• The Journal of Asian Finance, Economics and Business
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• v.8 no.8
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• pp.1-12
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• 2021

Altman's Z-score is used to measure a company's financial health and to predict the probability that a company will collapse within 2 years. It is proven to be very accurate to forecast bankruptcy in a wide variety of contexts and markets. The goal of this study is to use Altman's Z-score model to forecast insolvency in non-financial publicly traded enterprises. Non-financial firms are a significant industry in Malaysia, and current trends of consolidation and long-term government subsidies make assessing the financial health of such businesses critical not just for the owners, but also for other stakeholders. The sample of this study includes 84 listed companies in the Kuala Lumpur Stock Exchange. Of the 84 companies, 52 are considered high risk, and 32 are considered low-risk companies. Secondary data for the analysis was gathered from chosen companies' financial reports. The findings of this study show that the Altman model may be used to forecast a company's financial collapse. It dispelled any reservations about the model's legitimacy and the utility of applying it to predict the likelihood of bankruptcy in a company. The findings of this study have significant consequences for investors, creditors, and corporate management. Portfolio managers may make better selections by not investing in companies that have proved to be in danger of failing if they understand the variables that contribute to corporate distress.

• Journal of Distribution Science
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• v.13 no.5
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• pp.71-82
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• 2015

Purpose - The purpose of this study is to investigate risk price implied from the pricing kernel of Korean stock distribution market. Recently, it is considered that the quantitative easing programs of major developed countries are contributing to a reduction in global uncertainty caused by the 2007~2009 financial crisis. If true, the risk premium as compensation for global systemic risk or economic uncertainty should show a decrease. We examine whether the risk price in the Korean stock distribution market has declined in recent years, and attempt to provide practical implications for investors to manage their portfolios more efficiently, as well as academic implications. Research design, data and methodology - To estimate the risk price, we adopt a non-parametric method; the minimum norm pricing kernel method under the LOP (Law of One Price) constraint. For the estimation, we use 17 industry sorted portfolios provided by the KRX (Korea Exchange). Additionally, the monthly returns of the 17 industry sorted portfolios, from July 2000 to June 2014, are utilized as data samples. We set 120 months (10 years) as the estimation window, and estimate the risk prices from July 2010 to June 2014 by month. Moreover, we analyze correlation between any of the two industry portfolios within the 17 industry portfolios to suggest further economic implications of the risk price we estimate. Results - According to our results, the risk price in the Korean stock distribution market shows a decline over the period of July 2010 to June 2014 with statistical significance. During the period of the declining risk price, the average correlation level between any of the two industry portfolios also shows a decrease, whereas the standard deviation of the average correlation shows an increase. The results imply that the amount of systematic risk in the Korea stock distribution market has decreased, whereas the amount of industry-specific risk has increased. It is one of the well known empirical results that correlation and uncertainty are positively correlated, therefore, the declining correlation may be the result of decreased global economic uncertainty. Meanwhile, less asset correlation enables investors to build portfolios with less systematic risk, therefore the investors require lower risk premiums for the efficient portfolio, resulting in the declining risk price. Conclusions - Our results may provide evidence of reduction in global systemic risk or economic uncertainty in the Korean stock distribution market. However, to defend the argument, further analysis should be done. For instance, the change of global uncertainty could be measured with funding costs in the global money market; subsequently, the relation between global uncertainty and the price of risk might be directly observable. In addition, as time goes by, observations of the risk price could be extended, enabling us to confirm the relation between the global uncertainty and the effect of quantitative easing. These topics are beyond our scope here, therefore we reserve them for future research.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.893-902
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• 2021

The paper examines the impact of corporate governance (CG), on dividend policy (DP) of enterprises in Vietnam. The paper studies the impact of CG on DP of businesses listed on Vietnam's stock exchange in the period 2008-2018 with 2,937 observations. The data of these companies is collected from the financial statements of businesses and Vietstock data sets, as well as aggregated from the data published on some reputable securities websites. The study used GLS regression method for data collected at listed companies in Vietnam in the period of 2008-2018. The research results have found that CG, the chairman of the board of directors (BOD), and the managing director have a negative effect on the DP. Specifically, companies with strong BODs tend to pay low dividends. At the same time, research shows that factors such as profitability, financial leverage, firm size, and investment opportunities affect DP. This result underscores the importance of corporate governance (both internal and external) to the income distribution decision and provides policy implications for investors and company executives. The study finds solid evidence that alternative theory explains better the relationship between corporate governance and dividend policy. Accordingly, companies with weak corporate governance will pay more dividends.

