• Journal of Intelligence and Information Systems
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• v.29 no.2
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• pp.129-148
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• 2023

Bitcoin is a blockchain technology-based digital currency that has been recognized as a representative cryptocurrency and a financial investment asset. Due to its highly volatile nature, Bitcoin has gained a lot of attention from investors and the public. Based on this popularity, numerous studies have been conducted on price and trend prediction using machine learning and deep learning. This study employed LSTM (Long Short Term Memory) and CNN (Convolutional Neural Networks), which have shown potential for predictive performance in the finance domain, to enhance the classification accuracy in Bitcoin price trend prediction. XAI(eXplainable Artificial Intelligence) techniques were applied to the predictive model to enhance its explainability and interpretability by providing a comprehensive explanation of the model. In the empirical experiment, CNN was applied to technical indicators and Google trend data to build a Bitcoin price trend prediction model, and the CNN model using both technical indicators and Google trend data clearly outperformed the other models using neural networks, SVM, and LSTM. Then SHAP(Shapley Additive exPlanations) was applied to the predictive model to obtain explanations about the output values. Important prediction drivers in input variables were extracted through global interpretation, and the interpretation of the predictive model's decision process for each instance was suggested through local interpretation. The results show that our proposed research framework demonstrates both improved classification accuracy and explainability by using CNN, Google trend data, and SHAP.

• Journal of Digital Convergence
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• v.12 no.4
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• pp.51-68
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• 2014

Today's public sector information is considered an important national asset that has social and economic value. Hence, developed countries are competitively promoting various policies to actively promote access to public sector information and the use of such information for private purposes. The Korean government is also boosting the Government 3.0 policy as a new governmental management paradigm that supports the creative economy. Despite these governmental efforts, since open public sector information is only classified from the supplier's perspective, it is difficult to have access to information for private application from the consumer's perspective and expand private applications because of the problems in identifying the information source. In this study, the concept of data from the user's perspective for the activation of private applications was defined by focusing on public sector information obtained by affiliated organizations of the Ministry of Science, ICT and Future Planning(MSIP). The new classification system was designed by analyzing the classification system of conventional open services of public sector information through investigation.

• Journal of the Korean Association of Geographic Information Studies
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• v.17 no.1
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• pp.144-158
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• 2014

This research presented a conceptual design of damage assessment inventory for efficient response to natural disaster damage of infrastructure close to the river. It consists of classification and categorization of facilities for accomplishing the conceptual design of inventory for damage of infrastructure close to the river. However, there are arising problems of efficient management on disaster, such as poor management of data facilities and constructions which is managed by the different types of government departments. Therefore, this research presented conceptual models of damage assessment inventory on risks of damage infrastructure close to the river using the United states' HAZUS-MH to analyze damage facilities, type of asset classification, classification of domestic facilities and guidelines for computing the value of assets. Conceptual models of inventory this research presented is to be used on the data for damage response on protected inland damage assessment and to increase efficiency for evaluating detailed damage amount of private property by natural disaster and to establish a restoration plan.

• The Journal of the Korea Contents Association
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• v.20 no.11
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• pp.131-144
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• 2020

Political connection are widespread in many countries and are a hot topic in economic research right now. In China, companies are actively forming political connections in several ways. Based on the research model and theoretical analysis, this thesis puts forward the research hypothesis and constructs the research model of political connections and corporate performance using the financial data and corporate governance data of China A-share listed real estate companies in 2010-2014. The thesis mainly analyzes the political association of CEO. For the analysis result, this research uses the univariate regression analysis and multivariate analysis to carry out the robustness test. The empirical study analysis includes three parts: firstly, in Chinese listed real estate enterprises, CEO political connection has a significantly negative correlation with corporate performance. It means real estate enterprises whose CEO has political connections gain a lower performance than other enterprises; Secondly, from the personal characteristics of the CEO, age, sex and education level have positive relationship with the performance of the enterprise, the additional post situation negatively related to the firm's performance; Finally, the firm's scale liquidity ratio and capital asset rario have a negative relationship with corporate performance, and the number of top managers is positively related to corporate performance. This research made a study on the political connection in Chinese real estate industry, which could also provide beneficial references for the development of enterprises in this industry.

• Journal of Distribution Science
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• v.13 no.9
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• pp.37-45
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• 2015

