관련기업들의 경영기반과 기술력이 취약한 문제점을 해결하기 위해 체신부가 지난해 9월 마련한 정보통신 S/W육성방안에 따른 것으로 한국통신(KOREA TELECOM)이 이를 전담 추진하게 된다. S/W공급자 및 수요자에게 매매장소 및 관련정보를 제공하고, S/W의 홍보.전시.교육.판매기능을 부여하여 유통구조의 개선은 물론 S/W에 대한 일반국민의 가치인식을 제고하므로써 S/W산업 육성기반 확립과 정보이용의 활성화를 도모하게 될 동 유통센터의 설립추진 개요를 소개한다.

• Korean Association of Arts Management
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• no.58
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• pp.179-204
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• 2021

Not only the consumption trend after the COVID-19 pandemic but also low financial interest rates have stimulated people to invest artworks. With the recent noticeable growth, art investments that mainly conducted by younger generation through online platform can be characterized by a fractional ownership in art market which means several people share one piece of artwork. This study explores 4 fractional ownership platforms in the domestic art market including Art Together, Art & Guide, Tessa, and Pica projects, using a business model canvas that describes nine key elements: Customer Segments, Value Proposition, Channels, Customer Relationships, Revenue Streams, Key Resources, Key Activities, Key Partners and Cost Structure. The four cases have similar business models, but the details of revenue streams are different. The key sources of revenue are the profit and commission of the work. Thus, maximizing the profit margin of artworks is the core of revenue streams, so selecting and purchasing highly profitable artworks are significant. Based on the analysis, there are 3 suggestions to continue fractional ownership platform businesses in art market successfully. First, it is required to have a long-term perspective on art investments, as a way to diverse asset portfolio. Second, business confidence should be increased to maintain customer loyalty. Third, the role of platforms as competent experts is important.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.51
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• pp.187-210
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• 2011

International transactions have the threat of non-payment by the buyer or non-performance by the seller. Parties tend to search for additional means of securing performance and payment beyond the mere agreement in the contract. Such security may be achieved by means of a letter of credit. When contracting parties have agreed to pay by means of a letter of credit, the buyer's bank takes upon itself the obligation to pay the purchase price when the seller tenders the documents that are stipulated in the letter of credit. The documents must comply strictly with the terms of the credit.. The documents play a crucial role in letter of credit transaction. The principles of abstraction, separability and strict compliance governing the letter of credit transaction are considered. The concept of fundamental breach of Article 25 CISG was discussed. This article examines whether a failure to deliver documents conforming to the terms of the letter of credit can constitute a fundamental breach of the sales contract as defined by Article 25 of the CISG by the seller and thereby enable the buyer to avoid the contract. For letter of credit transactions it should be accepted that the delivery of non-performing documents constitutes a fundamental breach, if the result of this breach is that the bank refuses to pay the price for the goods. On the other hand, in the interpretation of Article 25 CISG, it should be noted that if the parties have agreed to payment by means of a letter of credit, they have simultaneously agreed to apply the strict compliance principle to the delivery of documents in the sales contract. Finally the parties should ensure that inconsistency between the requirements under the documentary credit and the requirements under the contract of sale is avoided, since the buyer may be in breach of his payment obligation if the seller cannot get paid under the documentary credit when his documents conform with the contract of sale.

• Journal of the Korea Society for Simulation
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• v.23 no.4
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• pp.1-8
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• 2014

Cloud computing helps big data processing to make various information using IT resources. The government has to start the RPS(Renewable Portfolio Standard) and induce the production of electricity using renewable energy equipment. And the government manages system to gather big data that is distributed geographically. The companies can purchase the REC(Renewable Energy Certificate) to other electricity generation companies to fill shortage among their duty from the system. Because of the RPS use voluntary competitive market in REC trade and the prices have the large variation, RPS is necessary to predict the equitable REC price using RPS big data. This paper proposed REC price prediction method base on fuzzy logic using the price trend and trading condition infra in REC market, that is modeled in cloud computing environment. Cloud computing helps to analyze correlation and variables that act on REC price within RPS big data and the analysis can be predict REC price by simulation. Fuzzy logic presents balanced REC average trading prices using the trading quantity and price. The model presents REC average trading price using the trading quantity and price and the method helps induce well-converged price in the long run in cloud computing environment.

• Asia Marketing Journal
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• v.9 no.3
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• pp.233-255
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• 2007

본 사례는 외환위기 및 대우 그룹 해체로 인해 존폐의 위기에 처했던 대우증권이 선도업체 위상을 탈환하기까지의 재건 과정에서 실행했던 마케팅 전략 및 영업활동을 분석하고 있다. 이를 통해 경영위기를 효과적으로 극복하고 새롭게 도약하기 위해 활용 가능한 마케팅 및 영업 전략의 일례를 소개하고자 한다. 끝으로 대우증권의 향후 마케팅 과제와 관련된 토의 주제가 제시된다. 국내 증권업계 선두주자였던 대우증권은 1999년 '대우 사태'로 인해 한때 업계 5위까지 추락하고 1조 2,000억원의 적자를 기록하였으며 신용등급은 투자부적격 단계인 CCC+까지 하락하는 등 위기를 맞이하게 되었다. 대우증권이 회생과 재도약을 위해 채택한 마케팅 전략은 '선택과 집중'이었다. 즉, 최대 수익원이자 경쟁력이 있는 사업 분야인 위탁매매(brokerage)에 역량을 우선 집중하여 안정적으로 수익 기반을 다진 뒤 이를 바탕으로 IB(Investment Bank)와 자산 관리(Wealth Management) 등 여타 분야에서의 역량도 점진적으로 강화하는 전략이다. 전략의 실행 방향은 높은 효율성 확보 및 자원의 확충을 통해 시장 지배력과 수익성을 창출하는 것이었다. 전략적 공감대, 오프라인 영업 강화, 현장 및 고객 중시를 위한 기업 자원의 확충 배치를 바탕으로 영업 프로세스, 영업 인프라, 영업 관리, 고객 서비스, 영업 문화의 혁신을 실행한 결과, 대우증권은 증권명가의 옛 명성과 위치를 성공적으로 탈환하게 되었다. 대우증권은 2004년 위탁매매 영업 부문에서 1위 위상을 되찾은 이래 전 사업 분야에서 성장을 지속하였다. 2006년 증권업종 시가총액 1위를 회복하는 등 각종 경영지표는 큰 폭으로 개선되었고, 신용등급은 AA-로 상향 조정되었다. 나아가 자본시장통합법 시대에 걸맞는 선도 글로벌 투자은행으로서 진화한다는 계획을 추진하고 있다.

