• Journal of the Korean Home Economics Association
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• v.36 no.1
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• pp.65-79
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• 1998

The purposes of this study were to establish a conceptual model on the woman's labor force participation and mobility in the labor market and to analyze the correlation between them. Included in those models were two independent variable sets. The one was related to household's financial conditions and the other was associated to the woman's role such as marital status, the number of children and the existence of young children. KHPS's national data was used and the Binomial Probit Model and Bivariate Probit Model were employed to analyse the effects of independent variables and the correlations between two dependent variables. The results of this study were as follows. The rate of women's labor force participation and the percentage of mobility willingness were 15.4% and 22.0%. Among the variables which have affected women's labor force participation were total wage income, non-wage income, expenditure on children's education and the subject judgement of their financial status. The existence of children under the age of 6 and marital status had significant influences on women's mobility willingness. The correlation between women's labor force participation and mobility willingness was very significant statistically. These findings clarified the status of woman as a secondary worker and pointed that a woman's economic activity would be subject to the woman's condition rather than her human capital.

• 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.

• Culinary science and hospitality research
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• v.21 no.5
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• pp.214-220
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• 2015

This study examines whether the two variables that encompass the number of rooms sold and occupancy, as independent variables, positively affect a total of revenue generated from the hotel industry. Using a simple regression analysis and a standard multiple regression analysis, the study evaluates if the two independent variables play an important role in influencing a total of revenue in the hotel industry. A finding tells that researchers need consider a removal of the occupancy rate for a better and accurate prediction. It is expected that this study will contribute to a theoretical development of a study group that focuses on what determinants enable to improve a financial performance in the hotel sector.

• The Korean Journal of Financial Management
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• v.21 no.2
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• pp.211-233
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• 2004

This purpose of paper is to propose a European option pricing formula when the rate of return follows the leptokurtic distribution instead of normal. This distribution explains well the volatility smile and furthermore the option prices calculated under the leptokurtic distribution are shown to be closer to the market prices than those of Black-Scholes model. We make an estimation of the implied volatility and kurtosis to verify the fitness of the pricing formula that we propose here.

• Journal of Society of Preventive Korean Medicine
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• v.12 no.3
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• pp.21-34
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• 2008

Objectives : This paper analysed the alternative methods of calculating conversion factor for oriental medicine in the National Health Insurance and estimated the conversion factor(reimbursing price level) of the oriental medical services, based on health insurance claims data and macro economic data. Methods : Comparing cost accounting method, SGR model, and index model to estimate conversion factor in the national health insurance, six empirical models were derived depending on the scope of revenue considered in financial indicators. Classifications of data and sources used in the analysis were identified as officially released by the government. Results and Conclusion : Cost accounting analysis and SGR model showed a two digit decrease in the physician fee schedule of oriental medical services in the national health insurance, while index model indicated a positive increase in the fee reimbursed. As expected, SGR model measured an overall trend of health expenditures rather than an individual financial status of medical institutions, and index model properly estimated the level of payments to oriental medical doctors. Upon a declining share of health expenditures on oriental medicine, a global budget system fixed to a flat rate of total budget could be an opportunity as well as a challenge.

• The Korean Journal of Applied Statistics
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• v.28 no.2
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• pp.189-200
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• 2015

Stationary bootstrapping is applied to a Lagrangian multiplier (LM) test to test market microstructure noise (MMN) in financial asset prices. A Monte-Carlo experiment shows that the bootstrapping method improves the size of the original LM test which has some size distortion for conditional heteroscedastic models. The proposed test is illustrated for real data sets like KOSPI index and Won-Dollar exchange rate.

• Journal of Korea Port Economic Association
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• v.31 no.2
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• pp.103-114
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• 2015

The exchange rate volatility during the global financial crisis in 2007-2009 led Korean shipbuilding companies to face currency risk. The use of foreign currency derivatives to take a risk in financial exposure affects them significantly. This research analyzes how the use of foreign currency derivatives affects the Korean shipbuilding industry in relation to its foreign sales by company type and over time, especially before and after the crisis period. It is based on statistical data presented by KOSHIPA and KOSIC in 2001-2014. The results of the analysis show that there is a significant relationship between foreign currency derivatives and foreign currency exposure for all firm sizes and years, but no relationship between them overtime.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.179-188
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• 2021

The purpose of this study is to examine the level of aggressive tax planning (ATP) among companies listed in the Access, Certainty, Efficiency (ACE) Market of Bursa Malaysia. On top of that, this study also investigates the relationship between company characteristics, ethnicity, and ATP. This study uses a balanced pooled sample of 105 firm years-observations for the period from 2014 to 2018. These samples were selected to provide new insight into this market and to explore the attitude of small firms toward ATP in Malaysia. The data was retrieved from DataStream and the downloaded annual reports. The finding shows that profitability and financial distress have a significant relationship with ATP. Other variables including size, capital intensity, inventory intensity, leverage, and ethnicity, were not determinants of ATP. The result in this study may assist the reader in understanding the nature of companies in the ACE market, particularly on its behavior toward tax planning. A strict requirement is needed to be adopted in the sample selection process, thus limiting the sample size. Further, since the previous study focused on large companies, the discussion of this paper will provide new insight into the nature of tax planning within the small- and medium-sized companies in Malaysia.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.727-739
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• 2021

Over the past decades, the Jordanian government has made great efforts to help poor women start small businesses by providing microcredit and facilitating financial services. Although in Jordan almost hundreds of thousands of women have the ability to contribute more fully to their economy, they are reluctant to do so. Women's participation in economic activities in 2016 was only 13.2%, while the unemployment rate for Jordanian women was 24.1%. The decline in women's participation in small business management has gradually become an important issue following the trial of more than 13,000 Jordanian women for non-payment of their micro-loans. This study aims to identify the factors that hinder Jordanian women from achieving job stability. In this qualitative study, a semi-structured interview method with sixteen open-ended questions was used to collect relevant data. A purposeful sampling method is also used to select participants. To analyze the data, this study used NVivo 11 software as a method. Using System Theory, this study showed that women's failure depends on three factors: women entrepreneurs, the environment around women entrepreneurs, and micro-financial institutions. Findings of this study suggest that strengthen women's entrepreneurship sustainability and minimize the risk of failure should be done through integrated strategies include these three domains.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.1
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• pp.647-654
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• 2021

This study examines the non-performing loans of rural banks and macroeconomic factors in Indonesia, including inflation, exchange rates, and interest rates. Theoretically, the existence of erratic macroeconomic conditions can affect the level of non-performing credit risk in rural credit banks in Indonesia. The effect of macroeconomic conditions on non-performing loans has a different response for each economic sector. The main objective of this study is to determine the effect of macroeconomic factors (inflation, exchange rates, and interest rates) and bank-specific factors (credit) on the Non-Performing Loans (NPL) of Rural Banks in Indonesia for the period from January 2015 to December 2018. This study uses a Vector Error Correction Model (VECM) estimation to determine the effect of independent variables consisting of macroeconomic factors and bank-specific factors. Based on the estimation results of the Vector Error Correction Model, three variables that have a positive and significant effect on long-term non-performing loans are credit, inflation, and interest rates. Meanwhile, in the short term, there are only two variables that have a positive and significant effect on non-performing loans, namely, credit and interest rates. Inflation and exchange rate variables have a negative and insignificant effect on bad credit in the short term.