• Title/Summary/Keyword: Interest Rates

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The effect of Consumer Price, Interest Rate and Sales Performance on the KOSPI (소비자물가와 금리, 매출실적이 종합주가지수에 미치는 영향 분석)

  • Yang, Seung-Kwon;Choi, Jeong-Il
    • Journal of Digital Convergence
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    • v.17 no.10
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    • pp.169-176
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    • 2019
  • Recently, the Korean economy is congested with Japan's economic retaliation, the US-China trade war, the Bank of Korea's 0.25% base rate cut and Korea's economic growth forecast revision. The purpose of this study is to analyze the KOSPI, CPI, Treasury bonds(3 years) Interest rate & sales performance of all industries, and examine the impact of each index on the KOSPI. The analysis period is from January 2003 to June 2019, and the effect of each index on the KOSPI is analyzed. In numerical analysis, we performed correlation coefficients and regression analysis. In the model analysis, the distribution, quadrant, scatter, box-plot and impulse response were examined. This study examined the volatility and dynamic characteristics of each index. As a result, the KOSPI showed a high correlation with sales and Treasury bonds, but showed a very low correlation with the CPI. The KOSPI will continue to be affected by sales and interest rates.

Empirical Analysis on Exchange Rate Determination in Global Foreign Exchange Markets : The Case of 10 Major Countries (글로벌 외환시장의 환율 결정구조 분석에 관한 실증연구 : 주요 10개국을 중심으로)

  • Rhee, Hyun-Jae
    • International Area Studies Review
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    • v.14 no.3
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    • pp.221-246
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    • 2010
  • The paper is basically attempted to reveal a mechanism of exchange rate determination in global foreign exchange markets. For a theoretical framework, uncovered interest rate parity(UIRP), covered interest rate parity(CIRP), and real interest rate parity(RIRP) are tentatively adapted, and GARCH-M model is employed for an econometric methodology. Empirical evidence shows that the UIRP is superior to others, and the RIRP is better than the CIRP in explaining how exchange rates are determined in global exchange markets. All of them, however, is not fully supported by economic theories. Following Frankel(1989), country premium, volatility premium, and currency premium are evaluated to see if which premium is a crucial in disturbing the RIRP, and it is found that country and currency premiums are a major components in disturbing the RIRP. To this end, market-oriented and market-determined systems has to be built to avoid currency disputes which is undergoing hot issue in global foreign exchange market.

Economic evaluation on heating systems of apartment complex (공동주택단지 난방시스템들에 대한 경제성 평가)

  • 조금남;윤승호;김원배
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.10 no.6
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    • pp.773-783
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    • 1998
  • The heating system for apartment complex may be classified as old systems including central system with steam boiler(S1), gas engine driven heat pump system(S2), system using waste heat(S3) and new systems including mechanical vapor re-compression system with flashing heat exchangers(S4), system using methanol(S5), system using metal hydride (S6). The purpose of the present study is to suggest optimal heating system by technically, economically and environmentally evaluating old and new heating systems of apartment complex from 500 to 3,000 households. Economic evaluation based on the technical evaluation results which estimated heat transfer area of heat exchangers and capacity of equipments was estimated initial investment cost, annual operating cost and relative payback period by considering annual increasing rates of energy cost and interest. Environmental evaluation provided annual generation rate of carbon dioxide. Initial investment cost was cheap in the order of S6, S5, S3, S2, S4, S1, annual operating cost was cheap in the order of S1, S2, S4, S5 and relative payback period was short in the order of S6, S5, S2, S3 and S4. Relative payback period was within 8 years for all scenarios of 3,000 households, and was increased as annual increasing rates of energy cost and interest were increased. As transportation pipe length was increased twice, payback period was increased by 1.4~2.6 time. The effect of temperatures of waste gas and waste water on the relative payback period was small within 0.8 years. The annual generation rate of carbon dioxide was big in the order of S4, S2 and S1. S4 was the most economic system among whole scenarios when S1 was replaced with other scenarios.

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A Recognition Analysis on Activation of Housing Reverse Mortgage Loans and Mortgage Loans (주택연금과 주택담보대출의 활성화 방안 인식분석)

  • Lee, Chan Ho;Shin, Yeong Mi
    • Journal of Digital Convergence
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    • v.12 no.7
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    • pp.197-203
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    • 2014
  • This study deals with a comparative analysis on reverse mortgage loans and mortgage loans in order to pave a path for activation of real estate financing. The fact-revealing analysis was conducted through surveys based on theoretical consideration and advanced researches, which has drawn a range of findings. As the results of this study, the important findings concerning the improvement on the activation of practical housing reverse mortgages are applicable to all real estate, diversifying the tax benefits, and deregulation of 1 house, etc. and findings concerning the improvement to activate mortgage loans are diversifying types of interest rates, diversifying types of repayment, tax benefits for less than 15 years maturity period, and granting benefits(low interest rates, higher loan limits) to low-income households, etc. This study has a significance for providing basic materials in order to accomplish advanced finance policies along with social welfare services as suggesting measures to improve and activate real estate financing through the findings out of the fact-revealing analysis conducted as above.

