• 유통과학연구
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• 제17권1호
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• pp.11-19
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• 2019

Purpose - We document the impact of economic policy uncertainty (EPU) in the US and China on the dynamic spillover effect of macroeconomics such as stock price, housing price in Korea. Research design, data, and methodology - We use the nine variables to analyze the effect which produces a result among the EPU indexes of the US and China on economic variables which is the consumer price index (CPI), housing purchase price composite index, housing lease price, the stock price index in banking industry, construction industry and distribution industry, and composite leading indicator from January 1995 to December 2016 with the Vector Error Correction Model. Result - The US EPU index has significantly a negative relation on the CPI, housing purchase price index, housing lease price index, the stock price index in banking industry, construction industry, and distribution industry in Korea. Conclusions - We find the dynamic effect of the EPU indexes in the US and China on the macroeconomics returns in Korea. This study has an empirical evidence that the economy market in Korea is influenced by the EPU index of the US rather than it of China. The higher EPU, the more risky the economy of in Korea.

• 한국의류학회지
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• 제43권1호
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• pp.154-166
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• 2019

Consumers believe it is more profitable to buy products at a discount price than at a fixed price. However, consumers who miss an opportunity for a discount would experience regret; consequently, they may also forgo a purchase despite experiencing regret if a subsequent opportunity was no more attractive than the initial one. This phenomenon has been conceptualized as inaction inertia. In this study we investigate if consumers showed behavior of inaction inertia under the situation of fashion products purchase as well as if price and involvement had a moderating effect on product purchase. The following are the results of the research based on an empirical investigation. First, according to the results of influence of inaction inertia on purchase intention, respondents exposed to scenario of experiencing similar price discount in the past, both under high-price situations and low-price situations, made statistically fewer responses than those exposed to situations without such experience; therefore, effect of inaction inertia could be confirmed. Second, the moderating effect of product price on relationships between inaction inertia and purchase intention was not statistically significant.

• The Journal of Asian Finance, Economics and Business
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• 제8권2호
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• pp.165-173
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• 2021

This study examined the effect of Debt Equity Ratio (DER), Net Profit Margin (NPM), and Size on stock prices with company performance as measured by Return on Assets (ROA) as a mediating variable. The sample used is 136 manufacturing companies listed on the Indonesia Stock Exchange (IDX) in the 2014-2018 period. This research was tested using a Warp PLS statistical test tool to prove the proposed hypothesis. The results showed that DER has a significant negative effect on ROA and a significant positive effect on Stock Price. NPM has a significant positive effect on ROA as well as a significant positive effect on Stock Price. While Size has a significant positive effect on ROA but has no effect on Stock Price. ROA has a significant positive effect on Stock Price. ROA does not act as a mediating variable in the relationship between Size and Stock Price; however, ROA acts as a mediating variable in the DER and Stock Price relationship, as well as, in the relationship between NPM and Stock Price. The implications of the results of this study can be used by investors in making investment decisions, paying attention to the company's financial aspects, namely DER, NPM, Size, and ROA.

• 대한임베디드공학회논문지
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• 제17권1호
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• pp.51-58
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• 2022

Various studies have been conducted from the past to the present because stock price forecasts provide stability in the national economy and huge profits to investors. Recently, there have been many studies that suggest stock price prediction models using various input data such as macroeconomic indicators and emotional analysis. However, since each study was conducted individually, it is difficult to objectively compare each method, and studies on their impact on stock price prediction are still insufficient. In this paper, the effect of input data currently mainly used on the stock price is evaluated through the predicted value of the deep learning model and the error rate of the actual stock price. In addition, unlike most papers in emotional analysis, emotional analysis using the news body was conducted, and a method of supplementing the results of each emotional analysis is proposed through three emotional analysis models. Through experiments predicting Microsoft's revised closing price, the results of emotional analysis were found to be the most important factor in stock price prediction. Especially, when all of input data is used, error rate of ensembled sentiment analysis model is reduced by 58% compared to the baseline.

• 한국경영과학회지
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• 제10권1호
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• pp.31-40
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• 1985

When an economy has institutional price constraints the relationship between market prices and shadow prices is not yet fully investigated. A pure consumption economy is considered where market prices guide the consumption behavior and shadow prices measure the social value of resources. In this case we show that if the utility function is additively separable there exists a complementarity relation between the difference of the market price and the shadow price and the difference of the market price and the regulated upper (or lower) bound.

