• Asian Journal of Business Environment
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• v.11 no.4
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• pp.17-29
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• 2021

Purpose: The aim of this study is to explore the dynamic linkage between conditional stock market volatility and macroeconomic uncertainty of Bangladesh. Research design, data, and methodology: This study uses monthly data covering the time period from January 2005 to December 2018. A comprehensive set of macroeconomic variables, namely industrial production index (IP), consumer price index (CPI), broad money supply (M2), 91-day treasury bill rate (TB), treasury bond yield (GB), exchange rate (EX), inflow of foreign remittance (RT) and stock market index of DSEX are used for analysis. Symmetric and asymmetric univariate GARCH family of models and multivariate VAR model, along with block exogeneity and impulse response functions, are implemented on conditional volatility series to discover the possible interactions and causal relations between macroeconomic forces and stock return. Results: The analysis of the study exhibits time-varying volatility and volatility persistence in all the variables of interest. Moreover, the asymmetric effect is found significant in the stock return and most of the growth series of macroeconomic fundamentals. Results from the multivariate VAR model indicate that only short-term interest rate significantly influence the stock market volatility, while conditional stock return volatility is significant in explaining the volatility of industrial production, inflation, and treasury bill rate. Conclusion: The findings suggest an increasing interdependence between the money market and equity market as well as the macroeconomic fundamentals of Bangladesh.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.23-30
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• 2021

The purpose of this study is to compare the level of risk and return of Islamic stocks in the Jakarta Islamic Index (JII) with conventional stocks on the IDX30 in the period from January 2017 to July 2019. The Sharpe ratio method is used to calculate risk and stock returns. The performance of the stock portfolio is measured by comparing the risk premium portfolio with the portfolio risk that is expressed as a standard deviation of the total risk. This study uses secondary data collected by the Indonesia Stock Exchange (IDX), which provides the names of stock issuers included in the JII and IDX30 indices along with their montly closing price. The results of the descriptive analysis show that the JII Sharpe ratio index from January 2017 to July 2019 is from the minimum range of -0.28820 to a maximum range of 0.05622, while the IDX30 Sharpe ratio index from January 2017 to July 2019 is from the minimum range of -0.09290 to the maximum range of 0.17436. The results of inferential analysis using a different test show that there is a significant difference between the Sharpe ratio JII and IDX30 in measuring the performance of the stock portfolio.

• Journal of Energy Engineering
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• v.24 no.2
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• pp.9-16
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• 2015

As electricity is an indispensable input to human's existence and industrial production, economic benefits arise from consumption. The economic benefits of the electricity consumption are useful information in various fields of electricity-related policy. Therefore, this study attempts to value the economic benefits from electricity use. The economic benefit of electricity consumed is the area under the demand curve which made of the sum of the actual consumer expenditure and the consumer surplus. Consumer expenditure can be easily observed but the information on price elasticity of demand is necessarily required to compute consumer surplus. This study derives the estimates for price elasticities through literature review. The price elasticities of the electricity demand for residence, industry, and commercial are estimated to be -0.332, -0.351, and -0.263, respectively. Because the consumer surplus of the electricity consumption for residence, industry, and commercial are computed to be 191.54, 143.44, and 231.91 won per kWh, respectively. Given that average prices of electricity use were 127.02, 100.70, and 121.98 won per kWh for the year 2013, the economic benefit are calculated to be 318.56, 244.14, and 353.89 won per kWh, respectively. We can convert the values to 321.96, 246.75, and 357.67 won per kWh in 2014 constant price, respectively, using consumer price index. They can be used in the economic feasibility analysis of a new electricity supply project.

