• Asia pacific journal of information systems
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• v.24 no.4
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• pp.559-575
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• 2014

Individual investors are increasingly flocking to message boards to seek, clarify, and exchange information. Businesses like Seekingalpha.com and business magazines like Fortune are evaluating, synthesizing, and reporting the comments made on message boards or blogs. In March of 2012, Yahoo! Finance Message Boards recorded 45 million unique visitors per month followed by AOL Money and Finance (19.8 million), and Google Finance (1.6 million) [McIntyre, 2012]. Previous studies in the finance literature suggest that online communities often provide more accurate information than analyst forecasts [Bagnoli et al., 1999; Clarkson et al., 2006]. Some studies empirically show that the volume of posts in online communities have a positive relationship with market activities (e.g., trading volumes) [Antweiler and Frank, 2004; Bagnoli et al., 1999; Das and Chen, 2007; Tumarkin and Whitelaw, 2001]. The findings indicate that information in online communities does impact investors' investment decisions and trading behaviors. However, research explicating the correlation between information on online communities and stock market activities (e.g., trading volume) is still evolving. Thus, it is important to ask whether a volume of posts on online communities influences trading volumes and whether trading volumes also influence these communities. Online stock message boards offer two different types of information, which can be explained using an economic and a psychological perspective. From a purely economic perspective, one would expect that stock message boards would have a beneficial effect, since they provide timely information at a much lower cost [Bagnoli et al., 1999; Clarkson et al., 2006; Birchler and Butler, 2007]. This indicates that information in stock message boards may provide valuable information investors can use to predict stock market activities and thus may use to make better investment decisions. On the other hand, psychological studies have shown that stock message boards may not necessarily make investors more informed. The related literature argues that confirmation bias causes investors to seek other investors with the same opinions on these stock message boards [Chen and Gu, 2009; Park et al., 2013]. For example, investors may want to share their painful investment experiences with others on stock message boards and are relieved to find they are not alone. In this case, the information on these stock message boards mainly reflects past experience or past information and not valuable and predictable information for market activities. This study thus investigates the two roles of stock message boards-providing valuable information to make future investment decisions or sharing past experiences that reflect mainly investors' painful or boastful stories. If stock message boards do provide valuable information for stock investment decisions, then investors will use this information and thereby influence stock market activities (e.g., trading volume). On the contrary, if investors made investment decisions and visit stock message boards later, they will mainly share their past experiences with others. In this case, past activities in the stock market will influence the stock message boards. These arguments indicate that there is a correlation between information posted on stock message boards and stock market activities. The previous literature has examined the impact of stock sentiments or the number of posts on stock market activities (e.g., trading volume, volatility, stock prices). However, the studies related to stock sentiments found it difficult to obtain significant results. It is not easy to identify useful information among the millions of posts, many of which can be just noise. As a result, the overall sentiments of stock message boards often carry little information for future stock movements [Das and Chen, 2001; Antweiler and Frank, 2004]. This study notes that as a dependent variable, trading volume is more reliable for capturing the effect of stock message board activities. The finance literature argues that trading volume is an indicator of stock price movements [Das et al., 2005; Das and Chen, 2007]. In this regard, this study investigates the correlation between a number of posts (information on stock message boards) and trading volume (stock market activity). We collected about 100,000 messages of 40 companies at KOSPI (Korea Composite Stock Price Index) from Paxnet, the most popular Korean online stock message board. The messages we collected were divided into in-trading and after-trading hours to examine the correlation between the numbers of posts and trading volumes in detail. Also we collected the volume of the stock of the 40 companies. The vector regression analysis and the granger causality test, 3SLS analysis were performed on our panel data sets. We found that the number of posts on online stock message boards is positively related to prior stock trade volume. Also, we found that the impact of the number of posts on stock trading volumes is not statistically significant. Also, we empirically showed the correlation between stock trading volumes and the number of posts on stock message boards. The results of this study contribute to the IS and finance literature in that we identified online stock message board's two roles. Also, this study suggests that stock trading managers should carefully monitor information on stock message boards to understand stock market activities in advance.

