• 통상정보연구
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• 제13권4호
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• pp.229-249
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• 2011

본 연구는 글로벌금융위기 이후에 환율변동과 수출가격과의 관련성을 살펴보았다. 이를 위하여 우리나라 수출기업의 가격차별화 가격결정 행태뿐만 아니라 우리나라 수출산업의 특성상 가공무역구조로 인식하고 수출가격 결정모형을 설정하였다. 이러한 수출가격 결정모형에 근거하여 된 2008년 1월 이후 2011년 10월까지의 기간을 대상으로 음식료품, 목재나무제품, 펄프종이제품, 화학제품을 제외한 제조업을 대상으로 환율변동의 수출가격에의 전가율을 추정하였다. 연구결과 원화환율은 수출가격에 불완전 하게 전가되는 것으로 추정됨을 확인하였다. 원화환율의 1% 상승(하락)은 우리나라 제조업 수출가격을 장단기적으로 0.44 %와 0.33%상승(하락)시키는 것으로 추정되었다. 또한 우리나라 수출가격은 원화환율 뿐만 아니라 경쟁국의 수출가격, 미국경기통행지수, 단위노동비용 및 원자재 수입가격을 대변하는 생산자물가지수, 경쟁국의 환율에 크게 영향을 받는 것으로 나타났다. 산업별 환율전가의 차이는 시장 점유율, 제품차별화, 자본집약도 등과 밀접한 관련이 있는 것으로 분석되었는데 대체로 해외시장 점유율이 높거나 혹은 제품차별화 정도가 크거나 혹은 노동비율이 높은 자본집약산업에서 환율전가도가 높게 나타났다.

• 재무관리연구
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• 제24권3호
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• pp.153-186
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• 2007

It is well known that the distributional properties of financial asset returns exhibit fatter-tails and skewer-mean than the assumption of normal distribution. The correct assumption of return distribution might improve the estimated performance of the Value-at-Risk(VaR) models in financial markets. In this paper, we estimate and compare the VaR performance using the RiskMetrics, GARCH and FIGARCH models based on the normal and skewed-Student-t distributions in two daily returns of the Korean Composite Stock Index(KOSPI) and Korean Won-US Dollar(KRW-USD) exchange rate. We also perform the expected shortfall to assess the size of expected loss in terms of the estimation of the empirical failure rate. From the results of empirical VaR analysis, it is found that the presence of long memory in the volatility of sample returns is not an important in estimating an accurate VaR performance. However, it is more important to consider a model with skewed-Student-t distribution innovation in determining better VaR. In short, the appropriate assumption of return distribution provides more accurate VaR models for the portfolio managers and investors.

• The Journal of Asian Finance, Economics and Business
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• 제8권1호
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• pp.81-91
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• 2021

This paper investigates the long run hedging ability of precious metals against the risks associated with adverse conditions of economic and financial variables for Pakistan, the USA, China, and India. Monthly data of gold, silver, platinum, stock returns, exchange rate, industrial production, and inflation was collected for the selected economies. Saikkonen and Lutkepohl (2002) unit root test was employed to access the unit root properties of the data series and identify the break dates. Furthermore, this study used the Johansen cointegration test with and without structural breaks to identify the long-run relationship between metals prices and different financial and economic variables. The findings suggest that the time series under study have unit root problem at level with and without structural breaks. Without considering structural breaks, the Johansen trace test indicates that in Pakistan and China, gold, silver, and platinum hold a cointegrating relationship with macroeconomic and financial variables. For the US, gold indicates cointegration which supports the hedging ability of gold against inflation, stock, and industrial production in the long run. The results of the cointegration test after incorporating the structural breaks provide even stronger evidence of the long-run relationship of precious metals and consumer prices, exchange rate, and stock prices.