• Journal of Korean Home Economics Education Association
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• v.18 no.2 s.40
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• pp.47-62
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• 2006

This research was conducted to find out price change of education service. Consumer Price Index annual series data in Korea National Statistical office from 1990 to 2004 were used for analysis. First, education price indexes showed an average annual increase of 7.3% during the last 15 years (1990-2004), marking the highest increase among items in the CPI basket. The average annual increase in tuition fees and other fees, expenditure classes of education price. has been 7.5% and 6.0%, respectively. Secondly, an average increase in tuition fees for two-year college was higher, followed by tuition fees for kindergarten, private four-year college, national four-year college and secondary schools. An average increase in primary school textbook costs was higher in the category of 'other fees' followed by junior high school textbook costs, junior high school supplementary book costs and home delivery supplementary book costs Thirdly, there were no differences in price changes of secondary school textbooks, junior high school supplementary books, high school supplementary books among 16 locations. An average increase in after-school education (selective subjects) for college entrance examination was higher in Gwangju but lower in Seoul, compared with other cities. An average of 7% difference was seen annually among regions. When the year 2000 was considered as 100, the most significant gains were seen in Kwangju at 80% and Gangwon at 57%. An increase in after-school education (all subjects) for college entrance examination was higher in South Cholla Province but lower in North Gyeongsang Province. An increase in after-school education (all subjects) for college entrance examination was higher in South Cholla Province but lower in North Gyeongsang Province. An average of 7% difference was seen annually in the annual increase. When the year 2000 was considered 100, most significant increase was seen in Busan and South Gyeongsang Province at 37% and Jeju Island at 34%.

• Health Policy and Management
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• v.11 no.3
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• pp.46-70
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• 2001

Medical Aid expenditure Increased rapidly at a higher rate than that of Medical Insurance during the period 1992-1999. To establish an effective cost containment strategy, knowledge of the cause and the nature of the increase of Medical Aid expenditure is required. The purpose of this study was to analyze increasing rates of Medical Aid expenditure by the components of medical expenses. Data were collected using the Medical Aid Statistical Yearbook during the period of 1992-1999. The major findings were as follows: 1. The annual mean increasing rate of Medical Aid expenditure between 1992 and 1999 was 22.8%, which exceeding that of Medical Insurance expenditure (17.5%) between 1992 and 1999. Since 1998, Medical Aid expenditure increased even more rapidly than in previous years, with the increase in number of Medical Aid beneficiaries. 2. Of Medical Aid expenditure, that of inpatient and outpatient annually increased 24.2% and 22.8% respectively and that of type 1 and type 2 increased annually 28.8% (outpatient) ∼29.9% (inpatient), 14.3% (outpatient) ∼ 15.5% (inpatient). Therefore, Medical Aid expenditure of inpatient and type 1 led the increase of Medical Aid expenditure. 3. Between 1992 and 1997, the frequencies of utilization per beneficiary and the charges per case positively contributed to the increase of Medical Aid expenditure while the number of beneficiaries contributed negatively, but since 1998, the number of beneficiaries increased and positively contributed to the increase of Medical Aid expenditure. 4. According to the analysis of the charges per case, the increase of the price index led to the increase of the charges per case but the days of medication and service intensity also contributed to the increase of the charges per case variably by year. Considering the above findings, factors associated with the Medical Aid system affected the increase of Medical Aid expenditure in addition to the general factors of the increase in medical expenditure. In conclusion, it appears that a more intensive cost containment strategy is required to control rapidly increasing Medical Aid expenditure. For this, more precise analysis and development of policy considering the effect of the number of beneficiaries and the increase of price index is needed.

• The Korean Journal of Applied Statistics
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• v.28 no.3
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• pp.429-442
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• 2015

Volatility forecasting in financial markets is an important issue because it is directly related to the profit of return. The volatility is generally modeled as time-varying conditional heteroskedasticity. A generalized autoregressive conditional heteroskedastic (GARCH) model is often used for modeling; however, it is not suitable to reflect structural changes (such as a financial crisis or debt crisis) into the volatility. As a remedy, we introduce the Markov regime switching GARCH (MRS-GARCH) model. For the empirical example, we analyze and forecast the volatility of the daily Korea Composite Stock Price Index (KOSPI) data from January 4, 2000 to October 30, 2014. The result shows that the regime of low volatility persists with a leverage effect. We also observe that the performance of MRS-GARCH is superior to other GARCH models for in-sample fitting; in addition, it is also superior to other models for long-term forecasting in out-of-sample fitting. The MRS-GARCH model can be a good alternative to GARCH-type models because it can reflect financial market structural changes into modeling and volatility forecasting.

