• Title/Summary/Keyword: Flexible trading

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An Efficient Ways of Improving Regulations on Insider Trading (내부자거래(內部者去來) 규제개선(規制改善)의 효율적(效率的)인 방안(方案))

  • Park Sang-Bong
    • Management & Information Systems Review
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    • v.4
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    • pp.611-629
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    • 2000
  • In the legislation interpretation and fundamental viewpoint about the legal system of insider trading, Japan strictly legislate under the proposition, the principle of 'nulla poena,' adopted 'the principle of limited enumeration,' and United states, under 'the principle of comprehension,' has entrusted courts with establishment of concrete concepts and standard, so the courts are very flexible in determining the range of insiders and the importance of inside information to show a strong will to eradicate insider trading. Korea has a legislative position of 'the principle of limited indication' which has been created by the negotiation between those principles of United states and Japan. Though this court has interpreted insider trading, insider trading using non-disclosed information has increased lately, needing the strengthening of its regulations. However, this shows us that sophisticate the regulations may be, the exposure of insider trading has limitations. The most important thing is to change recognition for transparency of the securities market, security of investors and to establish the atmosphere which is that fair stock trading made in a sound capital market to raise funds for corporation. The policies of improving unfair trading, self-regulation bodies, raising the transparency and legality of procedures of supervision and monitoring and applying 'compliance program' to stock companies are very needed to eliminate unfair trading in the securities market and establish the order of trading.

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Design of Flexible DSS Architecture for OTC Derivatives Trading: 'A' Bank Case (장외파생상품거래를 위한 유연한 의사결정지원시스템 아키텍처 설계에 관한 연구: A은행 사례)

  • Lee, Keun-Woo;Yang, Kun-Woo
    • The Journal of Information Systems
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    • v.20 no.1
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    • pp.107-126
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    • 2011
  • Model-based decision support system (DSS) has acted as a crucial role in strengthening the business competitiveness by providing a way of modeling and solving real-world decision problems in a quantitative and scientific manner. It is even more important for trading OTC derivatives, which requires extensive financial-engineering expertise while actively reacting to the continuously changing financial market. This paper proposes a flexible model-based DSS architecture that can support user-friendly interface for executing and analyzing the models and can adapt to the changes of financial market seamlessly. For user-friendliness, we implement the user-interfaces (UIs) using Microsoft Excel, a very widely used spreadsheet program for its great generality and extensibility. Users can utilize the analysis results of DSS or reprocess them for their special needs through the UIs in the form of familiar spreadsheets easily. For adaptiveness to the markets, the proposed architecture is constructed based on the object-oriented concepts, which enables such changes as release of a new financial product can be updated into the system without any delay at the lowest cost. We investigate the practical benefits and limitations of the proposed architecture by a case study on the construction of Model-based Trading Support System (MTSS), performed by a commercial bank in Korea.

A New Dynamic Auction Mechanism in the Supply Chain: N-Bilateral Optimized Combinatorial Auction (N-BOCA)

  • Choi, Jin-Ho;Chang, Yong-Sik;Han, In-Goo
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2005.11a
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    • pp.379-390
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    • 2005
  • In this paper, we introduce a new combinatorial auction mechanism - N-Bilateral Optimized Combinatorial Auction (N-BOCA). N-BOCA is a flexible iterative combinatorial auction model that offers optimized trading for multi-suppliers and multi-purchasers in the supply chain. We design the N-BOCA system from the perspectives of architecture, protocol, and trading strategy. Under the given N-BOCA architecture and protocol, auctioneers and bidders have diverse decision strategies for winner determination. This needs flexible modeling environments. Hence, we propose an optimization modeling agent for bid and auctioneer selection. The agent has the capability to automatic model formulation for Integer Programming modeling. Finally, we show the viability of N-BOCA through prototype and experiments. The results say both higher allocation efficiency and effectiveness compared with I-to-N general combinatorial auction mechanisms.

