• Asia-Pacific Journal of Business
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• v.11 no.4
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• pp.189-203
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• 2020

Purpose - This study aims in analyzing the dynamic relationship between household loans and housing prices according to the characteristics of depository institutions after the financial crisis, identifying the recent trends between them, and making policy suggestions for stabilizing house prices. Design/methodology/approach - The monthly data used in this study are household loans, household loan interest rates, and housing prices ranging from January 2012 to May 2020, and came from ECOS of the Bank of Korea and Liiv-on of Kookmin Bank. This study used vector auto-regression, generalized impulse response function, and forecast error variance decomposition with the data so as to yield analysis results. Findings - The analysis of this study no more shows that the household loan interest rates in both deposit banks and non-bank deposit institutions had statistically significant effects on housing prices. Also, unlike the previous studies, there was statistically significant bi-directional causality between housing prices and household loans in neither deposit banks nor non-bank deposit institutions. Rather, it was found that there is a unidirectional causality from housing prices to household loans in deposit banks, which is considered that housing prices have one-sided effects on household loans due to the overheated housing market after the financial crisis. Research implications or Originality - As a result, Korea's housing market is closely related to deposit banks, and housing prices are acting as more dominant information variables than interest rates or loans under the long-term low interest rate trend. Therefore, in order to stabilize housing prices, the housing supply must be continuously made so that everyone can enjoy housing services equally. In addition, the expansion and reinforcement of the social security net should be realized systematically so as to stop households from being troubled with the housing price decline.

• 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.

• Journal of Venture Innovation
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• v.2 no.2
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• pp.117-126
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• 2019

This study conducted correlation analysis and multiple regression analysis using financial statements, loan structure, ROA and ROA volatility of domestic commercial banks, regional banks and special banks for the past five years (2012 ~ 2016). The result is as follows. First, as a result of correlation analysis, bank's ROA is positively related to household loans and SME loans, but it is negatively correlated with the ratio of loans to large companies, sector bias, and loan loss provision ratio. Second, ROA volatility was negatively related to household loans and SME loans, but it was positively correlated with large corporate loans, sector bias ratio, and loan loss provision ratio. Third, as a result of the regression analysis, the variables that have a statistically significant effect on the ROA volatility of banks were household loans, SME loans, and large enterprise loans. From these empirical results, special banks with high volatility in profits need to diversify loan types and sectors in order to achieve business performance outside of policy finance. and Especially, Suhyup Bank and Nonghyup Bank, which have a large commercial role, have a large size per unit by focusing on short-term profit and Rather than focusing on large companies or large loans that are easy to obtain financial information, it is necessary to focus management capabilities on household loans and SME loans by developing capabilities such as screening techniques.

• The Journal of Industrial Distribution & Business
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• v.12 no.2
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• pp.41-52
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• 2021

Purpose: This study aims to provide implications for the government's housing supply policy by analyzing the factors that determine the type of real estate holding and household debt. This study started from the awareness that the determinants of household debt differ depending on the type of real estate holding. Research design, data and methodology: Real estate ownership type was classified and analyzed into 4 models: model 1 (1 household 1 house and self-resident), model 2 (1 household multiple real estate ownership and self-resident), model 3 (1 household 1 house and rent residence), model 4 (1 household holds a large number of real estate and rent residence). The analysis method used multiple regression analysis. The dependent variable was household total debt. As independent variables, household debt, annual gross household income, financial assets, real estate net assets, annual repayment, demographic & residential characteristics were used. Results: 1) Model 4 has the highest household debt and the highest gross income, Model 2 has the most real estate mortgage loans and real estate net asset, and Model 1 has the highest real estate mortgage payments. 2) The positive factor of common household debt determinants is real estate net assets, and the negative factor is financial assets. 3) It was the net assets of real estate that acted as a positive factor in common for the four models. In other words, the more financial assets, the less household debt. It was analyzed that the more net assets of real estate, the more household debt. The annual repayment of financial liabilities had no influence on household debt, while the annual repayment of loan liabilities and household debt had a positive relationship. Conclusions: 1) It is necessary to introduce benefits and systems that can increase the proportion of household financial asset. Specific alternatives include tax benefits and reduced fees for financial asset investment. 2) In the case where a homeless person prepares one house for one household, it is necessary to prepare various support measures according to the income level. The specific alternative is to give additional points for pre-sale or apply an interest rate cut incentive for mortgage loans.

• The Journal of the Convergence on Culture Technology
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• v.8 no.4
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• pp.83-89
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• 2022

This study analyzed the effect of bank loans on housing prices, classified bank loans into bank total loans, household loans, and real estate mortgage loans, and analyzed housing prices by dividing them into national-level, regional-level, and Seoul-level housing prices. The main analysis results are as follows. First, it was found that the increase in total bank loans significantly increased housing prices across the national-level, regional-level and Seoul-level. Second, it was found that household loans had a positive effect on regional-level housing prices, but were not statistically significant. In addition, the effect of bank loans on regional-level housing prices was found to be relatively small compared to the effect on national-level housing prices. Third, it was found that there was a difference in the effect of bank loans on regional-level housing prices and Seoul-level housing prices. Fourth, inflation and bank total loans had a significant positive effect on regional-level housing prices with a lag in the first quarter, and short-term interest rates had a significant negative effect on Seoul-level housing prices with a lag in the first quarter. Overall, it was found that the effect of bank loans on housing prices had a positive effect about twice that of Seoul-level rather than regional-level.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.5
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• pp.119-130
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• 2020

