• The Korean Journal of Financial Management
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• v.21 no.2
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• pp.125-151
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• 2004

This study tests the price discovery from US Treasury bond markets to Korean bond markets using the daily returns of Korean bond data (CD, 3-year T-note, 5-year T-note, 5-year corporate note) and US treasury bond markets (3-month T-bill, 5-year T-note 10-year T-bond) from July 1, 1998 to December 31, 2003. For further research, we divide full data into two sub-samples on the basis of the start-up of bond valuation system in Korean bond market July 1, 2000, employing uni-variate AR(1)-GARCH(1,1)-M model. The main results are as follows. First the volatility spillover effects from US Treasury bond markets (3-month T-bill, 5-year T-note, 10-year T-bond) to Korean Treasury and Corporate bond markets (CD, 3-year T-note, 5-year T-note, 5-year corporate note) are significantly found at 1% confidence level. Second, the price discovery function from US bond markets to Korean bond markets in the sub-data of the pre-bond valuation system exists much stronger and more persistent than those of the post-bond valuation system. In particular, the role of 10-year T-bond compared with 3-month T-bill and 5-year T-note is outstanding. We imply these findings result from the international capital market integration which is accelerated by the broad opening of Korean capital market after 1997 Korean currency crisis and the development of telecommunication skill. In addition, these results are meaningful for bond investors who are in charge of capital asset pricing valuation, risk management, and international portfolio management.

• Proceedings of the Korea Database Society Conference
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• 1999.06a
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• pp.271-280
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• 1999

인공신경망을 시계열예측에 적용하는 경우에 고려되어야 할 문제중, 특히 모형에 적합한 입력변수의 생성이 중요시되고 있는데, 이러한 분야는 인공신경망의 모형생성과정에서 입력변수에 대한 전처리기법으로써 다양하게 제시되어 왔다. 가장 최근의 입력변수 전처리기법으로써 제시되고 있는 신호처리기법은 전통적 주기분할처리방법인 푸리에변환기법(Fourier transforms)을 비롯하여 이를 확장시킨 개념인 웨이블릿변환기법(wavelet transforms) 등으로 대별될 수 있다. 이는 기본적으로 시계열이 다수의 주기(cycle)들로 구성된 상이한 시계열들의 집합이라는 가정에서 출발하고 있다. 전통적으로 이러한 시계열은 전기 또는 전자공학에서 주파수영역분할, 즉 고주파 및 저주파수를 분할하기 위한 기법에 적용되어 왔다. 그러나, 최근에는 이러한 연구가 다양한 분야에 활발하게 응용되기 시작하였으며, 그 중의 대표적인 예가 바로 경영분야의 재무시계열에 대한 분석이다 전통적으로 재무시계열은 장, 단기의사결정을 가진 시장참여자들간의 거래특성이 시계열에 각기 달리 가격으로 반영되기 때문에 이러한 상이한 집단들의 고유한 거래움직임으로 말미암아 예를 들어, 주식시장이 프랙탈구조를 가지고 있다고 보기도 한다. 이처럼 재무시계열은 다양한 사회현상의 집합체라고 볼 수 있으며, 그만큼 예측모형을 구축하는데 어려움이 따른다. 본 연구는 이러한 시계열의 주기적 특성에 기반을 둔 신호처리분석으로서 기존의 시계열로부터 노이즈를 줄여 주면서 보다 의미 있는 정보로 변환시켜 줄 수 있는 웨이블릿분석 방법론을 새로운 필터링기법으로 사용하여 현재 많은 연구가 진행되고 있는 인공신경망과의 모형결합을 통해 기존연구와는 다른 새로운 통합예측방법론을 제시하고자 한다. 본 연구에서 제시하는 통합방법론은 크게 2단계 과정을 거쳐 예측모형으로 완성이 된다. 즉, 1차 모형단계에서 원시 재무시계열은 먼저 웨이블릿분석을 통해서 노이즈가 필터링 되는 동시에, 과거 재무시계열의 프랙탈 구조, 즉 비선형적인 움직임을 보다 잘 반영시켜 주는 다차원 주기요소를 가지는 시계열로 분해, 생성되며, 이렇게 주기에 따라 장단기로 분할된 시계열들은 2차 모형단계에서 신경망의 새로운 입력변수로서 사용되어 최종적인 인공 신경망모델을 구축하는 데 반영된다.

