• 대한산업공학회지
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• 제13권2호
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• pp.1-8
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• 1987

In this paper, a deterministic EOQ model with interest rate in which a proportion (${\beta}$) of the demand is backlogged and the rest (1-${\beta}$) is lost. The optimal order quantity is derived and the corresponding average cost is obtained, Sensitivity analysis is performed to sec the influence of interest rate on the optimal order quantity and the average cost. Finally a numerical example is given in which optimum quantities of the model developed in this study and those of the conventional EOQ model are compared.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2000년도 추계정기학술대회:지능형기술과 CRM
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• pp.417-426
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• 2000

This study suggests integrated neural network models for Interest rate forecasting using change-point detection, classifiers, and classification functions based on structural change. The proposed model is composed of three phases with tee-staged learning. The first phase is to detect successive and appropriate structural changes in interest rare dataset. The second phase is to forecast change-point group with classifiers (discriminant analysis, logistic regression, and backpropagation neural networks) and their. combined classification functions. The fecal phase is to forecast the interest rate with backpropagation neural networks. We propose some classification functions to overcome the problems of two-staged learning that cannot measure the performance of the first learning. Subsequently, we compare the structured models with a neural network model alone and, in addition, determine which of classifiers and classification functions can perform better. This article then examines the predictability of the proposed classification functions for interest rate forecasting using structural change.

• 노동경제논집
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• 제40권1호
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• pp.37-68
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• 2017

본 연구에서는 재정패널 자료를 이용하여 가계부채와 기혼여성의 노동공급 사이의 관계를 분석하였다. 이를 위해 가구의 이자비용 납부액 대비 가구금융부채 금액을 이용하여 가구의 유효이자율을 구축하였다. 금융부채가 없는 가구의 경우 Heckman Selection 모형을 적용하여 가구의 이자율을 추정하였다. 실증 분석결과 가구에서 부담하는 유효이자율이 상승하게 될 경우 기혼여성의 노동시장 참여가 확대된다는 것을 발견하였다. 이로부터 기준금리가 인상되는 상황에서 예상할 수 있는 부정적인 시나리오를 가구 노동공급 증가와 근로소득의 상승효과를 통해 일정 부분 상쇄할 수 있는 긍정적인 효과를 제시하고 있다.

• 경영과정보연구
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• 제34권4호
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• pp.67-81
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• 2015

본 연구의 목적은 보건의료산업 주식 시장에 대해 거시경제변수에 대한 요인이 미치는 영향을 알아보고자 한다. 첫째, 의약품지수는 국공채금리와 환율을 원인변수로 하며 콜금리변수와는 상호영향 관계를 가진다. 즉 금리와 환율의 변화는 의약품산업에 영향을 미치는 변수로서 주의해야 한다는 것이다. 둘째, 의료기기지수는 콜금리, 국공채금리, 환율에 대해 상호 원인변수로 작용하며 경상수지변수를 원인변수로 한다. 즉 의료기기산업에 대해 금리와 환율 그리고 경상수지의 변화가 영향을 미칠 수 있다는 것이다. 셋째, 의약품 지수에 영향을 미치는 변수의 관계를 추가적으로 분석하면 콜금리와 환율은 음(-)의 관계이며 국공채금리와는 양(+)의 관계를 가진다. 의료기기 지수에 영향을 미치는 변수의 관계를 분석하면 환율과는 음(-)의 관계이며 국공채금리와는 양(+)의 관계를 가진다.

• The Journal of Asian Finance, Economics and Business
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• 제3권2호
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• pp.5-11
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• 2016

This study investigates the impact of Malaysia's capital market and other key determinants on Economic Growth from the period of 1988 to 2012. The key determinants studied are foreign direct investment and real interest rate. This study also examines the long run and short run relationship between the economic growth and capital market, foreign direct investment, and real interest rate by using bound testing cointegration of Autoregressive Distributed Lag (ARDL) and Error Correction Model (ECM) version of ARDL model. The empirical results of the study suggest that there is long- run cointegration among the capital market, foreign direct investment, real Interest rate and economic growth. The result also suggests that capital market and real interest rate have positive impact on economic growth in the short run and long run. Foreign direct investment does not show positive impact on economic growth in the short run but it does in the long run.

• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 1996년도 춘계공동학술대회논문집; 공군사관학교, 청주; 26-27 Apr. 1996
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• pp.741-744
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• 1996

Artifical Neural Network(ANN) models were used for forecasting interest rate as a new methodology, which has proven itself successful in financial domain. This research intended to construct ANN models which can maximize the performance of prediction, regarding Corporate Bond Yield (CBY) as interest rate. Synergistic Market Analysis (SMA) was applied to the construction of models [Freedman et al.]. In this aspect, while the models which consist of only time series data for corporate bond yield were devloped, the other models generated through conjunction and reorganization of fundamental variables and market variables were developed. Every model was constructed to predict 1,6, and 12 months after and we obtained 9 ANN models for interest rate forecasting. Multi-layer perceptron networks using backpropagation algorithm showed good performance in the prediction for 1 and 6 months after.

• 한국데이터정보과학회:학술대회논문집
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• 한국데이터정보과학회 2003년도 추계학술대회
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• pp.57-72
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• 2003

This article provides integrated neural network models for the interest rate forecasting using change-point detection. The model is composed of three phases. The first phase is to detect successive structural changes in interest rate dataset. The second phase is to forecast change-point group with data mining classifiers. The final phase is to forecast the interest rate with BPN. Based on this structure, we propose three integrated neural network models in terms of data mining classifier: (1) multivariate discriminant analysis (MDA)-supported neural network model, (2) case based reasoning (CBR)-supported neural network model and (3) backpropagation neural networks (BPN)-supported neural network model. Subsequently, we compare these models with a neural network model alone and, in addition, determine which of three classifiers (MDA, CBR and BPN) can perform better. For interest rate forecasting, this study then examines the predictability of integrated neural network models to represent the structural change.

• 대한수학회지
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• 제43권4호
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• pp.845-858
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• 2006

We present two approaches of the stochastic interest rate European option pricing model. One is a bond numeraire approach which is applicable to a nonzero value asset. In this approach, we assume log-normality of returns of the asset normalized by a bond whose maturity is the same as the expiration date of an option instead that of an asset itself. Another one is the expectation hypothesis approach for value zero asset which has futures-style margining. Bond numeraire approach allows us to calculate volatilities implied in options even though stochastic interest rate is considered.

• 분석과 대안
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• 제4권1호
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• pp.105-123
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• 2020

This study analyzes the risk selection behavior of Japanese households. The study approaches the view of 'the hyperbolic discount' which is used in behavioral economics based on the rise in mortgage lending by low-income households in the late 2000s. The study focuses on how households risk preferences vary by income levels. The study analyzes the relationship of attitude of household interest rate risk using Binomial Logistic and Heckman two-step estimation method assuming that there are only two types of Adjustable-Rate Mortgage and Fixed-Rate Mortgage. As a result of the empirical analysis, low-income households annual income tend to have a higher proportion of housing debt as same as higher interest rate risk preferences households in proportion to income growth and interest rate risk preferences. Those results indicate that there is possibility of a hyperbolic discount on low-income households in Japan, and support the hypothesis that low-income households are relatively higher household debt ratio because of high utility due to home purchase in the near future (short-term).

• 국제지역연구
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• 제14권1호
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• pp.77-97
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• 2010

최근 국제자원시장의 불안정성으로 인해 카스피해 연안 국가에 대한 관심이 고조되고 있다. 이들 국가들은 자원수출 중심으로 성장하고 있으며, 특히 카자흐스탄은 최근 10년간 높은 경제성장률을 달성하였다. 그러나 자원에 대한 수출의존도가 높은 경제구조를 가진 국가들의 경우 경제 전반이 국제자원 시세변동에 따라 크게 영향을 받을 수 있으며, 지속적인 경제성장을 저해하는 네덜란드 병에 노출될 수 있다. 최근 카자흐스탄은 우리나라와 교역 및 투자가 증가하는 등 새로운 에너지 공급처로서 대두되었다. 따라서 카자흐스탄의 경제변화는 우리나라에 있어 주요 이슈라고 할 수 있다. 이 연구에서는 카자흐스탄 경제에 네덜란드 병의 원인을 파악하기 위해 Balasa-Samuelson모형을 수정하여 1999년 1월부터 2008년 12월까지를 표본 대상 기간 동안 국제유가와 이자율, 카자흐스탄 실질환율 간의 관계를 분석하였다. 실증분석 결과 전체 표본 기간 내 국제유가와 이자율은 실질환율과 장기적 균형관계를 보이는 것으로 나타났다. 이 기간 내 국제유가와 이자율은 실질환율에 각각 부(-)의 영향을 미치는 것으로 나타나 카자흐스탄은 네덜란드 병에 노출되어 있음을 확인하였다.