• Journal of the Korean Data and Information Science Society
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• v.22 no.3
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• pp.401-412
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• 2011

This study uses a vector error correction model to analyze the daily time series data of the spot price of EUA (European Union Allowance). As endogenous variables, five variables are considered for the analysis, including prices of crude oil, natural gas, electricity and coal in addition to carbon price. Data period is Phase 2 period (April 21, 2008 to March 31, 2010) to avoid Phase 1 period (2005-2007) where the EUA prices were distorted. Unit-root and cointegration test results reveal that all variables have a unit root and cointegration vectors exist, so a vector error correction model is adopted instead of a vector autoregressive model.

• Journal of Korean Institute of Industrial Engineers
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• v.39 no.1
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• pp.30-45
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• 2013

Predicting monthly electricity price has been a significant factor of decision-making for plant resource management, fuel purchase plan, plans to plant, operating plan budget, and so on. In this paper, we propose a sophisticated prediction model in terms of the technique of modeling and the variety of the collected variables. The proposed model hybridizes the semi-supervised learning and the artificial neural network algorithms. The former is the most recent and a spotlighted algorithm in data mining and machine learning fields, and the latter is known as one of the well-established algorithms in the fields. Diverse economic/financial indexes such as the crude oil prices, LNG prices, exchange rates, composite indexes of representative global stock markets, etc. are collected and used for the semi-supervised learning which predicts the up-down movement of the price. Whereas various climatic indexes such as temperature, rainfall, sunlight, air pressure, etc, are used for the artificial neural network which predicts the real-values of the price. The resulting values are hybridized in the proposed model. The excellency of the model was empirically verified with the monthly data of electricity price provided by the Korea Energy Economics Institute.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.8
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• pp.297-309
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• 2021

In this study, to capture the skewness and kurtosis detected in both conditional and unconditional return distributions of the stock markets of Kazakhstan and Russia, two versions of normal mixture GARCH models are employed. The data set consists of daily observations of the Kazakhstan and Russia stock prices, and world crude oil price, covering the period from 1 June 2006 through 1 March 2021. From the empirical results, incorporating the long memory effect on the returns not only provides better descriptions of dynamic behaviors of the stock market prices but also plays a significant role in improving a better understanding of the return dynamics. In addition, normal mixture models for time-varying volatility provide a better fit to the conditional densities than the usual GARCH specifications and has an important advantage that the conditional higher moments are time-varying. This implies that the volatility skews implied by normal mixture models are more likely to exhibit the features of risk and the direction of the information flow is regime-dependent. The findings of this study contain useful information for diverse purposes of cross-border stock market players such as asset allocation, portfolio management, risk management, and market regulations.

• Journal of the Korean association of regional geographers
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• v.11 no.6
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• pp.640-656
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• 2005

A chronic depression in the Korean economy, which depends mostly on imported oil, has been attributed partly to rising crude oil prices recently. Against the backdrop of these realities in Korea, Azerbaijan in the Caspian region, with vast oil and gas deposits, has been greeted enviously by some Koreans. Many transition economies, especially on the Caspian region trumpeted by the oil boom, however, are rich in natural resources, but the benefits of those resources are appropriated by the local elite in collusion with foreign companies. Azerbaijan, in particular, is dominated by a series of internal and external patronage networks. Foreign capital nourishes those networks surrounding President Aliev. Thus, the case of Azerbaijan shows that resource rents in the transition economies sometimes do not help in improving the living conditions of ordinary people. Rather rich resource rents turn out to be a major impediment to the emerging development of the transition economy, lessening the incentives to reform in the country. The result was the possibility of the so-called Dutch Disease, in which disproportionate growth in a certain energy sector tends to crowd out investment in other sectors of the economy.

• Korean Journal of Organic Agriculture
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• v.9 no.3
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• pp.23-44
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• 2001

To address complex solutions to tack1e the cost rise with the increasing of the prices of crude oil, and to lower warming gas discharge in agricultural sector in line with the framework Convention on Climate Change, we need to net only develop the methods of simply reducing energy use ratio, but also effectively energize resources discharged in the course of agricultural production aimed at enabling repealed farming, and develop systems to reinvest such energy into agricultural production and apply them to actual farming. To that end, specifically, we need to reduce the energy cost in agricultural production, and produce and harness bio gas that makes it possible to stabilize the continued supply of energy. Thus, in this research, we seek to discuss energy use volume and warming gas discharge, and the characteristics of bio gas and its use methods alike, in agricultural sector, and thus present methods for environment-friendly and continual development in agriculture.