Purpose - This paper's aim is to investigate whether or not gross profitability explains the cross-sectional variation of the stock returns in the Korean stock market. Gross profitability is an alternative profitability measure proposed by Novy-Marx in 2013 to predict cross-sectional variation of stock returns in the US. He shows that the gross profitability adds explanatory power to the Fama-French 3 factor model. Interestingly, gross profitability is negatively correlated with the book-to-market ratio. By confirming the gross profitability premium in the Korean stock market, we may provide some implications regarding the well-known value premium. In addition, our empirical results may provide opportunities for the fund distribution industry to promote brand new styles of funds. Research design, data, and methodology - For our empirical analysis, we collect monthly market prices of all the companies listed on the Korea Composite Stock Price Index (KOSPI) of the Korea Exchanges (KRX). Our sample period covers July1994 to December2014. The data from the company financial statementsare provided by the financial information company WISEfn. First, using Fama-Macbeth cross-sectional regression, we investigate the relation between gross profitability and stock return performance. For robustness in analyzing the performance of the gross profitability strategy, we consider value weighted portfolio returns as well as equally weighted portfolio returns. Next, using Fama-French 3 factor models, we examine whether or not the gross profitability strategy generates excess returns when firmsize and the book-to-market ratio are controlled. Finally, we analyze the effect of firm size and the book-to-market ratio on the gross profitability strategy. Results - First, through the Fama-MacBeth cross-sectional regression, we show that gross profitability has almost the same explanatory power as the book-to-market ratio in explaining the cross-sectional variation of the Korean stock market. Second, we find evidence that gross profitability is a statistically significant variable for explaining cross-sectional stock returns when the size and the value effect are controlled. Third, we show that gross profitability, which is positively correlated with stock returns and firm size, is negatively correlated with the book-to-market ratio. From the perspective of portfolio management, our results imply that since the gross profitability strategy is a distinctive growth strategy, value strategies can be improved by hedging with the gross profitability strategy. Conclusions - Our empirical results confirm the existence of a gross profitability premium in the Korean stock market. From the perspective of the fund distribution industry, the gross profitability portfolio is worthy of attention. Since the value strategy portfolio returns are negatively correlated with the gross profitability strategy portfolio returns, by mixing both portfolios, investors could be better off without additional risk. However, the profitable firms are dissimilar from the value firms (high book-to-market ratio firms); therefore, an alternative factor model including gross profitability may help us understand the economic implications of the well-known anomalies such as value premium, momentum, and low volatility. We reserve these topics for future research.

• Journal of the Korean Institute of Navigation
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• v.19 no.3
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• pp.35-65
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• 1995

The development of Korean shipping industry is maybe defined into three development stages-industry fixing stage, industry coordinating stage, industry development stage-. The development of shipping industry has been depended on the geovernment/authority role such as shipping policy, system, law, rules and regulations. In 1983, Korean shipping industry reorganization and coordination by shipping authority have made our shipping industry on the stable condition together with each company's efforts. Today's world economic environment such WTO/UR negotiation results get this government role limited. According to the being reduced government role, each company's competitive advantage power becomes more important. Besides, korean shipping industry is exposed into the entire and bitter world competition. In order to win and prevent the world shipping competition, it is necessary to look out the competitive advantage power of Korean shipping industry. The first purpose of this study is the situation analysis for competitive advantage power of Korean shipping industry. The second is to compare with our shipping policies with foreign ones concerned with ship, cargo, crew, tax and others. But in order to compare with foreign shipping, this study need their shipping statistics data, this study has some limit of the foreign data. This study has been carried on the basis of the following items. 1. Shipping environment, 2. Ships and ship acquirement(shipbuilding/purchasing), 3. Oceangoing cargo and ship's stowage rate, 4. Human factor in shipping-crew, 5. The incomes and costs in finacial statements. We have some conclusions as following through the this study. First, Korean shipping industry environment-competitive disadvantage situation- has changed rapidly due to the shipping market opening, free market entering of foreign shipping. Second, Korean shipping is disadvantageous due to the high tax rate and financing conditions in connection with ship acquirement. In order to improve the competitive advantage power, the shipping tax system and ship financing conditions should be reviewed to profitable for owners. Third, but both world and Korean oceangoing cargoes quantity have been increased annualy, Korean ship's cargo stowage rate is being decreased. This is serious situation but Korean shipping take well use of foreign vessel with hire. It is recommended to take use of owner's vessel and hired ones in the long range view, considering the world shipping management. But the number of crew has been decreased by 2, 000~3, 000 annualy, it is desirable that the long sea-experienced crew have been increased. Almost of owners usauly complain the crew cost is the main obstacles to competitive advantage power. Human factor is the most important firm's asset. All owners should pay attention to this though, and invest the proper budget to training, education, welfare as much as possible. In the long run this effects could be feedback to owners. Fifth, We must improve the financial statements structure, that is, the first step is to increase income, the second is to decrease cost, the third is to increase income on the same cost, the fourth is to decrease cost on the same income. It is essential to find out what the urgent investment is and what unnecessary cost is. At last, in order to competite world shipping race, each shipping firm must try for himself to retain the power. The government/authority is no longer dependable. I believe that each firm's power will be the industry's power, the industry's power will be the nations's power.

