• Journal of Distribution Science
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• v.16 no.2
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• pp.83-88
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• 2018

Purpose - For distribution corporate, the method of recognizing sales revenue may be different depending on the type of distribution transaction. Until the change in accounting standards for revenue recognition was made in 2002, the distribution corporate recognized the full amount of sales of goods regardless of the type of transaction. However, in accordance with accounting standards for revenue recognition, which began to be applied in 2003, distribution corporate differ in sales revenue recognition by transaction type. The Purpose of this study is to analyze the impact of sales revenue on the corporate value after the change of the revenue recognition accounting standards. Research design, data, and methodology - We selected a comprehensive wholesale and retail corporate listed on Korea Exchange. The research model extends the Ohlson(1995) model and regresses whether sales revenue affecting the corporate value is discriminatory value relevance between the corporate affected by changes in accounting standards for revenue recognition and those not. Results - The results of the analysis are as follows. First, The average value of stock price, net asset per share, and earnings per share are all higher than those before the change of accounting standards for revenue recognition. However, the average value of sales per share is lower than that before the change of accounting standards for revenue recognition. Second, the relationship between corporate value and net asset per share, earnings per share and sales per share, the coefficient of net asset per share, earnings per share and sales per share are all statistically significant positive value. Therefore, in explaining corporate value, besides net asset per share and earnings per share, sales per share provides additional information. And the coefficient of interaction variable between accounting standard change and sales per share is a statistically significant positive value. This result indicating that after the change of the revenue recognition accounting standards the usefulness of sales revenue has increased. Conclusions - The change in accounting standards for revenue recognition led to a decrease in distribution corporate sales revenue but the higher the relevance of the corporate value of the sales revenue information. These results shows that the change of accounting standards that reflects the transaction type of retailers was a revision to increase the value relevance of sales revenue in valuation of corporate value.

• Health Policy and Management
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• v.18 no.2
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• pp.19-38
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• 2008

Financial ratios are key indicators of an organization's financial and business conditions. Among various financial indicators, profitability, financial structure, financial activity and liquidity ratios are frequently used and analyzed. Using the structural equation modeling(SEM) technique, this study examines the structural causal relationships among key financial indicators. Data for this study are taken from complete financial statements from 142 hospitals that passed the standardization audit undertaken by the Korean Hospital Association from 1998 to 2001 for the purpose of accrediting teaching hospitals. In order to improve comparability, ratio values are standardized using the Blom's normal distribution. The final model of the SEM has four latent constructs: financial activity(total asset turnover, fixed asset turnover), liquidity(current ratio, quick ratio, collection period), financial structure(total debt to equity, long-term debt to equity, fixed assets to fund balance), and profitability(return on assets, normal profit to total assets, operating margin to gross revenue, normal profit to gross revenue). While examining several model fit indices(Chi-square (df) = 178.661 (40), likelihood ratio=4.467, RMR=.11, GFI=.849, RMSEA=.157), the final SEM we employed shows a relatively good fit. After examining the path coefficient of the constructs, the financial structure of the hospital affects the hospital's profitability in a statistically significant way. A hospital which utilizes its liabilities, more specifically fixed liabilities, and makes a stable investment decision for fixed assets was found to have a higher profitability than other hospitals. Then, the standard path coefficients were examined to directly compare the influence of variables. It was found that there were no statistically significant path coefficients among constructs. When it comes to variables, however, statistically significant relationships were found. between. financial activity and. fixed. asset turnover, and between profitability and normal profit to gross revenue. These results show that the observed variables of fixed asset turnover and normal profit to gross revenue can be used as indicators representing financial activity and profitability.

• Korean Journal of Social Welfare
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• v.66 no.1
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• pp.35-59
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• 2014

The purpose of this study is to investigate determinants of the saving behaviors, perceptions of economic situation and attitudes on the program of the Individual Development Account program participants in Korea. Data used for this article was the survey on the participants of 'Seoul Hope-plus Saving Account Program' implemented by Seoul Welfare Foundation for 3 years. In order to consider variances within-individual and between-individuals, Hierarchical Linear model is used for this study. The results are as follows. First, In demographic factors, disability, gender, education level, marriage status are significant factors on the effectiveness of the program. Second, the participation on the program has positive effects on the conception on the living standard and economic status of the participants. However, total amount of savings excluding savings on 'Hope plus' has decreased. The household income is positively related with the amount of savings. Thus, it is necessary to consider individuals' socio-demographic factors to planning the asset-based program.

• KDI Journal of Economic Policy
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• v.36 no.3
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• pp.25-60
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• 2014

We examine whether the observed negative relations between stock returns and inflation and between housing returns and inflation can be explained by the inflation illusion hypothesis. We identify the mispricing component in asset prices (i.e., stock prices and housing prices) based on present value models, linear and loglinear models, and we then investigate whether inflation can explain the mispricing component using the data from three countries (the U.S., the U.K., and Korea). When we take into account the potential asymmetric effect of positive and negative inflation on the mispricing components in asset prices, which is an important implication of the inflation illusion hypothesis, we find little evidence for the inflation illusion hypothesis in that both positive and negative inflation rates do not have a negative effect on the mispricing components. Instead, we find that behavioral factors such as consumer sentiments contribute to the mispricing of asset prices.

