• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.515-521
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• 2021

The popularity of Islamic financial instruments among Muslims is not surprising. The Islamic capital market is where sharia-compliant financial assets are transacted. It works parallel to the conventional market and helps investors find sharia-compliant investment opportunities. At a time of collective confusion when the COVID-19 epidemic is contributing to unprecedented change, this paper is keen to understand how attractive conventional and Islamic stock markets have been to investors recently. Second, this paper takes advantage of the time-scale decomposition property of the wavelet to simultaneously capture risk exposure and distinguish the risks faced by short- and long-term investors. To this end, this research conducted a two-step investigation of the daily closing equity market price indices for three Islamic stock markets and their conventional counterparts. Given that different financial decisions occur with greater or less frequency, the paper examines the connectedness of stock markets operating at heterogeneous rates and identifies the timescales using wavelet-DCC-GARCH analysis to take account of both the time and the frequency domains of stock market connectedness. The paper findings highlight the strong evidence of contagion that can be seen in nearly all conventional stock markets in the COVID-19 pandemic; they reach a high level of dependency in such health crises. Furthermore, Islamic stock markets prove to be a rich ground for global diversification.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.171-179
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• 2021

In the international markets, financial variables can be volatile and may affect each other, especially in the crisis times. COVID-19, which began in China in 2019 and spread to many countries of the world, created a crisis not only in the global health system but also in the international financial markets and economy. The purpose of this study is to analyze the contagious effect of the COVID-19 pandemic on the volatility of selected financial variables such as Bitcoin, gold, oil price, and exchange rates and the connections between the volatilities of these variables during the pandemic. For this aim, we use the ARMA-EGARCH model to measure the impact of volatility and shocks. In other words, it is aimed to measure whether the impact of the shock on the financial variables of the contagiousness of the epidemic is also transmitted to the markets. The data was collected from secondary and daily data from September 2th 2019 to December 20th, 2020. It can be said that the findings obtained have statistically significant effects on the conditional variability of the variables. Therefore, there are findings that the shocks in the market are contaminated with each other.

• The Journal of Asian Finance, Economics and Business
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• v.10 no.2
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• pp.321-331
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• 2023

The radical Coronavirus (COVID-19) has swiftly unfolded everywhere globally; it continues to unfold uncontrollably and critically, affecting all economies. The pandemic is not only a health issue but also has distinct effects on the global economy and enterprises. The impact of this novel Coronavirus is also well-documented in the financial sector. This study aims to investigate the impact of COVID-19 on corporate governance and banks' financial performance. Moreover, this study also examines the impact of corporate governance on banks' performance in Bangladesh. The study uses return on equity, return on assets, non-performing loans, return on investment, and earnings per share to measure the performance of the banks. And characteristics of corporate governance are measured by board size, number of independent directors on the board, number of female directors on the board, number of board meetings, and number of members in the audit committee. The study uses descriptive statistics, correlation analysis, t-test, and panel regression analysis. The study finds that COVID-19 significantly impacts the banks' performance and some corporate governance characteristics. The study also reveals that corporate governance significantly impacts the financial performance of commercial banks. The findings of this study suggest that banks should concentrate more on corporate governance.

• Health Policy and Management
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• v.2 no.2
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• pp.1-32
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• 1992

The Canadian experience-universal government health insurance administeredby the ten provinces and two territories with some fiscal and policy variations-suggests the possibility of more effectve and efficient health care delivery system. The central purpose of the Canadian health in surance was to reduce and hopefully eliminate financial barriers to medical care. In this it succeeded. But it also produced varous kinds of unexpected side-effects on cost and quality. The Federal and Provincial Governments of Canada continue to exert theri efforts to ameliorate these problems. The lesson from Canada is that the health care revenue should be raised at the national level and managed at the regional level, and the regional healthcare financing organization has to take over the functions of the public health center. These alternatives is expected to make the Korean health care delivery system more efective and efficient, and to achieve health for all. This paper also discussed the policy agenda for implementing such alternatives in Korea.

• Health Policy and Management
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• v.9 no.2
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• pp.1-20
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• 1999

This study was conducted to investigate the predictors of hospital bankruptcy in Korea and to examine the predictive power for 3 types of statistical models of hospital bankruptcy. Data on 17 financial and 4 non-financial indicators of 30 bankrupt and 30 profitable hospitals in 1. 2, and 3 years before bankruptcy were obtained from the hospital performance databank of Korea Institute of Health Services Management. Significant variables were identified through mean comparison of each indicator between bankrupt and profitable hospitals, and the predictive power of statistical models of hospital bankruptcy were compared. The major findings are as follows. 1. Nine out of 21 indicators - fixed ratio, quick ratio, operating profit to total assets, operating profit to gross revenue, normal profit to total assets,normal profit to gross revenue, net profit to gross revenue, inventories turnrounds, and added value per adjusted patient - were found to be significantly predictitive variables in Logit and Probit models. 2. The predicdtive power of discriminant model of hospital bankruptcy in 1. 2, and 3 years before bankruptcy were 85.4, 79.0, and 83.8% respectively. With regard to the predictive power of the Logit model of hospital bankruptcy, they were 82.3, 75.8, and 80.6% respectively, and of the Probit model. 87.1. 80.6, and 88.7% respectively. 3. The predictive power of the Probit model of hospital bankruptcy is better than the other two predictive models.