• The Journal of the Korea Contents Association
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• v.14 no.6
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• pp.367-384
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• 2014

This study addresses an empirical issue which has been received little attention in the contemporary finance literature: To identify any financial determinants of the profitability indices for the firms belonging to the Korean chaebol. Three hypotheses of concern were postulated and tested for the sample firms covering the periods of the pre-and post-financial global crises. Regarding the results on the 1st hypothesis test of characterizing any financial profiles for the firms (belonging to the chaebols) by estimating a legitimate panel data model: the present study found the statistically significant relationships of the explanatory variables (BVLEVl, MVLEVl, MV/BV, RISK, FCFF and FOS) with the book-value based profitability ratio: while the market-valued profitability index was explained only by BVLEV2. Regarding the 2nd hypothesis test for the profitability of the sample firms at the industry level: the chaebol firms in the chemical and the food industries overall positioned themselves into the top ranks in order, which was tested by the ANCOVA and the Tukey multiple comparison procedure. Finally: on the 3rd hypothesis test for the 'adjusted' Dupont system, only two such as the 'operating margin' and the 'asset turnover' showed their significant effects between the chaebol firms and their counterparts in both the (parametric) independent samples t-test and the (nonparametric) Wilcoxon-Mann-Whitney statistics.

• The Journal of the Korea Contents Association
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• v.13 no.1
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• pp.456-466
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• 2013

The most important thing to develop real estate asset would be a feasibility study. To secure feasibility of development projects, reducing and minimizing the cost of land and construction also would be the important thing. To analyze optimal land-value for real estate development projects, I have collected 204 balance sheets of development projects in South Korea. With the help of statistical technology, I could have selected useful data from those balance sheets. After detailed analysis of statistical data, I could have reached conclusion that the most important factor to earning rate would be land cost per unit ground area under the constraint of given sale price. So far the main pattern of feasibility study of development projects was land cost and construction cost. However, by this study, I have found a new fact that construction cost has little effect to earning rate and land cost per unit ground area is the most effect to earning rate especially in residential facilities rather than commercial ones.

• Knowledge Management Research
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• v.21 no.3
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• pp.229-247
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• 2020

In the remarkable growth of P2P financial platform in the field of knowledge management, only companies with big data and machine learning technologies are surviving in fierce competition. The ability to analyze borrowers' credit is most important, and platform companies are also recognizing this capability as the most important business asset, so they are building a credit evaluation system based on artificial intelligence. Nonetheless, online P2P platform providers that offer related services only act as intermediaries to apply for investors and borrowers, and all the risks associated with the investments are attributable to investors. For investors, the only way to verify the safety of investment products depends on the reputation of P2P companies from newspaper and online website. Time series information such as delinquency rate is not enough to evaluate the early stage of Korean P2P makers' credit analysis capability. This study examines the credit analysis procedure of P2P loan platform using artificial intelligence through the case analysis method for well known the top three companies that are focusing on the credit lending market and the kinds of information data to use. Through this, we will improve the understanding of credit analysis techniques through artificial intelligence, and try to examine limitations of credit analysis methods through artificial intelligence.

• Journal of Distribution Science
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• v.13 no.5
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• pp.71-82
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• 2015

Purpose - The purpose of this study is to investigate risk price implied from the pricing kernel of Korean stock distribution market. Recently, it is considered that the quantitative easing programs of major developed countries are contributing to a reduction in global uncertainty caused by the 2007~2009 financial crisis. If true, the risk premium as compensation for global systemic risk or economic uncertainty should show a decrease. We examine whether the risk price in the Korean stock distribution market has declined in recent years, and attempt to provide practical implications for investors to manage their portfolios more efficiently, as well as academic implications. Research design, data and methodology - To estimate the risk price, we adopt a non-parametric method; the minimum norm pricing kernel method under the LOP (Law of One Price) constraint. For the estimation, we use 17 industry sorted portfolios provided by the KRX (Korea Exchange). Additionally, the monthly returns of the 17 industry sorted portfolios, from July 2000 to June 2014, are utilized as data samples. We set 120 months (10 years) as the estimation window, and estimate the risk prices from July 2010 to June 2014 by month. Moreover, we analyze correlation between any of the two industry portfolios within the 17 industry portfolios to suggest further economic implications of the risk price we estimate. Results - According to our results, the risk price in the Korean stock distribution market shows a decline over the period of July 2010 to June 2014 with statistical significance. During the period of the declining risk price, the average correlation level between any of the two industry portfolios also shows a decrease, whereas the standard deviation of the average correlation shows an increase. The results imply that the amount of systematic risk in the Korea stock distribution market has decreased, whereas the amount of industry-specific risk has increased. It is one of the well known empirical results that correlation and uncertainty are positively correlated, therefore, the declining correlation may be the result of decreased global economic uncertainty. Meanwhile, less asset correlation enables investors to build portfolios with less systematic risk, therefore the investors require lower risk premiums for the efficient portfolio, resulting in the declining risk price. Conclusions - Our results may provide evidence of reduction in global systemic risk or economic uncertainty in the Korean stock distribution market. However, to defend the argument, further analysis should be done. For instance, the change of global uncertainty could be measured with funding costs in the global money market; subsequently, the relation between global uncertainty and the price of risk might be directly observable. In addition, as time goes by, observations of the risk price could be extended, enabling us to confirm the relation between the global uncertainty and the effect of quantitative easing. These topics are beyond our scope here, therefore we reserve them for future research.