• 농업과학연구
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• 제10권2호
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• pp.371-381
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• 1983

This study is aimed at identifying the economic effects of drainage improvement projects. The total area of poor drainage is equivalent to 170,000ha, 13% of the total area of paddy field in Korea. The development of poor drained paddy is an urgent problem considering the low rate of self-sufficiency of food grain and the limitation of farmer's income increase. Rapid development of Korean economy has brought labor shoriage in rural farming sector. Accordingly farm mechanization is an important agricultural policy to hike labor productivity and to save production costs of rice farming. The expected economic benefits of the drainage improvement project are derived from increasing land productivity, expanding double cropped area and farming the farm mechanization base in paddy fields. The economic and financial rate of return of the project are considered very important decision making criteria for project implementation by resource allocation. Therefore this study covered benefit and cost analysis of the sampled area, the estimated financial rate of returns in $Buy{\check{o}}$ and Jinsung are represented 15% and 51% respectively and the economic rate of returns in both project area are also showing 1% and 26% respectively. The rate of return of the projects has showed an outstanding variance according to the locational and natural characteristics of the project area. As showing the above economic rate of return, $Buy{\check{o}}$ is very low Jinsung is very high. But the financial rate of return of both projects are considered comparatively high. Cosequently, the drainage improvement projects should be promoted from the view point of farm income increase to make narrow the income gap between rural and urban incomes and farm mechanization to solve labor shortage in the rural area.

• 통상정보연구
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• 제12권1호
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• pp.153-175
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• 2010

This study conducts an analysis to verify an existence of co-movement among the exchange rates of Yuan-Dollar, Yen-Dollar and Won-Dollar by using time series data. An analysis period is divided into two periods. Therefore the first analysis period is from Dec. 17, 1997 to Jul. 21th. 20, 2005 and the second analysis period is from Jul. 25th, 2005 to Nov. 20th. 2009. This paper uses VAR model and daily data of exchange rates during the period. According to the result of an empirical analysis, yuan-dollar exchange rate has affected by th other variables ; yen-dollar exchange rate. It can be proved by result of an impulse response test and variance decomposition test in the second period. Therefore the won-dollar, yen-dollar, and Yen-dollar exchange rate has been influenced each other and the relationship will be maintained.

• Communications for Statistical Applications and Methods
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• 제13권3호
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• pp.685-699
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• 2006

Commercial banks and other related areas have developed internal models to better quantify their financial risks. Since an appropriate credit risk model plays a very important role in the risk management at financial institutions, it needs more accurate model which forecasts the credit losses, and statistical inference on that model is required. In this paper, we propose a new method for estimating a default rate. It is a Bayesian approach using the power prior which allows for incorporating of historical data to estimate the default rate. Inference on current data could be more reliable if there exist similar data based on previous studies. Ibrahim and Chen (2000) utilize these data to characterize the power prior. It allows for incorporating of historical data to estimate the parameters in the models. We demonstrate our methodologies with a real data set regarding SOHO data and also perform a simulation study.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2011년도 추계 학술논문 발표대회
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• pp.69-70
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• 2011

During the financial crisis in the late 1990s, we witnessed the large corporations failing at one moment. It is clear that the debt-dependant size augmentation and duplicate investment, and the failure in fund liquidity adjustment were the greatest causes rather than the long-term strategic advantage. Such fact, however, has led to the introduction of advanced financial techniques and security/management of fund liquidity. In order to propose a method to secure fund liquidity at the construction level, this study considers the documentational/precedent studies on project financing among fund procurement methods. And the fund liquidity status at construction level is investigated domestically/internationally to analyze the fund flow. Finally, the actual data is used to analyze progress rate and sales rate to end with the proposal of the method to secure fund liquidity in the progression of this study.

