• Journal of Environmental Health Sciences
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• v.10 no.1
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• pp.99-106
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• 1984

The diets used to this experiment were composed only of stock diet for group A, a mixture of stock diet and 2% cholesterol for group B, and 5%, 10% perilia powder for group C, D and 5%, 10% pine nut for group E, F in addition to group B diet respectively. All groups fed with these experimental diets for 3 weeks were fasted for 15 hours at the end of the experiment, and then they were decapitated to take serum. The serum was used to measure the level of glucose, total cholesterol, triglyceride, HDL-cholesterol and lipoprotein composition. The results were summarized as follows. 1. Perilla and pine nut diets have no influence on body weight and food intake in cholesterolfed male rats 2. The blood glucose level was not changed significantly at groups C-F. 3. Total cholesterol level was significantly decreased by 21.6% ~ 29.7% at group C-F than at group B. 4. HDL-cholesterol level was increased by 51.3% ~ 86.1% at group C-F than at Group B. 5. The $\alpha/\beta$ ratio which is 0.51 at the group A was risen to 0.99 at the group B. However, this ratio was decreased to 0.5 0 - 0.51 at group C, D and to 0.68 - 0.69 at group E.F.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.23 no.58
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• pp.101-111
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• 2000

This study uses financial statements on several hundred companies listed in the Korea Stock Market to analyze trends in inventory turnover ratios and examine the effect of inventory performance on the profitability of the companies. Statistical analyses are done to determine if there have been significant changes in inventory turnover ratios and how turnover ratio pattern varied by factors such as industry, size of the firm, and the effectiveness of previous inventory management. Inventory turnover ratios decreased for four consecutive years and were found to vary by industry. Also it is proved that there was statistically significant relationship between the size of the firm and the average level of inventory as a fraction of sales. Regression analysis is done to investigate the relationship between the inventory management performance and profitability of companies and it is found that improvement in inventory level affected profitability of the companies.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.1
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• pp.47-58
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• 2020

The research aims to investigate the determinants of the financial performance of 1343 Vietnamese companies categorized into six different industries listed on the Vietnamese Stock Exchange over a four-year period from 2014 to 2017 using STATA software. Those determinants include firm size, liquidity, solvency, financial leverage, and financial adequacy while the financial performance is evaluated by three different ratios: return on assets (ROA), return on equity (ROE), and return on sales (ROS). The research results from these companies during the given period indicate that: (1) Firm size has a positive impact on both ROA and ROS, especially ROA but it has the opposite effect on ROE, (2) Adequacy ratio impacts positively on ROA and ROS but negatively on ROE, (3) Financial leverage considerably negative influences on ROE and ROS but positively impacts on ROA, (4) Liquidity has a positive effect on both ROA and ROE but a negative one on ROS and (5) Solvency has a positive impact on ROA and ROS but the negative impact on ROE. Furthermore, agriculture accounted for the highest percentage of profitability at the beginning, which was replaced by service for ROA but manufacture for ROE from 2016 to 2017 as opposed to the least in transportation.

• The Korean Journal of Financial Management
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• v.20 no.1
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• pp.191-212
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• 2003

Recently, there is a growing body of literature that suggests that information inefficiency is one of the causes of the asymmetric volatility. If this explanation for the asymmetric volatility is appropriate, then innovations, such as the introduction of futures, may be expected to impact the asymmetric volatility of stock market. As transaction costs and margin requirements in the futures market are lower than those in the spot market, new information is transmitted to futures prices more quickly and affects spot prices through arbitrage trading with spots. Also, the merit of the futures market may attract noise traders away from the spot market to the futures market. This study examines the impact of futures on the asymmetry of stock market volatility. If the asymmetric volatility is significant lower post-futures and exist in the futures market, it has validity that the asymmetric volatility is caused by information inefficiency in the spot market. The data examined are daily logarithmic returns on KOSPI 200 stock price index from January 4, 1993 to December 26, 2000. To examine the existence of the asymmetric volatility in the futures market, logarithmic returns on KOSPI 200 futures are used from May 4, 1996 to December 26, 2000. We used a conditional mode of TGARCH(threshold GARCH) of Glosten, Jagannathan and Runkel(1993). Pre-futures the spot market exhibits significant asymmetric responses of volatility to news and post-futures asymmetries are significantly lower, irrespective of bear market and bull market. The results suggest that the introduction of stock index futures has an effect on the asymmetric volatility of the spot market and are inconsistent with leverage being the sole explanation of asymmetry. However, it is found that the volatility of futures is not so asymmetric as expected.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.303-314
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• 2021

The higher the firm performance, the more chances enterprises can expand and develop their production, create jobs, and improve the workers' living quality. The main objective of this study was to measure the internal factors influencing the firm's performance of food and beverage (F&B) firms listed on the Hanoi Stock Exchange (HNX). Data was collected on 15 F&B firms listed on the HNX from 2015 to 2019 We use mixed research method, both qualitative and quantitative. For the quantitative research method, the supporting tool is Stata13 software. The results via Ordinary Least Squares (OLS) regression method show the impacts of internal factors with the following observed variables: the ratio of short-term debt to total liabilities (CS1) and total assets (S2) have an opposite impact (-) on ROA and ROE; debt-to-total assets ratio (CS2) has an opposite effect (-) on ROA; growth of total assets (G2) of the growth factor positively affects (+) ROA and ROE, the remaining factors do not affect ROA and ROE; and internal factors do not influence ROS. Based on the findings, some recommendations have been proposed to help the F&B firms listed on the Hanoi Stock Exchange improving their firm performance in the future.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.2
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• pp.177-183
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• 2022

