• 자원환경지질
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• 제56권4호
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• pp.447-456
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• 2023

2000년 이후에도 유가상승은 과거에 비견될 수 있을 만큼 상승하였으나 경제성장, 소비 등 경제변수들에 미치는 영향은 상대적으로 안정적인 모습을 보였다. 이에 본 연구는 우리 경제에 구조변화가 있었던 1998년 외환위기 시점을 기준으로 유가에 대한 우리 경제의 반응이 변화하였음을 실증적으로 보이고자 한다. 실증분석을 통해 1998년을 기준으로 전후 기간에 대해 유가 및 생산자물가가 소비자물가에 미치는 영향이 변화하였음을 확인하였고, 이어 산업부문별 부가가치율에 생산자물가가 미치는 영향도 변화하였음을 확인하였다. 이는 생산비용 상승의 소비자 가격에 전가가 완화되었으며 부가가치에도 영향이 완화되었음을 의미한다. 실증분석 결과의 원인에 대해서는 생산자물가와 소비자물가 간의 관계변화 및 그 원인, 유가상승에 따른 산업부문의 요소투입 및 생산품 변화 등 다양한 접근의 연구가 수행되어야 할 것이다.

• 산학경영연구
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• 제20권2호
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• pp.1-13
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• 2007

The purpose of this study is to investigate a simple present value model Involving earnings (i.e., the earnings discount model) that presumes a relationship between stock prices and earnings. The model suggests a simple linear equilibrium relationship between stock prices and earnings. The tests for cointegration render strong support for the cointegration hypothesis between stock prices (Pt) and earnings (Xt) even at the one-percent significance level. The tests are based on residuals from a cointegrating regression of Pt on Pt+l + Xt. This suggests that there is a stable long-nu equilibrium relationship between stock prices and earnings. The results of the tests lead to the acceptance of the present value model of stock prices involving earnings.

• 한국경영과학회지
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• 제38권2호
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• pp.95-115
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• 2013

In traditional inventory models, purchase prices of raw materials are assumed to be fixed and have no effect on the optimal choice of inventory policies. However, when purchase prices fluctuate continuously over time, inventory costs are heavily affected by purchasing prices. Risk-averse inventory model decides order quantity and ordering time by considering not just purchase prices but also the risk from the discrepancy between estimated prices and realized prices. In this paper, we propose a myopic inventory policy which incorporates price risk into deciding ordering time and quantities. While the existing risk-averse model has no mechanism to reallocate inventories already purchased for a specific future period, the revised one reallocates initial inventories of each period to other future periods so that it can avoid purchasing raw materials at high prices. Experimental results demonstrate that the revised model outperforms the existing one in respect of total cost and variability.

• 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.

• 응용통계연구
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• 제12권2호
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• pp.387-387
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• 1999

The traditional holiday, Sol which is based on a lunar calendar, falls in January orFebruary and makes it difficult to analyze time series data accurately. To analyze whetherSol raises consumer prices or not, RegARIMA models and paired t tests are used. It isfound that Sol raises consumer prices of food products significantly, but So1's effects onconsumer prices of all items are not significant.

• 문화기술의 융합
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• 제8권4호
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• pp.83-89
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• 2022

본 연구는 은행 대출이 주택가격에 미치는 영향을 분석하였으며, 은행 대출을 은행 총대출금, 가계대출금, 부동산담보대출금으로 구분하였고, 주택가격을 전국, 지방, 서울 주택가격으로 구분하여 분석하였다. 주요한 분석 결과는 다음과 같다. 첫째, 은행 총대출금의 증가는 전국, 지방, 서울 주택가격을 유의하게 상승시키는 것으로 나타났다. 둘째, 가계대출금은 지방 주택가격에 양(+)의 영향을 미치지만 통계적으로 유의하지는 않은 것으로 나타났다. 그리고 은행 대출이 지방 주택가격에 미치는 영향은 전국 주택가격에 미치는 영향에 비해서는 상대적으로 작은 것으로 나타났다. 셋째, 은행 대출이 지방 주택가격과 서울 주택가격에 미치는 영향은 차이가 있는 것으로 나타났다. 넷째, 인플레이션과 은행 총대출은 1분기의 시차를 가지고 지방 주택가격에 유의한 양(+)의 영향을 미쳤으며, 단기금리는 1분기의 시차를 가지고 서울 주택가격에 유의한 음(-)의 영향을 미쳤다. 전체적으로는 은행 대출이 주택가격에 미치는 영향이 지방보다는 서울에 약 2배 정도 더 큰 양(+)의 영향을 미치는 것으로 나타났다.

