• Journal of the Korea Convergence Society
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• v.11 no.10
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• pp.19-24
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• 2020

Artificial intelligence technology, which is the core of the 4th industrial revolution, is making intelligent judgments through deep learning techniques and machine learning that it is impossible to predict if it is applied to stock prediction beyond human capabilities. In US fund management companies, artificial intelligence is replacing the role of stock market analyst, and research in this field is actively underway. In this study, we use BLSTM to reduce errors that occur in unidirectional prediction of the existing LSTM method, reduce errors in predictions by predicting in both directions, and macroscopic indicators that affect stock prices, namely, economic growth rate, economic indicators, interest rate, analyze the trade balance, exchange rate, and volume of currency. To help stock investment by accurately predicting the target price of stocks by analyzing the PBR, BPS, and ROE of individual stocks after analyzing macro-indicators, and by analyzing the purchase and sale quantities of foreigners, institutions, pension funds, etc., which have the most influence on stock prices.

• Asia-Pacific Journal of Business
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• v.11 no.2
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• pp.133-143
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• 2020

Purpose - This study seeks to summarize the tax changes in stock trading and analyze K-OTC stock trading data in 2017 and 2018 to infer the effects of the application of capital gains taxes by individual investors. Design/methodology/approach - This study analyzes the case of the expansion of the 2018 capital gains tax exemption in the K-OTC market, which exempts capital gains tax on the proceeds from the sale of individual investors of certain stocks under the temporary special law. Findings - In the K-OTC market, the amount of transactions has expanded since the capital gains tax exemption in 2018, but the volume of transactions and transaction turnover have decreased. In particular, the result of lower transaction turnover after the expansion is contrary to expectations. To control the macroscopic effects of the stock market, further analyses the transactions of capital gains tax-exempt stocks and non-exempt stocks. The turnover rate of exemption stocks is higher than that of the non-exempt stocks. In the case of transaction turnover, the two results are not consistent. However, the latter result is more meaningful because the comparison of exempt and non-exempt reduces distortion by macro effects. Research implications or Originality - To mitigate the impact of capital gains taxes on stock market, government authorities need to consider the gradual expansion of the scope of taxation, the application of separate taxation in the introduction of capital gains, the reduction tax rate on transfer income of listed shares, and the reduction tax rate on long-term holdings.

• The Journal of Society for e-Business Studies
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• v.6 no.3
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• pp.1-16
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• 2001

In this paper, we introduced a POS(Point of Sale) system for a wallpaper company. We designed the database schema for the POS system, and proposed various application areas of the POS system. Especially, we discussed such application areas as inventory control, marketing, product development, and distribution channel. The quality of product management is enhanced by precise ABC inventory control and safety stock control. Marketing strategies can be more precisely established, and their effects can be measured. The development time can be shortened and new products can be developed based on the real market demands. Distributors can improve their management quality using precise sales data.

• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.2 s.150
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• pp.221-232
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• 2006

The purposes of this paper were to identity the present condition of the imported fashion luxury brands' market arid to analyze the differences of marketing strategies according to the types of retailers. We selected 3 department stores, 5 luxury brands, 5 stores in Dongdeamun Market, and 5 internet luxury shopping malls, and conducted key informant survey to 20 experts. The brands in department stores consisted the goods according to VIPs' pre-orders, sales of the previous year, and fashion trends, and offered the differentiated customer services to VIPs. The stores in Dongdaemun Market bought the products from the parallel importers or imported the goods from the original nations of the brands by themselves. The goods in stock and steady sellers were comprised of the main portion of all products, and leather goods were dominated. The price of goods in stock was about $30\∼50\%$ lower than the normal price of department stores, but the new products' price was only about 10$\%$ lower than that of department stores. Luxury shopping malls could be classified into two types; one conducted both product buying and commission sale, and the other conducted commission sale only. In former case, however, the product buying portion was under 30$\%$. Product assortments and the price strategy were similar to the stores of Dongdeamun Market, and CRM was conducted partially.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.3
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• pp.115-125
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• 2020

This paper investigates the impact of working capital management on the firm's profitability. The research sample includes 119 non-financial listed companies on Vietnam stock market over a period of 9 years from 2010 to 2018. Two statistical approaches include Ordinary least squares (OLS) and fixed effects model (FEM) are employed to address econometric issues and to improve the accuracy of the regression coefficients. The empirical results show the negative and significant impacts of the working capital management, which measured by cash conversion cycle (CCC) and three components of the CCC including accounts receivable turnover in days (ARD), inventory turnover in days (INVD), and accounts payable turnover in days (APD) on the firm's profitability measured by return on assets (ROA) and Tobin's Q. It implies that firms can increase profitability by keeping the optimization of the working capital management measured by the CCC, which includes shortening the time to collect money from clients, accelerating inventory flow and hold the low payment time to creditors. Besides, the profitability of firms was impacted by the sale growth rate, firm size, leverage, and age. Therefore, this paper provides a new insight to managers on how to improve the firm's profitability with working capital management.