• Journal of Intelligence and Information Systems
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• v.25 no.1
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• pp.63-83
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• 2019

Investors prefer to look for trading points based on the graph shown in the chart rather than complex analysis, such as corporate intrinsic value analysis and technical auxiliary index analysis. However, the pattern analysis technique is difficult and computerized less than the needs of users. In recent years, there have been many cases of studying stock price patterns using various machine learning techniques including neural networks in the field of artificial intelligence(AI). In particular, the development of IT technology has made it easier to analyze a huge number of chart data to find patterns that can predict stock prices. Although short-term forecasting power of prices has increased in terms of performance so far, long-term forecasting power is limited and is used in short-term trading rather than long-term investment. Other studies have focused on mechanically and accurately identifying patterns that were not recognized by past technology, but it can be vulnerable in practical areas because it is a separate matter whether the patterns found are suitable for trading. When they find a meaningful pattern, they find a point that matches the pattern. They then measure their performance after n days, assuming that they have bought at that point in time. Since this approach is to calculate virtual revenues, there can be many disparities with reality. The existing research method tries to find a pattern with stock price prediction power, but this study proposes to define the patterns first and to trade when the pattern with high success probability appears. The M & W wave pattern published by Merrill(1980) is simple because we can distinguish it by five turning points. Despite the report that some patterns have price predictability, there were no performance reports used in the actual market. The simplicity of a pattern consisting of five turning points has the advantage of reducing the cost of increasing pattern recognition accuracy. In this study, 16 patterns of up conversion and 16 patterns of down conversion are reclassified into ten groups so that they can be easily implemented by the system. Only one pattern with high success rate per group is selected for trading. Patterns that had a high probability of success in the past are likely to succeed in the future. So we trade when such a pattern occurs. It is a real situation because it is measured assuming that both the buy and sell have been executed. We tested three ways to calculate the turning point. The first method, the minimum change rate zig-zag method, removes price movements below a certain percentage and calculates the vertex. In the second method, high-low line zig-zag, the high price that meets the n-day high price line is calculated at the peak price, and the low price that meets the n-day low price line is calculated at the valley price. In the third method, the swing wave method, the high price in the center higher than n high prices on the left and right is calculated as the peak price. If the central low price is lower than the n low price on the left and right, it is calculated as valley price. The swing wave method was superior to the other methods in the test results. It is interpreted that the transaction after checking the completion of the pattern is more effective than the transaction in the unfinished state of the pattern. Genetic algorithms(GA) were the most suitable solution, although it was virtually impossible to find patterns with high success rates because the number of cases was too large in this simulation. We also performed the simulation using the Walk-forward Analysis(WFA) method, which tests the test section and the application section separately. So we were able to respond appropriately to market changes. In this study, we optimize the stock portfolio because there is a risk of over-optimized if we implement the variable optimality for each individual stock. Therefore, we selected the number of constituent stocks as 20 to increase the effect of diversified investment while avoiding optimization. We tested the KOSPI market by dividing it into six categories. In the results, the portfolio of small cap stock was the most successful and the high vol stock portfolio was the second best. This shows that patterns need to have some price volatility in order for patterns to be shaped, but volatility is not the best.

• Journal of Intelligence and Information Systems
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• v.8 no.1
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• pp.103-117
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• 2002

Recently, many researchers have developed applications for automated contract and negotiation using agent technologies on electronic commerce. Especially, they have tried to study negotiation mechanism applying agent instead of buyers and sellers. Traditional researches, however, often had limitations. In the researches of automated negotiation, the agents had to negotiate with the other agents for a simple negotiation issue because the mechanisms were naive. In the researches of negotiation by user interaction, the agents did not have supported the procedures and methodologies for making the automated negotiation but only supported the users by providing communication environment during the negotiation process by users. In this paper, we propose efficient negotiation model using the modified negotiation model of the game theory. In the proposed model, the agents negotiate automatically with the partner agent and make good benefits by the strategic method during the negotiation process. Each agent makes negotiation issues with user's requirements and exchanges its suggestion alternatively in each step of the negotiation process. The agent evaluates degree of satisfaction for the opposite's suggestion and uses it in the next step of suggestion. To find out the negotiation strategies of opposite side, the agent uses teaming by weights of issues. As a result, the agent improves each own benefits for the contract and reduces the unbalance of its benefits through the proposed negotiation mechanism. We implement the negotiating agents according to the proposed mechanism and prove the efficiency of the proposed model by various experimentation.