• 문화기술의 융합
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• 제5권4호
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• pp.277-282
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• 2019

본 연구는 저축은행의 재무건전성에 미치는 결정요인들을 분석하였다. 특히 구조조정 이후 예대율이 재무건전성과 어떠한 상관관계를 가지는지 실증분석 하였다. 2014년 저축은행 구조조정이 마무리되면서 자산운용에 변화가 있었으며, 최근 또 다시 재무건전성을 우려하고 있는 상황에서 저축은행 재무건전성에 미치는 재무특성 변수에 대한 분석이 요구되는 시점이다. 분석결과를 요악하면, 저축은행의 예대율과 고정이하여신비율 간의 관계는 1% 유의수준에서 음(-)의 값을 가지는 것으로 나타났다. 즉 예대율이 높을수록 고정이하여신비율이 감소하는 것으로 나타났다. 예대율이 높다는 것은 대출재원으로 예금이외의 시장성 수신 등을 이용할 가능성이 높다는 것이다. 이는 저축은행의 입장에서 공격적인 대출포트폴리오를 구축하는 것이 쉽지 않을 가능성이 존재한 결과라고 할 수 있다. 즉 저축은행이 예수금을 통한 대출재원 조달이 어려울수록 위험회피성향이 강하게 나타날 수 있음을 시사하고 있다. 그 외 기업대출비중, 평균이자비용, 경제성장률이 높을수록 위험지표가 높게 나타났으며, 자산규모가 크고, 대출증가율이 높을수록 위험지표가 낮게 나타났다. 예대율 증가는 위험추구행위가 감소될 수 있으나 저축은행 재무건전성에 무조건 긍정적으로 작용함을 의미하는 것은 아니다. 따라서 예대율 규제를 통해 특정대출의 과도한 자산확대 유인을 감소하고, 대출 포트폴리오 관리를 통해 선제적 건전성 관리가 이루어져야 할 것이다.

• 무역학회지
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• 제43권3호
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• pp.169-198
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• 2018

본 연구는 전통적으로 사용되는 수출수요모형을 사용하여 환율변동이 동아시아 국가에 대한 한국의 기계류 중간재 수출에 미치는 영향을 글로벌 금융위기 전후기간으로 나누어 분석하였다. 기계류 중간재의 수출에 대한 환율변동성의 추정결과에 대해 타당성을 확보하기 위하여 이동평균 표준편차, 12개월 고정평균 표준편차, GARCH 모형 등의 환율변동에 대한 다양한 측정방법을 사용하였다. 변수들 간의 장기적 관계는 Pedroni(1999)가 제안한 패널 공적분 검정 및 DOLS & FMOLS 패널 회귀분석을 적용하여 분석하였다. 분석결과, 글로벌 금융위기 이전에는 환율변동성이 기계류 총수출 및 일반기계, 전자기계, 운송장비 등의 중간재의 수출에 긍정적인 영향을 미치지만 정밀기계 중간재의 수출에는 영향을 주지 않는 것으로 나타났다. 그러나 글로벌 금융위기 이후에는 환율변동성이 기계류 총수출 및 모든 기계류 중간재의 수출에 부정적인 영향을 주는 정반대의 결과가 나타났다. 글로벌 금융위기 전후의 전체 기간을 분석대상으로 하는 경우 정밀기계 중간재의 수출에 대해 긍정적인 영향을 미쳤고 그 외 기계류 중간재의 수출 및 기계류 총수출에는 부정적인 영향을 주는 것으로 나타났다.

• The Journal of Asian Finance, Economics and Business
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• 제8권7호
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• pp.215-224
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• 2021

This article emphasizes the consequences of exploring the relationship between sustainable development practices and non-financial performing factors. Also, it investigates the combined effects of the transformational leadership style on the relationship between sustainable development practices and non-financial performing factors. Using primary data sources, this study reviews the literature on the relationship between the factors of the effectiveness of sustainable development practices of Jordanian contractors and non-financial performance. A total of 290 questionnaires were personally distributed to contractors in the Amman district in Jordan. Only 253 questionnaires were returned and usable for further analysis, which represents a response rate of 87%. Data was collected from October 2020 until April 2020. Hypotheses were tested through multiple regression analysis, and hypotheses for interacting effect were examined through hierarchical multiple regression analysis. Based on the results of the analysis obtained there is a significant effect on the relationship between sustainable development and non-financial performances. It shows that construction companies involved in sustainability practices will able to improve their performance, which contributed significantly toward the overall firm's performance. Whereas, results from hierarchical multiple regressions showed that transformational leadership had no moderation effect on the non-financial performance in such a way that reaches a higher firm performance level.