• Korean Journal of Agricultural Science
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• v.46 no.4
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• pp.955-969
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• 2019

Analyzing on-line consumer responses is directly related to the management performance of food companies. Therefore, this study collected and analyzed data from an on-line portal site created by consumers about food companies with issues and examined the relationships between the data and the management performance. Through this process, we identified consumers' awareness of these companies obtained from big data analysis and analyzed the relationship between the results and the sales and stock prices of the companies through a time-series graph and correlation analysis. The results of this study were as follows. First, the result of the text mining analysis suggests that consumers respond more sensitively to negative issues than to positive issues. Second, the emotional analysis showed that companies' ethics issues (Enterprise 3 and 4) have a higher level of emotional continuity than that of food safety issues. It can be interpreted that the problem of ethical management has great influence on consumers' purchasing behavior. Finally, In the case of all negative food issues, the number of word frequency and emotional scores showed opposite trends. As a result of the correlation analysis, there was a correlation between word frequency and stock price in the case of all negative food issues and also between emotional scores and stock price. Recently, studies using big data analytics have been conducted in various fields. Therefore, based on this research, it is expected that studies using big data analytics will be done in the agricultural field.

• Journal of the Korean Data and Information Science Society
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• v.28 no.6
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• pp.1327-1336
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• 2017

In this study, the problems in the short term stock market forecasting are analyzed and the feasibility of the ARIMA method and the backpropagation neural network is discussed. Neural network and genetic algorithm in short term stock forecasting is also examined. Since the backpropagation algorithm often falls into the local minima trap, we optimized the backpropagation neural network and established a genetic algorithm based on backpropagation neural network for forecasting model in order to achieve high forecasting accuracy. The experiments adopted the korea composite stock price index series to make prediction and provided corresponding error analysis. The results show that the genetic algorithm based on backpropagation neural network model proposed in this study has a significant improvement in stock price index series forecasting accuracy.

• Korea Real Estate Review
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• v.27 no.1
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• pp.7-16
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• 2017

In this study, we examine whether there are prospect theory investment patterns for individual investors in the real estate market. We use the maximum potential profit rate and the maximum potential loss rate of individual investors as a research method and additionally analyze it using the Jeong and Park(2015) model. As a result of the analysis, it was found that the investment pattern according to the prospect theory and disposition effect for individual investors. And we find the difference between zoning areas. This difference in investment behavior is believed to be due to the purpose of the real estate and the existence of rent fee, which creates a difference in investment behavior depending on the purpose. The limitations of this study are the analysis measurement of potential profit and potential loss using the land price index like the study of jeong and Park(2015). This implies that a new property price index needs to be developed or a benchmark for real estate assets is needed for deeper study of real estate investment sentiment.

• The Journal of the Korea Contents Association
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• v.19 no.8
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• pp.535-543
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• 2019

This study was conducted to find a pathway from the general government debt to GDP ratio(GDR) to the age standardized Suicide Rate(suicide rate). The variables used in this study are GDR, the consumer price index for living necessaries(CPIL), the household debt to GDP ratio(Household Debt), and suicide rate. The data used in this study were standardized data from 2001 to 2015 of Korean Statistical Information Service(KOSIS) and the path analysis was performed using the analysis IBM SPSS 22 and Amos. As a result of the path analysis, the path of GDR-CPIL-Household Debt-Suicide rate, and the direct of effect were in order 0.954, 0.904 and 0.675 were confirmed. The indirect effect of GDR on Household Debt is 0.862, GDR on Sucide Rate is 0.581, CPIL on Suicide Rate is 0.610. Neither of these indirect effect coefficient was significant(p>0.05).