• Environmental and Resource Economics Review
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• v.25 no.4
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• pp.495-516
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• 2016

This study empirically examines how asymmetric price adjustment of the retail gas price happens differently for various oil products, such as high-grade gasoline, regular gasoline, and diesel, by employing asymmetric error correction model within weekly data set from 2010~2015. Our estimation results show that the price adjustment, across the all oil types, predicated on shifting crude oil and wholesale oil prices is asymmetric. In addition, the duration of asymmetry was shorter in high-grade gasoline case than in other oil types. This took place by rapid price adjustment of high-grade gasoline price when faced with both cost increases and decreases, in comparison with regular gasoline and diesel cases. There results were attributed by characteristics of the consumer group and a high retail-wholesale margin of high-grade gasoline.

• Communications for Statistical Applications and Methods
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• v.29 no.1
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• pp.85-101
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• 2022

Derivative-linked securities (DLS) is a type of derivatives that offer an agreed return when the underlying asset price moves within a specified range by the maturity date. The underlying assets of DLS are diverse such as interest rates, exchange rates, crude oil, or gold. A German 10-year bond rate-linked DLS and a USD-GBP CMS rate-linked DLS have recently become a social issue in Korea due to a huge loss to investors. In this regard, this paper accounts for the payoff structure of these products and evaluates their prices and fair coupon rates as well as risk measures such as Value-at-Risk (VaR) and Tail-Value-at-Risk (TVaR). We would like to examine how risky these products were and whether or not their coupon rates were appropriate. We use Hull-White Model as the stochastic model for the underlying assets and Monte Carlo (MC) methods to obtain numerical results. The no-arbitrage prices of the German 10-year bond rate-linked DLS and the USD-GBP CMS rate-linked DLS at the center of the social issue turned out to be 0.9662% and 0.9355% of the original investment, respectively. Considering that Korea government bond rate for 2018 is about 2%, these values are quite low. The fair coupon rates that make the prices of DLS equal to the original investment are computed as 4.76% for the German 10-year bond rate-linked DLS and 7% for the USD-GBP CMS rate-linked DLS. Their actual coupon rates were 1.4% and 3.5%. The 95% VaR and TVaR of the loss for German 10-year bond rate-linked DLS are 37.30% and 64.45%, and those of the loss for USD-GBP CMS rate-linked DLS are 73.98% and 87.43% of the initial investment. Summing up the numerical results obtained, we could see that the DLS products of our interest were indeed quite unfavorable to individual investors.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.24 no.2
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• pp.44-50
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• 2010

Recently, the crude oil price per one barrel in 2005 cost 49.4 dollars. But the value of crude oil in 2007 had ascended 68.4 dollars which was skyrocketed 38.5[%] owing to the sudden rise of energy price. As it has been growing the necessity of energy efficiency, energy intentive companies actively try to implement energy management system It has been studied to improve the energy saving for household sector using the smart metering system which can give the information of energy prices, pattern on real time to energy consumers and voluntarily lead the activities of energy saving. In this paper, we estimated potential benefits and value of smart metering system through california test.

• Journal of Plant Biotechnology
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• v.37 no.1
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• pp.25-46
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• 2010

The demand for fuel and energy resources continues to grow due to increased consumption and emerging economies in all parts of the world. With this increase in demand, crude oil prices in the international market has jumped dramatically. Global warming, which is a consequence of increasing greenhouse gas (GHG) emissions, has become scientific, social, and political concerns. To cope with global warming and energy crisis, cost-competitive biofuels are urgently needed. In addition, development of an infrastructure, which supplies energy stably and diversifies energy resources, as well as new cost-saving technologies should be developed to reduce the costs of producing biofuels. Due to high oleic acid content, rapeseed (Brassica napus L.) is currently the potential feedstock for biodiesel production in temperate zone region and the production and use of rapeseed oil is already commercialized in Europe. In Korea double-cropping (rice and rapeseed) became more prevalent because it reduces competitions from land constraints. Production of rapeseed as a biodiesel feedstock may reduce the influence of rising oil prices and nation's dependence on imported petroleum and increase job opportunities and farm incomes.

• Journal of Hydrogen and New Energy
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• v.20 no.1
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• pp.22-30
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• 2009

Energy environment has been changing rapidly such as the fluctuation of oil prices and the effect on UNFCCC. Oil price change affects Korea's economy heavily due to her poor natural resources and large dependence of consumed energy resources. Korea takes the 4th place of importing the crude oil and 9th place in $CO_2$ emissions with the 1st place of $CO_2$ emissions increasing rate. Considering the current statue of Korea including oil price change and UNFCCC, Korea will be expected to be the Annex I nation due to Korean energy environments and the quantity of $CO_2$ emission. Energy technology development is a crucial key to cope with Korea's national energy security and environments. In this study, we establish the framework, which allocates the relative weights of assessment criteria and sub-criteria, for assessing and selecting R&D programs of energy technologies strategically. We integrated fuzzy theory and analytic hierarchy process (AHP) approach since the fuzzy AHP approach reflects the vagueness of human thoughts and perception effectively as making pairwise comparisons of criteria and alternatives. The fundamental data of this research results will support R&D planning phase for policy-makers and the production of well focused R&D outcomes.