• 한국철도학회:학술대회논문집
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• 한국철도학회 2008년도 춘계학술대회 논문집
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• pp.806-812
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• 2008

Many kinds of rolling-stocks that have various control methods are being operated by Seoulmetro which is a history of a city railroad rolling-stock. Seoulmetro is being faced with a wheel management comparing of other lines with a perpendicular wear of wheel and a side damage, and so on, by operating several cars at a loop line. This is causing maintenance expenses increase and deteriorating a fusibility of rolling-stock, for it has an effect on a rolling-stock using. A cutting pattern of wheel and a wear form affect the expected span of a wheel. A wheel cutting cause is classifed into cutting for reprofiling of a flange wear of wheel and for removing every kind defect which originates from wheel wear. In this study, Seoulmetro exhibit a stable rolling-stock use method and a reasonable management method of wheel, analysing wheel exchange condition and cutting management of wheel.

• 산업경영시스템학회지
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• 제36권1호
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• pp.96-102
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• 2013

This paper makes a detailed comparison between two metrics designed for measuring customer's satisfaction in the retail industry. The first metric, which is called the customer service level, has not been widely used due to the intrinsic requirement on the parameter assumption(s) of the demand distribution. Unlike the customer service level metric the in stock ratio metric does not require any requirements on the demand distribution. And the in stock ratio metric is also very easy to understand the meaning. To develop the detailed planning activities for business with the in stock ratio metric on hand one should collect some information as following : 1) POS (Point of sales) data, 2) Inventory Data 3) Inventory Trend.

• Journal of Information Processing Systems
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• 제15권5호
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• pp.1201-1210
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• 2019

Stock price is characterized as being mutable, non-linear and stochastic. These key characteristics are known to have a direct influence on the stock markets globally. Given that the stock price data often contain both linear and non-linear patterns, no single model can be adequate in modelling and predicting time series data. The autoregressive integrated moving average (ARIMA) model cannot deal with non-linear relationships, however, it provides an accurate and effective way to process autocorrelation and non-stationary data in time series forecasting. On the other hand, the neural network provides an effective prediction of non-linear sequences. As a result, in this study, we used a hybrid ARIMA and neural network model to forecast the monthly closing price of the Shanghai composite index and Shenzhen component index.

• 아태비즈니스연구
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• 제10권3호
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• pp.37-51
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• 2019

In this paper, we investigate the performance of anomaly factors in Asia-Pacific Stock market and show the higher Sharpe ratio of the volatility managed smart beta portfolio. The smart beta portfolio combines the benefit of passive strategy and active strategy. However, the smart beta portfolios are seems to be exposed to the risk of anomaly factors from the perspective of traditional financial equilibrium model. Therefore, the smart beta strategy may generate negatively skewed returns unappealing to investors having lower risk tolerance. Our empirical investigations find that the return of the Asia-Pacific region stock market is more volatile than other regions with the lower efficiency ratio. However, the value factor and the momentum factor of Asia-Pacific region both show good performances. More interestingly, we also find that managing the volatility of the momentum factor in Asia-Pacific stock market almost doubles the efficiency ratio.

• 경영과정보연구
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• 제34권5호
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• pp.23-47
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• 2015

국내 주식시장 내 개인 투자자들은 주식거래를 장기적인 투자방안보다 단기 매매차익 실현 수단으로 인식하고 있어 시장의 투명성과 건전성을 강화하기 위한 주식 시장관리제도의 역할이 중요하다. 특히, 개인 투자자들은 금융정책에 의한 시장조치로 불확실한 상황에 직면하여 투자환경에 따라 동태적 의사결정에 영향을 받게 되므로 투자자 보호를 위한 시장조치의 실효성 여부를 투자자들의 반응과 행동변화를 통해 접근할 필요가 있다. 본 연구는 시장관리 조치(상장적격성 실질심사) 전후로 개인 투자자 집단의 유형 및 반응의 변화추이를 분석하고자 하였다. 분석을 위해, 상장적격성 실질심사 대상기업 중 텍스트 분석이 가능한 9개의 기업을 선정(2009년~2014년)한 후, 국내 주식 관련 소셜 미디어(종목 토론실)로부터 웹 크롤링을 통해 개인들의 메시지를 수집하였다. 사건 발생에 따른 개인 투자자들의 관심사(토픽)와 변화추이는 텍스트 클러스터링과 토픽모델링 방법을 활용하여 개인 투자자 유형을 투자자와 비투자자 집단으로 분류하여 분석하였다. 분석결과, 특정 주식 종목 내 다양한 이해관계자 형태가 존재하며, 실질심사 대상 선정 전후로 비투자자 유형은 감소하고, 투자자는 시장 참여 유형에 따른 비중변화가 나타나는 현상을 발견하였다. 이러한 결과를 토대로 시장 조치에 따른 주식시장 내 제도의 영향을 시간(사건)경과에 따라 개인 투자자들의 반응변화를 통해 파악한 데 본 연구의 의의가 있다.