• Journal of the Economic Geographical Society of Korea
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• v.11 no.4
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• pp.564-579
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• 2008

It is often challenging to evaluate local spatial association among onedimensional vectors generally representing paired-location events where two points are physically or functionally connected. This is largely because of complex process of such geographic phenomena itself and partially representational complexity. This paper addresses an alternative way to identify spatially autocorrelated paired-location events (or vectors) at a local scale. In doing so, we propose a statistical algorithm combining univariate point pattern analysis for evaluating local clustering of origin-points and similarity measure of corresponding vectors. For practical use of the suggested method, we present an empirical application using transactions data in a local housing market, particularly recorded from 2004 to 2006 in Franklin County, Ohio in the United States. As a result, several locally characterized similar transactions are identified among a set of vectors showing various local moves associated with communities defined.

• The Journal of Fisheries Business Administration
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• v.29 no.1
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• pp.139-159
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• 1998

본 연구는 미국 오레곤주의 수산업 특성을 개괄적으로 살펴본 것이다. 먼저, 오레곤의 상업적 수산업을 역사적으로 살펴보면 2가지 주요한 계기가 있음을 알 수 있다. 첫째는 자급자족 차원에서의 연어생산을 수출품으로 변화시킨 연어통조림 생산기술의 발전이고, 둘째는 현대식 트롤어업이 도입된 점이다. 오레곤에서 주로 사용되는 어구ㆍ어법은 트롤, 채낚기, 연승, 통발, 형망 등이며, 생산어종은 연어, 게, 새우, 참치, 대구 등이다. 1995년 오레곤은 약 2억 4천 파운드의 수산물을 생산하여 미국 연안주중에서 6위를 차지하고 있고, 생산금액에서는 12위를 기록하였다. 한편, 양식업은 아직 성행하지 않아 그 생산품종 및 생산량은 미미한 실정이다. 그 주된 이유 중의 하나는 양식시설을 하기 위해서는 여러 관계기관의 허가를 필요로 하는 등 행정상의 절차가 복잡하기 때문이다. 오레곤의 수산자원관리는 우리나라에 비해 암계의 어획금지, 통발 등 정치어구ㆍ어법에 대한 인망일수의 제한, 조개류의 판매가능시간의 제한 등 몇가지 특징을 들 수 있다. 오레곤의 수산업관리제도(연안으로부터 3마일 이내)를 살펴보면, 아직 TAG제도를 도입하지 않고 있으며 생산요소역입제한방식이 채택되고 있다. 즉, 상업적으로 허용된 어종을 어획하려는 어업자는 등록절차를 필히 거쳐야 어업행위를 할 수 있으며, 등록수를 제한할 필요가 있는 특정한 어업(연어, 새우, 가리비 등)에 대해서는 행정관청으로부터 허가를 얻고 어업행위를 해야 한다. 즉, 허가어업은 등록어업보다 더욱 제한적인 어업행위를 말하며, 허가권에 대해서는 자유로운 매매양도가 허용되어 있다. 수산물의 마케팅시스템에 대해서는 우리나라에 지배적인 형태인 경매제도가 도입되어 있지 않다. 즉, 모든 수산물은 개인적인 거래계약에 의해서 유통된다. 다만 마케팅경로에 참여하고 있는 모든 구성원은 일정한 등록절차를 마쳐야 하며, 주내에서 거래되는 수산물의 일관된 통제나 관리를 위해 관계기관에 거래량을 필히 신고해야 한다. 우리나라의 중도매인은 주로 생산지의 수협(또는 내륙지 도매법인)과 도매상의 사이에 존재하나 오레곤의 중도매인은 마케팅경로 어디에든 존재하고 있다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.28 no.6
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• pp.1607-1621
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• 2018

The financial industry, which guarantees a credible transaction and can not permit forgery of its transaction information, has hitherto adhered to a traditional centralized ledger management method. However, the blockchain technology has a decentralization which has been regarded as unsafe for the time being, and the more reliable transaction agreement and data integrity are guaranteed The world's financial industry and the IT world is causing the wave. Nevertheless, the inherent characteristics of the blockchain, such as the irreversibility of block information within a blockchain and the sharing of blocks between blockchain participants, can not avoid conflicts with the privacy laws. The purpose of this study is to investigate the problems related to deletion and the third party supply of personal information by focusing on these characteristics of the blockchain and to suggest the technical alternatives of the applicable blockchain and the improvement direction of the personal information protection law for using of blockchain technology.