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Adoption of Carbon Emissions Trading and Its Prospects (탄소배출권 거래제의 도입과 전망)

  • Lee, Sun
    • Journal of the Korean Professional Engineers Association
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    • v.44 no.6
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    • pp.29-34
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    • 2011
  • Korea has been officially classified as a non Annex-I country under the Kyoto Protocol, however, international community is used to considering it as if it were an Annex-I country. Korea has been under great pressure from the international community, especially from the EU and the US, to get included as an Annex-I country or to accept a legally-binding emissions reduction target like other developed nations. Korean Government declared its national target of emissions reduction in 2020 before the Copenhagen meeting, and also pronounced "Low-Carbon Green-Growth" as a new national paradigm to drive the entire nation toward a low carbon society and develop a new growth momentum. The 'green Act', which was passed by the National Assembly in 2009, is a comprehensive and fundamental law providing legal grounds to all of the national policies and measures that are needed to transform the nation into a low-carbon society. Korean government announced to begin Carbon Emissions Trading from 2015, instead of the originally scheduled year of 2013, considering global trends and industrial competitiveness in a flexible manner. The Carbon Emission Trading would reduce carbon emissions by 30 percent from the expected 2020 level, or 4 percent below its emissions in 2005.

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A Double Auction Model based on Nonlinear Utility Functions : Genetic Algorithms Approach for Market Optimization (비선형 효용함수 기반의 다중경매 모형 : 시장 최적화를 위한 유전자 알고리즘 접근법)

  • Choi, Jin-Ho;Ahn, Hyun-Chul
    • Journal of the Korean Operations Research and Management Science Society
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    • v.33 no.1
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    • pp.19-33
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    • 2008
  • In the previous double auction research for the market optimization, two basic assumptions are usually applied - (1) each trader has a linear or quasi-linear utility function of price and quantity, and (2) buyers as well as sellers have identical utility functions. However, in practice, each buyer and seller in a double auction market may have diverse utility functions for trading goods. Therefore, a flexible and integrated double auction mechanism that can integrate all traders' diverse utility functions is necessary. In particular, the flexible mechanism is more useful in a synchronous double auction because traders can properly change utilities in each round. Therefore, in this paper, we propose a flexible synchronous double auction mechanism in which traders can express diverse utility functions for the price and quantity of the goods, and optimal total market utility is guaranteed. In order to optimize the total market utility which consists of multiple complex utility functions of traders. We show the viability of the proposed mechanism through a several simulation experiments.

Investigations on Dynamic Trading Strategy Utilizing Stochastic Optimal Control and Machine Learning (확률론적 최적제어와 기계학습을 이용한 동적 트레이딩 전략에 관한 고찰)

  • Park, Jooyoung;Yang, Dongsu;Park, Kyungwook
    • Journal of the Korean Institute of Intelligent Systems
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    • v.23 no.4
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    • pp.348-353
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    • 2013
  • Recently, control theory including stochastic optimal control and various machine-learning-based artificial intelligence methods have become major tools in the field of financial engineering. In this paper, we briefly review some recent papers utilizing stochastic optimal control theory in the fields of the pair trading for mean-reverting markets and the trend-following strategy, and consider a couple of strategies utilizing both stochastic optimal control theory and machine learning methods to acquire more flexible and accessible tools. Illustrative simulations show that the considered strategies can yield encouraging results when applied to a set of real financial market data.