• International Journal of Costume and Fashion
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• v.17 no.1
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• pp.17-28
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• 2017

The objective of this study is to investigate the effects of advertising expenses of fashion companies on sales from a financial viewpoint. To do so, the advertising expenses and the sales of 194 manufacturing and distribution companies in the fashion industry, as per the income statements posted by the individual companies, were analyzed. The results are as follows. First, there was a statistically significant correlation between advertising expenses and sales. The higher the advertising expenses, the higher the sales. Second, there was no statistically significant differences between companies with different sizes of sales. Third, the effects of advertising expenses on sales of fashion companies were statistically significant. The higher the increase of the ratio of advertising expenses, the higher the increase of the ratio of sales, and vice versa. This study differs from others in that it uses financial data, which has been neglected in previous studies regarding the fashion industry, to analyze the relationship between advertisement and sales. It will lend help to fashion companies seeking to rationally manage advertising expenses and come up with effective advertising policies.

• Journal of Distribution Science
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• v.20 no.8
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• pp.69-79
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• 2022

Purpose: In the context of the emergence of industry 4.0, using mobile phones as a modern distribution channel to execute financial services is a significant solution for commercial banks' retail services and a gateway to promote financial inclusion and market development. Despite that service quality and customer satisfaction are two diverse notions and closely related to each other in the service sector, there is hardly a research which empirically examines the impacts of each dimensions of mobile banking service quality and customer satisfaction. Research design, data and methodology: This study first employs in-depth interview to explore various aspects of mobile banking service quality dimensions, including empathy, responsiveness, tangibility, assurance, and reliability that serves to develop measurement scales and hypothesis development. A quantitative survey is followed to collect data from 265 Vietnamese bank customers to empirically test the conceptual model. Resutls: Our findings indicate that more human-related factors including empathy, assurance, and responsiveness show the strongest impacts on customer satisfaction with mobile banking service while tangibility and reliability, as technical aspects, are less influential factors. Conclusions: Finally, some crucial implications are drawn for the banks to manage consumer behavior in mobile banking.

• The Journal of Asian Finance, Economics and Business
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• v.10 no.1
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• pp.209-221
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• 2023

A significant body of prior research on performance management systems (PMSs) either explains the components and the design of the systems or investigates the link between particular system/s and organizational functions, capabilities, or performance. In contrast, this study investigates the comprehensive use of PMSs and relates them to corporate financial and non-financial performance. Further, this study examines whether the association between PMSs and performance varies between industries or is moderated by the size of the company. Data was collected using a questionnaire that was sent to companies from different industries operating in Riyadh province, where the most important businesses in Saudi Arabia are located. A total of 152 usable responses were received. The results of this study revealed that companies use a variety of PMSs at a balanced level. The extent of each category of PMS use is associated with the extent of other PMS categories' use. However, the larger the company, the more PMSs it uses. Importantly, the results showed a positive and significant association between PMSs' extent of use and both financial and non-financial performance. This association was minimally moderated by the company size and industry for specific categories of PMSs and performance.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.9
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• pp.39-49
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• 2020

This study empirically examines herd behavior for fast moving consumer goods (FMCG) sector stocks under varied market return conditions and the period during the global financial crisis and its aftermath. We examine the sample of stocks trading on the Nifty FMCG Index of the Indian equity market from January 2008 up to December 2018 using the dispersion measure of cross sectional absolute deviation and examine its relationship with the market return to explore herd phenomenon. Quantile regression estimate is used and the results of the study validate rational asset pricing models as the sector does not display herding. In contrast, anti-herd behavior at lower and median quantile values is observed. A possible reason can be the non-cyclical nature of the industry where investors rely more on the fundamentals rather than crowd chasing. We also findthe absence of herd phenomenon during the market asymmetries of bull and bear phases, extreme movements, the period of the global financial crisis, and afterward. We further examine herding under the impact of the information technology (IT) industry and conclude that significant return movements in IT sector impact dispersions in the FMCG industry. Also, there is a co-varying risk between the two sectors confirming the spillover in an integrated market.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.10
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• pp.73-83
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• 2022

