• Title/Summary/Keyword: Price determination

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A Study on Compensation of Land according to the Spatial Properties -In case Compensation of Public Housing District- (공간정보 속성에 따른 토지보상액 결정에 관한 연구 -공공주택지구 보상사례를 중심으로-)

  • Moon, Jae-Hyeok;Lee, Myeong-Hun
    • The Journal of the Korea Contents Association
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    • v.16 no.11
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    • pp.188-198
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    • 2016
  • In order to supply the residential land for the promotion of public welfare, it must take a land of city suburb. That land have the difference in thinking is large for the determination of land prices to a variety of development pressure and land use regulations. In the process of executing a public project, the difference of these ideas has become a cause of conflict. Therefore, through objective study for the determination of land prices, to reduce the difference of ideas is going to be a clue of conflict resolution. This study selected the case area that is typical public district of many conflict, and then fix a compensation unit price like fair price as dependent variable. The selected variables through previous studies and expert consultation was an independent variable. To analyze the impact factors of land prices in the hedonic price model. The results were analyzed by distinguishing the group on the basis of the zoning and using, whether or not the site of the building in part that there is influence variable, the aspects of accessibility and regulation in part degree of influence variable came out different results for each group. It is analyzed that it reasonable results. Add selected site assimilation of the building that have not been presented in previous studies as a variable and which was applied at a rate to a variable of road have improved in more expliction of the influence of variables.

An Analysis on the pass-through of Korean export prices of Exchange rate changes (글로벌 금융위기 이후 환률변동과 수출가격)

  • Choi, Chang-Yeoul;Ham, Hyung-Bum
    • International Commerce and Information Review
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    • v.13 no.4
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    • pp.229-249
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    • 2011
  • The exchange rate change has been increased since the time when the floating exchange rate system was introduced in Korea. As a result, the increase of the exchange rate changes raised the risk in international trades in Korea. Also after Bretton Woods System broke down, the increasing exchange rate fluctuation raised the risk in international trade. The purpose of this dissertation is to study whether this incomplete pass-through exists in Korean export industry and furthermore to measure the markup rate of the export price using real data since Global Financial Crisis. The estimation results of the export price determination model by Error Correction Model shows that the export price of Korea has been greatly influenced by the export prices and exchange rates against U.S. Dollar of rival countries, domestic producer price as well as the Korean Won-U.S. Dollar exchange rate and also business coincidence index of U.S. in demand. Particularly, the pass-through rate of Korean Won-U.S. Dollar exchange rate to export price is estimated to be incomplete, which contrasts with the propositions of traditional exchange rate determination approach, e. g. elasticity approach, monetary approach, etc.

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An Analysis on Determination for Competitiveness of Export Marketing in Korea Exporting Companies (한국수출업체의 수출마케팅 경쟁력 결정요인 분석)

  • Chung, Chang-Kun;Choi, Hyuk-Jun
    • International Commerce and Information Review
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    • v.11 no.3
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    • pp.217-237
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    • 2009
  • The purpose of this study is to measure importance and performance levels of marketing 4P components of exporting companies, to compare & analyze domestic and foreign exporters' levels and to establish marketing 4P strategies with maintaining some components, improving some marketing activities and reducing activities to enhance korean exporters' competitiveness. Korean exporters' performance is better than foreigners' in product quality, inquiry and order processing of product, product adoptions. And foreigners' performance is better than koreans' in lower price, price adoption, various ways of payments, discount prices.

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A Study on the Assessment of Reasonable Reserve Margin in Basic Plan of Electricity Supply and Demand (전력수급기본계획의 적정 설비예비율 산정 개선방안)

  • Kim, C.S.;Rhee, C.H.
    • Proceedings of the KIEE Conference
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    • 2006.07a
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    • pp.418-419
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    • 2006
  • After electricity power industry restructuring, "Long term power development plan", setting up by government, is replaced by "Basic plan of electricity supply and demand". In this basic plan, one of the most important factors is assessment of appropriate capacity margin. The benefit of GENCO is decided by the market price, and the price is largely affected by the level of reserve margin. As a consequence, appropriate reserve margin is determined by market power. However, Cost Based Pool(CBP) is a limited competitive market, and government policy for supply and demand is very important factor or reserve margin determination. This paper points out issues about existing reserve margin assessment method which is used in basic plan and suggests improved assessment method. In the case study, capacity margin is calculated by proposed assessment method and result shows the advantages of suggested method.

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A study on Determination of the Optimum Farm size based on Shadow Price of Rice (잠재가격에 의한 수도작 적정 영농규모 결정에 관한 연구)

  • Park, Jae Keun;Lim, Jae Hwan
    • Korean Journal of Agricultural Science
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    • v.32 no.2
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    • pp.127-150
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    • 2005
  • Under the WTO system, the farm size expansion or the existing korean agricultural structure should be improved to cope with farm income decrease and to continue rice cultivation for food security in the future. This study is aimed at identifying optimum farm size under trade liberalization and import and export parity price system of inputs and outputs. The optimum farm size expressed the minimum point of long run average cost is determined as 15.1ha. The farm size to be equalized as urban laborer's income of 37,361 thousand won per year was revealed 30ha. Therefore the G't recommended farm size of 6ha should be changed to 30ha and the concerned policies for agricultural structure improvement also should be changed to more flexibilitiy.

