• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.141-148
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• 2020

This paper analyzes factors affecting the debt maturity structure of enterprises listed on the Vietnam stock market. The panel data of research sample includes 549 non-financial listed enterprises on the Vietnam stock market from 2009 to 2019. The Generalized Least Square (GLS) tool is employed to address econometric issues and to improve the accuracy of the regression coefficients. In this research, debt maturity structure is the dependent variable. Capital structures, fixed assets, liquidity, firm size, asset maturity, profitability, corporate income tax, gross domestic product, inflation rate, credit growth scale are independent variables in the study. The model results show, that among the factors affecting the structure of debt maturity, the capital structure, asset structure, and firm size have the highest estimation coefficients, which shows that capital structure, asset structure, and firm size plays an important role in the decision-making process of debt maturity structure. The empirical results show that there are differences in the impact of these factors on the debt maturity structures in state-owned enterprises and non-state enterprises listed on the Vietnam stock market. The findings of this article are useful for business administrators, helping business managers make the right financial decisions to determine the target debt maturity structure in enterprises.

• 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 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.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.629-636
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• 2020

This study aims to identify and analyze the factors that affect foreign exchange reserves in Indonesia. We consider the variables of external debt, exchange rate, inflation, and exports as explanatory factors referring to previous studies. We apply the Autoregressive Distributed Lag approach to time-series data retrieved from the Central Bank of Indonesia (BI), the Central Bureau of Statistics (BPS), and International Monetary Funds (IMF) from January 2016 to December 2018. Our results show that foreign debt, exchange rates, inflation, and exports significantly affect the simultaneous fluctuation of foreign exchange reserves in Indonesia. Partially, foreign debt has a significant and positive effect on foreign exchange reserves. The exchange rate has a significant and negative effect on foreign exchange reserves in Indonesia. However, our findings explain that inflation does not significantly affect foreign exchange reserves in Indonesia, and exports have a significant and positive effect on foreign exchange reserves. This study is expected to be useful to policymakers in managing foreign exchange reserves, so the economy of Indonesia can grow sustainably. One of the exciting things in this study lies in the model that uses the Autoregressive Distributed Log, which can explain long-term relationships through adjusted coefficient and cointegration tests.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.10
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• pp.11-17
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• 2021

This study aims to know the contribution of external debt to Indonesia's economic growth. The data used a source from the Central Bank of Indonesia from 2011 to 2020. This empirical study uses a quantitative approach with Error Correction Model as the regression method. Government expenditure, government revenue, export, import, inflation, and exchange rate are control variables. The result of the descriptive statistic shows economic growth in Indonesia increased gradually from 2011 to 2020. The increase in economic growth occurred regardless of the contribution of external debt. It does, however, inform the public that Indonesia's economic system has seen successful investments. The result of the study is classified into long-term and short-term. External debt contributes to growth in the long term and has a significant impact. The study's findings will give Indonesia optimism that it can manage external debt as a source of domestic investment. This research may also persuade Indonesia to maintain its economic potency in the future. In the future, this research can be perfected, by adding a threshold level on the amount of Indonesia's external debt.

• Journal of Digital Convergence
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• v.12 no.6
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• pp.115-123
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• 2014

The first, this study analyzed empirically the effects of net profit on sales, total asset turnover and debt ratio on return on equity, the second, verified debt' s mediating effect on return on investment and return on equity and finally, tested the effect of adjusted debt ratio on return on equity in the small medium sized enterprises. Generally speaking, using debt has a positive effect on return on equity. Meanwhile, using debt accelerate return on equity through leverage effect in the quadric function curve model. Eventually, using debt has a positive and negative effects on return on equity. Accordingly, because of the debt' janus-faced reality, using debt is restricted within the level that operating cash flow(or return on asset) excess interest(or rate of interest).

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.43-52
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• 2020

This paper examines how macroeconomic variables, such as interest rate differences, inflation, exchange rates, economic growth and external debt growth, affect capital flight in the ASEAN-8 countries. We apply a panel data model with fixed effect estimation for the data for eight countries from the period 1994 to 2018. We use the residual approach used by the World Bank to measure the value of capital flight. The results show that the interest rate differences, exchange rates, economic growth and foreign debt growth had a positive and significant effect on outward capital flight. A further implication of this finding is that the interest rate differences, exchange rate, economic growth and foreign debt growth are factors that trigger an increase in capital outflow in the ASEAN-8 countries. Nonetheless, inflation rate is not considered to be the main factor influencing capital flight, as average inflation in the ASEAN-8 countries remains relatively stable. This paper will be beneficial for policymakers in the ASEAN-8 countries and encourage them to constantly pay attention to these four variables, as they significantly influence capital flight, whereas they can disregard the impact of the inflation variable that is not significant in influencing capital flight.

• The Journal of the Korea Contents Association
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• v.17 no.9
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• pp.396-405
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• 2017

Main purpose of this study is to analyze determinants of household debt among middle and old individuals aged between 32 and 76 that include Korean baby-boomers(born between 1955 and 1963), using a HAPC (Hierarchical Age-Period-Cohort) model and Korean Welfare Panel Study 2006-2016. This study includes 86,056 individuals. Research findings indicate that aging and period effects have statistically significant relationships with household debt levels, however, cohort effects including a baby-boomer generation do not. While household debt increases by 3,530,000 Korean won as age increases by one year, the rate of increase in household debt reduces as individual ages. In addition, employment and health status at the individual level have significant effects on household debt levels. The unemployed are more likely than the employed to have high household debt levels while unhealthy people tend than healthy people to have high household debt levels.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.2
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• pp.290-295
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• 2021

This paper analyzed the relationship between corporate debt financing and interest costs using micro firm-level data. We also analyzed the differences in this relationship by the year of 2008 financial crisis. We did not find a negative relationship between corporate interest costs and debt financing. Prior to the 2008 financial crisis, we found a negative relationship between corporate interest costs and debt financing. However, following the 2008 financial crisis, we found a positive relationship between corporate interest costs and debt financing. The impacts of the decrease in corporate interest costs on the increase in corporate debt financing are not significant in the Korean economy. After the 2008 financial crisis, the decrease in corporate interest costs is followed by a decrease in corporate debt financing.

• The Journal of Asian Finance, Economics and Business
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• v.5 no.1
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• pp.5-9
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• 2018

Many developing countries have attempted to depreciate their currencies in order to make their products cheaper, stimulate exports, shift aggregate demand to the right, and increase aggregate output. However, currency depreciation tends to increase import prices, raise domestic inflation, reduce capital inflows, and shift aggregate supply to the left. The net impact is unclear. The paper incorporates the monetary policy function in the model, which is determined by the inflation gap, the output gap, the real effective exchange rate, and the world real interest rate. Applying an extended IS-MP-AS model (Romer, 2000), the paper finds that real depreciation raised real GDP during 1997.Q1-2005.Q3 whereas real appreciation increased real GDP during 2005.Q4-2017.Q2. In addition, a higher government debt-to-GDP ratio, a lower U.S. real federal funds rate, a higher real stock price, a lower real oil price or a lower expected inflation rate would help increase real GDP. Hence, real depreciation or real appreciation may increase or reduce aggregate output, depending upon the level of economic development. Although expansionary fiscal policy is effective in stimulating the economy, caution needs to be exercised as there may be a debt threshold beyond which a further increase in the debt-to-GDO ratio would hurt economic growth.