The COVID-19 pandemic has hurt the economy and negatively impacted all enterprises' financial performance. The COVID-19 pandemic has put a strain on global manufacturing capacity and supply chains, and it is also the pandemic that has given up new opportunities for the logistics industry to develop as e-commerce has developed. By analyzing the financial performance of logistic firms listed on the Vietnam Stock Exchange, this study tries to quantify those consequences. A total of 114 logistic companies were included in the study's sample. The Wilcoxon Signed Rank Test was performed to test the difference between some ratios in 2019 and 2020. This study found that the financial performance of 114 logistic firms listed on the Vietnam stock exchange has not improved. The data show that during the COVID-19 pandemic, the leverage ratio increased while the profitability and efficiency ratios decreased. The liquidity ratio did not show any significant differences. On the contrary, these businesses' performance, such as returns on assets, receivable turnover, and leverage, has decreased. The COVID-19 had a global impact on supply chains, therefore export activity and international transportation were badly hampered, with only a few domestic logistic enterprises growing.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.51 no.4
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• pp.535-544
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• 2015

Yield per recruit model is the most popular method for fisheries stock assessment. However, stock assessment using yield per recruit model can lead to recruitment overfishing as this model only considers the maximum yield per recruit without spawning biomass for reproduction. For this reason, spawning biomass per recruit model which reveals variations of spawning stock biomass per fishing mortality (F) and age at first capture ($t_c$) is considered as more proper method for stock assessment. There are mainly two methods for spawning biomass per recruit model known as age specific selectivity method and knife-edged selectivity method. In the knife-edged selectivity method, the spawning biomass per recruit has been often calculated using biomass per recruit value by multiplying the maturity ratio of the recruited age. But the maturity ratio in the previous method was not considered properly in previous studies. Therefore, a new method of the knife-edged selectivity model was suggested in this study using a weighted average of the maturity ratio for ages from the first capture to the lifespan. The optimum fishing mortality in terms of $F_{35%}$ which was obtained from the new method was compared to the old method for small yellow croaker stock in Korea. The value of $F_{35%}$ using the new knife-edged selectivity model was 0.302/year and the value using the old model was 0.349/year. However, the value of $F_{35%}$ using the age specific selectivity model was estimated as 0.320/year which was closer to the value from the new knife-edged selectivity model.

• Journal of the Korean Society for Marine Environment & Energy
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• v.18 no.4
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• pp.263-273
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• 2015

We estimated the global inflow and stock of plastic marine debris. In South Korea, we estimated that the annual inflow of plastic marine debris (72,956 tons) was about 1.4% of annual plastics consumption (5.2 million tons) in 2012. By applying this 1.4% ratio to global plastics production from 1950 to 2013, we estimated that 4.2 million tons of plastic debris entered the ocean in 2013 and that there is a stock of 86 million tons of plastic marine debris as of the end of 2013, assuming zero outflow. In addition, with a logistic model, if 4% of petroleum is turned into plastics, the final stock of plastic marine debris shall be 199 million tons at the end. As the inflow and the stock are different units of measurement, better indicators to assess the effectiveness of inflow-reducing policies are needed. And, as the pollution from plastic marine debris is almost irreversible, countermeasures to prevent it should be valued more, and stronger preventive measures should be taken under the precautionary principle. As this is a preliminary study based on limited information, further research is needed to clarify the tendency of inflow and stock of plastic marine debris.

• 한국정보통신설비학회:학술대회논문집
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• 2009.08a
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• pp.127-130
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• 2009

We propose a method for detecting DDoS (Distributed Denial of Service) traffic in real-time inside the backbone network. For this purpose, we borrow the concepts of MACD (Moving Average Convergence Divergence) and RoC (Rate of Change), which are used for technical analysis in the stock market Due to the fact that the method is based on a quantitative, rather than a heuristic, detection level, DDoS traffic can be detected with greater accuracy (by reducing the false alarm ratio). Through simulation results, we show how the detection level is determined and demonstrate how much the accuracy of detection is enhanced.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.2
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• pp.15-21
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• 2014

The long memory properties of the hedge ratio for stock and futures have not been systematically investigated by the extant literature. To investigate hedge ratio' long memory, this paper employs a data set including KOSPI200 and S&P500. Coakley, Dollery, and Kellard(2008) employ a data set including a stock index and commodities foreign exchange, and suggested the S&P500 to be a fractionally integrated process. This paper firstly estimates hedge ratios with two dynamic models, BEKK(Bollerslev, Engle, Kroner, and Kraft) and diagonal-BEKK, and tests the long memory of hedge ratios with Geweke and Porter-Hudak(1983)(henceforth GPH) and Lo's modified rescaled adjusted range test by Lo(1991). In empirical results, two hedge ratios based on KOSPI200 and S&P500 show considerably significant long memory behaviours. Thus, such results show the hedge ratios to be stationary and strongly reject the random walk hypothesis on hedge ratios, which violates the efficient market hypothesis.