• The Korean Journal of Financial Management
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• v.21 no.2
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• pp.153-181
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• 2004

This study is to explore whether the relationship among financial markets changed according to financial development. For this study, data analysis was conducted through analytic methods incorporated structural breaks such as Zivot and Andrews'(1992) unit root test Gregory and Hansen's(1996a,b) cointegration test, etc. In study results, it was found that dynamic relationship between stock price and interest rate was changed from negative to positive after the structural break(Oct 1999). It may be resulted from the fact that asset substitutability between stock and bond was increased since stock investment became popularized The negative relationship between stock price and exchange rate was reinforced after the structural break(the foreign currency crisis). Also, the negative relationship between interest rate and exchange rate was strengthened after the structural break(Oct. 1999).

• The Journal of Asian Finance, Economics and Business
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• v.6 no.3
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• pp.103-113
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• 2019

The effectiveness of monetary policy critically depends upon how well the transmission mechanism functions, so that the desired impact on output and inflation is achieved. The purpose of this paper is to study the transmission mechanism of monetary policy by analyzing the impact on inflation and output during multiple indicator regime (1998-99 to 2014) in an emerging economy-India. The Inflation Targeting Regime is also briefly outlined alongwith the impact on output and inflation. Using quarterly data for the period 1997 to 2017, the paper uses weighted average call money market rate as a proxy for the policy rate and evaluates the strength of the interest rate channel. We use a conventional Structural vector auto regression (SVAR) methodology to evaluate the efficacy and show the impluse response functions. Our results find that changes in the policy rate impact output growth steeply with a lag of about two quarters and the impact on inflation is maximized after three quarters. The study concludes that the monetary policy in India has a significant impact on output and inflation in the short-to-medium-run. After the policy shock, the fall in the output growth rate is of greater magnitude than the fall in inflation.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.1135-1142
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• 2021

This study aims to examine the factors that determine bond yields in infrastructure companies listed on the Indonesia Stock Exchange. The research sample used 31 bonds issued by the company during the 2015-2019 period. The data analysis method to estimate the determinant of bond yield uses multiple regression models. The results prove that the increase in the coupon rate causes bond yields to increase, while the inflation rate has the opposite effect of decreasing bond yield. Interest rate, exchange rate, duration, and bond rating variables cannot affect the bond yield. The results of this study imply that investors will be interested in investing in bonds with better yields if the company has to set a higher coupon rate, especially in economic conditions that experience low inflation rates. Interest rates and exchange rates as macroeconomic variables have not been considered by investors in purchasing bonds. Bond characteristic factors, namely, the duration and rating of the bonds, are considered less important factors in bond investment decisions because they are more oriented towards getting higher yields. Therefore, further research needs to be explored further related to the behavior of Indonesian bond investors who may have different characters from investors in other countries.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.48 no.3
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• pp.46-53
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• 2011

This paper proposes a SURF (Speeded Up Robust Features) based face recognition method which is one of typical interest point extraction algorithms. In general, SURF based object recognition is performed in interest point extraction and matching. In this paper, although, proposed method is employed not only in interest point extraction and matching, but also in face image rotation and interest point verification. image rotation is performed to increase the number of interest points and interest point verification is performed to find interest points which were matched correctly. Although proposed SURF based face recognition method requires more computation time than PCA based one, it shows better recognition rate than PCA algorithm. Through this experimental result, I confirmed that interest point extraction algorithm also can be adopted in face recognition.

• Journal of Korean Society of Forest Science
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• v.103 no.4
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• pp.696-702
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• 2014

This study was conducted to provide resonable price of timber that come out from certified forests for sustainable forest management. To accomplish this study objectives, we analyzed compound interest method, willingness to pay (WTP) and price sensitivity measurement (PSM) when buying certified pulp. In case of compound interest method, we used prime cost by average price per ha of each area (Hongcheon, Inje, Shinnam) and unit price that add up the pulp price and investment costs. Interest rate reflects 2 to 6% and investment period apply to 5 years. WTP and PSM data were collected from questionnaire survey. As a result, if apply to interest rate of 2% and investment period of 3 years, result values are quite similar to WTP of 5% and optimal pricing point of PSM. That also showed similar pattern in each area.

• The korean journal of orthodontics
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• v.47 no.4
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• pp.215-221
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• 2017

Objective: This questionnaire study aimed to estimate the overall frequencies of positive perception towards orthodontic treatment among adults categorized according to age, sex, and area of living, and to identify barriers or negative perceptions preventing them from receiving orthodontic treatment. Methods: The participants included 598 adults aged over 20 years (230 men and 368 women) who visited the Dental Hospital of Seoul St. Mary's Hospital. The participants' opinions regarding their consideration of receiving orthodontic treatment were recorded using a specially designed questionnaire. Results: The overall rate of positive perception towards orthodontic treatment was 48.5%. Compared to adults in their 20s (63.2%), those in their 40s and 50s had a lower percentage of interest in orthodontic treatment (46.2% and 45.1%, respectively; p < 0.05). Overall, women (52.2%) had a higher rate of interest than did men (42.6%; p < 0.05). The area of living had no effect on the percentage of interest. The order of priority of chief complaints differed according to age: protrusion for those in the 20s and 30s, and spacing for those in the 40s to 60s. Overall, the main reason for not seeking treatment was the treatment fee. Respondents aged over 40 considered themselves "too old" for orthodontic treatment. Conclusions: The middle-aged had a relatively high percentage of interest (above 45%) in orthodontic treatment. However, demographic characteristics were not significantly associated with the positive interest. These results highlight the need for educating the middle-aged about the limitations and possibilities of orthodontic treatment to increase its acceptance.