• Asian Journal for Public Opinion Research
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• v.8 no.4
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• pp.432-452
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• 2020

This study explored the representation of risks from the controversial Lynas rare earth refining as a risk event by five Malaysian online mainstream and alternative newspapers using qualitative content analysis. The aim is to uncover the role of the news media in the social amplification and attenuation of risks within the literature evidence as those roles are still uncertain. Content analysis is used to explore the online newspapers' roles guided by the Social Amplification of Risk Framework (SARF). The representations typified environmental, financial, health, occupational, property, radioactive, and technological risks and established connections between four risk types (environmental, financial, radioactive, and health risks). Radioactive risk was repeatedly associated with other risks, suggesting that the volume and information flow focused on radioactive risk as a key ingredient for amplification. This connection shows that the nature of the relationship between risks is multidimensional, contradicting the unidirectional type found in previous studies. Alternative online newspapers amplified and attenuated more risks, thus, providing more diverse coverage than mainstream sources. Consequently, this study provides evidence that risk representation from rare earth refining in a digital news environment is multidimensional and intensified or weakened in a multi-layered pattern. The stakeholders are engaged in a contestation by positioning their narratives to oppose or support their interests, which are amplified or attenuated by the online newspapers as social amplification stations.

• Health Policy and Management
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• v.3 no.1
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• pp.84-101
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• 1993

The current method of rate adjustment is based on the evaluation of the financial performance of hospitals. The method has the disadvantages such as too complicated, expensive process as well as low reliability due to small sample size. This study, therefore, develops a new model for the rate adjustment with the use of the composite index. In addition to that, it examines the validity of the model by comparing the result of the new method with that of the conventional method. The idea of the new model comes from the Medicare Economic Index(MEI) on which physician fees for the Medicare patients are adjusted periodically in the United States. Medical costs are classified into three groups : labor costs, materials and other expenses. Labor costs are subdivided into physicians and other personnels. Materials are subdivided into drugs and others. Other expenses are subdivided into 5 items. Macro economic indices are selected for each cost item in order to reflect the cost inflation during the specific period. Then the composite index which integrate all items according to the ration of each item in the total costs is calculated. The result from the application of empirical data to the new model is very similar to that of the current method. Furthermore, this method is very simple and also to easy to get social concensus. This model can be replaced the current method based on the analysis of the financial performance for the adjustment of medical fees.

• The Journal of the Korea Contents Association
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• v.12 no.3
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• pp.260-267
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• 2012

This study was survey about the oral health knowledge and behaviors with alternative school students results are as follow. 1. As a result of this study, toothbrushing period was the largest with 29.5% in students of doing 'after dinner.', The appearance of taking food of containing sugar for preventing caries was the largest with 53.3% in students who responded as saying of 'tending to be not so.', A path of acquiring information on oral health knowledge was the highest with 72.0% in neighbor and family. 2. A review of Toothbrushing frequency per day, this was the largest with 45.2% in execution with 3 times, There were difference depending on grade, sex, a path of go to school, come home from school, financial status. 3. A review of the oral hygiene auxiliary supplies, this was the largest with 64.5% in students who used it, There were difference depending on the higher school year in the high school, financial status. 4. as a result of taking snack of students, it was similar to two or three times with 37.7%, one time with 34.6% per day, there was difference depending on financial status. taking drink was similar to non-drink with 38.0%, one time with 37.7%, there were difference depending on grade, financial status in a statistics.

• Journal of Information Processing Systems
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• v.15 no.6
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• pp.1306-1325
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• 2019

As the world is moving towards digitization, data is generated from various sources at a faster rate. It is getting humungous and is termed as big data. The financial sector is one domain which needs to leverage the big data being generated to identify financial risks, fraudulent activities, and so on. The design of predictive models for such financial big data is imperative for maintaining the health of the country's economics. Financial data has many features such as transaction history, repayment data, purchase data, investment data, and so on. The main problem in predictive algorithm is finding the right subset of representative features from which the predictive model can be constructed for a particular task. This paper proposes a correlation-based method using submodular optimization for selecting the optimum number of features and thereby, reducing the dimensions of the data for faster and better prediction. The important proposition is that the optimal feature subset should contain features having high correlation with the class label, but should not correlate with each other in the subset. Experiments are conducted to understand the effect of the various subsets on different classification algorithms for loan data. The IBM Bluemix BigData platform is used for experimentation along with the Spark notebook. The results indicate that the proposed approach achieves considerable accuracy with optimal subsets in significantly less execution time. The algorithm is also compared with the existing feature selection and extraction algorithms.

• Korea Journal of Hospital Management
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• v.4 no.2
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• pp.106-130
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• 1999

The main objective of this paper is to perform an empirical analysis on the relationship between various marketing activities and financial performance of Korean hospitals. A survey was conducted through structured questionnaire for 495 hospitals, and data from 218 hospitals were utilized in the final anaylsis.(response rate: 44%) Survey items include general characteristics of the hospitals(size, type, location), degree of competition, financial performance. marketing organization! budget, and level of various marketing activities in service development, access improvement, promotion, and pricing. We examine descriptive statistics of the response scores on marketing activities to evaluate the current status of marketing management of Korean hospitals, compare the results across hospital size, type and location, and perform regression analysis to investigate the relaionship between marketing and financial performance. Major findings are as follows: 1) About 46% of the responding hospitals have marketing departments although they are named as 'planning' or 'PR' departments, and the marketing budget on average represents 1.74% of the total expenditures. 2) Average level of marketing activities is calculated to be about 3.32 on 5-point scale, meaning that Korean hospitals implement their marketing programs 'somewhat actively'; however, the scores on the areas of marketing plannning and strategy are relatively low. 3) Large hospitals tend to be more active in marketing than small hospitals, and public hospitals' activities in marketing are not lower compared to private hospitals. 4) Level of overall marketing activities is positively related with financial performance measured by various finacial indicators except for profitability, implying that marketing is successful in revenue generation but needs to be more cost-effective. Also, when the marketing variables are separately included in the regression, no significant relationship is found, which means that various marketing activities are more effective when they are collectively implemented.