• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.3
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• pp.155-161
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• 2016

In current algorithm trading system, general users need to program their algorithms using programing language and APIs provided from financial companies. Therefore, such environment keeps general personal investors away from using algorithm trading. Therefore, this paper focuses on developing user-friendly algorithm trading system which enables general investors to make their own trading algorithms without knowledge on program language and APIs. In the system, investors input their investment criteria through user interface and this automatically creates their own trading algorithms. The proposed system is composed with two parts: server intercommunicating with financial company server to send and to receive financial informations for trading, and client including user convenience-based user interface representing secondary indexes and strategies, and a part generating algorithm. The proposed system performance is proven through simulated-investment in which user sets up his investment strategy, algorithm is generated, and trading is performed based on the algorithm

• Management & Information Systems Review
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• v.33 no.1
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• pp.45-63
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• 2014

A trading system is a computer trading program that automatically submits trades to an exchange. Mechanical a trading system to execute trade is spreading in the stock market. However, a trading system to trade a single asset might occur instability of the profit because payoff of this system is determined a asset movement. Therefore, it is necessary to develop a trading system that is trade two assets such as a pair trading that is to sell overvalued assets and buy the undervalued ones. The aim of this study is to propose a relative value based trading system designed to yield stable and profitable profits regardless of market conditions. In fact, we propose a procedure for building a trading system that is based on the rough set analysis of indicators derived from a price ratio between two assets. KOSPI 200 index futures and S&P 500 index futures are used as a data for evaluation of the proposed trading system. We intend to examine the usefulness of this model through an empirical study.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.52 no.10
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• pp.616-623
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• 2003

Competition among electric generation companies is a major goal of restructuring in the electricity industry, The trading system in an electricity market has been one of the most important issues in deregulated electricity market. This paper deals with comparisons of the major two types of the trading system: compulsory pool market and bilateral contract market. The two trading systems are compared quantitatively from the viewpoint of consumer's surplus and social welfare, This paper, also, proposes a unified model of Cournot and Bertrand for analyzing the mixed trading system of pool market and bilateral contract market. Nash equilibrium of the unified model is derived by criteria for participating in bilateral contract market. Numerical results from a sample case show that a mixed trading system of pool market and price-competitive bilateral market is beneficial to consumer from the view points of consumer's surplus.

• Journal of Climate Change Research
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• v.6 no.1
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• pp.11-19
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• 2015

This study has aimed to compare an emission trading system (ETS) in the EU and Japan that introduced the scheme prior to Korea and provided the latter with a benchmarking model. Especially, the EU has a reputation for its well-organized and evolving system, and Japan has also successfully established the system despite its similar condition with Korea, such as an industrial structure and the degree of energy dependence. However, there are noticeable differences between the EU and Japan in their ETS. Whereas Japan has focused on securing certifications in CDM as the implementation of Kyoto protocol, EU has shown a tendency to transform the trading market from a parallel structure of EUA and CER transaction to only the EUA transaction after ending of 1st commitment period of the Kyoto Protocol. Since the differences were mainly caused by not only in a design of the system but also in internal governance and their national circumstance, it is meaningful to analyse the Korean case with a similar framework. This study may contribute to designing an appropriate system for emission trading in Korea through the comparison of the EU and Japanese case.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.27 no.1
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• pp.57-68
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• 2019

The emission trading system implemented in Korea is a system in which the government allocates or sells emission rights by setting the emission allowable amount to economic players subject to the emission trading system, allowing companies to freely trade shortfall or extra money through the emission trading market. Korea also had implemented its first emission trading system scheme period of time from 2015 to 2017. As a result of the first planning period in which total of seven Korean airlines were targeted, the emission amount was about 5.51 million KAU, while the quota amount was only about 4.85 million KAU, about 116% of the actual quota was emitted and Domestic airlines have incurred additional costs of about 10.7 billion won. Due to ICAO's implementation of CORSIA, the airlines are expected to have to shoulder additional costs because purchasing exceed quota will be increased in order to offset excess emissions not only on domestic but also on international routes. Thus, this paper had analyzed the characteristics of the carbon trading system of air transport industry and suggested a mix of regulatory policies as an improvement method.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.13 no.3
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• pp.91-99
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• 2003

In this paper, we analyze the current trading systems and suggest two secure electronic trading systems that make a fair exchange for online game items. The system is made up for the weak points in the current item trading system. In the proposed system, a game server issues a certificate each item on the user's request. On the one hand, this certificate is used to recover the item when the system error is occured. On the other hand, the user may exchange it with another item or cyber money. The proposed system supports private and reliable trading. Further, the trading can be completed only by online processing.