Remarks on the use of Electric Arc Furnace (EAF) Steel Slag in Asphalt Mixtures for Flexible Pavements (Electric Arc Furnace (EAF) Steel Slag의 아스팔트 포장 혼합물 내 대체 골재로서 적용 가능성에 대한 고찰)

  • Falchetto, Augusto Cannone;Moon, Ki Hoon
    • International Journal of Highway Engineering
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    • v.17 no.1
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    • pp.25-33
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    • 2015
  • PURPOSES : This paper, presents the results of a laboratory study aimed to verify the suitability of a particular type of Electric Arc Furnace (EAF) steel slag to be recycled in the lithic skeleton of both dense graded and porous asphalt mixtures for flexible pavements. METHODS : Cyclic creep and stiffness modulus tests were performed to evaluate the mechanical performance of three different asphalt mixtures (dense graded, porous asphalt, and stone mastic) prepared with two types of EAF steel slag. For comparison purposes, the same three mixtures were also designed with conventional aggregates (basalt and limestone). RESULTS : All the asphalt mixtures prepared with EAF steel slag satisfied the current requirements of the European standards, which support EAF steel slag as a suitable material for flexible pavement construction. CONCLUSIONS : Based on the experimental work, the use of waste material obtained from steel production (e.g. EAF steel slag) as an alternative in the lithic skeleton of asphalt mixtures can be a satisfactory and reasonable choice that fulfills the "Zero Waste" objective that many iron and steel industries have pursued in the past decades.

A New Dynamic Auction Mechanism in the Supply Chain: N-Bilateral Optimized Combinatorial Auction (N-BOCA) (공급사슬에서의 새로운 동적 경매 메커니즘: 다자간 최적화 조합경매 모형)

  • Choi Jin-Ho;Chang Yong-Sik;Han In-Goo
    • Journal of Intelligence and Information Systems
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    • v.12 no.1
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    • pp.139-161
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    • 2006
  • In this paper, we introduce a new combinatorial auction mechanism - N-Bilateral Optimized Combinatorial Auction (N-BOCA). N-BOCA is a flexible iterative combinatorial auction model that offers optimized trading for multi-suppliers and multi-purchasers in the supply chain. We design the N-BOCA system from the perspectives of architecture, protocol, and trading strategy. Under the given N-BOCA architecture and protocol, auctioneers and bidders have diverse decision strategies f3r winner determination. This needs flexible modeling environments. Hence, we propose an optimization modeling agent for bid and auctioneer selection. The agent has the capability to automatic model formulation for Integer Programming modeling. Finally, we show the viability of N-BOCA through prototype and experiments. The results say both higher allocation efficiency and effectiveness compared with 1-to-N general combinatorial auction mechanisms.

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B2B Electronic Commerce: It′s Current Situation And Policy (B2B 전자상거래 현황과 정책방향)

  • 김제홍;주상호
    • Journal of the Korea Society of Computer and Information
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    • v.8 no.1
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    • pp.140-148
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    • 2003
  • It is expected that the role and market share of B2B Electronic Commerce between countries increase in the future. To motivate this new type of marketing, civil-leading flexible regulation frame is needed than any other factors including its legislation and administration for activating each companys cooperation mind and friendly relationship also. Government policies should focus on coordination of competing circumstances and participating to international standardization working scope In addition, domestic situation of B2B Electronic Commerce and political perspectives are to be analyzed and proposed that contribute to broaden market share. These aims are obtained by scrutinizing some critical factors of current B2B market: companys trading characteristics, possibility of introducing to trading scope, and B2B Electronic Commerce Policy etc.

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An XML-Based Modeling Language for the Open Trading of Decision Models

  • Kim, Hyoung-Do
    • Korean Management Science Review
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    • v.17 no.3
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    • pp.147-160
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    • 2000
  • These days, a modeling tool or environment has to know about the others on the market and build bridges to them with which their customers insist on sharing models and data. When it is based on a closed architecture, a tangle of import/export point translators is required. Using an exchange standard, we can design an open architecture for the interchange of models and data. XML(Extensible Markup Language) provides a framework for describing the syntax for creating and exchanging data structures. The explosive growth of XML-based business proposals and standards reflects the urgent requirements and its strength. This paper proposes an XML-based language for sharing decision models within the MSOR/DSS community. The language is able to allow applications and on-line analytic processing tools to models obtained from multiple sources without having to deal with individual differences between those sources. It is expected to be a medium for B2B integration by supporting flexible interchange of decision models.

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