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A Similar Price Zone Determination of Public Land Price Using K-means Clustering Technique (K-평균 군집화 기법을 이용한 공시지가 유사가격권의 설정)

  • 이성규;홍성언;박수홍
    • Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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    • 2004.03a
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    • pp.367-372
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    • 2004
  • 비교표준지를 이용하여 개별공시지가를 산정하는 우리나라 제도 하에서 가장 중요한 문제는 개별필지 주변의 표준지 중에서 어떤 표준지를 선택ㆍ이용하여 지가를 산정해야 하는가이다. 그러나 지침상에서는 비교표준지 선정시 중요 요인으로 작용하고 있는 유사가격권에 대하여 수치적인 기준이 아닌 모호한 개념상으로 규정하고 있어 비교표준지 선정에 있어 부정확성을 초래하고 있다. 따라서, 본 연구에서는 객관적인 기준과 수치적인 기준의 부재로 많은 문제점을 발생시키고 있는 유사가격권 설정의 문제를 해결하고자 K-평균 군집화 기법을 활용하여 가격권을 설정하고 이에 대한 타당성을 제시하고자 한다.

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Expiration Day Effects in Korean Stock Market: Wag the Dog? (한국 주식시장에서의 만기일효과: Wag the Dog?)

  • Park, Chang-Gyun;Lim, Kyung-Mook
    • KDI Journal of Economic Policy
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    • v.25 no.2
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    • pp.137-170
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    • 2003
  • Despite the great success of the derivatives market, several concerns were expressed regarding the additional volatilitystemming from program trading during the expiration of derivatives. This paper examines the impact of the expiration of the KOSPI 200 index derivatives on cash market of Korea Stock Exchange(KSE). The KOSPI 200 index derivatives market has a unique settlement price determination process. The settlement price for the expiration of derivatives is determined by call auction during the last 10 minutes after the trades for matured derivatives are finalized. We analyze typical expiration day effects such as price, volatility, and volume effects. With high frequency data, we find that there are strong expiration day effects in the KSE and try to interpret the results with the unique settlement procedures of the KOSPI 200 cash and derivatives markets.

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Stock Price Prediction and Portfolio Selection Using Artificial Intelligence

  • Sandeep Patalay;Madhusudhan Rao Bandlamudi
    • Asia pacific journal of information systems
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    • v.30 no.1
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    • pp.31-52
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    • 2020
  • Stock markets are popular investment avenues to people who plan to receive premium returns compared to other financial instruments, but they are highly volatile and risky due to the complex financial dynamics and poor understanding of the market forces involved in the price determination. A system that can forecast, predict the stock prices and automatically create a portfolio of top performing stocks is of great value to individual investors who do not have sufficient knowledge to understand the complex dynamics involved in evaluating and predicting stock prices. In this paper the authors propose a Stock prediction, Portfolio Generation and Selection model based on Machine learning algorithms, Artificial neural networks (ANNs) are used for stock price prediction, Mathematical and Statistical techniques are used for Portfolio generation and Un-Supervised Machine learning based on K-Means Clustering algorithms are used for Portfolio Evaluation and Selection which take in to account the Portfolio Return and Risk in to consideration. The model presented here is limited to predicting stock prices on a long term basis as the inputs to the model are based on fundamental attributes and intrinsic value of the stock. The results of this study are quite encouraging as the stock prediction models are able predict stock prices at least a financial quarter in advance with an accuracy of around 90 percent and the portfolio selection classifiers are giving returns in excess of average market returns.

A Study on Stock Trend Determination in Stock Trend Prediction

  • Lim, Chungsoo
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.12
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    • pp.35-44
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    • 2020
  • In this study, we analyze how stock trend determination affects trend prediction accuracy. In stock markets, successful investment requires accurate stock price trend prediction. Therefore, a volume of research has been conducted to improve the trend prediction accuracy. For example, information extracted from SNS (social networking service) and news articles by text mining algorithms is used to enhance the prediction accuracy. Moreover, various machine learning algorithms have been utilized. However, stock trend determination has not been properly analyzed, and conventionally used methods have been employed repeatedly. For this reason, we formulate the trend determination as a moving average-based procedure and analyze its impact on stock trend prediction accuracy. The analysis reveals that trend determination makes prediction accuracy vary as much as 47% and that prediction accuracy is proportional to and inversely proportional to reference window size and target window size, respectively.

A Study on Success Factors of Coastal Fisheries in Busan Region (부산시 연안 어선어업 경영체의 성공요인에 관한 연구)

  • KWON, Hyeok-Seung;SONG, Jung-Hun
    • The Journal of Fisheries Business Administration
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    • v.46 no.2
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    • pp.1-11
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    • 2015
  • Due to the environmental changes such as decreasing and aging fishing population and increasing imported marine products, improvement of fishing business competitiveness has become one of important issues. This study aimed to analyze the coastal fishing business units in Busan region and compare their business performances in order to find out success factors. The logistic regression analysis between 4 determination factors of competitiveness and business performances showed that the ship tonnage in the factor conditions, catch of species of fishing types'kg per price in the demand conditions, cooperative sales ratio in the related & supporting industries, and net per cost in the firm strategy, and structure & rivalry had the positive(+) impacts on business performances.