• Journal of Environmental Policy
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• v.8 no.1
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• pp.1-30
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• 2009

Emission trading schemes, exemplified by the EU Emission Trading Scheme, have been playing active roles in mitigating greenhouse gas emissions since the Kyoto Protocol employed an emission trading as one of the cost-effective mechanisms. The objective of this study is to investigate potential integration of forestry offsets in designing an emission trading scheme in South Korea. First, the study found feasible scopes in which forestry sectors can take part by analyzing five emission trading schemes: EU Emission Trading Scheme, Chicago Climate Exchange, New South Wales Greenhouse Gas Abatement Scheme, New Zealand Emission Trading Scheme, and Regional Greenhouse Gas Initiative. The rationale of including forestry offsets in a domestic emission trading scheme was derived from the fact that forestry offset credits can provide cost-effective ways for market participants to commit their emission targets and expand abatement activities through reducing greenhouse gases in other geographical locations as well as other industrial sectors. Even though forestry offset credits have risks induced by their technical complexities in terms of accounting, additionality, and leakage, the integration of forestry offset credits into an emission trading scheme would be able to provide positive opportunities both to forestry sectors and other industrial sectors. In addition, there are technical questions which need to be answered in order to maintain these opportunities.

• Journal of Korean Philosophical Society
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• v.126
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• pp.213-233
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• 2013

The aim of this paper is to reveal the ethical problem of insider trading. 'Insider trading' refer to obtaining information from non-public sources such as private acquaintances about trade secret, using it purposes of enhancing insider's financial advantages. And sometimes such a practice can be conducted fraudulently. Therefore, the focus of this paper will be on fairness or justice arguments against insider trading. And all kinds of discussion this paper are to focus the underlying consideration behind these arguments, that is, the underlying consideration about violation of ethical standards of fairness. First, one of these arguments argues that insider trading does necessarily involve defrauding general investors such as general employees, general stockholders. And economic power and unjust advantage of insider can be exercised to the detriment of this non-insider's interests. Second, another argument argues that insider trading undermines competition which is the principle of any free market. And insider trading is not only a complication in the free market mechanism, but also thwarts free competition which free markets depend. Third, the final argument argues that insider trading will be made something unfair about the concept of equal access to information. This argument argues, therefore, that to permit insider trading would be to set up stock market trading rules that are unfair to non-insiders.

• Ecology and Resilient Infrastructure
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• v.3 no.1
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• pp.54-61
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• 2016

There are many pilot programs and projects to implement the water quality trading (WQT) policy. But actual trading is relatively rare. The main reason of the scarce applications of WQT policy is the difficulty in determining the equalities between the trading sites. The uncertainty of the impacts of the nonpoint sources pollutant discharges between up and downstream urban development areas also makes the implementation of the policy harder. The simulated results from the watershed modeling program will be used to calculate the point and nonpoint sources pollutants of the future urban development scenarios. The amount of suspended sediments resulting from the urban developments and rainfall intensities will be used to indicate the environmental impacts of the water body between upstream and downstream. The water quality impacts after development scenarios to the outlet of the watershed were transferred to the trading units between two sites. The recommended trading units can be used as a decision support system for policy makers and stakeholders to carry out better WQT practices.

• Journal of the Korean Data and Information Science Society
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• v.25 no.2
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• pp.281-292
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• 2014

As the importance of algorithm trading is getting stronger, researches for artificial intelligence (AI) based trading strategy is also being more important. However, there are not enough studies about using more than two AI methodologies in one trading system. The main aim of this study is development of algorithm trading strategy based on the rough set theory that is one of rule-based AI methodologies. Especially, this study used genetic algorithm for optimizing profit of rough set based strategy rule. The most important contribution of this study is proposing efficient convergence of two different AI methodology in algorithm trading system. Target of purposed trading system is KOPSI200 futures market. In empirical study, we prove that purposed trading system earns significant profit from 2009 to 2012. Moreover, our system is evaluated higher shape ratio than buy-and-hold strategy.