• Korean Journal of Social Welfare
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• v.69 no.2
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• pp.247-269
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• 2017

This study aims to analyze multiple mediating effects of asset and self-esteem on the relationship between disability of household head and life satisfaction. This study used 9th panel data of KoWePS(Korean Welfare Panel Study) and employed path analysis with A-MOS. Research findings of this study are as follows: First, disability of household head had a negative effect on life satisfaction, total assets, and self-esteem. Second, we found not full but partial mediating effects of assets on the relationship between disability and life satisfaction. Third, similarly we found not full but partial mediating effects of self-esteem on the relationship between disability and life satisfaction. Finally, we found multiple partial mediating effects of assets and self-esteem on the relationships between disability and life satisfaction. The findings of this study suggest that financial education as well as asset management targeting persons with disability are necessary and very helpful to sustain their life satisfaction. In addition, we need to think about asset-building programs targeting persons with disability.

• Journal of KIISE:Computing Practices and Letters
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• v.11 no.5
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• pp.458-463
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• 2005

The total asset management system is used for banks or financial institutions for the management of trusteed assets or own assets and it is divided into three systems: the front-office system, the middle-office system and the back-office system by its business areas and functionalities. This kind of asset management system is a huge and complex system handling large data and various financial products, and requires professional knowledges like accounting, financial product specific knowledge, compliance and regulations, etc. It also performs high level computation for NAV calculation and risk measurement on every day Therefore, it needs absolute stability, extendability and efficiency and should handle the frequent change of regulation and products and connectivity with outdoor institutions. In this paper, we report our successful development of such a system and discuss issues regarding its efficient system design and system construction.

• Asia-Pacific Journal of Business
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• v.11 no.3
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• pp.199-215
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• 2020

Purpose - This article tries to test if the conditional consumption capital asset pricing model (CCAPM) with bank credit for household as a conditional variable can explain the cross-sectional variation of stock returns in Korea. The performance of conditional CCAPM is compared to that of multifactor asset pricing models based on Arbitrage Pricing Theory. Design/methodology/approach - This paper extends the simple CCAPM to the conditional version of CCAPM by using bank credit for household as conditioning information. By employing KOSPI and KOSDAQ stocks as test assets from the second quarter of 2003 to the first quarter of 2018, this paper estimates risk premiums of conditional CCAPM and a variety of multifactor linear models such as Fama-French three and five-factor models. The significance of risk factors and the adjusted coefficient of determination are the basis for the comparison in models' performances. Findings - First, the paper finds that conditional CCAPM with bank credit performs as well as the multifactor linear models from Arbitrage Pricing theory on 25 test assets sorted by size and book-to-market. When using long-term consumption growth, the conditional CCAPM explains the cross-sectional variation of stock returns far better than multifactor models. Not only that, although the performances of multifactor models decrease on 75 test assets, conditional CCAPM's performance is well maintained. Research implications or Originality - This paper proposes bank credit for household as a conditional variable for CCAPM. This enables CCAPM, one of the most famous economic asset pricing models, to conform with the empirical data. In light of this, we can now explain the cross-sectional variation of stock returns from an economic perspective: Asset's riskiness is determined by its correlation with consumption growth conditional on bank credit for household.

• International Area Studies Review
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• v.15 no.3
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• pp.429-449
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• 2011

This study investigated the determinants of the foreign direct investment (FDI) by the Korean firms. We focused on types of FDI such as market-seeking, efficiency-seeking, strategic asset-seeking, resource seeking investment and institutional distance including economic distance, political distance and cultural distance which were affecting Korean FDI decision. We tested our hypotheses using Korean FDI data collected between 1980 and 2010. The result showed that Korean FDI to be associated with market-seeking, efficiency-seeking, strategic asset-seeking investment, and institutional distance such as economic distance. We also examined Korean FDI before and after IMF, and the results indicated that before IMF, Korean FDI was associated with market-seeking and strategic asset-seeking investment. However, after IMF, Korean FDI was associated with market-seeking, efficiency-seeking, strategic asset-seeking investment, and institutional distance such as economic distance.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.605-613
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• 2020

In unfrictionless markets, one measure of asset pricing is its height of friction. This study develops a three-factor model by loosening the assumptions about stocks without friction, without risk, and perfectly liquid. Friction is used as an indicator of transaction costs to be included in the model as a variable that will reduce individual profits. This approach is used to estimate return, beta and other variable for firms listed on the Indonesian Stock Exchange (IDX). To test the efficacy of friction-adjusted three-factor model, we use intraday data from July 2016 to October 2018. The sample includes all listed firms; intraday data chosen purposively from regular market are sorted by capitalization, which represents each tick size from the biggest to smallest. We run 3,065,835 intraday data of asking price, bid price, and trading price to get proportional quoted half-spread and proportional effective half-spread. We find evidence of adjusted friction on the three-factor model. High/low trading friction will cause a significant/insignificant return difference before and after adjustment. The difference in average beta that reflects market risk is able to explain the existence of trading friction, while the difference between SMB and HML in all observation periods cannot explain returns and the existence of trading friction.

• KEPCO Journal on Electric Power and Energy
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• v.3 no.1
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• pp.23-28
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• 2017

The life management technology becomes important as the failure risk of the aged power transformers increases. Asset management technology, therefore, has been developed to evaluate the remaining life and build replacement strategies of power transformers, which enables an optimal investment decisions based on reliability and economic feasibility. The remaining life assessment technology uses data related to such as installation, operation, maintenance, refurbishment, and disposed history of power transformers. The optimal investment decision additionally uses data related to failure and social costs. To develop the asset management technology in power transformers, it is important to find deterioration parameters directly indicating degradation of power transformers. In this study, 110,000 DGA data during the past 35 years have been analyzed in order to find the deterioration parameters related to the degradation of power transformers. The alarm rates of combustible gases ($H_2$, $C_2H_2$, $C_2H_4$, $CH_4$, $C_2H_6$), TCG CO, and $CO_2$ were analyzed as deterioration parameters. The origin of the gas was discussed in connection with discharge, overheating and insulation aging.