On the underpinning theory of the Resource Based Theory, this research examines the impact of corporate social responsibility and green marketing strategy on business performance with the moderating role balanced scorecard. Corporate social responsibility concentrates on related to government, the environment, customers, and employees. Green marketing strategy concentrates on approaches in terms of green products, green prices, green places, and green promotion. Business performance is measured by groups of indicators financial, and non-financial. The moderating role balanced the scorecard at the financial, customer, process, learning, and growth level. Research results with survey data from 419 managers at different food enterprises in Ho Chi Minh City processed through the structural analysis method, showed that corporate social responsibility has the strongest positive impact on business performance, followed by the green marketing strategy as the second strong positive impact on the business performance and results also showed that the balanced scorecard moderating role increases the level of the strong positive impact of the above relationship. Besides, it also showed the difference in the demographic control variables. Based on the findings, some implications are drawn to help the managers of enterprises improve the moderating role balanced scorecard when implementing corporate social responsibility and green marketing strategies thereby contributing to increasing business performance.

• The Journal of the Korea Contents Association
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• v.8 no.7
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• pp.224-232
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• 2008

Sport industry creates value-added by production and distribution of product or service related with sports or sports. Professional sports will lead to major area of sport service industry in the future. The purpose of study is to analyze financial condition and management performance by using financial statement(2005-2007) of korean professional soccer citizen teams. The analysis of financial condition and management performance is executed by financial ratio analysis method. The content of this study involve comparison with standardization ratio and financial ratios among professional soccer citizen teams. The results of this study are as follows. First, liquidity ratio measured by current ratio and quick ratio was high with compared to standardization ratio. Second, leverage ratio measured by debt ratio was very high. Third, activity ratio was good condition. Finally, profitability ratio was very low having minus ratio generally.

• Journal of Distribution Science
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• v.12 no.11
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• pp.77-83
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• 2014

Purpose - The National Agricultural Cooperative Federation of Korea and National Fisheries Cooperative Federation of Korea have prosecuted both financial and retail businesses. As cooperatives are public institutions and receive government support, their sound management is required by the Financial Supervisory Service in Korea. This is mainly managed by CAEL, which is changed by CAMEL. However, NFFC's business section, managing the finance and retail businesses, is unified and evaluated; the CAEL model has an insufficient classification to evaluate the retail industry. First, there is discrimination power as regards CAEL. Although the retail business sector union can receive a higher rating on a CAEL model, defaults have often been reported. Therefore, a default prediction model is needed to support a CAEL model. As we have the default prediction model using a subdivision of indexes and statistical methods, it can be useful to have a prevention function through the estimation of the retail sector's default probability. Second, separating the difference between the finance and retail business sectors is necessary. Their businesses have different characteristics. Based on various management indexes that have been systematically managed by the National Fisheries Cooperative Federation of Korea, our model predicts retail default, and is better than the CAEL model in its failure prediction because it has various discriminative financial ratios reflecting the retail industry situation. Research design, data, and methodology - The model to predict retail default was presented using logistic analysis. To develop the predictive model, we use the retail financial statements of the NFCF. We consider 93 unions each year from 2006 to 2012 to select confident management indexes. We also adapted the statistical power analysis that is a t-test, logit analysis, AR (accuracy ratio), and AUROC (Area Under Receiver Operating Characteristic) analysis. Finally, through the multivariate logistic model, we show that it is excellent in its discrimination power and higher in its hit ratio for default prediction. We also evaluate its usefulness. Results - The statistical power analysis using the AR (AUROC) method on the short term model shows that the logistic model has excellent discrimination power, with 84.6%. Further, it is higher in its hit ratio for failure (prediction) of total model, at 94%, indicating that it is temporally stable and useful for evaluating the management status of retail institutions. Conclusions - This model is useful for evaluating the management status of retail union institutions. First, subdividing CAEL evaluation is required. The existing CAEL evaluation is underdeveloped, and discrimination power falls. Second, efforts to develop a varied and rational management index are continuously required. An index reflecting retail industry characteristics needs to be developed. However, extending this study will need the following. First, it will require a complementary default model reflecting size differences. Second, in the case of small and medium retail, it will need non-financial information. Therefore, it will be a hybrid default model reflecting financial and non-financial information.