The study seeks to evaluate the impacts of three types of credit - formal, semi-formal, and informal credits - on the well-being of households in Vietnam's rural areas. Based on data from the Vietnam Household Living Standard Surveys in 2014 and 2016, the research uses the instrumental variable fixed-effect models to estimate the effects of three kinds of credit on household's per capita income and expenditure. There are some significant findings. First, in rural areas, formal credit is the most popular source with stable and cheap borrowing costs. Informal credit is a complement to formal credit to meet urgent needs. Funding agriculture activities is the most commonly cited purpose of borrowing, followed by purchasing assets. The highest misuse rate belongs to the group of loans for agriculture production. Second, the results show that credit helps smoothen consumption rather than generate income for rural households. Three types of credit have insignificant or negative effects on household's per capita income. Formal loans significantly improve total expenditure and spending on healthcare and education. Informal and semi-formal credits show a little influence on consumption. Informal loans have a significantly positive effect on healthcare expenditure. In contrast, having semi-formal loans tends to decrease spending on foods.

• The Journal of Fisheries Business Administration
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• v.42 no.3
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• pp.95-107
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• 2011

The Comprehensive Measures for a soft landing of Household Debts affecting the credit service of Fisheries Cooperative (FC) have been known to the public in June 2011. Its essential points are as follows: 1) Abolition of Tax-free Regulation, 2) Set limit of loans, etc. per person, 3) Introduce leverage regulations for credit-specialized financial sector i. e. FC, 4) Gradually strengthen loan-loss reserve requirements for card-loan and other credit loans. However, the Financial Policy Measures seem to pay no attention to the Cooperative's Values, Principles and Identity. In this paper, emphasis is be placed on the task of the regulators i. e. Financial Services Commission and Financial Supervice Service to lift the Financial Measures negatively affecting the operation of fund of FCs, and on the establishment of Cooperative identity in order to further develop FCs.

• Journal of the Korean housing association
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• v.26 no.1
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• pp.109-118
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• 2015

The purpose of this research is to examine generational distinctions of housing investment and household wealth for two different age cohorts - 'baby-boomers' and 'eco-boomers'. In so doing, national survey data of two different periods were analyzed and the primary results are summarized as follows; aggregate assets of both generations have risen, and the rising household debt for baby-boomers was related to loans for living expenses while eco-boomer's debt was ascribed to home-buying loans. In the midst of economic slowdown, the age cohorts had conservative asset allocation in preference for risk-averting investment like savings. The main purpose of saving and investment was distinctive across the groups? retirement for baby-boomers and home purchase for eco-boomers. Both groups prioritized reduction of household liabilities and also were cautious on investing in real estate. Still home-buying was considered to be an important driver for asset accumulation. While baby-boomers were unwilling to dispose any form of owned real estate, eco-boomers found it challenging to take on a long-term investment like home-buying, especially in economic uncertainties. Rather the young generation would diversify asset allocation with better-returning investment commodities like stocks, bonds and derivatives.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2011.04a
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• pp.296-300
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• 2011

It's well known that housing is one of the largest holdings in household wealth and at the same time the majority of households highly concentrate on it for their wealth accumulation. Coupled with a low interest rate and increasing housing price, the rationale is conspicuous and the propensity to debt-financed consumption becomes strengthened. This research was to examine the risk of home financing. In doing so, the study utilized several secondary data to identify the characteristics of households who finance loans for home buying in three regions of the nation - so-called Bubble 7, Seoul Metropolitan Area, and others. Based on the 2009 KB survey, the major findings were as follows: the majority of the studied households in Seoul Metropolitan Area who owned a house lived in rental housing, housing accounted for 89% of the household wealth, and home loans taken on were a ballon payment amortized for a short-term period (5 years) with an adjustable interest rate. In addition, the payment method most of the households depend on is income. The financing mechanism fueled debt load of the households, and further they are financially very vulnerable to such factors as increase in interest rate, unemployment and market downturn. In the absence of understanding the financial system, the consumption behavior leads to house-poor, so that financial accountability and ethics are addressed while the intervention of the government in home financing system should be more cautious but stimulate financial soundness in household wealth accumulation.

• The Korean Journal of Applied Statistics
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• v.19 no.3
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• pp.407-419
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• 2006

In this paper, we analyze household overdue loans in Korea which has been causing serious social and economical problems. We consider customers of Bank A in Korea and focus on overdue cash services which have been snowballing in the past few years. From analysis of overdue loans, one can predict possible delays for current customers as well as build a credit evaluation and risk management system for future customers. As a statistical analytical tool, we propose a two-stage Generalized Linear regression Model (GLM) which assumes a logistic model for presence/non-presence of overdue and a gamma model for the amount of overdue in the case of overdue. We perform goodness of fit test for the two-stage model and select significant explanatory variables in each stage of the model. It turns out that age, the amount of credit loans from other financial companies, the amount of cash service from other companies, debit balance, the average amount of cash service, and net profit are important explanatory variables relevant to overdue credit card cash service in Korea.