• Journal of the Korean Society of Industry Convergence
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• v.7 no.1
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• pp.121-127
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• 2004

This paper is to give some hints to solve the problems of the Korean The third Market suffering from the extreme shortage of the liquidity. To solve that problem, this paper mainly compare the liquidity indices of the Third Market with that of the Japanese third market, that is Mothers. The main liqudity indices of the Mothers shows better than that of the Korean Third Market redardless of the small numbers of the listed Firms. The main differences in the liquidity levels between two markets is to caused by the trading system. The Korean Third Market has been adapting the one-to-one trading system which most stock markets of the world gave up that system owing to the inefficiency. This paper shows the proper trading system for the Third Market is competitve trading system partialy combined with the market maker system beacause of the small firm characterristics.

• Korean System Dynamics Review
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• v.10 no.2
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• pp.53-79
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• 2009

The main purpose of this study is to find what steps are needed for a system for CO2 emissions trading to be formulated as government policy, using System Thinking approach. First, this paper analyzed Korean newspapers to consider the social issue regarding CO2 emissions trading. There were more articles related to international issues than domestic ones before 2008. This trend, however, became reversed from January 2008, which means that consideration of CO2 emissions trading has been discussed as a domestic social issue from 2008. Second, it analyzed speeches by former president Roh Moo-Hyun and current president Lee Myung-bak. In particularly, President Lee Myung-bak declared "Low Carbon and Green Growth" as a new growth engine and a Korea's vision of the future national development. Third, it examined which government agencies, including departments and committees, are pursuing policies regarding climate change, global warming, and CO2 emissions trading. Most policy has originated in the Ministry of Environment, although policy alternatives have been proposed in other agencies including the Ministry of Knowledge Economy. The study concludes that the political consideration has played a major role in the policy agenda-setting process of the CO2 emissions trading in Korea.

• Journal of KIISE:Software and Applications
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• v.29 no.11
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• pp.785-794
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• 2002

Automatic stock trading systems should be able to solve various kinds of optimization problems such as market trend prediction, stock selection, and trading strategies, in a unified framework. But most of the previous trading systems based on supervised learning have a limit in the ultimate performance, because they are not mainly concerned in the integration of those subproblems. This paper proposes a stock trading system, called R-Trader, based on reinforcement teaming, regarding the process of stock price changes as Markov decision process (MDP). Reinforcement learning is suitable for Joint optimization of predictions and trading strategies. R-Trader adopts two popular reinforcement learning algorithms, temporal-difference (TD) and Q, for selecting stocks and optimizing other trading parameters respectively. Technical analysis is also adopted to devise the input features of the system and value functions are approximated by feedforward neural networks. Experimental results on the Korea stock market show that the proposed system outperforms the market average and also a simple trading system trained by supervised learning both in profit and risk management.

• The Journal of Information Systems
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• v.26 no.3
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• pp.63-90
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• 2017

Purpose This study proposes a novel system trading model using case-based reasoning (CBR) based on absolute similarity threshold. The proposed model is designed to optimize the absolute similarity threshold, feature selection, and instance selection of CBR by using genetic algorithm (GA). With these mechanisms, it enables us to yield higher returns from stock market trading. Design/Methodology/Approach The proposed CBR model uses the absolute similarity threshold varying from 0 to 1, which serves as a criterion for selecting appropriate neighbors in the nearest neighbor (NN) algorithm. Since it determines the nearest neighbors on an absolute basis, it fails to select the appropriate neighbors from time to time. In system trading, it is interpreted as the signal of 'hold'. That is, the system trading model proposed in this study makes trading decisions such as 'buy' or 'sell' only if the model produces a clear signal for stock market prediction. Also, in order to improve the prediction accuracy and the rate of return, the proposed model adopts optimal feature selection and instance selection, which are known to be very effective in enhancing the performance of CBR. To validate the usefulness of the proposed model, we applied it to the index trading of KOSPI200 from 2009 to 2016. Findings Experimental results showed that the proposed model with optimal feature or instance selection could yield higher returns compared to the benchmark as well as the various comparison models (including logistic regression, multiple discriminant analysis, artificial neural network, support vector machine, and traditional CBR). In particular, the proposed model with optimal instance selection showed the best rate of return among all the models. This implies that the application of CBR with the absolute similarity threshold as well as the optimal instance selection may be effective in system trading from the perspective of returns.