• 한국산학기술학회논문지
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• 제16권9호
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• pp.5982-5988
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• 2015

본 연구는 주식의 격언이 주식 투자자의 투자 행동에 영향을 미치는 지에 대한 연구로서 주식 시장에서 오랜 시간 사용되어 온 주식 격언을 투자자들이 알고 있는 지를 확인하고, 주식 투자자가 이러한 내용을 실제 투자 과정에 적용 하는지 그리고 그 적용이 투자 성과에 영향을 미치는 지를 분석하였다. 이를 위하여 본 연구에서는 주식시장에서 활용되고 있고, 주식과련 문헌에 자주 인용되는 투자 원칙, 분산 투자, 종목 선정, 매수 매도 시점 및 주가 동향에 관한 총 29개의 주식 격언을 선정하여 191명의 주식 투자자들에게 설문 조사를 실시하고 그 결과를 분석하였다. 분석 결과 14%의 투자자들이 주식 격언을 적용하여 투자하고 이를 통하여 수익을 창출하는 것을 확인하였다. 본 연구 및 결과를 통하여 주식 시장과 주식 투자자들이 분석된 주식 격언 통계를 활용하여 주식 투자에 적용하여 도움 되기를 기대한다.

• 대한안전경영과학회:학술대회논문집
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• 대한안전경영과학회 2005년도 추계학술대회
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• pp.537-557
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• 2005

The estimate on volatility of stock price is related with optimum of portfolio and Important for allocation of capital asset. If the volatility of stock price is varied according to macroeconomic variables on monetary policy and industrial production, it will assist capital asset to allocate. This paper is related with stock market volatilities on macroeconomic variables in U.S. and Europe, Korea. And, it Is pertain to vary in time of this variables. Thus, this paper is related with volatilities of monetary and physical macroeconomic variables on basis of statistics. And, it is ranged front capital investment to portfolio allocation. Also, this paper takes out of sample forecast and study more after this. In case Germany, France, Italy and the Netherlands, the relative importance of monetary policy and Industrial production Is different from these countries. In case Italy and the Netherlands, monetary policy is primary factor at stabilizing for volatility of stock price. In case Korea, increasing monetary policy and industrial production is positively affected stock market. It is that the positive effect of stock price is caused by mollifying monetary policy and economic growth. Specially, this conclusion is similar to US. In Korea, gradual increase in monetary and industrial production is necessary to stability of stock market. It is different to previous results on basis of increasing stock price of money in long period.

• 한국조리학회지
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• 제23권4호
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• pp.163-174
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• 2017

This study aimed to make stock for purpose of reducing visual image, and the stock was used with two-spotted cricket as general food material of edible insects. According to the results, color value was darkest and brownest with increased boiling time, salinity and $^{\circ}Brix$ increased significantly (p<0.001). With increased boiling time, pH and moisture content was the lowest. In the total content of free amino acids was highest in 45 min with boiling time. The quantitative descriptive analysis of two-spotted cricket stock was evaluated, which was the strongest with increased boiling time, and acceptance test was best results in TCS45. Therefore, it was possible to produce stock with excellent sensuality which was used by high-pressure method for 45 in making a two-spotted cricket stock. It was judged that making insects food can reduce visual aversion as stock. So, the possibility of food ingredient was identified so that two-spotted cricket led to the increase of domestic interests.

• The Journal of Asian Finance, Economics and Business
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• 제8권8호
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• pp.399-407
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• 2021

Stock movement is difficult to predict because it has dynamic characteristics and is influenced by many factors. Even so, there are some approaches to predict stock price movements, namely technical analysis, fundamental analysis, and sentiment analysis. Many researches have tried to predict stock price movement by utilizing these analysis techniques. However, the results obtained are varied and inconsistent depending on the variables and object used. This is because stock price movement is influenced by a variety of factors, and it is likely that those studies did not cover all of them. One of which is that no research considers the use of fundamental analysis in terms of currency exchange rates and the use of foreign stock price index movement related to the technical analysis. This research aims to predict stock price movements in Indonesia based on sentiment analysis, technical analysis, and fundamental analysis using Support Vector Machine. The result obtained has a prediction accuracy rate of 65,33% on an average. The inclusion of currency exchange rate and foreign stock price index movement as a predictor in this research which can increase average prediction accuracy rate by 11.78% compared to the prediction without using these two variables which only results in average prediction accuracy rate of 53.55%.

• The Journal of Asian Finance, Economics and Business
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• 제9권9호
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• pp.351-360
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• 2022

This study aims to determine the factors that can influence investors in selecting stocks in the Indonesian capital market to establish an optimal portfolio, and find phenomena that occurred during the COVID-19 pandemic so that buying interest / the number of investors increased in the Indonesian capital market. This study collection technique uses primary data obtained from the survey questionnaire and secondary data which is market data, stock price movement data sourced from the Indonesia Stock Exchange, Indonesian Central Securities Depository, and Bank Indonesia, as well as empirical literature on behavior finance, investment decision, and interest in buying stock. The method used in this research is the survey questionnaire analysis with the SEM (statistical approach). The results of the analysis using SEM show that investor behavior influences the stock-buying interest, investor behavior, and the stock-buying interest influences investor decision-making. However, risk management does not influence investor-decision making. This occurs when the investigator's psychological capacity produces more decision information by decreasing all potential biases, allowing the best stock selection model to be selected. When the investigator's psychological capacity creates more decision information by reducing biases, the optimum stock selection model can be chosen.