• International Area Studies Review
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• v.13 no.3
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• pp.385-412
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• 2009

This study first analyzes economical environment change (factor) of investment nation Japan and Japanese enterprise at the analysis of Japanese enterprise's over-seas expansion factor and influence. As a result of an analysis of the factor about Japanese enterprise's overseas expansion from 1990 to 1996 and from 1998 to 2006, commonly applied factors were Yen exchange rate, interest rates, wage, enterprise profit, facility investment, and consumption expenditure. Especially, as a result of regression analysis, a sudden change of "low interest rate" was main factor at Japanese enterprise's overseas expansion from 1990 to 1996, and Japan's "Yen ex-change rate" was drawn as an important factor from 1998 to 2006. That is, from 1990 to 1996, a shock by a sudden rise in Yen value could be viewed gradually accumulated and absorbed inside Japanese economy from 1998 to 2006. Whereas it could be said that Japanese enterprise's overseas expansion was accelerated under Japanese government's overseas supporting policy and "low interest rate" together with the factor in the rise of Yen value from 1998 to 2006.

• The Journal of the Korea Contents Association
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• v.18 no.4
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• pp.416-427
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• 2018

As the loan size of real estate PF is huge, its market ripple effect gets bigger when overdue occurs. Accordingly, the management of the delinquency rate and macroeconomic analysis are required. As the preceding research mainly proceeded with microeconomic analysis through the real estate PF data of individual banks to evaluate importance of list or analyzed core factors for delinquency, it lacked research on comprehensive real estate PF size. In order to overcome the limitations of such data, this research studied real estate PF delinquency rate of the entire market and effect relationship by the size. The research utilized the size of real estate PF loans, money supply, interest rate, consumer price index(CPI), and GDP data. Also, it applied the first model of VECM as linear relationship between at least two or more variables, following the result of co-integration test. As a result of Granger-causality test, the real estate PF loans delinquency rate is influenced by their loan size, and as a result of impulse response analysis, the interest rate is shown to be affecting delinquency rate the most. Interest rate could risesomeday and aggravate the delinquency rate of real estate PF. Also, risk exposure could be serious as the loan size increases.Therefore, the management of real estate PF delinquency rate requires continuous monitoring, tracking and observing issued loans from a macro point of view. The plans to prevent delinquency will be necessary.

• Asia-Pacific Journal of Business
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• v.14 no.2
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• pp.51-61
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• 2023

Purpose - Since COVID-19, the government's expansion of liquidity to stimulate the economy has resulted in an increase in private debt and an increase in asset prices of such as real estate and stocks. The recent sharp rise of the US Federal fund rate and tapering by the Fed have led to a fast rise in domestic interest rates, putting a heavy burden on the Korean economy, where the level of household debt is very high. Excessive household debt might have negative effects on the economy, such as shrinking consumption, economic recession, and deepening economic inequality. Therefore, now more than ever, it is necessary to identify the causes of the increase in household debt. Design/methodology/approach - Main methodology is regression analysis. Dependent variable is household loans from depository institutions. Independent variables are consumer price index, unemployment rate, household loan interest rate, housing sales price index, and composite stock price index. The sample periods are from 2017 to May 2022, comprising 72 months of data. The comparative analysis period before and after COVID-19 is from January 2017 to December 2019 for the pre-COVID-19 period, and from Jan 2020 to December 2022 for the post-COVID-19 period. Findings - Looking at the results of the regression analysis for the entire period, it was found that increases in the consumer price index, unemployment rate, and household loan interest rates decrease household loans, while increases in the housing sales price index increase household loans. Research implications or Originality - Household loans of depository institutions are mainly made up of high-credit and high-income borrowers with good repayment ability, so the risk of the financial system is low. As household loans are closely linked to the real estate market, the risk of household loan defaults may increase if real estate prices fall sharply.

• The Korean Journal of Community Living Science
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• v.28 no.4
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• pp.599-611
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• 2017

The purpose of this study is to investigate the effect of increased debt on the incidence of domestic violence over the two-year interval 2014-2016. To investigate Korean low-income households with economic hardships, we analyzed the 9th and the 11th waves of the Korea Welfare Panel Study, which is jointly sponsored by the Korea Institute for Health and Social Affairs and the Institute of Social welfare, Seoul National University. The study analysis was based on data from 2,786 households with less than 60% of median income. The main study findings are as follows. First, increases in economic hardships incur domestic violence for low-income households, while increases in low-interest debt decrease the incidence of the domestic violence when controlling for economic hardships. All other things being equal, economic hardship works as a stressor and low-interest debt works as an alleviator influencing domestic violence. Second, when low-income households are experiencing economic hardships, low-interest debt fails to work as an alleviator. Under this circumstance, high-interest debt actually acts as a stressor influencing domestic violence. Thus, we can speculate that use of debt under economic hardships will occur domestic violence for low-income households. This study differs from previous studies in that it examines the effect of increase in debt on the incidence of the domestic violence across different types of debt: low interest, high interest, and credit card. We can conclude that debt can function as a stressor or an alleviator for low-income households, depending on the interest rate and the households' financial situation.