• Management Science and Financial Engineering
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• v.11 no.1
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• pp.1-24
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• 2005

The results of a study of the coordination effect in stocking and promotional markdown policies for a supply chain consisting of a retailer and a discount outlet (DCO) are reported here. We assume that the product is sold in two consecutive periods: the Normal Sales Period (NSP) and the subsequent Promotional Markdown Sales Period (PSP). We first study an integrated supply chain in which managers in the two periods design a common system so as to jointly decide the stocking quantities, markdown time schedule, and markdown price to maximize mutual profit. Next, we consider a decentralized supply chain. An uncoordinated contract is designed in which decisions are decentralized to optimize the individual party's objective function. Here, three sources of system inefficiencies cause the decentralized system to earn a lower expected system profit than that in the integrated supply chain. The three sources are as follows: in the decentralized system the retailer tends to (1) stock less, and (2) keep a longer sales period, and the DCO tends to (3) stock fewer leftovers inventories and charge a higher markdown price. Finally, a numerical experiment is provided to compare the coordinated model with the uncoordinated model to explore factors that make coordination an effective approach.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.1 no.2
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• pp.85-92
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• 2000

Warrants are often described as call potions written tv firms on their own stock. However, a call option is a pure side bet; i.e., none of the cash flows associated with the call's sale or exercise involves the firm. Issuing warrants on the other hand, can affect the firm's aggregate level of investment, composition of its capital structure. and the price of the stock on which warrant can be exercised. The problem of the warrant pricing can be solved by using of multivariate data analysis techniques, such as regression analysis or discriminant analysis, instead of OPM. The value of this approach is that we can evlauate the relative importance of each independent variable which affect a price of a warrant. This study empirically examines the Japanese warrant pricing by multiple regression analysis using a sample or 300 observations traded on Tokyo Stock Exchange during the periods between 1995 and 1996.

• Proceedings of the KAIS Fall Conference
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• 2006.05a
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• pp.442-445
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• 2006

본 논문에서는 EPCglobal Network 기반에서 RFID를 이용하여 상품의 판매와 재고를 실시간으로 모니터링하고 이를 효율적으로 관리할 수 있도록 실시간 판매 및 재고 관리 시스템을 제안한다. 제안하는 시스템은 RFID를 이용하여 매장의 진열상품과 재고상품에 대한 정보 파악이 실시간으로 가능하며, 지능형 학습에 의한 안전재고 임계값 계산 및 자동 공지 에이전트를 통해 효율적으로 자동 발주 프로세스를 지원해 줄 수 있어 상품 진열대 및 창고의 재고 상품을 효율적으로 관리할 수 있다. 또한 매장의 진열대 및 상품 보관 창고에 있는 상품의 부족 현상(결품)으로 인한 판매 손실을 최소화하기 위해 적시에 상품을 보충 할 수 있도록 지원이 가능하다.

• Asia pacific journal of information systems
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• v.13 no.3
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• pp.23-39
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• 2003

Recently, many organizations in various industries have introduced e-business for the purpose of adding value to their business. But, the e-business model has not existed before and so, it is difficult to analyze clear effectiveness. It frequently does not live up to an organization's expectations. It is due to an absence of environmental changes analysis in the new model, not by a new model itself. System Dynamics(SD) may provide effective results as a tool of analysis for the new model. This research shows the analysis of the effects of a simulated e channel model, which was expanded from existing channel modeling with actual data in basic materials industries. The results show average prices increasing by auction process on the e-market and an increase in sales. So, by increasing the speed of sale revolution stock expenses are reduced. Additionally, we applied a possible scenario to the developed simulation model and investigated strategic issues to draw desirable strategies with market changes.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.6
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• pp.2038-2045
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• 2010

Households' monthly average income is composed of various factors. This study paper studies focuses on estimating the determinants of a households' monthly average income. The region for analysis consist of three groups, that is, the whole country, a metropolitan city(such as Busan, Daegu, Incheon, Gwangiu, Daejeon, Ulsan.) and Seoul. Analyzing period be formed over a 57 time points(2005. 01~2009. 09). In this paper the dependent variable setting up the households' monthly average income, explanatory (independent) variables are composed of the consumer price index, employment to population ratio, Index of housing sale price, the preceding composite index, loans of housing mortgage, spending rate for care medical expense and the composite stock price index. In looking at the factors which determine the monthly average income, evidence was produced supporting the hypothesis that there is a significant positive relationship between the composite index and housing loans. The study also produced evidence supporting the view that there is a significant negative relationship between employment ratios, the house sale pricing index and spending rates for care or medical needs. The study found that the consumer price index and composite stock price index were not significant variables. The implications of these findings are discussed for further research.