• 한국경영과학회지
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• 제9권2호
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• pp.9-14
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• 1984

The competitive bidding model with the reserve price has been studied by Riley and Samuelson. We extend their studies to the competitive model with the reserve price and the entry fee. First we present the bidder's optimal strategy, the winner's expected profit, the auctioner's expected revenue in the first-price sealed bidding model, and next those in the second-price sealed bidding model.

• 한국국방경영분석학회지
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• 제28권1호
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• pp.67-82
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• 2002

In this paper, we consider a rule of application of PRICE(Parametric Review of Information for Costing and Evaluation) model to the environment of Korean defense industry. The PRICE model which is a computer model to estimate the cost of an acquisition program, was developed for the regulation of defense acquisition program in the United States. Therefore, it is essential for us to figure out how we can adopt it under our defense acquisition regulations. We will give an alternative method to apply the PRICE model to the mapping problem between two regulations.

• 한국지능시스템학회논문지
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• 제16권2호
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• pp.247-251
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• 2006

In this paper, we define an interval-valued Choquet price functional which is a useful tool as the price of an insurance contract with ambiguity payoffs and investigate some characterizations of them. Moreover, we show that the insurance price with ambiguity payoffs has an interval-valued Choquet integral representation with respect to a capacity.

• 수산경영론집
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• 제40권1호
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• pp.27-49
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• 2009

Recently, the Korea's economy concerns the second money crisis because of the rapid increase of the exchange rate. The Korea's economy which is very dependent on the foreign trade is more sensitive to the change of exchange rates. There are many literatures which analyze the effects of variations of the exchange rates on the secondary and tertiary industries such as the manufacturing industry and IT(Information Technology). But there have been no studies which try to figure out the effects of variations of exchange rate on the primary industries, especially, fisheries' industry. Therefore this paper tries to analyze the effect of price competition structure and the change of exchange rate on foreign fisheries exporting prices in Korea's fisheries import market. This study utilizes OLS(Ordinary Least Squares Analysis) for the analysis in the market of frozen yellow corvina, hairtail, angler fish which are major fisheries importable in Korea. The results show that the exporting country which has the highest market share is more sensitive to the change of the exchange rates itself than that of the other exporting countries' price when it starts to set up its exporting price. And the exporting countries which have low market share are more sensitive to the change of price which country has the highest market share than that of price whose countries have low market share and those of their exchange rate. Also we can find out that the countries which have similar market share try to set up price-setting strategy in the opposite direction. In other words, one country tries to bid up its price, other countries response to rival country by lowering their prices. In the consideration of the fact that most exporting countries aren't affected by Korea's fisheries' prices, the exporting countries in Korea's fisheries import market are more sensitive to the prices of other exporting countries than that of Korea's. This result indicates that the price leader-follower model could be applicable to the Korea's fisheries import market.

• 디지털융복합연구
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• 제11권2호
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• pp.175-182
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• 2013

본 연구에서는 주택 수요와 공급의 상호영향관계 메커니즘을 이용하여 가격 시뮬레이션 모형을 개발하였다. 가격 시뮬레이션 모형의 핵심 알고리즘은 피드백 제어 이론을 이용한 시스템 다이나믹스 기반의 스톡 플로우 변수이며, 이러한 원리를 이용하여 서울지역 아파트 가격변화 행태를 모델링하였다. 가격 행태를 결정하는 피드백 메커니즘은 중장기 경기변동 시나리오 하에 대출 이자율을 정책변수로 아파트 매매 수요자와 공급자 규모를 스톡 변수로 설정하고, 이들 간의 상호 영향관계를 검증하였다. 본 논문을 통하여 향후 아파트 가격 추이는 아파트 매매 수요자와 공급자 규모의 행태 변화와 수요자와 공급자가 갖는 가격에 대한 반응 매개변수간의 영향관계로 구성된다. 또한 향후 경기 전망 및 대출이자율 등 거시경제의 상황에 따라 아파트 매매가격은 변화함을 알 수 있었다. 제시된 아파트 매매 가격 시뮬레이션 계량모델은 양도세 및 취득세 감면 등 비 금융 관련 부동산정책변수와 대출이자 조정 등 금융 관련 정책변수의 보다 정확하고 충분한 데이터를 적용하면 실무 적용과 정부 주택정책입안에 활용 할 수 있을 것으로 판단된다.