• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.4
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• pp.2526-2531
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• 2014

This paper has analyzed the effects of CEO turnover and other fundamental variables on stock returns. Therefore, the major purpose of this study is to analyze CEO turnover having a systematical effect on the stock return. The paper uses panel data analysis. We find that the results of regressions say that CEO turnover, book-to-market ratio, earning-to-price ratio, cash flow-to-price ratio, and firm size can explain the differences in average returns across stocks.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.3
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• pp.1035-1041
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• 2012

This paper examines the effects of fundamental variables on stock returns. Therefore, the major purpose of this study is to identify fundamental variables having a systematical effect on the stock return. The paper uses panel data analysis. We find that the results of regressions say that firm size, book-to-market ratio(B/M), earning-to-price ratio(E/P), cash flow-to-price ratio(C/P) can explain the differences in average returns across stocks.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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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.

• Journal of the Korean Geographical Society
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• v.49 no.5
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• pp.690-704
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• 2014

Single family houses are the traditional & typical type of house in human history. But there had been little attention to single family houses in Korea so that there was little studies on single family houses. This study aimed to analyse price determinants of single family houses in Seoul, using Quantile Regression Analysis(QRA). Because single family houses has large levels of price, quantile regression analysis is more proper than Ordinary Least Square(OLS). The Results of analysis showed that, land coverage ratio, zoning, passed years, basement floor, hight of land, shape of land were important factors to single family houses price. The scale of effect of land coverage ratio to single family houses price was different to price levels of single family houses. And basement floor affected more negative effects to middle price, location and zoning had positive effects to high price single family houses. The degree of influence of determinants of single family houses price was deferent by region, KangBuk and KangNam. In KangNam, land coverage ratio and accessibilities were more important in low price single family houses, green zone and more far way is affected positive effects on single family houses price. In Kangbuk, land coverage ratio affects similar effects on single family houses price.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.7
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• pp.2930-2936
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• 2012

This paper examines the effects of corporate ownership structure variables on stock returns. The dependent variables identified in this paper include the equity ratio of large shareholders, institutional investors and foreign investors, and the control variables are firm size, book-to-market ratio, and earning-to-price ratio and leverage. This paper finds that the results of regressions say that institutional investors and foreign investors, firm size, book-to-market ratio and earning-to-price ratio can explain the differences in stock returns using panel data.

• Journal of the Korean housing association
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• v.21 no.6
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• pp.81-90
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• 2010

The existing most studies on the apartment sales prices have been limited to relatively small size apartment complexes and have not categorized the apartment complexes based on the number of households. Some of them uses the apartment-related indices such as regional value estimates, sales unit price, and view right values. In the case of Seoul Metropolitan Area, the size of apartment complex has been growing to the level of large complex over more than 1,000 households through new town development, redevelopment and reconstruction. People prefers to choose a large scale complex instead of small complex based on their perception that a large scale apartment complex provides more conveniences in living. The result of this analysis revealed that the variables chosen as important determinants of the hedonic price model for large scale apartment complexes were square meters of apartment unit, rent/price ratio, number of bays, distance to the nearest subway station, and heating system method. This means that the sales price of apartment unit will be higher as the square meters of apartment unit increase, as the rent/price ratio decreases, as the distance to the nearest subway station increases, and as the number of bays increase.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.6
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• pp.1171-1176
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• 2023

In this paper, we predicts the estimated price using the DNBP (Deep learning Network to predict Budget Price) model with bidding data obtained from the bidding websites, ElecNet and OK EMS. We use the DNBP model to predict four lottery preliminary price, calculate their arithmetic mean, and then estimate the expected budget price ratio. We evaluate the model's performance by comparing it with the actual expected budget price ratio. We train the DNBP model by removing some of the 15 input nodes. The prediction results showed the lowest RMSE of 0.75788% when the model had 6 input nodes (a, g, h, i, j, k).

• Journal of Korean Society of Forest Science
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• v.101 no.1
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• pp.46-52
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• 2012

The purpose of this study is to give ROI informations about management status and investment returns to someone who will newly cultivate lycium chinese miller or expand area of its cultivation. In this study, IRR, B/C Ratio and NPV is used for ROI analysis. We basically surveyed fifty two among Lycium Chinese Miller cultivation farmhouses in chief producing districts Chungnam Chungyang, Jeonnam Jindo in Korea from May until September in 2009. Hence, this study surveyed these farmers about production cost, management cost, input labors and materials, land price and etc. by working process to calculate production and operation cost. As the result of farm survey, average selling price of Lycium Chinese Miller is 15,000 won per kg at locals for five years. However, when 3% discount rate is applied, the result of the analysis is B/C Ratios 0.89, which shows unprofitable. Therefore, it is a possible baseline that price of Lycium Chinese Miller is at least 16,800 won per kg with 3.00% IRR and B/C Ratio is 1.00. It could be profitable with about 21.75% income ratio when price of Lycium Chinese Miller is 16,800 won per kg.

• Current Photovoltaic Research
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• v.11 no.4
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• pp.134-143
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• 2023

Efforts are being made to respond to global warming. Interest in and demand for the private sector-led RE100 campaign is also increasing. Self-built solar power generation, one of the implementation tools for RE100, is not expanding. However, it can be an economical means of implementation in the long run. In this study, we intend to analyze the impact on the optimal ratio of self-solar power generation using HOMER simulation. OPR defines the optimal solar power generation ratio and looks into what changes there are in the optimal solar power ratio when self-power consumption increases and external power purchase price changes. As a result, the optimal rate of self-solar power generation has a low impact even if self-power consumption increases. As the external power unit price increases, the optimal ratio increases, and at a power unit price of 100 KRW/kWh, OPR is 24%; at 200 KRW/kWh OPR is 31%; and at 300 KRW/kWh OPR is 34%. This shows that the electricity price replaced during the life cycle has a high impact on the economic feasibility of solar power generation. However, when the external power unit price reached a certain level, the increase in OPR decreased. This shows that it is difficult for domestic companies to achieve RE100 based on the economic feasibility of solar energy alone. Therefore, efforts are needed to supply renewable energy in the public sector.

• Culinary science and hospitality research
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• v.23 no.2
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• pp.126-134
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• 2017

The purpose of this paper was to examine the dynamics of the price discovery function between lean hog futures and spot markets using the vector error correction model (VECM). The researcher also investigated the existence of the long-run equilibrium relationship between the lean hog futures and spot markets. Daily time series data of lean hog futures and spot observed in the Korean market during the period from 5 Jan. 2011 to 28 Dec. 2012 were analyzed. To examine the price discovery, this study employed the Gonzalo and Granger's (1995) information ratio and Hasbrock's (1995) information ratio measurement method. The significant findings of the study are summarized as follows. First, lean hog futures and spot market are significantly correlated. Secondly, the lean hog future market plays a more dominant role in price discovery than the spot market. Finally, price discovery measures based on the VECM suggested that the lean hog future market plays a more dominant role in price discovery than the lean hog spot market. This is the important systematic empirical work to find the relationship between the lean hog future and spot market.