• Journal of Navigation and Port Research
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• v.37 no.6
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• pp.719-725
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• 2013

Northeast Asia region is becoming the hub of world trade with China as the center. Integration of this region's economy is now visualized, domestic trade and international division of labor will be more invigorated. Especially on electrical and electronics industry is a large proportion of the trading volume between Korea and China and now, Present condition of electrical and electronics trading industry can effect on whole trading industry. In this study, conducting analysis of the current Korea-China electrical and electronics industry trading and advanced research, and find out the implication to trading volume with the panel analysis. As the results Korean/Chinese GDP, revealed comparative advantage, and foreign direct investment have an effect on the trading volume.

• Journal of the Korean Institute of Navigation
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• v.15 no.2
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• pp.61-86
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• 1991

This paper aims to investigated the reasonable objectiveness of trading areas on the Korea Ship Safety Act and to make a regulated proposal of trading areas. To achieve the above mentioned object, we analyzed the existing rules and other related circumstances of maritime fields. On the basis of this viewpoint, this paper was focused on three topics of concern : (1) the relationship between the ship Safety Act and other Maritime Acts. (2) the legislative examples of foreign countries, (3) the reasonable revised reasons of trading areas. In this paper, we proposed following four matters such as (1) the modification of ship's length and speed which are the designative basis of trading areas, (2) the extension of the smooth sea area to limit of territorial seas (3) the extension of the near-coastal area to the coasts of the P.R.C., Japan, the U.S.S.R and the R.O.C ., and rename of its area into the near & greater coastal area, (4) the annulment of greater-coastal area.

• Journal of the Korean Operations Research and Management Science Society
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• v.42 no.3
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• pp.13-24
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• 2017

This paper aims to implement "structural changes detection procedure" in pairs trading algorithm and to show that the proposed approach outperforms the extant pair trading algorithm. Structural changes in pairs trading are defined in terms of changes in cointegrating factors and broken cointegration relationship. These changes are designed to test extant structural changes and unit root test methodologies. The simulation finds that expanding the changes in structure, increasing the mean reverting process of spread, and extending the consecutive days of broken cointegration will increase the performances of the proposed algorithm. Empirical study results are also consistent those of the simulation studies. The proposed algorithm outperforms the extant algorithm relative to risk and return given that the cumulative profit/loss has a significant upward-slope with minimal variance.

• Journal of Korea Port Economic Association
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• v.20 no.2
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• pp.53-71
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• 2004

The container throughput of China, after the joining in the WTO, has begun to increase notably. As a result, China is busy building new ports continuously. In accordance with China's situation Korea promote the development plans of ports and marketing strategy to attract the increasing cargo traffics with China, including transhipment cargoes. To build the competition strategy and the panning port for trading cargoes with China, an analysis on origin/destination is necessary. The cargo volume from/to the particular port(Korea/China) and origin/destination of traffic are important factors in the requirement for the port development. Therefore, in the era that trading with China is rapidly increasing, this study is performed to analyze the port's usage of transporting the cargos and the origin/destination of trading cargoes with china. Also this paper suggests to the competitive strategies of Pyungtaek Port to attract cargoes particularly from/to China.

• Journal of Information Technology Applications and Management
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• v.21 no.4
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• pp.1-13
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• 2014

This study aims to show the risk reduction effects of round-the-clock trading environment. We analyse the trading results of the currency futures contracts in CME Globex which are open 23 hours a day. These include Euro FX, Japanese Yen, Australian Dollar, and British Pound from January 2005 to August 2013. We generate new price series using only daytime prices during about 7-hour period. This hypothetical "G" data series may have greater gap risk than the original "R" data series. Empirical results show the trading risk reduction effects, that is R data series have higher profits and lower risks than G data series.