• The Journal of Asian Finance, Economics and Business
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• 제7권12호
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• pp.123-129
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• 2020

This scholarly work is an effort to capture the effects of oil prices on the actual exchange rate between dollar and rupee. This is done with reference to the U.S. dollar as oil prices are marked in USD (U.S. Dollar) in the international market, and India is among the top five importers of oil. Using monthly data from January 2001 to May 2020. The study used the real GDP, money supply, short-term interest rate difference between two countries, and inflation apart from the crude oil prices per barrel as the factors that help define the exchange rate. The analysis, through cointegration and vector error correction method (VECM), suggests long and short-run causality amid prices of oil and the rate of exchange fluctuations. Oil prices are found to be negatively related to the exchange rate in the long term but positively related in the short term. The result of the Wald test also indicates the short-run causation from the short-term interest rate and the prices of crude oil towards the exchange rate. The present study shows that oil prices are evidence of the existence of short-term and long-term driving associations with short-term interest rates and exchange rates.

• The Journal of Asian Finance, Economics and Business
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• 제7권9호
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• pp.201-208
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• 2020

Terms of trade is an important indicator of the welfare gains from international trade to the exporting country. Terms of trade of oil-exporting countries are hypothesized to depend primarily on oil prices. The study assesses the relation between oil prices and the terms of trade of Saudi Arabia. The study uses the Autoregressive Distributed Lag method to determine the cointegration between the country's terms of trade and oil prices for the period 2000-2018. The data for net barter terms of trade is taken from World Development Indicators and oil price is taken from Saudi Arabian Monetary Agency. The results show that oil prices and terms of trade are cointegrated and any disequilibrium between the two variables is corrected by 35% in a year. The study also reports a positive relationship between the two items, both in the short run and long run. Diagnostic tests indicate the model to be fit. The results suggest that, for a primarily oil-producing country like Saudi Arabia, the terms of trade depend on oil prices. The study fills the gap in the literature on the study of terms of trade for Saudi Arabia for the last few years, where there has been a high volatility in oil prices.

• Asia Pacific Journal of Business Review
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• 제1권1호
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• pp.1-22
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• 2016

The prediction of prices of agricultural products in the agriculture IT sector plays a significant role in the economic life of consumers and anyone engaged in agricultural business, and as these prices fluctuate more often than do other prices, the prediction of these prices holds a great deal of research promise. For this reason, academic literature has provided studies on the factors influencing the prices of agricultural products and the price index. However, as these factors vary, they are difficult to predict, resulting in the challenge of acquiring quantitative data. China is one example of a country without a reliable prediction system for prices of agricultural products. Fortunately, disclosed heterogeneous data can be found on the Internet, which allows for the effective collection of factors related to the prediction of these product prices through the use of text mining. The data provided online is valuable in that they reflect the opinions of the general public in real-time. Accordingly, this study aims to use heterogeneous data from the Internet and suggest a model predicting the prices of agricultural products before functional analyses. Toward this end, data analyses were conducted on the Chinese agricultural products market, one of the largest markets in the world.

• The Journal of Asian Finance, Economics and Business
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• 제7권10호
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• pp.23-34
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• 2020

The paper revisits the author's previous paper to examine short-run and long-run dynamic relationships between macroeconomic variables and stock prices in Korea. The data is updated to the period for which monthly data are available from January 1986 to June 2018 (390 observations) retrieved from the Bank of Korea. The results of Johansen cointegration test indicate that at least one cointegrating equation exists, confirming there is a long-run equilibrium relationship between macroeconomic variables and stock prices in Korea. The results of vector error correction estimates confirm that: 1) the coefficient of the error correction term is significant with a negative sign, which is, a long-run dynamic relationship is observed between macroeconomic variables and stock prices; 2) for short-run dynamics, the nominal exchange rate of the Korean won per the US dollar is positively related to stock prices, while interest rates are negatively related to stock prices in the short-run; 3) the coefficient of global financial crises is insignificant, that is, the changes of stock prices are determined largely by their own dynamics in the model. The results suggest only that the global financial crises neither cause instability in the cointegrating vector, nor affect significant changes in the endogenous variables in the model.