A Research on stock price prediction based on Deep Learning and Economic Indicators (거시지표와 딥러닝 알고리즘을 이용한 자동화된 주식 매매 연구)

  • Hong, Sunghyuck
    • Journal of Digital Convergence
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    • v.18 no.11
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    • pp.267-272
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    • 2020
  • Macroeconomics are one of the indicators that are preceded and analyzed when analyzing stocks because it shows the movement of a country's economy as a whole. The overall economic situation at the national level, such as national income, inflation, unemployment, exchange rates, currency, interest rates, and balance of payments, has a great affect on the stock market, and economic indicators are actually correlated with stock prices. It is the main source of data for analysts to watch with interest and to determine buy and sell considering the impact on individual stock prices. Therefore, economic indicators that impact on the stock price are analyzed as leading indicators, and the stock price prediction is predicted through deep learning-based prediction, after that the actual stock price is compared. If you decide to buy or sell stocks by analysis of stock prediction, then stocks can be investments, not gambling. Therefore, this research was conducted to enable automated stock trading by using macro-indicators and deep learning algorithms in artificial intelligence.

Analysis of Investment in Equipment Capital for Fattening Cattle Farms (한우 비육우 전업농가 시설투자한계 분석)

  • Kim, Jae-Hwan;Kim, Sang-Woo;Cho, Won-Mo;Kang, Hee-Seol;Cho, Young-Moo
    • Journal of Animal Environmental Science
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    • v.2 no.2
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    • pp.155-164
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    • 1996
  • The objective of this study was to estimate the investment limit in equipment capital by Capital Recovery Method. The data used was collected from 23 Hanwoo(Korean Native Cattle) farms in 1994. The necessary time for herd size expansion was average 5 years from opening(9.7 heads) to 50 heads, 4 years from 50 to 100heads, 3 years from 100 to 150 heads, and 2 years from 150 to 200 heads, respectively. It took 14 years from opening to 200 heads of herd size. The debts for fattening cattle farms were 15.2million won for the size of 50 heads, 37.1 million won for the size of 100 heads and 89.0 million won for the size 200 heads, respectively. Average rates of debt interest were 5.1 % 7.2 and 10.8, correspendingly. As the hear size increased, debt interest rates also increased due to government funds limit. The investment limits in equipment capital perfarm household were 77.7 million won for 50 heads, 135.1 for 100 heads, and 294.3 for 200 heads for 5,500 won per kg liveweight, 70.7 million won for 50 heads, 122.6 for 100 heads and 269.3 for 200 heads for 5,000 won per kg liveweight, 63.6 million won for 50 heads 110.0 for 100 heads and 244.2 for 200 heads for 4,500 won per kg liveweight.

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Determinants of a Firm's Exit from Exporting: Evidence from Korean Manufacturing Firms (우리나라 제조업 기업의 수출중단 결정요인 분석)

  • Nam, Yunmi;Choi, Moon Jung
    • Economic Analysis
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    • v.26 no.4
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    • pp.98-136
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    • 2020
  • We empirically investigate the determinants of a firm's exit from exporting, using Korean manufacturing firm-level data for the period from 2006 to 2014. Specifically, we estimate the effects of not only firm-level and industry-level characteristics, but also macroeconomic variables on the probability that a firm stops exporting by applying a Complementary Log-Log Model analysis. The results of our estimation suggest that firm-level heterogeneity, such as workforce size, capital intensity, intangible assets and foreign ownership, industry-level variation, such as the labor displacement rate, and macroeconomic variables, such as domestic demand and world demand, significantly affect the possibility of a firm ceasing exports. Also, we show that market interest rates increase the possibility of an export cessation and that the effects of market interest rates are more pronounced on firms with a higher debt ratio. In the primary exporting industries, the probability of a firm ceasing exports decreases as productivity at the firm rises.