• Journal of the Korea Convergence Society
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• v.13 no.5
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• pp.85-96
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• 2022

The purpose of this study was to analyze the effect of service factors of used book transactions, which are becoming a major service in online bookstores, on customer satisfaction and the effect of customer satisfaction on reuse intention. 235 samples were collected through a survey for users of used book transaction services in their 20s or older, and 205 surveys were adopted through the refining process. Hypotheses were verified through factor analysis, reliability analysis, and structural model analysis using SPSS22.0 and AMOS22.0 statistical programs. Some factors were supported between service factors and customer satisfaction, and customer satisfaction had a significant effect on reuse intention, and moderating effects according to the preferred genre of reading were founded. More differentiated services should be considered according to the customer's preferred genre, as the services of online bookstores are becoming more standardized, customers do not feel differentiated.

• The Korean Journal of Financial Management
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• v.8 no.1
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• pp.123-137
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• 1991

This paper developes a multiperiod trading model of securities price formation which extends the notion of market created risk introduced by Kraus and Smith [1989]. It is shown that stock price volalitility can depend on combinations of market parameters known to the market participants only imperfectly. Resulting portfolio rebalancing equilibria generate self-justifying price movements while market fundamental remain unchanged.

• Journal of Korean Library and Information Science Society
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• v.37 no.3
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• pp.33-57
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• 2006

Upon the growing popularity of knowledge information and paid digital content, the Internet knowledge exchange market had emerged. A Internet knowledge exchange market consists of general characteristics of a market where a wide variety of knowledge is exchanged at market-appropriate prices, the Internet knowledge exchange market is recently gaining momentum with specialized knowledge items such as design, program source, patent information, consulting service, multimedia, or resumes, as it seeks to secure competitive advantage over its peer markets. Considering the immense influence that these Internet markets will exert on the existing system of knowledge circulation including libraries and information centers, this study aims to contribute to a better understanding of Korea's knowledge circulation structure by analyzing the current standing of the Internet knowledge exchange market.

• The Journal of Society for e-Business Studies
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• v.14 no.4
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• pp.267-286
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• 2009

Most companies in automobile part industry need a SCM (Supply Chain Management) system under the cooperation with suppliers for assembling a automobile. Automobile part industry has a industry feature of hierarchical structure like 1st, 2nd, 3rd vendors. Recently, new cases to implement RFID (Radio Frequency Identification) technology appear in various areas required for integrated information system. Especially, supply chain environment in automobile part industry turns toward ubiquitous computing environment. Most companies in automobile part industry are interested in implementing RFID-based supply chain management system, which makes them shorten the business process, share the transaction information, and enhance the collaborative relationship between trading partners. This paper intends to implement RFID technology in the physical distribution area of automobile part industry such as warehousing, delivering, inventory management. The purpose of this paper is to improve the collaborative relationship of supply chain network using RFID applied to u-SCM system in ubiquitous computing environment. The contribution of this paper is to suggest a new system approach to transform existing business process into new business process through designing and implementing a RFID based SCM system using UML techniques.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.28 no.6
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• pp.1415-1425
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• 2018

MMORPG genre is based on the belief that all users in virtual world are equal. All users are able to obtain the corresponding wealth or status as they strive under the same resource, time. However, game bot is the main factor for harming this fair competition, causing benign gamers to feel a relative deprivation and deviate from the game. Game bots mainly form GFG(Gold Farming Group), which collects the goods in the game indiscriminately and adversely affects the economic system of the game. A general game bot detection algorithm is useful for detecting each bot, but it only covers few portions of GFG, not the whole, so it needs a wider range of detecting method. In this paper, we propose a method of detecting GFG based on items used in MMORPG genre. Several items that are mainly traded in the game were selected and the flows of those items were represented by a network. We Identified the characteristics of exchanging items of GFG bots and can identify the GFG's item trade network with real datasets from one of the popular online games.