Analysis of the Impact of US, China, and Korea Macroeconomic Variables on KOSPI and VKOSPI (미국·중국·한국 거시경제변수가 한국 주식수익률 및 변동성 지수 변화율에 미치는 영향 분석)

  • Jung-Hoon Moon;Gyu-Sik Han
    • Asia-Pacific Journal of Business
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    • v.15 no.1
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    • pp.209-223
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    • 2024
  • Purpose - This article analyzes the impact of macroeconomic variables of the United States, China, and Korea on KOSPI and VKOSPI, in that United States and China have a great influence on Korea, having an export-driven economy. Design/methodology/approach - The influence of US, China, and Korea interest rates, industrial production index, consumer price index, US employment index, Chinese real estate index, and Korea's foreign exchange reserves on KOSPI and VKOSPI is analyzed on monthly basis from Jan 2012 to Aug 2023, using multifactor model. Findings - The KOSPI showed a positive relationship with the U.S. industrial production index and Korea's foreign exchange reserves, and a negative relationship with the U.S. employment index and Chinese real estate index. The VKOSPI showed a positive relationship with the Chinese consumer price index, and a negative relationship with the U.S. interest rates, and Korean foreign exchange reserves. Next, dividing the analysis into two periods with the Covid crisis and the analysis by country, the impact of US macroeconomic variables on KOSPI was greater than Chinese ones and the impact of Chinese macroeconomic variables on VKOSPI was greater than US ones. The result of the forward predictive failure test confirmed that it was appropriate to divide the period into two periods with economic event, the Covid Crisis. After the Covid crisis, the impact of macroeconomic variables on KOSPI and VKOSPI increased. This reflects the financial market co-movements due to governments' policy coordination and central bank liquidity supply to overcome the crisis in the pandemic situation. Research implications or Originality - This study is meaningful in that it analyzed the effects of macroeconomic variables on KOSPI and VKOSPI simultaneously. In addition, the leverage effect can also be confirmed through the relationship between macroeconomic variables and KOSPI and VKOSPI. This article examined the fundamental changes in the Korean and global financial markets following the shock of Corona by applying this research model before and after Covid crisis.

The Effect of Advanced Science Content Introduced to High School Curriculum on Students' Interest in Science (고등학교 교육과정에 도입된 최신 과학 내용이 학생들의 과학에 대한 흥미에 미치는 영향)

  • Kim, Hyun-Jung;Hong, Jee-Hye;Hong, Hun-Gi
    • Journal of The Korean Association For Science Education
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    • v.31 no.6
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    • pp.827-835
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    • 2011
  • This study investigated the effect of introducing advanced science contents into the science curriculum 10th grade on students' interest in science. Four classes of the 10th grade were selected from a co-ed high school located in the city of Seoul. Among them, each two classes were assigned as a control group and treatment group, respectively. Students in each group were divided into three groups according to their previous science achievement. The treatment group was taught with materials consisting of advanced science content that was associated with the 'Reaction Rates', 'Environment' and 'Inquiry of Science' section of the curriculum. Before and after being taught over a six-week period, students' interest in science and science class were measured. The data showed that there was a significant correlation between the instruction and students' previous science achievement in the 'interest in science'(p<.01). There was a significant difference between the two groups in the 'interest in science class' irrespective of their prior science achievement (p<.05). The data showed that the introduction of advanced science content into the science curriculum had considerable effect on increasing students' interest in science and science class. Moreover, many students expected more opportunities to learn advanced science content associated with the science curriculum.

A Study on Body Mass Index and Associated Factors of the Middle Aged Women in Small City (중소도시 중년기 여성의 비만도 및 비만 관련변인 연구)

  • 김연희;김영남
    • Korean Journal of Community Nutrition
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    • v.7 no.4
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    • pp.506-515
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    • 2002
  • This study examined the state of health and weight maintenance according to the body mass index (BMI) , and explored demographic variables, diet variables, the degree of stress etc. The results presented were based on data collected from 428 women who are mothers of the middle school children in Jeongeup city. Using SPSS WIN (Ver 9.0) , the frequency, percentage, mean, standard deviation, chi-square, ANOVA, and correlation analysis were provided. The mean of BMI for the subjects was 22.6, the ratio of obese women (BMI $\geq$ 25) was 22.9%. The frequency of the reported circulation or respiratory related diseases was greater in the obese group compared to the normal weight ($20 \leq BMI \leq 25$) or the lean (BMI < 20) groups. The obese group had less awareness of obesity. Those who regard themselves obese had lower rates of satisfaction with their body shape and higher rates of interest in weight control. Approximately 65% of the subjects attempted weight reduction more than once. Subjects who were obese had the most undesirable dietary behavior. In particular, this group had the higher rates of rushed meals, overeating, meals while watching TV or newspapers, and snacking, and eating out. In analyzing the correlation of variables influencing obesity, there were positive correlations between obesity and overeating, obesity and the degree of stress. Correlations between obesity and satisfaction for life found to be negative. Moreover, stress had a positive correlation with obesity and overeating, and showed negative correlation with eating behavior. Consequently, stress seemed to induce undesirable eating behaviors and increase obesity. Of the demographic background variables, subjects who were obese tended to be older, had lower levels of education, higher rates of employment, longer period of marriage, the higher number of children, preschool children or children preparing for highschool or college, lower satisfaction with children and household life.